Revonate

revonate

Startups of The Year 2023 Winners: North America 

Authors:
(1) Hoon Kim, Beeble AI, and contributed equally to this work;
(2) Minje Jang, Beeble AI, and contributed equally to this work;
(3) Wonjun Yoon, Beeble AI, and contributed equally to this work;
(4) Jisoo Lee, Beeble AI, and contributed equally to this work;
(5) Donghyun Na, Beeble AI, and contributed equally to this work;
(6) Sanghyun Woo, New York University, and contributed equally to this work. Editor's Note: This is Part 1 of 14 of a study introducing a method for improving how light and shadows can be applied to human portraits in digital images. Read the rest below. Table of Links Abstract and 1. Introduction
2. Related Work
3. SwitchLight and 3.1. Preliminaries
3.2. Problem Formulation
3.3. Architecture
3.4. Objectives
4. Multi-Masked Autoencoder Pre-training
5. Data
6. Experiments
7. Conclusion Appendix A. Implementation Details
B. User Study Interface
C. Video Demonstration
D. Additional Qualitative Results & References Abstract We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework. Drawing on the Cook-Torrance reflectance model, we have meticulously configured the architecture design to precisely simulate light-surface interactions. Furthermore, to overcome the limitation of scarce high-quality lightstage data, we have developed a selfsupervised pre-training strategy. This novel combination of accurate physical modeling and expanded training dataset establishes a new benchmark in relighting realism. 1. Introduction Relighting is more than an aesthetic tool; it unlocks infinite narrative possibilities and enables seamless integration of subjects into diverse environments (see Fig. 1). This advancement resonates with our innate desire to transcend the physical constraints of space and time, while also providing tangible solutions to practical challenges in digital content creation. It is particularly transformative in virtual (VR) and augmented reality (AR) applications, where relighting facilitates the real-time adaptation of lighting, ensuring that users and digital elements coexist naturally within any environment, offering a next level of telepresence. In this work, we focus on human portrait relighting. While the relighting task fundamentally demands an indepth understanding of geometry, material properties, and illumination, the challenge is more compounded when addressing human subjects, due to the unique characteristics of skin surfaces as well as the diverse textures and reflectance properties of a wide array of clothing, hairstyles, and accessories. These elements interact in complex ways, necessitating advanced algorithms capable of simulating the subtle interplay of light with these varied surfaces. Currently, the most promising approach involves the use of deep neural networks trained on pairs of high-quality relit portrait images and their corresponding intrinsic attributes, which are sourced from a light stage setup [10]. Initial efforts approached the relighting process as a ‘black box’ [45, 48], without delving into the underlying mechanisms. Later advancements adopted a physics-guided model design, incorporating the explicit modeling of image intrinsics and image formation physics [32]. Pandey et al. [34] proposed the Total Relight (TR) architecture, also physics-guided, which decomposes an input image into surface normals and albedo maps, and performs relighting based on the Phong specular reflectance model. The TR architecture has become foundational model for image relighting, with most recent and advanced architectures building upon its principle [23, 31, 52]. Following the physics-guided approach, our contribution lies in a co-design of architecture with a self-supervised pre-training framework. First, our architecture evolves towards a more accurate physical model by integrating the Cook-Torrance specular reflectance model [8], representing a notable advancement from the empirical Phong specular model [37] employed in the Total Relight architecture. The Cook-Torrance model adeptly simulates light interactions with surface microfacets, accounting for spatially varying roughness and reflectivity. Secondly, our pretraining framework scales the learning process beyond the typically hard-to-obtain lightstage data. By revisiting the masked autoencoder (MAE) framework [19], we adept it for the task of relighting. These modifications are crafted to address the unique challenges posed by this task, enabling our model to learn from unlabelled data and refine its ability to produce realistic relit portraits during fine-tuning. To the best of our knowledge, this is the first time applying self-supervised pre-training specifically to the relighting task. To summarize, our contribution is twofold. Firstly, by enhancing the physical reflectance model, we have introduced a new level of realism in the output. Secondly, by adopting self-supervised learning, we have expanded the scale of the training data and enhanced the expression of lighting in diverse real-world scenarios. Collectively, these advancements have led SwitchLight framework to achieve a new state-of-the-art in human portrait relighting. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Hoon Kim, Beeble AI, and contributed equally to this work; (2) Minje Jang, Beeble AI, and contributed equally to this work; (3) Wonjun Yoon, Beeble AI, and contributed equally to this work; (4) Jisoo Lee, Beeble AI, and contributed equally to this work; (5) Donghyun Na, Beeble AI, and contributed equally to this work; (6) Sanghyun Woo, New York University, and contributed equally to this work. Authors: Authors: (1) Hoon Kim, Beeble AI, and contributed equally to this work; (2) Minje Jang, Beeble AI, and contributed equally to this work; (3) Wonjun Yoon, Beeble AI, and contributed equally to this work; (4) Jisoo Lee, Beeble AI, and contributed equally to this work; (5) Donghyun Na, Beeble AI, and contributed equally to this work; (6) Sanghyun Woo, New York University, and contributed equally to this work. Editor's Note: This is Part 1 of 14 of a study introducing a method for improving how light and shadows can be applied to human portraits in digital images. Read the rest below. Editor's Note: This is Part 1 of 14 of a study introducing a method for improving how light and shadows can be applied to human portraits in digital images. Read the rest below. Editor's Note: This is Part 1 of 14 of a study introducing a method for improving how light and shadows can be applied to human portraits in digital images. Read the rest below. Editor's Note: This is Part 1 of 14 of a study introducing a method for improving how light and shadows can be applied to human portraits in digital images. Read the rest below. Table of Links Abstract and 1. Introduction 2. Related Work 3. SwitchLight and 3.1. Preliminaries 3.2. Problem Formulation 3.3. Architecture 3.4. Objectives 4. Multi-Masked Autoencoder Pre-training 5. Data 6. Experiments 7. Conclusion Abstract and 1. Introduction Abstract and 1. Introduction 2. Related Work 2. Related Work 3. SwitchLight and 3.1. Preliminaries 3. SwitchLight and 3.1. Preliminaries 3.2. Problem Formulation 3.2. Problem Formulation 3.3. Architecture 3.3. Architecture 3.4. Objectives 3.4. Objectives 4. Multi-Masked Autoencoder Pre-training 4. Multi-Masked Autoencoder Pre-training 5. Data 5. Data 6. Experiments 6. Experiments 7. Conclusion 7. Conclusion Appendix A. Implementation Details B. User Study Interface C. Video Demonstration D. Additional Qualitative Results & References A. Implementation Details A. Implementation Details B. User Study Interface B. User Study Interface C. Video Demonstration C. Video Demonstration D. Additional Qualitative Results & References D. Additional Qualitative Results & References Abstract We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework. Drawing on the Cook-Torrance reflectance model, we have meticulously configured the architecture design to precisely simulate light-surface interactions. Furthermore, to overcome the limitation of scarce high-quality lightstage data, we have developed a selfsupervised pre-training strategy. This novel combination of accurate physical modeling and expanded training dataset establishes a new benchmark in relighting realism. We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework. Drawing on the Cook-Torrance reflectance model, we have meticulously configured the architecture design to precisely simulate light-surface interactions. Furthermore, to overcome the limitation of scarce high-quality lightstage data, we have developed a selfsupervised pre-training strategy. This novel combination of accurate physical modeling and expanded training dataset establishes a new benchmark in relighting realism. 1. Introduction Relighting is more than an aesthetic tool; it unlocks infinite narrative possibilities and enables seamless integration of subjects into diverse environments (see Fig. 1). This advancement resonates with our innate desire to transcend the physical constraints of space and time, while also providing tangible solutions to practical challenges in digital content creation. It is particularly transformative in virtual (VR) and augmented reality (AR) applications, where relighting facilitates the real-time adaptation of lighting, ensuring that users and digital elements coexist naturally within any environment, offering a next level of telepresence. In this work, we focus on human portrait relighting. While the relighting task fundamentally demands an indepth understanding of geometry, material properties, and illumination, the challenge is more compounded when addressing human subjects, due to the unique characteristics of skin surfaces as well as the diverse textures and reflectance properties of a wide array of clothing, hairstyles, and accessories. These elements interact in complex ways, necessitating advanced algorithms capable of simulating the subtle interplay of light with these varied surfaces. Currently, the most promising approach involves the use of deep neural networks trained on pairs of high-quality relit portrait images and their corresponding intrinsic attributes, which are sourced from a light stage setup [10]. Initial efforts approached the relighting process as a ‘black box’ [45, 48], without delving into the underlying mechanisms. Later advancements adopted a physics-guided model design, incorporating the explicit modeling of image intrinsics and image formation physics [32]. Pandey et al. [34] proposed the Total Relight (TR) architecture, also physics-guided, which decomposes an input image into surface normals and albedo maps, and performs relighting based on the Phong specular reflectance model. The TR architecture has become foundational model for image relighting, with most recent and advanced architectures building upon its principle [23, 31, 52]. Following the physics-guided approach, our contribution lies in a co-design of architecture with a self-supervised pre-training framework. First, our architecture evolves towards a more accurate physical model by integrating the Cook-Torrance specular reflectance model [8], representing a notable advancement from the empirical Phong specular model [37] employed in the Total Relight architecture. The Cook-Torrance model adeptly simulates light interactions with surface microfacets, accounting for spatially varying roughness and reflectivity. Secondly, our pretraining framework scales the learning process beyond the typically hard-to-obtain lightstage data. By revisiting the masked autoencoder (MAE) framework [19], we adept it for the task of relighting. These modifications are crafted to address the unique challenges posed by this task, enabling our model to learn from unlabelled data and refine its ability to produce realistic relit portraits during fine-tuning. To the best of our knowledge, this is the first time applying self-supervised pre-training specifically to the relighting task. To summarize, our contribution is twofold. Firstly, by enhancing the physical reflectance model, we have introduced a new level of realism in the output. Secondly, by adopting self-supervised learning, we have expanded the scale of the training data and enhanced the expression of lighting in diverse real-world scenarios. Collectively, these advancements have led SwitchLight framework to achieve a new state-of-the-art in human portrait relighting. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv

New Framework by Beeble Researchers Promises to Bring Realistic Glow to Digital Portraits Using AI

Nuwe raamwerk deur Beeble Researchers belowe om realistiese gloed na digitale portrette te bring met behulp van AI

Machaq Marco Beeble Yatxatirinakax AI apnaqasa Retratos Digitales ukar chiqpach qhant’ayañ arsuwayi

Un nuevo marco de trabajo de los investigadores de Beeble promete aportar un brillo realista a los retratos digitales mediante inteligencia artificial

מסגרת חדשה מאת Beeble Researchers מבטיחה להביא זוהר ריאליסטי לפורטרטים דיגיטליים באמצעות AI

Beeble-ի հետազոտողների նոր շրջանակը խոստանում է իրատեսական փայլ հաղորդել թվային դիմանկարներին՝ օգտագործելով AI

Beeble 研究者による新しいフレームワークは、AI を使用してデジタル ポートレートにリアルな輝きをもたらすことを約束します

Cadre ya sika ya ba chercheurs ya Beeble elaki ko mema éclat réaliste na ba portraits numériques en utilisant AI

Ny rafitra vaovao nataon'ny Beeble Researchers dia mampanantena fa hitondra hazavana tena misy amin'ny sary nomerika amin'ny fampiasana AI

Новая платформа от исследователей Beeble обещает придать реалистичное свечение цифровым портретам с помощью ИИ

Ibikorwa bishya byakozwe nabashakashatsi ba Beeble basezeranya kuzana umucyo nyawo ku mashusho ya Digital ukoresheje AI

Chimiro Chitsva neBeeble Vanotsvaga Vanovimbisa Kuunza Kupenya Kwechokwadi kune Digital Portraits Uchishandisa AI.

