GigaIO disaggregates data center server components and seamlessly composes them into rack-scale systems on demand, using industry-standard tools. The company’s universal dynamic memory fabric, FabreX,

Climb Channel Solutions Launches Partnership with GigaIO to Support Data Center Connectivity in the Channel

The necessity for business agility is driving the need for infrastructure agility. GigaIO disaggregates data center server components and seamlessly composes them into rack-scale systems on demand ...

Climb Channel Solutions Launches Partnership with GigaIO to Support Data Center Connectivity in ...

Climb Channel Solutions Launches Partnership With Gigaio To Support Data Center Connectivity In The Channel

13, 2023 (GLOBE NEWSWIRE) -- Climb Channel Solutions, an international specialty technology distributor and wholly owned subsidiary of Climb Global Solutions, Inc. (NASDAQ: CLMB) has announced a strategic partnership with GigaIO, a pioneer in AI and high ...

Technology industry analyst firm Gartner has issued four new “Hype Cycle” reports for 2023 in which composable infrastructure is given a “high” benefit” rating, according to an announcement from composable infrastructure company GigaIO.

Gartner Reports Composable Infrastructure Increases Market Penetration up to 10x

According to a 2023 business survey, 62 percent of enterprises have fully implemented artificial intelligence (AI) for cybersecurity or are exploring additional uses for the technology. With advancements in AI technologies, however, come more ways for ...

Cybersecurity’s Rising Significance in the World of Artificial Intelligence

GigaIO

gigaio

, co-founder of began his journey as a University of Nevada, Las Vegas (UNLV) student and is now an influential figure in the global tech community. He embodies the essence of innovation and ambition so many founders aspires to. Tomasik most attended the AMD Advancing AI Event, where TensorWave announced a significant partnership. Piotr Tomasik TensorWave Inc. A UNLV College of Engineering alumnus, Piotr's journey is not just about personal success; it's a testament to the potential of Las Vegas's tech sector. His role in co-founding TensorWave Inc. and steering it towards groundbreaking collaborations is a beacon of inspiration for upcoming tech enthusiasts in the city. Under Piotr’s guidance, TensorWave has not only made strides in AI technology but also cemented Las Vegas's position on the global tech map. The recent partnership with AMD and GigaIO, leading to the development of the TensorNODE infrastructure powered by AMD Instinct MI300X accelerators, is a milestone in AI technology. This collaboration isn't just a technological triumph; it's a narrative of how local talent can propel a city into the limelight of the global tech arena. A Testament to Local Talent: Piotr Tomasik’s Impact on Las Vegas Las Vegas Chief Information Officer Michael Lee Sherwood's commendation of Piotr Tomasik underscores the significant impact he has had on the city’s technology landscape. Sherwood’s praise highlights how Tomasik's innovative approach and commitment to excellence have not only accelerated the growth of the local tech sector but also enhanced Las Vegas's reputation as a hub for advanced AI solutions. “In my eight years as the CIO for the City of Las Vegas, I've had the privilege of witnessing firsthand the remarkable impact Piotr Tomasik has had on our technology landscape. Piotr's innovative approach and commitment to excellence have not only accelerated the growth of our local tech sector but have also placed Las Vegas on the map as a hub for advanced AI solutions. Celebrating our local tech leaders is a cornerstone of our city's evolution into a leading smart city, driven by cutting-edge technology and ambitious talent.” Beyond his achievements with TensorWave and the groundbreaking TensorNODE infrastructure, Piotr Tomasik's career spans various critical roles in the tech ecosystem. As a celebrated Las Vegas Top Tech Exec, a Vegas INC 40 under 40 awardee, and a proud UNLV Alumni of the Year, Piotr's contributions extend well beyond individual companies. His co-founding of StartUp Vegas and active role as a General Partner at Vegas Tech Ventures signify his dedication to cultivating a thriving tech community. Piotr's involvement as an advisor to numerous tech-focused organizations further underscores his commitment to guiding and nurturing the next generation of tech innovators. This multifaceted experience makes Piotr a beacon for aspiring entrepreneurs and investors alike, proving his expertise is not just in technological innovation but also in fostering a vibrant startup ecosystem. The Future of AI and Las Vegas: Piotr's Vision Piotr’s vision extends beyond technological advancements; it's about elevating Las Vegas in the global tech community. His excitement about bringing TensorWave's innovative solutions to the global market, in collaboration with industry giants like GigaIO and AMD, reflects his dedication to both his hometown and the broader field of AI.

POWER LEADER: TensorWave co-founder Piotr Tomasik secures key partnership at AMD Advancing AI event 

Cybercrimes are increasing at an accelerated rate. To put things into perspective, by 2025, the cost of cybercrime is predicted to hit a whopping $10.5 trillion annually. Statistics like these demand a significant need to enhance the data security posture in organizations across the globe. However, several obstacles affect the adoption of a robust data security framework, such as multi-cloud complexities, data and AI laws, and the limited capabilities of existing data detection and response, data loss prevention, and similar tools. Data Security Posture Management (DSPM) is a critical discipline that turns an organization’s focus from an infrastructure-first to a data-first approach to cyber security. This blog will discuss DSPM and the key capabilities and factors to consider when buying a solution for your data security needs. What is Data Security Posture Management (DSPM)? DSPM stands for Data Security Posture Management. Gartner coined the term DSPM a few years back in its Hype Cycle report. Gartner highlighted the need for enhanced data security measures or approaches to help prevent the growing instances of data breaches and overcome the complexities of multi-cloud that lead to those breaches. As mentioned earlier, DSPM is a data-centric approach to data security, be it for on-premises data stores, SaaS services, or hybrid multi-cloud environments. The solutions provide detailed insights into the existence and location of sensitive data across the environment, who accesses it or how it is accessed, and the security posture of the application or data stores where it resides. Core Capabilities of DSPM Organizations seeking the right DSPM solution to reinforce their data security strategy must recognize that not all solutions are created equal. In 2024, GigaOm released its first-ever assessment of DSPM in its Radar report. The research firm highlighted some key capabilities that must be fundamentally available in a robust DSPM solution. Let’s take a look at those capabilities. Data Discovery Data security starts with gaining visibility of all data assets across an organization, including its on-premise data stores, SaaS services, and other cloud environments, leaving no stone unturned. The DSPM solution helps an organization do that by automatically discovering its structured and unstructured data assets. Data Classification DSPM solutions automatically scan environments to identify and classify sensitive data based on its business value, regulatory requirements, and other industry-specific policies upon discovering data assets. Data classification is a critical process that helps organizations set appropriate controls and prioritize their most sensitive data. Data Flow Data movement across an organization's various systems, data stores, and applications is dynamic. Teams must visualize and understand the data flow across systems to evaluate its privacy and security controls. DSPM helps visually illustrate