Rimba Lerintshwa hi Valavisisi va Beeble Ri Tshembisa ku Tisa Ku Vonakala ka Xiviri eka Swifaniso swa Dijitali hi ku Tirhisa AI

At HackerNoon, we value stories about building groundbreaking tech. These questions aren’t just about AI mechanics—they’re about the innovation, challenges, and creativity of bringing cutting-edge tools to life, a perfect fit for our community of tech leaders, builders, and future-minded readers. Introduction My name is Aniruth. I work on the storage team at Databricks, where we work on enabling customers to save large amounts of data in an open, scalable format with our Data Intelligence Platform. Specifically, I work on our interoperability efforts with Delta Lake and Apache Iceberg. HackerNoon: What’s the main problem your AI product is designed to solve, and what is effective about your approach to solving it? Aniruth: Databricks unifies data and AI to give customers actionable intelligence—what we call data intelligence. This includes ingesting large amounts of data, ETL, large-scale storage, business intelligence queries, and AI workloads. The techniques used in machine learning in the past decade have been around since the 1980s; the rise of big data made it feasible to run algorithms at scale. Techniques like few shot prompting or RAG rely on high-quality data. Models that have better data win against those with better architectures. Databricks has put significant investment into leading efforts in the data space, pioneering the lakehouse architecture with open data formats and open governance, where customers are able to get the best insights with the best performance from data lakes. What criteria did you use to select the specific AI models for this product, and how does your company make decisions like this? We use AI models in a number of ways in the product - such as Llama 3 for the AI Assistant. We believe in an open data and AI ecosystem and encourage our customers to use any model of their choice. We help make sure customers have end-to-end governance across the AI lifecycle regardless of the models they use, so they can focus on making their models purpose-built for their use cases. How do you ensure your product delivers accurate and unbiased results to users? We have spent significant effort and investment in prioritizing accuracy and unbiased answers for AI usage within our products, and continue to conduct frequent testing. What is your day in the life like as a product manager? The data and AI space is rapidly evolving, so it’s very important to keep up to date. My day can include talking to customers, market analysis, putting together a product requirements document, or preparing marketing materials. My favorite part is getting to make diagrams illustrating how things will work, as it’s pretty fun to transform an idea into a visual. What’s the next big breakthrough in AI that everyone should be watching for? There’s a lot of big breakthroughs coming soon. One that I’m particularly interested in is the hyperpersonalization of content. For the past decade, ads have been fine-tuned to the specific watcher. Some elements of content have been tuned, such as what thumbnail Netflix shows a user, but the actual content (the video itself) has not been. It’ll be interesting to see how directors/producers balance telling the story they want to and the user’s interests. What’s been the biggest challenge you’ve faced in bringing this AI product to market, from concept to launch? I work on large-scale data storage, which can be very confusing to understand. We have various AI optimizations on data, but there’s often questions about when these optimizations are run, how they work, what they don’t cover, etc. With these kinds of questions, it is important to ensure we have clear, consistent messaging about what we are building and why. I’ve found that explaining the cause of limitations resonates very well with customers. How do you envision AI evolving to better understand and respond to human emotions, and what challenges or opportunities do you see in that area? Multimodal models are going to get significantly better in the coming years, which will change our primary mode of interaction with AI. Figuring out human emotion is significantly easier from visual or audio information compared to text. I think there's an opportunity to create more natural interactions in a wider array of scenarios. What performance metrics or KPIs do you track to gauge the success of this AI product? We typically want to see good feedback and usage. I talk to customers pretty often to get a sense of how and why they think about our products, which is key to explain why we see certain trends in metrics. How do you approach designing a product experience that’s not only functional but also engaging and memorable for users? Large-scale data products are notoriously challenging to use. Simple examples are easy to set up, but production workloads typically involve confusing configuration and code. It’s been a high priority for me to build out functionality that customers need, while making the product very simple to use. The future is where any business gets insights from their data easily. In the current world, data-driven business insights are typically restricted to the biggest companies - but even they would prefer a simpler experience. In the long-term, how do you think AI will help the individual reach one’s full potential? For the individual, I’m very excited about AI integrations into hardware. Up to now, we’ve largely seen AI in software applications like websites. There’s many larger applications of building devices that utilize AI, and we’re already starting to see some of those implications in cars and phones. Where do you see the product evolving in the next few years, and what features are you most excited to add? Databricks is on a path towards becoming increasingly simple and more powerful at the same time. There are a lot of efforts we are working on across the board, from making big-scale data and compute easy to work with to improving performance on queries and workflows. Personally, I think we have some exciting features coming soon throughout the product that make workflows way easier with AI. Examples include AI-generated comments on data, AI code suggestions in the notebook editors, and AI interfaces to chat with data (for example, Databricks AI/BI Genie). What’s your perspective on AI’s impact on jobs, and how do you address those concerns in your product strategy? There are concerns over whether AI would reduce the number of jobs. Our products are designed to increase valuable insights, which often come in conjunction with users. For example, with AI/BI Genie, users can create interfaces on their own data. This is a magical experience, where users can ask questions and get answers specific to them. In fact, users can even check the SQL being used to confirm it’s what they’re looking for. This is collaborative with analysts, reducing the time it takes them to go from idea to insight. What user feedback surprised you and led to changes in your roadmap, strategy or product experience? One major surprise for me was the complexity that some of the larger companies have. This introduces requirements into the product that I wouldn’t have considered on my own. A common example is thinking of migration strategies when introducing a new product. Typically, large companies will have either put together existing technologies (commonly open-source software) or have built custom software to solve the problem that our new product offering tackles. It usually takes a bit of time to understand why and how these are put together to ensure we have a solution that covers all possibilities. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Interested in reading the content from all of our writing prompts? Click HERE. At HackerNoon, we value stories about building groundbreaking tech. These questions aren’t just about AI mechanics—they’re about the innovation, challenges, and creativity of bringing cutting-edge tools to life, a perfect fit for our community of tech leaders, builders, and future-minded readers. At HackerNoon, we value stories about building groundbreaking tech. These questions aren’t just about AI mechanics—they’re about the innovation, challenges, and creativity of bringing cutting-edge tools to life, a perfect fit for our community of tech leaders, builders, and future-minded readers. Introduction My name is Aniruth . I work on the storage team at Databricks , where we work on enabling customers to save large amounts of data in an open, scalable format with our Data Intelligence Platform. Specifically, I work on our interoperability efforts with Delta Lake and Apache Iceberg. Aniruth Databricks HackerNoon: What’s the main problem your AI product is designed to solve, and what is effective about your approach to solving it? HackerNoon: Aniruth : Databricks unifies data and AI to give customers actionable intelligence—what we call data intelligence. This includes ingesting large amounts of data, ETL, large-scale storage, business intelligence queries, and AI workloads. The techniques used in machine learning in the past decade have been around since the 1980s; the rise of big data made it feasible to run algorithms at scale. Aniruth Aniruth Techniques like few shot prompting or RAG rely on high-quality data. Models that have better data win against those with better architectures. Databricks has put significant investment into leading efforts in the data space, pioneering the lakehouse architecture with open data formats and open governance, where customers are able to get the best insights with the best performance from data lakes. What criteria did you use to select the specific AI models for this product, and how does your company make decisions like this? We use AI models in a number of ways in the product - such as Llama 3 for the AI Assistant. We believe in an open data and AI ecosystem and encourage our customers to use any model of their choice. We help make sure customers have end-to-end governance across the AI lifecycle regardless of the models they use, so they can focus on making their models purpose-built for their use cases. How do you ensure your product delivers accurate and unbiased results to users? We have spent significant effort and investment in prioritizing accuracy and unbiased answers for AI usage within our products, and continue to conduct frequent testing. What is your day in the life like as a product manager? The data and AI space is rapidly evolving, so it’s very important to keep up to date. My day can include talking to customers, market analysis, putting together a product requirements document, or preparing marketing materials. My favorite part is getting to make diagrams illustrating how things will work, as it’s pretty fun to transform an idea into a visual. What’s the next big breakthrough in AI that everyone should be watching for? There’s a lot of big breakthroughs coming soon. One that I’m particularly interested in is the hyperpersonalization of content. For the past decade, ads have been fine-tuned to the specific watcher. Some elements of content have been tuned, such as what thumbnail Netflix shows a user, but the actual content (the video itself) has not been. It’ll be interesting to see how directors/producers balance telling the story they want to and the user’s interests. What’s been the biggest challenge you’ve faced in bringing this AI product to market, from concept to launch? I work on large-scale data storage, which can be very confusing to understand. We have various AI optimizations on data, but there’s often questions about when these optimizations are run, how they work, what they don’t cover, etc. With these kinds of questions, it is important to ensure we have clear, consistent messaging about what we are building and why. I’ve found that explaining the cause of limitations resonates very well with customers. How do you envision AI evolving to better understand and respond to human emotions, and what challenges or opportunities do you see in that area? Multimodal models are going to get significantly better in the coming years, which will change our primary mode of interaction with AI. Figuring out human emotion is significantly easier from visual or audio information compared to text. I think there's an opportunity to create more natural interactions in a wider array of scenarios. What performance metrics or KPIs do you track to gauge the success of this AI product? We typically want to see good feedback and usage. I talk to customers pretty often to get a sense of how and why they think about our products, which is key to explain why we see certain trends in metrics. How do you approach designing a product experience that’s not only functional but also engaging and memorable for users? Large-scale data products are notoriously challenging to use. Simple examples are easy to set up, but production workloads typically involve confusing configuration and code. It’s been a high priority for me to build out functionality that customers need, while making the product very simple to use. The future is where any business gets insights from their data easily. In the current world, data-driven business insights are typically restricted to the biggest companies - but even they would prefer a simpler experience. In the long-term, how do you think AI will help the individual reach one’s full potential? For the individual, I’m very excited about AI integrations into hardware. Up to now, we’ve largely seen AI in software applications like websites. There’s many larger applications of building devices that utilize AI, and we’re already starting to see some of those implications in cars and phones. Where do you see the product evolving in the next few years, and what features are you most excited to add? Databricks is on a path towards becoming increasingly simple and more powerful at the same time. There are a lot of efforts we are working on across the board, from making big-scale data and compute easy to work with to improving performance on queries and workflows. Personally, I think we have some exciting features coming soon throughout the product that make workflows way easier with AI. Examples include AI-generated comments on data, AI code suggestions in the notebook editors, and AI interfaces to chat with data (for example, Databricks AI/BI Genie). What’s your perspective on AI’s impact on jobs, and how do you address those concerns in your product strategy? There are concerns over whether AI would reduce the number of jobs. Our products are designed to increase valuable insights, which often come in conjunction with users. For example, with AI/BI Genie, users can create interfaces on their own data. This is a magical experience, where users can ask questions and get answers specific to them. In fact, users can even check the SQL being used to confirm it’s what they’re looking for. This is collaborative with analysts, reducing the time it takes them to go from idea to insight. What user feedback surprised you and led to changes in your roadmap, strategy or product experience? One major surprise for me was the complexity that some of the larger companies have. This introduces requirements into the product that I wouldn’t have considered on my own. A common example is thinking of migration strategies when introducing a new product. Typically, large companies will have either put together existing technologies (commonly open-source software) or have built custom software to solve the problem that our new product offering tackles. It usually takes a bit of time to understand why and how these are put together to ensure we have a solution that covers all possibilities. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Interested in reading the content from all of our writing prompts? Click HERE. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Interested in reading the content from all of our writing prompts? Click HERE. The link for the template is HERE. The link for the template is HERE. HERE. HERE.

"The Future is Where Any Business Gets Insights From Their Data Easily" says Aniruth from Databricks

Databricks-dən Aniruth deyir: "Gələcək hər hansı bir biznesin məlumatlarından asanlıqla məlumat əldə etdiyi yerdir"

"El futuro es donde cualquier empresa puede obtener información de sus datos fácilmente", afirma Aniruth de Databricks

“Masa Depan adalah Tempat Setiap Bisnis Mendapatkan Wawasan Dari Data Mereka Dengan Mudah” kata Aniruth dari Databricks

"Il futuro è dove qualsiasi azienda ottiene facilmente informazioni dai propri dati", afferma Aniruth di Databricks

「未来は、どんな企業でもデータから簡単に洞察を得られる時代です」とDatabricksのAniruth氏は語る

„Budúcnosť je tam, kde každá firma ľahko získa informácie zo svojich údajov,“ hovorí Aniruth z Databricks

"Mustaqbalku waa halka uu ganacsi kastaa si sahal ah uga helo xogta xogtooda" ayuu yidhi Aniruth oo ka socda Databricks

"Framtiden är där alla företag enkelt får insikter från sina data" säger Aniruth från Databricks

Анирут аз Databricks мегӯяд: "Оянда он ҷоест, ки ҳама гуна тиҷорат аз маълумоти худ ба осонӣ фаҳмиш мегирад"

"Kelajak - bu har qanday biznes o'z ma'lumotlaridan osongina ma'lumot oladigan joy", deydi Databricks'dan Aniruth

"Ikamva kulapho naliphi na ishishini lifumana ulwazi kwidatha yalo ngokulula" utshilo uAniruth ovela kwiDatabricks.

"Ikusasa Yilapho Noma Yiliphi Ibhizinisi Lithola Ukuqonda Emininingwaneni Yalo Kalula" kusho u-Aniruth ovela ku-Databricks

How Sports Is Taking over New Hollywood on Connected TV

For decades, fútbol’s ecosystem has upheld a status quo that leaves fans disconnected—without a voice, a stake, or a meaningful way to be part of the game they love. Despite fútbol’s global popularity, there has been no unified platform that truly empowers fans or brings them closer to the sport in transformative ways. Founded by visionary builders from Uruguay and Argentina, 0xFútbol is changing the game. By leveraging blockchain technology, they are creating a digital hub for the world’s 4 billion fútbol fans—a place where they can connect, compete, and even own a piece of fútbol’s future. 0xFútbol transforms watchers into owners, redefining what it means to be a fútbol fan in the modern era. From watchers to owners The fútbol community is vast, yet fragmented. 0xFútbol’s mission is to bring it together by delivering engaging experiences that resonate with every fan. From games to tools, every product is a step toward building a thriving, interconnected community. 0xFútbol recently acquired MetaSoccer, the first fútbol manager game, and has been actively working to improve and expand its features. Now in its private beta phase, MetaSoccer has already captivated over 40,000 fans with its innovative approach to managing teams and competing using blockchain-based assets. Alongside MetaSoccer, 0xFútbol is developing additional products like Fútbol PM, a prediction market where fans can showcase their knowledge, and Wonderkid, a hyper-casual Telegram game designed for quick, competitive fun. Every new fan strengthens the community. With each voice added, the collective power of fútbol fans grows, paving the way to shake up the status quo. Together, 0xFútbol isn’t just building products—it’s building a movement. “Imagine millions of fútbol fans united in one ecosystem. The energy, the culture, the shared passion—this is the future 0xFútbol is building. It’s a future where fans actively shape the game they love, not just watch from the sidelines.” Says Agu Rodríguez, CEO. $FUTBOL Presale with XDC Network In a significant milestone, the XDC Network has joined 0xFútbol as a strategic investor, recognizing the platform’s potential to transform fútbol through blockchain. This partnership represents a major step forward in 0xFútbol’s journey to create a unified and interactive fútbol ecosystem. As part of this collaboration, 0xFútbol will host an exclusive presale for the XDC community starting on December 16th. This presale offers early supporters a chance to acquire the $FUTBOL token, which powers the entire 0xFútbol ecosystem. The $FUTBOL token is more than just a digital asset—it’s the backbone of the platform. It enables users to access key products like MetaSoccer and Fútbol PM, participate in governance, and unlock future opportunities as the ecosystem grows. With $FUTBOL, fans are empowered to move from spectatorship to ownership, shaping the future of fútbol while engaging with innovative products and experiences. This collaboration with XDC highlights the growing recognition of 0xFútbol’s potential to revolutionize how fútbol fans interact with the sport. By combining blockchain innovation with fútbol culture, 0xFútbol is positioning itself as a leader in the Web3 fútbol space. Join us now! Twitter | Website | Presale This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. For decades, fútbol’s ecosystem has upheld a status quo that leaves fans disconnected—without a voice, a stake, or a meaningful way to be part of the game they love. Despite fútbol’s global popularity, there has been no unified platform that truly empowers fans or brings them closer to the sport in transformative ways. Founded by visionary builders from Uruguay and Argentina, 0xFútbol is changing the game. By leveraging blockchain technology, they are creating a digital hub for the world’s 4 billion fútbol fans—a place where they can connect, compete, and even own a piece of fútbol’s future. 0xFútbol transforms watchers into owners, redefining what it means to be a fútbol fan in the modern era. From watchers to owners From watchers to owners The fútbol community is vast, yet fragmented. 0xFútbol’s mission is to bring it together by delivering engaging experiences that resonate with every fan. From games to tools, every product is a step toward building a thriving, interconnected community. 0xFútbol recently acquired MetaSoccer, the first fútbol manager game, and has been actively working to improve and expand its features. Now in its private beta phase, MetaSoccer has already captivated over 40,000 fans with its innovative approach to managing teams and competing using blockchain-based assets. Alongside MetaSoccer, 0xFútbol is developing additional products like Fútbol PM, a prediction market where fans can showcase their knowledge, and Wonderkid, a hyper-casual Telegram game designed for quick, competitive fun. Every new fan strengthens the community. With each voice added, the collective power of fútbol fans grows, paving the way to shake up the status quo. Together, 0xFútbol isn’t just building products—it’s building a movement. “Imagine millions of fútbol fans united in one ecosystem. The energy, the culture, the shared passion—this is the future 0xFútbol is building. It’s a future where fans actively shape the game they love, not just watch from the sidelines.” Says Agu Rodríguez, CEO. “Imagine millions of fútbol fans united in one ecosystem. The energy, the culture, the shared passion—this is the future 0xFútbol is building. It’s a future where fans actively shape the game they love, not just watch from the sidelines.” Says Agu Rodríguez, CEO. $FUTBOL Presale with XDC Network $FUTBOL Presale with XDC Network In a significant milestone, the XDC Network has joined 0xFútbol as a strategic investor, recognizing the platform’s potential to transform fútbol through blockchain. This partnership represents a major step forward in 0xFútbol’s journey to create a unified and interactive fútbol ecosystem. As part of this collaboration, 0xFútbol will host an exclusive presale for the XDC community starting on December 16th. This presale offers early supporters a chance to acquire the $FUTBOL token, which powers the entire 0xFútbol ecosystem. The $FUTBOL token is more than just a digital asset—it’s the backbone of the platform. It enables users to access key products like MetaSoccer and Fútbol PM, participate in governance, and unlock future opportunities as the ecosystem grows. With $FUTBOL, fans are empowered to move from spectatorship to ownership, shaping the future of fútbol while engaging with innovative products and experiences. This collaboration with XDC highlights the growing recognition of 0xFútbol’s potential to revolutionize how fútbol fans interact with the sport. By combining blockchain innovation with fútbol culture, 0xFútbol is positioning itself as a leader in the Web3 fútbol space. Join us now! Twitter | Website | Presale Twitter Twitter Website Website Presale Presale This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. Business Blogging Business Blogging

0xFútbol Announces Exclusive $FUTBOL Presale to Celebrate XDC’s Strategic Investment

أعلنت 0xFútbol عن طرح عرض حصري مسبق بقيمة $FUTBOL للاحتفال بالاستثمار الاستراتيجي لشركة XDC

0xFútbol ukax Exclusivo $FUTBOL Preventa ukar uñt’ayi, XDC ukan Inversión Estratégica ukar jach’añchañataki

0xFútbol, XDC-nin Strateji İnvestisiyasını qeyd etmək üçün Eksklüziv $FUTBOL Satışını Elan edir

0xFútbol обявява ексклузивна $FUTBOL предварителна продажба, за да отпразнува стратегическата инвестиция на XDC

0xFútbol anuncia preventa exclusiva de $FUTBOL para celebrar la inversión estratégica de XDC

0xFútbol annuncia la prevendita esclusiva di $FUTBOL per celebrare l'investimento strategico di XDC

0xFútbol、XDCの戦略的投資を記念して$FUTBOLの独占先行販売を発表

0xFútbol нь XDC-ийн стратегийн хөрөнгө оруулалтыг тохиолдуулан $FUTBOL-ийн онцгой хямдрал зарлалаа.

0xFútbol Mengumumkan Presale $FUTBOL Eksklusif untuk Meraikan Pelaburan Strategik XDC

0xFútbol XDC හි උපායමාර්ගික ආයෝජන සැමරීම සඳහා සුවිශේෂී $FUTBOL Presale නිවේදනය කරයි

0xFútbol shpall para-shitjen ekskluzive të $FUTBOL për të festuar investimin strategjik të XDC

I-0xFútbol Ibhengeza OkuKhethekileyo $FUTBOL Presale ukuBhiyozela uTyalo-mali oluBuchule lwe-XDC

**SINGAPORE, Singapore, December 17th, 2024/Chainwire/--**In an era where artificial intelligence is reshaping industries, Xterio is taking a bold step forward by partnering with Reka, a leading AI startup, to develop emotionally intelligent AI agents that promise to transform gaming, Web3, and beyond. These agents, powered by a proprietary emotion engine, are designed to interact, adapt, and evolve like human companions—offering more than just utility. While AI has long played a role in gaming, from NPC behavior to immersive storytelling, Xterio and Reka are pushing the boundaries of what’s possible. Their joint effort aims to create AI companions that can read and respond to emotions, delivering nuanced interactions that feel personal, empathetic, and profoundly human. “We’re building AI agents that are not just functional but fundamentally transformative in how they connect with users,” said Michael Tong, CEO at Xterio. “Our partnership with Reka allows us to integrate cutting-edge emotional intelligence into our products, creating experiences that evolve alongside users in meaningful ways.” Revolutionizing Interaction with AI At the heart of this collaboration is an advanced emotion engine developed by Reka, a company founded by researchers from DeepMind, Google Brain, and FAIR. The engine enables Xterio’s AI agents to interpret and respond to human emotions authentically, making them ideal for gaming, personal productivity, and emotional support. Xterio envisions a future where its AI agents extend to support a wide array of user actions, including on-chain trading, investing, and portfolio management. These agents will not only serve as emotionally intelligent companions but also act as practical allies, seamlessly managing tasks and providing valuable insights tailored to the owner's needs. Xterio first introduced its conversational AI technology during the "Meet Your Anima" event in April 2024. This Web3-based experience allowed users to engage in emotional dialogues with a digital pet-like AI, sparking widespread acclaim and over 1 billion input tokens processed. The success validated Xterio’s vision of blending emotional depth with advanced AI capabilities. Building on that momentum, Xterio is set to launch “Befriend”, a gamified event where users interact with AI agents in scenarios that playfully explore AI connections. Participants will not only experience the latest advancements in conversational AI but also compete for rewards in a uniquely engaging experiment. A New Standard for AI Companionship What sets Xterio’s AI agents apart is their adaptability and trustworthiness. Operating on blockchain technology, these agents have on-chain ownership provenance and provide transparency in every interaction. Beyond gaming, Xterio envisions applications in education, mental health, and productivity, where AI agents can become true partners in daily life. “Imagine an AI companion that evolves with you—offering emotional support, meaningful conversations, and tailored experiences,” said Dani Yogamata, co-founder and CEO of Reka. “This partnership with Xterio brings cutting-edge AI technologies to life in ways that are both entertaining and profoundly human.” Positioning for the Future of AI and Web3 Xterio’s partnership with Reka also underscores its broader ambitions in the Web3 ecosystem. By integrating blockchain technology with advanced AI, the company is creating a secure and decentralized framework for training and deploying its emotional engines. Users contribute to AI development through interactions, with full confidence that their data remains private and under their control. Upcoming projects like “Palio”, Xterio’s first AI-native game slated for Q1 2025, promise to blend conversational AI with trading mechanics, showcasing the versatility of this technology. The Industry Impact The Xterio-Reka collaboration highlights a broader trend: the race to create AI that doesn’t just act smart but feels human. Emotional AI is poised to become a critical component of user engagement across gaming, Web3, and enterprise applications. For Xterio, it’s a way to stand out in a competitive landscape by delivering experiences that resonate deeply with users. “As AI continues to evolve, the line between technology and human connection is blurring,” said Michael Tong. “At Xterio, we’re not just building products—we’re shaping the future of interaction.” About Xterio Xterio Foundation, based in Switzerland, was established by a Council and a team of seasoned technology and entertainment leaders with extensive free-to-play gaming expertise. Its mission is to develop, publish, and distribute premium interactive experiences at the intersection of blockchain and AI. Users can learn more at www.xter.io and follow us at https://x.com/XterioGames. Contact Xterio Press contact@xter.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here **SINGAPORE, Singapore, December 17th, 2024/Chainwire/--**In an era where artificial intelligence is reshaping industries, Xterio is taking a bold step forward by partnering with Reka, a leading AI startup, to develop emotionally intelligent AI agents that promise to transform gaming, Web3, and beyond. These agents, powered by a proprietary emotion engine, are designed to interact, adapt, and evolve like human companions—offering more than just utility. While AI has long played a role in gaming, from NPC behavior to immersive storytelling, Xterio and Reka are pushing the boundaries of what’s possible. Their joint effort aims to create AI companions that can read and respond to emotions, delivering nuanced interactions that feel personal, empathetic, and profoundly human. “We’re building AI agents that are not just functional but fundamentally transformative in how they connect with users,” said Michael Tong, CEO at Xterio. “Our partnership with Reka allows us to integrate cutting-edge emotional intelligence into our products, creating experiences that evolve alongside users in meaningful ways.” “We’re building AI agents that are not just functional but fundamentally transformative in how they connect with users,” said Michael Tong, CEO at Xterio. “Our partnership with Reka allows us to integrate cutting-edge emotional intelligence into our products, creating experiences that evolve alongside users in meaningful ways.” Revolutionizing Interaction with AI At the heart of this collaboration is an advanced emotion engine developed by Reka, a company founded by researchers from DeepMind, Google Brain, and FAIR. The engine enables Xterio’s AI agents to interpret and respond to human emotions authentically, making them ideal for gaming, personal productivity, and emotional support. Xterio envisions a future where its AI agents extend to support a wide array of user actions, including on-chain trading, investing, and portfolio management. These agents will not only serve as emotionally intelligent companions but also act as practical allies, seamlessly managing tasks and providing valuable insights tailored to the owner's needs. Xterio first introduced its conversational AI technology during the "Meet Your Anima" event in April 2024. This Web3-based experience allowed users to engage in emotional dialogues with a digital pet-like AI, sparking widespread acclaim and over 1 billion input tokens processed. The success validated Xterio’s vision of blending emotional depth with advanced AI capabilities. Building on that momentum, Xterio is set to launch “Befriend”, a gamified event where users interact with AI agents in scenarios that playfully explore AI connections. Participants will not only experience the latest advancements in conversational AI but also compete for rewards in a uniquely engaging experiment. A New Standard for AI Companionship What sets Xterio’s AI agents apart is their adaptability and trustworthiness. Operating on blockchain technology, these agents have on-chain ownership provenance and provide transparency in every interaction. Beyond gaming, Xterio envisions applications in education, mental health, and productivity, where AI agents can become true partners in daily life. “Imagine an AI companion that evolves with you—offering emotional support, meaningful conversations, and tailored experiences,” said Dani Yogamata, co-founder and CEO of Reka. “This partnership with Xterio brings cutting-edge AI technologies to life in ways that are both entertaining and profoundly human.” “Imagine an AI companion that evolves with you—offering emotional support, meaningful conversations, and tailored experiences,” said Dani Yogamata, co-founder and CEO of Reka. “This partnership with Xterio brings cutting-edge AI technologies to life in ways that are both entertaining and profoundly human.” Positioning for the Future of AI and Web3 Xterio’s partnership with Reka also underscores its broader ambitions in the Web3 ecosystem. By integrating blockchain technology with advanced AI, the company is creating a secure and decentralized framework for training and deploying its emotional engines. Users contribute to AI development through interactions, with full confidence that their data remains private and under their control. Upcoming projects like “Palio”, Xterio’s first AI-native game slated for Q1 2025, promise to blend conversational AI with trading mechanics, showcasing the versatility of this technology. The Industry Impact The Xterio-Reka collaboration highlights a broader trend: the race to create AI that doesn’t just act smart but feels human. Emotional AI is poised to become a critical component of user engagement across gaming, Web3, and enterprise applications. For Xterio, it’s a way to stand out in a competitive landscape by delivering experiences that resonate deeply with users. “As AI continues to evolve, the line between technology and human connection is blurring,” said Michael Tong. “At Xterio, we’re not just building products—we’re shaping the future of interaction.” “As AI continues to evolve, the line between technology and human connection is blurring,” said Michael Tong. “At Xterio, we’re not just building products—we’re shaping the future of interaction.” About Xterio Xterio Foundation , based in Switzerland, was established by a Council and a team of seasoned technology and entertainment leaders with extensive free-to-play gaming expertise. Its mission is to develop, publish, and distribute premium interactive experiences at the intersection of blockchain and AI. Users can learn more at www.xter.io and follow us at https://x.com/XterioGames . Xterio Foundation Xterio Foundation www.xter.io www.xter.io https://x.com/XterioGames https://x.com/XterioGames Contact Xterio Press contact@xter.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Xterio Partners With Reka To Build Emotionally Intelligent AI Agents For Gaming And Beyond

Xterio s'associa amb Reka per crear agents d'IA emocionalment intel·ligents per a jocs i més enllà

Xterio se asocia con Reka para crear agentes de inteligencia artificial emocionalmente inteligentes para juegos y más

Xterio tekee yhteistyötä Rekan kanssa emotionaalisesti älykkäiden tekoälyagenttien rakentamiseksi pelaamiseen ja muuhun

Xterio משתפת פעולה עם Reka כדי לבנות סוכני AI אינטליגנטיים רגשית למשחקים ומעבר לכך

Xterio が Reka と提携し、ゲームやその他の用途向けの感情知能 AI エージェントを構築

„Xterio“ bendradarbiauja su „Reka“, kad sukurtų emociškai protingus AI agentus žaidimams ir ne tik

Xterio sadarbojas ar Reku, lai izveidotu emocionāli inteliģentus AI aģentus spēlēm un ne tikai

Xterio Bekerjasama Dengan Reka Untuk Membina Ejen AI Pintar Emosi Untuk Permainan Dan Lain-lain

Xterio गेमिङ र बाहिरका लागि भावनात्मक रूपमा बुद्धिमान AI एजेन्टहरू निर्माण गर्न रेकासँग साझेदारहरू

Xterio E Dirišana Le Reka Go Aga Baemedi ba AI Ba Bohlale Ba Maikutlo Bakeng Sa Dipapadi Le Go Feta

Xterio colaborează cu Reka pentru a construi agenți inteligenți emoțional pentru jocuri și nu numai

Xterio Reka bilan oʻyin va undan tashqarida hissiy jihatdan aqlli sunʼiy intellekt agentlarini yaratish uchun hamkorlik qiladi.

The recent resignation of Tonga's Prime Minister Siaosi Sovaleni marks a critical juncture in the political landscape of the Pacific Islands, shedding light on the complexities that challenge effective governance in the region. Despite his impressive academic credentials and previous governmental experience, Sovaleni’s leadership ultimately faltered under the weight of internal conflicts, particularly his strained relationship with his fellow people's representatives, moreover the Monarchy and the Nobles. This situation underscores the delicate balance between modern democratic aspirations and entrenched traditional power structures. Sovaleni’s downfall is emblematic of a deeper issue within his leadership approach. His focus on regional initiatives, such as the Pacific Islands Forum, often overshadowed the pressing domestic challenges facing Tonga. The country grapples with significant economic pressures, including a substantial debt to China that constitutes nearly a third of its GDP. While pursuing regional cooperation is essential, it cannot replace the urgency of addressing critical national issues. Sovaleni’s failure to unify his people and prioritize local concerns over regionalism reflects a significant shortcoming in his governance. Moreover, the fragmented monetary systems across the Pacific Islands highlight the economic disarray plaguing the region. The proliferation of small, largely unsupported national currencies emphasizes the need for innovative economic strategies. The suggestion to adopt Bitcoin as a reserve currency, while unconventional, serves as a provocative reminder of the potential for fresh, forward-thinking approaches to revitalizing Tonga's financial landscape. The challenges highlighted by Sovaleni's resignation are indicative of broader governance dilemmas faced by Pacific Island nations. Effective leadership must not only respect traditional power dynamics but also drive economic innovation and address immediate domestic needs. The future of these nations hinges on leaders who can balance these competing demands and create robust, diversified economic strategies. In light of these challenges, my proposed whitepaper offers a transformative solution through a decentralized micro-governance model. This approach empowers citizens to engage directly in governance, fostering a cohesive national identity that transcends regional divides. By embracing participatory democracy, Tonga can address the shortcomings of past leadership and work towards a more united and resilient future. As the Pacific Islands navigate complex geopolitical landscapes, the need for pragmatic, locally-focused leadership has never been more pressing. The narrative of Siaosi Sovaleni is not merely a Tongan story; it resonates with the broader challenges faced by small island nations striving for stability and prosperity in an increasingly intricate global environment. My proposed whitepaper provides a potential pathway to navigate these turbulent waters and foster a more effective governance model, ensuring that the voices of the Tongan people are not only heard but actively shape their nation's future. A true menifestation of a “government of the people, by the people, for the people”. The recent resignation of Tonga's Prime Minister Siaosi Sovaleni marks a critical juncture in the political landscape of the Pacific Islands, shedding light on the complexities that challenge effective governance in the region. Despite his impressive academic credentials and previous governmental experience, Sovaleni’s leadership ultimately faltered under the weight of internal conflicts, particularly his strained relationship with his fellow people's representatives, moreover the Monarchy and the Nobles. This situation underscores the delicate balance between modern democratic aspirations and entrenched traditional power structures. Sovaleni’s downfall is emblematic of a deeper issue within his leadership approach. His focus on regional initiatives, such as the Pacific Islands Forum, often overshadowed the pressing domestic challenges facing Tonga. The country grapples with significant economic pressures, including a substantial debt to China that constitutes nearly a third of its GDP. While pursuing regional cooperation is essential, it cannot replace the urgency of addressing critical national issues. Sovaleni’s failure to unify his people and prioritize local concerns over regionalism reflects a significant shortcoming in his governance. Moreover, the fragmented monetary systems across the Pacific Islands highlight the economic disarray plaguing the region. The proliferation of small, largely unsupported national currencies emphasizes the need for innovative economic strategies. The suggestion to adopt Bitcoin as a reserve currency, while unconventional, serves as a provocative reminder of the potential for fresh, forward-thinking approaches to revitalizing Tonga's financial landscape. The challenges highlighted by Sovaleni's resignation are indicative of broader governance dilemmas faced by Pacific Island nations. Effective leadership must not only respect traditional power dynamics but also drive economic innovation and address immediate domestic needs. The future of these nations hinges on leaders who can balance these competing demands and create robust, diversified economic strategies. In light of these challenges, my proposed whitepaper offers a transformative solution through a decentralized micro-governance model. This approach empowers citizens to engage directly in governance, fostering a cohesive national identity that transcends regional divides. By embracing participatory democracy, Tonga can address the shortcomings of past leadership and work towards a more united and resilient future. whitepaper As the Pacific Islands navigate complex geopolitical landscapes, the need for pragmatic, locally-focused leadership has never been more pressing. The narrative of Siaosi Sovaleni is not merely a Tongan story; it resonates with the broader challenges faced by small island nations striving for stability and prosperity in an increasingly intricate global environment. My proposed whitepaper provides a potential pathway to navigate these turbulent waters and foster a more effective governance model, ensuring that the voices of the Tongan people are not only heard but actively shape their nation's future. A true menifestation of a “government of the people, by the people, for the people”.

New Whitepaper Offers Bitcoin-backed Solution to Tonga's Political Turbulence

Welcome to HackerNoon Startups of the Week! Each week, the HackerNoon team showcases a list of startups from our Startups of The Year database. All these startups have been nominated as one of the best in their respective category or region. This week, we’re pleased to bring you MDV Retail Solutions, Avant.Dev, and UzairaAdvisory! Want to be nominated for HackerNoon’s Startups of The Year? Learn how here. Meet the Startups of the Week MDV Retail Solutions When global consumer electronic brands need help, there is only one place they can turn to: MDV Retail Solutions. They offer commercial representation services in Latin America, such as helping with marketing and sales operations and bringing up ROI. They also have a strict core value guide that they follow, which includes integrity and honesty. MDV Retail Solutions was nominated for Startup of the Year in Hollywood, FL, and is also running in the Consumer Goods category. Support MDV Retail Solutions - Vote here! Avant.Dev Art and technology go together like peanut butter and chocolate, but a lot of people can’t seem to see that. But there is one startup trying to change people’s minds: Avant.Dev. This startup has given a platform to up-and-coming artists focusing on art + technology for almost 5 years now. Just recently, they hosted an event titled “Metamundi: Visions, Prisms & Paradigms of the Interior” that focused on the metaverse. Avant.Dev was not only nominated for Startup of the Year in Mexico City, Mexico, but was also nominated in the following categories: Writing and Editing, Blogging, and Creative Agency. Support Avant.Dev - Vote here! UzairaAdvisory Everyone needs help, even businesses. That’s where business advisory firms such as UzairaAdvisory come into play. They help with strategy and implementation, services and solutions, and any general problems businesses might face. They’ve been doing this since 2021 and have helped businesses achieve their short-term and long-term goals. It is currently nominated for Startup of the Year in India and is also nominated in the Messaging and Communications, IT Services, and Blogging categories. Support Uzaira Advisory - Vote here! Featured Interview of the Week If you have a startup nominated in any category, you can publish an interview for free where you can talk about your business, what it does, and why people should know about it and vote for it. But first, you have to create a business page on HackerNoon. With this, you can create and edit your own Evergreen Tech Company News Page, plus be included in our Tech Companies ranking. Once you’re done creating your business page, you can choose an interview template to fill out where you can boast about your startup. The interview we’ll showcase today is the Business interview template. Using this template, describe your startup and what sets it apart from others in the business/finance sector. Not only that, tell the readers about your proudest achievements, the lessons you and your team have learned along the way, and your startup’s future plans. https://hackernoon.com/meet-uzairaadvisory-startups-of-the-year-2024-nominee?embedable=true UzairaAdvisory filled out an interview template, and we’re glad they did because we got to learn so much about this unique startup. Here’s a quote from that interview: When we received the unexpected email notifying us of our nomination as Startup of the Year 2024 in three categories—among 150,000 startups across over 4,200 cities and six continents—we were thrilled and honored. We decided to participate in HackerNoon’s Startups of The Year event because it presents a unique opportunity that resonates with our core values. Striving to win is in our DNA, and this competition allows us to challenge ourselves on a global stage. Want to be featured on HackerNoon’s Startups of the Week? Share your startup’s story - use this interview template. Featured Startups Special Package HackerNoon’s Startups of the Year is the perfect marketing opportunity you have been looking for. Whether your goal is to increase your brand awareness or lead generation, HackerNoon has you covered with our startup-friendly packages. Let’s check out the lead generation package and what it has to offer. With this package, you’ll receive: 4 Total Newsletters Sent: 325,000 per send (85% of subscribers reside in the US)

Open Rate: 13% - 15%
Click-to-Open Rate: 13.61%
Sample: Here


Your Evergreen Tech Company News Page That’s it for this week. But make sure to tune in next week to learn about 3 equally amazing startups! Until then, The HackerNoon Team About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. Visit our FAQ page to learn more. Download our design assets here. Check out the Startups of the Year Merch Shop here. HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. Meet Our Sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams, and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Welcome to HackerNoon Startups of the Week! Each week, the HackerNoon team showcases a list of startups from our Startups of The Year database . All these startups have been nominated as one of the best in their respective category or region. Startups of The Year database This week, we’re pleased to bring you MDV Retail Solutions , Avant.Dev , and UzairaAdvisory ! MDV Retail Solutions Avant.Dev UzairaAdvisory Want to be nominated for HackerNoon’s Startups of The Year? Learn how here. Want to be nominated for HackerNoon’s Startups of The Year? Learn how here. Want to be nominated for HackerNoon’s Startups of The Year? Learn how here . here here Meet the Startups of the Week MDV Retail Solutions MDV Retail Solutions When global consumer electronic brands need help, there is only one place they can turn to: MDV Retail Solutions. They offer commercial representation services in Latin America, such as helping with marketing and sales operations and bringing up ROI. They also have a strict core value guide that they follow, which includes integrity and honesty. MDV Retail Solutions was nominated for Startup of the Year in Hollywood, FL , and is also running in the Consumer Goods category . Hollywood, FL Consumer Goods category Support MDV Retail Solutions - Vote here! Support MDV Retail Solutions - Vote here ! here Avant.Dev Avant.Dev Art and technology go together like peanut butter and chocolate, but a lot of people can’t seem to see that. But there is one startup trying to change people’s minds: Avant.Dev. This startup has given a platform to up-and-coming artists focusing on art + technology for almost 5 years now. Just recently, they hosted an event titled “Metamundi: Visions, Prisms & Paradigms of the Interior” that focused on the metaverse. Avant.Dev was not only nominated for Startup of the Year in Mexico City, Mexico , but was also nominated in the following categories: Writing and Editing , Blogging , and Creative Agency . Mexico City, Mexico Writing and Editing Blogging Creative Agency Support Avant.Dev - Vote here! Support Avant.Dev - Vote here ! here UzairaAdvisory UzairaAdvisory Everyone needs help, even businesses. That’s where business advisory firms such as UzairaAdvisory come into play. They help with strategy and implementation, services and solutions, and any general problems businesses might face. They’ve been doing this since 2021 and have helped businesses achieve their short-term and long-term goals. It is currently nominated for Startup of the Year in India and is also nominated in the Messaging and Communications , IT Services , and Blogging categories. India Messaging and Communications IT Services Blogging Support Uzaira Advisory - Vote here! Support Uzaira Advisory - Vote here ! here Featured Interview of the Week If you have a startup nominated in any category, you can publish an interview for free where you can talk about your business, what it does, and why people should know about it and vote for it. But first, you have to create a business page on HackerNoon . With this, you can create and edit your own Evergreen Tech Company News Page , plus be included in our Tech Companies ranking . business page on HackerNoon Evergreen Tech Company News Page Tech Companies ranking Once you’re done creating your business page, you can choose an interview template to fill out where you can boast about your startup. The interview we’ll showcase today is the Business interview template . Using this template, describe your startup and what sets it apart from others in the business/finance sector. Not only that, tell the readers about your proudest achievements, the lessons you and your team have learned along the way, and your startup’s future plans. Business interview template https://hackernoon.com/meet-uzairaadvisory-startups-of-the-year-2024-nominee?embedable=true https://hackernoon.com/meet-uzairaadvisory-startups-of-the-year-2024-nominee?embedable=true UzairaAdvisory filled out an interview template , and we’re glad they did because we got to learn so much about this unique startup. Here’s a quote from that interview: interview template When we received the unexpected email notifying us of our nomination as Startup of the Year 2024 in three categories—among 150,000 startups across over 4,200 cities and six continents—we were thrilled and honored. We decided to participate in HackerNoon’s Startups of The Year event because it presents a unique opportunity that resonates with our core values. Striving to win is in our DNA, and this competition allows us to challenge ourselves on a global stage. When we received the unexpected email notifying us of our nomination as Startup of the Year 2024 in three categories—among 150,000 startups across over 4,200 cities and six continents—we were thrilled and honored. We decided to participate in HackerNoon’s Startups of The Year event because it presents a unique opportunity that resonates with our core values. Striving to win is in our DNA, and this competition allows us to challenge ourselves on a global stage. Want to be featured on HackerNoon’s Startups of the Week? Share your startup’s story - use this interview template. Want to be featured on HackerNoon’s Startups of the Week? Share your startup’s story - use this interview template . interview template Featured Startups Special Package HackerNoon’s Startups of the Year is the perfect marketing opportunity you have been looking for. Whether your goal is to increase your brand awareness or lead generation, HackerNoon has you covered with our startup-friendly packages . Let’s check out the lead generation package and what it has to offer. startup-friendly packages lead generation package With this package, you’ll receive: With this package, you’ll receive: 4 Total Newsletters Sent: 325,000 per send (85% of subscribers reside in the US)

Open Rate: 13% - 15%
Click-to-Open Rate: 13.61%
Sample: Here Your Evergreen Tech Company News Page 4 Total Newsletters Sent: 325,000 per send (85% of subscribers reside in the US) Open Rate: 13% - 15%
Click-to-Open Rate: 13.61%
Sample: Here Open Rate: 13% - 15% Click-to-Open Rate: 13.61% Sample: Here Open Rate: 13% - 15% Click-to-Open Rate: 13.61% Sample: Here Here Your Evergreen Tech Company News Page Evergreen Tech Company News Page That’s it for this week. But make sure to tune in next week to learn about 3 equally amazing startups! Until then, The HackerNoon Team About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Startups of The Year 2024 Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. many stories Visit our FAQ page to learn more. FAQ Download our design assets here . here Check out the Startups of the Year Merch Shop here . here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. startup-friendly packages Meet Our Sponsors: Meet Our Sponsors: Wellfound: Join the #1 global, startup-focused community . At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams, and customers in one easy-to-use scalable platform that grows with your business. Get started for free . Hubspot: Get started for free Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months , to build and scale your company with one powerful tool. Get your offer now ! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection , businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Algolia : Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia AI end-to-end Search and Discovery Platform

Meet MDV Retail Solutions, Avant.Dev & UzairaAdvisory: HackerNoon Startups of the Week

Conozca MDV Retail Solutions, Avant.Dev y UzairaAdvisory: Startups de la semana de HackerNoon

با راه حل های خرده فروشی MDV، Avant.Dev و UzairaAdvisory: استارتاپ های هفته HackerNoon آشنا شوید

Ismerje meg az MDV Retail Solutions-t, az Avant.Dev-t és az Uzaira Tanácsadót: A hét HackerNoon induló vállalkozásai

Temui MDV Retail Solutions, Avant.Dev & UzairaAdvisory: Startup HackerNoon Minggu Ini

MDV Retail Solutions、Avant.Dev、UzairaAdvisory のご紹介: HackerNoon の今週のスタートアップ

გაიცანით MDV Retail Solutions, Avant.Dev & Uzaira საკონსულტაციო: კვირის HackerNoon სტარტაპები

Temui Penyelesaian Runcit MDV, Avant.Dev & UzairaAdvisory: HackerNoon Startups of the Week

MDV रिटेल समाधानहरू, Avant.Dev र UzairaAdvisory: ह्याकरनून स्टार्टअप अफ द वीकलाई भेट्नुहोस्

د MDV پرچون حلونو سره لیدنه وکړئ، Avant.Dev او UzairaAdvisory: HackerNoon د اونۍ پیل

Sangana neMDV Retail Solutions, Avant.Dev & UzairaAdvisory: HackerNoon Kutanga kweSvondo

Njihuni me zgjidhjet me pakicë të MDV, Avant.Dev & UzairaKëshillim: Fillesat e javës HackerNoon

MDV Retail Solutions, Avant.Dev va UzairaAdvisory bilan tanishing: Haftaning HackerNoon startaplari

LPS ANGELES, USA, December 11th, 2024/CyberNewsWire/--Resecurity, a global leader in cybersecurity solutions, unveiled its advanced Government Security Operations Center (GSOC) during NATO Edge 2024, the NATO Communications and Information Agency’s flagship conference. The solution is also specifically tailored for MSSPs that protect aerospace and defense organizations. This year’s event, held from December 3 to 5, emphasized emerging technologies in defense, fostering collaboration between governments, academia, and private enterprises. Resecurity’s GSOC harnesses cutting-edge artificial intelligence (AI) through Context AI and innovative virtual reality (VR) capabilities, revolutionizing the future of cybersecurity operations. Resecurity’s GSOC solution resonated strongly with the event’s goals, demonstrating how advanced AI and VR capabilities could bolster NATO’s cybersecurity infrastructure and address its operational challenges. GSOC: A modern approach to cybersecurity The Government Security Operations Center (GSOC) is a centralized hub for cybersecurity monitoring, threat detection, and response coordination. Resecurity’s GSOC leverages AI and VR to address the increasing complexity of cybersecurity operations by enabling real-time insights, collaboration, and action. SOC solution powered by AI At the core of Resecurity’s GSOC is Context AI, an advanced AI-powered engine designed to revolutionize how security events are analyzed and managed. Context AI integrates machine learning, predictive analytics, and data visualization to deliver unparalleled capabilities in cybersecurity operations: Real-time threat analysis: By processing and correlating data from numerous sources, including threat intelligence feeds, network logs, and endpoint devices, Resecurity identifies suspicious activities and potential vulnerabilities with speed and precision. Enhanced decision-making: Context AI by Resecurity employs natural language processing (NLP) and machine learning to generate actionable insights, enabling operators to make faster, more informed decisions. Scalability and automation: The SOC platform automates repetitive tasks such as alert triaging, allowing cybersecurity professionals to focus on complex, high-priority incidents. By integrating Context AI into GSOC, Resecurity addresses the critical challenges faced by traditional SOCs, such as overwhelming alert volumes and false positives, ensuring efficient operations even under significant stress. VR and the Cybersecurity Metaverse A standout feature of the GSOC is its integration of virtual reality (VR), enabling operators to leverage the cybersecurity metaverse for enhanced situational awareness, threat management, and collaboration. The use of VR offers a unique and immersive way to interact with cybersecurity data and operational environments: Immersive threat visualization: Operators can explore attack surfaces, breach points, and threat vectors in a dynamic, 3D virtual space. This visualization provides a holistic view of cybersecurity events that are often impossible to achieve with traditional tools.
Collaborative incident response: In the VR environment, multiple operators, regardless of geographic location, can collaborate in real-time to simulate, analyze, and respond to cyber incidents. These fosters improved communication and coordination, critical for national and allied security operations.
Advanced training simulations: VR environments allow GSOC personnel to train in realistic scenarios, such as handling ransomware attacks or defending against state-sponsored cyber intrusions. These simulations provide operators with hands-on experience in a controlled yet realistic setting, improving their readiness for real-world incidents. By integrating VR, GSOC goes beyond conventional dashboards and interfaces, creating a more intuitive and interactive approach to managing cybersecurity threats. The role of GSOC in national security Resecurity’s GSOC is designed to serve as a comprehensive cybersecurity framework for governments and allied organizations. It enables a centralized approach to security operations, ensuring real-time monitoring and response capabilities across agencies and infrastructure. Key benefits of the GSOC include: Unified security monitoring: By consolidating security operations, GSOC provides a holistic view of all potential threats across critical systems, such as energy grids, transportation networks, and communication platforms.
Threat intelligence aggregation: The GSOC collects and processes threat intelligence from various public and private sources, enabling governments to stay ahead of emerging threats.
Cross-agency collaboration: Governments can use GSOC to coordinate cybersecurity efforts between multiple agencies, ensuring cohesive and timely responses to incidents. NATO Edge 2024 emphasized the importance of leveraging advanced technologies, such as AI and VR, to bolster member states’ defense capabilities. The future of GSOC: Driving Cybersecurity Innovation Resecurity’s GSOC is not just a technological solution; it represents a paradigm shift in how governments and organizations approach cybersecurity. The integration of AI and VR is just the beginning of what GSOCs can achieve in the future. Evolving AI applications: Advances in AI, such as predictive analytics and autonomous systems, will enable GSOCs to anticipate and neutralize threats before they materialize.
Expanding VR capabilities: The use of VR in GSOCs will extend beyond training and visualization, incorporating augmented reality (AR) tools for field operatives and remote teams.
International collaboration: GSOCs will play a key role in fostering global partnerships, allowing nations to pool resources, share intelligence, and build collective defense strategies. About Resecurity __Resecurity__® is a cybersecurity company that delivers a unified endpoint protection, fraud prevention, risk management, and cyber threat intelligence platform. Known for providing best-of-breed data-driven intelligence solutions, Resecurity's services and platforms focus on early-warning identification of data breaches and comprehensive protection against cybersecurity risks. Founded in 2016, it has been globally recognized as one of the world's most innovative cybersecurity companies with the sole mission of enabling organizations to combat cyber threats regardless of how sophisticated they are. Most recently, Resecurity was named one of the Top 10 fastest-growing private cybersecurity companies in Los Angeles, California, by Inc. Magazine. An Official Partner of the Cybercrime Atlas by the World Economic Forum (WEF), a Member of InfraGard National Members Alliance (INMA), AFCEA, NDIA, SIA, FS-ISAC, Cloud Security Alliance (CSA), and the American Chamber of Commerce in Saudi Arabia (AmChamKSA), Singapore (AmChamSG), Korea (AmChamKorea), Mexico (AmChamMX), Thailand (AmChamThailand), and UAE (AmChamDubai). To learn more about Resecurity, users can visit https://resecurity.com. Contact Mills Peter Resecurity, Inc. contact@resecurity.com This story was distributed as a release by Cybernewswire under HackerNoon’s Business Blogging Program. Learn more about the program here LPS ANGELES, USA, December 11th, 2024/CyberNewsWire/--Resecurity, a global leader in cybersecurity solutions, unveiled its advanced Government Security Operations Center (GSOC) during NATO Edge 2024, the NATO Communications and Information Agency’s flagship conference. The solution is also specifically tailored for MSSPs that protect aerospace and defense organizations. This year’s event, held from December 3 to 5, emphasized emerging technologies in defense, fostering collaboration between governments, academia, and private enterprises. Resecurity’s GSOC harnesses cutting-edge artificial intelligence (AI) through Context AI and innovative virtual reality (VR) capabilities, revolutionizing the future of cybersecurity operations. Resecurity’s GSOC solution resonated strongly with the event’s goals, demonstrating how advanced AI and VR capabilities could bolster NATO’s cybersecurity infrastructure and address its operational challenges. GSOC: A modern approach to cybersecurity The Government Security Operations Center (GSOC) is a centralized hub for cybersecurity monitoring, threat detection, and response coordination. Resecurity’s GSOC leverages AI and VR to address the increasing complexity of cybersecurity operations by enabling real-time insights, collaboration, and action. SOC solution powered by AI At the core of Resecurity’s GSOC is Context AI, an advanced AI-powered engine designed to revolutionize how security events are analyzed and managed. Context AI integrates machine learning, predictive analytics, and data visualization to deliver unparalleled capabilities in cybersecurity operations: Real-time threat analysis: By processing and correlating data from numerous sources, including threat intelligence feeds, network logs, and endpoint devices, Resecurity identifies suspicious activities and potential vulnerabilities with speed and precision. Enhanced decision-making: Context AI by Resecurity employs natural language processing (NLP) and machine learning to generate actionable insights, enabling operators to make faster, more informed decisions. Scalability and automation: The SOC platform automates repetitive tasks such as alert triaging, allowing cybersecurity professionals to focus on complex, high-priority incidents. By integrating Context AI into GSOC, Resecurity addresses the critical challenges faced by traditional SOCs, such as overwhelming alert volumes and false positives, ensuring efficient operations even under significant stress. VR and the Cybersecurity Metaverse A standout feature of the GSOC is its integration of virtual reality (VR), enabling operators to leverage the cybersecurity metaverse for enhanced situational awareness, threat management, and collaboration. The use of VR offers a unique and immersive way to interact with cybersecurity data and operational environments: Immersive threat visualization: Operators can explore attack surfaces, breach points, and threat vectors in a dynamic, 3D virtual space. This visualization provides a holistic view of cybersecurity events that are often impossible to achieve with traditional tools. Collaborative incident response: In the VR environment, multiple operators, regardless of geographic location, can collaborate in real-time to simulate, analyze, and respond to cyber incidents. These fosters improved communication and coordination, critical for national and allied security operations. Advanced training simulations: VR environments allow GSOC personnel to train in realistic scenarios, such as handling ransomware attacks or defending against state-sponsored cyber intrusions. These simulations provide operators with hands-on experience in a controlled yet realistic setting, improving their readiness for real-world incidents. Immersive threat visualization: Operators can explore attack surfaces, breach points, and threat vectors in a dynamic, 3D virtual space. This visualization provides a holistic view of cybersecurity events that are often impossible to achieve with traditional tools. Collaborative incident response: In the VR environment, multiple operators, regardless of geographic location, can collaborate in real-time to simulate, analyze, and respond to cyber incidents. These fosters improved communication and coordination, critical for national and allied security operations. Advanced training simulations: VR environments allow GSOC personnel to train in realistic scenarios, such as handling ransomware attacks or defending against state-sponsored cyber intrusions. These simulations provide operators with hands-on experience in a controlled yet realistic setting, improving their readiness for real-world incidents. By integrating VR, GSOC goes beyond conventional dashboards and interfaces, creating a more intuitive and interactive approach to managing cybersecurity threats. The role of GSOC in national security Resecurity’s GSOC is designed to serve as a comprehensive cybersecurity framework for governments and allied organizations. It enables a centralized approach to security operations, ensuring real-time monitoring and response capabilities across agencies and infrastructure. Key benefits of the GSOC include: Unified security monitoring: By consolidating security operations, GSOC provides a holistic view of all potential threats across critical systems, such as energy grids, transportation networks, and communication platforms. Threat intelligence aggregation: The GSOC collects and processes threat intelligence from various public and private sources, enabling governments to stay ahead of emerging threats. Cross-agency collaboration: Governments can use GSOC to coordinate cybersecurity efforts between multiple agencies, ensuring cohesive and timely responses to incidents. Unified security monitoring: By consolidating security operations, GSOC provides a holistic view of all potential threats across critical systems, such as energy grids, transportation networks, and communication platforms. Threat intelligence aggregation: The GSOC collects and processes threat intelligence from various public and private sources, enabling governments to stay ahead of emerging threats. Cross-agency collaboration: Governments can use GSOC to coordinate cybersecurity efforts between multiple agencies, ensuring cohesive and timely responses to incidents. NATO Edge 2024 emphasized the importance of leveraging advanced technologies, such as AI and VR, to bolster member states’ defense capabilities. The future of GSOC: Driving Cybersecurity Innovation Resecurity’s GSOC is not just a technological solution; it represents a paradigm shift in how governments and organizations approach cybersecurity. The integration of AI and VR is just the beginning of what GSOCs can achieve in the future. Evolving AI applications: Advances in AI, such as predictive analytics and autonomous systems, will enable GSOCs to anticipate and neutralize threats before they materialize. Expanding VR capabilities: The use of VR in GSOCs will extend beyond training and visualization, incorporating augmented reality (AR) tools for field operatives and remote teams. International collaboration: GSOCs will play a key role in fostering global partnerships, allowing nations to pool resources, share intelligence, and build collective defense strategies. Evolving AI applications: Advances in AI, such as predictive analytics and autonomous systems, will enable GSOCs to anticipate and neutralize threats before they materialize. Expanding VR capabilities: The use of VR in GSOCs will extend beyond training and visualization, incorporating augmented reality (AR) tools for field operatives and remote teams. International collaboration: GSOCs will play a key role in fostering global partnerships, allowing nations to pool resources, share intelligence, and build collective defense strategies. About Resecurity __ Resecurity __® is a cybersecurity company that delivers a unified endpoint protection, fraud prevention, risk management, and cyber threat intelligence platform. Resecurity Known for providing best-of-breed data-driven intelligence solutions, Resecurity's services and platforms focus on early-warning identification of data breaches and comprehensive protection against cybersecurity risks. Founded in 2016, it has been globally recognized as one of the world's most innovative cybersecurity companies with the sole mission of enabling organizations to combat cyber threats regardless of how sophisticated they are. Most recently, Resecurity was named one of the Top 10 fastest-growing private cybersecurity companies in Los Angeles, California, by Inc. Magazine. An Official Partner of the Cybercrime Atlas by the World Economic Forum (WEF), a Member of InfraGard National Members Alliance (INMA), AFCEA, NDIA, SIA, FS-ISAC, Cloud Security Alliance (CSA), and the American Chamber of Commerce in Saudi Arabia (AmChamKSA), Singapore (AmChamSG), Korea (AmChamKorea), Mexico (AmChamMX), Thailand (AmChamThailand), and UAE (AmChamDubai). To learn more about Resecurity, users can visit https://resecurity.com . https://resecurity.com https://resecurity.com Contact Mills Peter Resecurity, Inc. contact@resecurity.com This story was distributed as a release by Cybernewswire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Cybernewswire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Resecurity Introduces Government Security Operations Center (GSOC) At NATO Edge 2024

Resecurity представя Центъра за правителствени операции по сигурността (GSOC) на НАТО Edge 2024

রিসিকিউরিটি NATO এজ 2024-এ সরকারি নিরাপত্তা অপারেশন সেন্টার (GSOC) চালু করেছে

Resecurity presenta el Centro de Operaciones de Seguridad Gubernamental (GSOC) en NATO Edge 2024

Resecurity présente le Centre des opérations de sécurité du gouvernement (GSOC) à l'occasion de la conférence NATO Edge 2024

Resecurity Memperkenalkan Pusat Operasi Keamanan Pemerintah (GSOC) di NATO Edge 2024

Resecurity が NATO Edge 2024 で政府セキュリティ オペレーション センター (GSOC) を導入

„Resecurity“ pristato Vyriausybės saugumo operacijų centrą (GSOC) „NATO Edge 2024“.

Resecurity нь НАТО-гийн Edge 2024 дээр Засгийн газрын аюулгүй байдлын үйл ажиллагааны төвийг (GSOC) танилцууллаа.

ආරක්‍ෂාව NATO Edge 2024 හි රජයේ ආරක්‍ෂක මෙහෙයුම් මධ්‍යස්ථානය (GSOC) හඳුන්වා දෙයි

Resecurity Inosuma Hurumende Yekuchengetedza Operations Center (GSOC) PaNATO Edge 2024

Сигурност уводи владин безбедносни оперативни центар (ГСОЦ) на НАТО Едге 2024

பாதுகாப்பு நேட்டோ எட்ஜ் 2024 இல் அரசாங்க பாதுகாப்பு செயல்பாட்டு மையத்தை (GSOC) அறிமுகப்படுத்துகிறது

Albert Einstein famously defined insanity as doing the same thing over and over again and expecting different results. From my perspective, this principle, often cited to highlight counterproductive behavior, aptly describes the current state of B2B marketing, especially at the middle market and enterprise levels. Despite evolving technologies and market dynamics, many companies persist with traditional strategies relying on volume and consistency, hoping for a breakthrough that sometimes never arrives. The Current Challenges In B2B Marketing The B2B marketing landscape is fraught with challenges. From saturated channels to evolving buyer expectations, businesses find it increasingly difficult to stand out. Email marketing, social media, blogs and content creation have become ubiquitous tools. Yet, their effectiveness diminishes as every company follows the same playbook. Let's explore some of the core challenges. Email Marketing Fatigue: Despite sophisticated segmentation and personalization techniques, email inboxes are flooded. Decision makers often overlook even the most well-crafted emails amidst the clutter. • Social Media Overload: Platforms like LinkedIn are brimming with posts, articles and ads. The noise level is high, making it challenging for any single message to resonate. • Content Saturation: Every company has a blog, eBook or whitepaper. The internet is awash with content, much of it repetitive and lacking in originality. Potential clients struggle to find valuable insights amid the deluge. • Diminishing Returns On Traditional Tactics: Webinars, whitepapers and case studies are staples in B2B marketing. However, as more businesses use these tactics, their impact lessens. The same strategies are recycled without yielding new results. The Insanity Principle In Action The prevailing B2B marketing approach exemplifies the Insanity Principle. Companies stick to the same strategies, hoping for different outcomes. The cycle perpetuates because change is daunting, and there is comfort in the familiar. Yet, breaking free from this cycle is essential for meaningful progress. Rethinking B2B Marketing Strategies To overcome these challenges and escape the insanity cycle, B2B marketers must embrace innovation and adaptability. Here are some steps to consider. • Embrace Account-Based Marketing (ABM): ABM focuses on personalized, high-touch engagement with key accounts. This approach contrasts with the broad, often impersonal methods of traditional marketing. By tailoring efforts to specific needs and pain points, companies can foster deeper relationships with customers and drive better results. • Leverage AI And Data Analytics: AI can offer predictive insights, automate mundane tasks and personalize interactions at scale. Data analytics provide a clearer understanding of buyer behavior, enabling more targeted and effective marketing efforts. • Humanize The Brand: Authenticity resonates. User-generated content and influencer partnerships can inject credibility and relatability into marketing efforts. Meeting customers where they are—whether on TikTok, Instagram or LinkedIn—ensures messages are delivered in a context that feels natural and engaging. • Innovate With Interactive Content: Static content is losing its luster. Interactive content like quizzes, calculators and virtual events can capture attention and engage audiences in more meaningful ways. • Foster Community And Engagement: Building a community around your brand can drive loyalty and advocacy. Creating platforms for discussion, feedback and shared experiences can help cultivate a sense of belonging and trust. • Experiment And Iterate: Agile marketing allows for continuous testing and optimization. By embracing a mindset of experimentation, companies can quickly adapt to changing market conditions and refine their strategies based on real-time feedback. Looking Forward The Insanity Principle serves as a cautionary tale for B2B marketers. Sticking to outdated strategies while expecting different outcomes is a recipe for stagnation. By embracing innovation, leveraging new technologies and prioritizing authentic engagement, companies can break free from the cycle and achieve sustainable growth. Truly escaping the trappings of the Insanity Principle requires bold steps and a willingness to challenge the status quo. Here are some ideas. • Adopt A Growth Mindset: Encourage a culture that embraces change and continuous learning. A growth mindset allows teams to view failures as opportunities for learning and improvement. • Empower Teams To Take Risks: Innovation often comes from taking calculated risks. Leadership should create an environment where teams feel safe to experiment without fear of failure. • Invest In Continuous Improvement: Regularly assess and refine marketing strategies based on data-driven insights. Continuous improvement ensures that marketing efforts evolve with market conditions and buyer expectations. • Encourage Cross-Functional Collaboration: Breaking down silos and fostering collaboration across departments can lead to more integrated and effective marketing strategies. Diverse perspectives often lead to more innovative solutions. • Stay Customer-Centric: Keep the customer at the heart of all marketing efforts. Understanding and addressing their evolving needs and preferences can drive more effective and resonant marketing campaigns. By moving beyond the comfort of the familiar and pioneering new paths in B2B marketing, companies can not only avoid the pitfalls of the Insanity Principle but also position themselves for long-term success in a rapidly changing landscape. Follow me on LinkedIn. Albert Einstein famously defined insanity as doing the same thing over and over again and expecting different results. From my perspective, this principle, often cited to highlight counterproductive behavior, aptly describes the current state of B2B marketing, especially at the middle market and enterprise levels. Despite evolving technologies and market dynamics, many companies persist with traditional strategies relying on volume and consistency, hoping for a breakthrough that sometimes never arrives. The Current Challenges In B2B Marketing The B2B marketing landscape is fraught with challenges. From saturated channels to evolving buyer expectations, businesses find it increasingly difficult to stand out. Email marketing, social media, blogs and content creation have become ubiquitous tools. Yet, their effectiveness diminishes as every company follows the same playbook. Let's explore some of the core challenges. Email Marketing Fatigue: Despite sophisticated segmentation and personalization techniques, email inboxes are flooded. Decision makers often overlook even the most well-crafted emails amidst the clutter. Email Marketing Fatigue: Despite sophisticated segmentation and personalization techniques, email inboxes are flooded. Decision makers often overlook even the most well-crafted emails amidst the clutter. Email Marketing Fatigue: • Social Media Overload: Platforms like LinkedIn are brimming with posts, articles and ads. The noise level is high, making it challenging for any single message to resonate. • Social Media Overload: • Content Saturation: Every company has a blog, eBook or whitepaper. The internet is awash with content, much of it repetitive and lacking in originality. Potential clients struggle to find valuable insights amid the deluge. • Content Saturation: • Diminishing Returns On Traditional Tactics: Webinars, whitepapers and case studies are staples in B2B marketing. However, as more businesses use these tactics, their impact lessens. The same strategies are recycled without yielding new results. • Diminishing Returns On Traditional Tactics: The Insanity Principle In Action The prevailing B2B marketing approach exemplifies the Insanity Principle. Companies stick to the same strategies, hoping for different outcomes. The cycle perpetuates because change is daunting, and there is comfort in the familiar. Yet, breaking free from this cycle is essential for meaningful progress. Rethinking B2B Marketing Strategies To overcome these challenges and escape the insanity cycle, B2B marketers must embrace innovation and adaptability. Here are some steps to consider. • Embrace Account-Based Marketing (ABM): ABM focuses on personalized, high-touch engagement with key accounts. This approach contrasts with the broad, often impersonal methods of traditional marketing. By tailoring efforts to specific needs and pain points, companies can foster deeper relationships with customers and drive better results. • Embrace Account-Based Marketing (ABM): • Leverage AI And Data Analytics: AI can offer predictive insights, automate mundane tasks and personalize interactions at scale. Data analytics provide a clearer understanding of buyer behavior, enabling more targeted and effective marketing efforts. • Leverage AI And Data Analytics: • Humanize The Brand: Authenticity resonates. User-generated content and influencer partnerships can inject credibility and relatability into marketing efforts. Meeting customers where they are—whether on TikTok, Instagram or LinkedIn—ensures messages are delivered in a context that feels natural and engaging. • Humanize The Brand: • Innovate With Interactive Content: Static content is losing its luster. Interactive content like quizzes, calculators and virtual events can capture attention and engage audiences in more meaningful ways. • Innovate With Interactive Content: • Foster Community And Engagement: Building a community around your brand can drive loyalty and advocacy. Creating platforms for discussion, feedback and shared experiences can help cultivate a sense of belonging and trust. • Foster Community And Engagement: • Experiment And Iterate: Agile marketing allows for continuous testing and optimization. By embracing a mindset of experimentation, companies can quickly adapt to changing market conditions and refine their strategies based on real-time feedback. • Experiment And Iterate: Looking Forward The Insanity Principle serves as a cautionary tale for B2B marketers. Sticking to outdated strategies while expecting different outcomes is a recipe for stagnation. By embracing innovation, leveraging new technologies and prioritizing authentic engagement, companies can break free from the cycle and achieve sustainable growth. Truly escaping the trappings of the Insanity Principle requires bold steps and a willingness to challenge the status quo. Here are some ideas. • Adopt A Growth Mindset: Encourage a culture that embraces change and continuous learning. A growth mindset allows teams to view failures as opportunities for learning and improvement. • Adopt A Growth Mindset: • Empower Teams To Take Risks: Innovation often comes from taking calculated risks. Leadership should create an environment where teams feel safe to experiment without fear of failure. • Empower Teams To Take Risks: • Invest In Continuous Improvement: Regularly assess and refine marketing strategies based on data-driven insights. Continuous improvement ensures that marketing efforts evolve with market conditions and buyer expectations. • Invest In Continuous Improvement: • Encourage Cross-Functional Collaboration: Breaking down silos and fostering collaboration across departments can lead to more integrated and effective marketing strategies. Diverse perspectives often lead to more innovative solutions. • Encourage Cross-Functional Collaboration: • Stay Customer-Centric: Keep the customer at the heart of all marketing efforts. Understanding and addressing their evolving needs and preferences can drive more effective and resonant marketing campaigns. • Stay Customer-Centric: By moving beyond the comfort of the familiar and pioneering new paths in B2B marketing, companies can not only avoid the pitfalls of the Insanity Principle but also position themselves for long-term success in a rapidly changing landscape. Follow me on LinkedIn . LinkedIn

B2B Marketing Is Stuck in a Loop, and It’s Driving Everyone Insane

B2B Marketing ukax mä Loop ukan ch’amanchatawa, ukatx Taqiniruw Loco ukham tukuyi

El marketing B2B está atrapado en un bucle y está volviendo locos a todos

Maketing B2B kole nan yon bouk, epi li fè tout moun fou

B2B マーケティングはループに陥り、誰もが気が狂いそうになっている

B2B მარკეტინგი გაჭედილია და ის ყველას გიჟდება

B2B 마케팅은 루프에 갇혀 있고 모든 사람을 미치게 만들고 있습니다.

B2B маркетинги айлампага тыгылып, бардыгын жинди кылып жатат

B2B mārketings ir iestrēdzis, un tas visus padara neprātīgus

Marketingul B2B este blocat și îi înnebunește pe toți

B2B අලෙවිකරණය ලූපයක සිරවී ඇති අතර එය සෑම කෙනෙකුම උමතු කරවයි

Б2Б маркетинг је заглављен у петљи и све излуђује

การตลาด B2B ติดอยู่ในวงจร และทำให้ทุกคนคลั่งไคล้

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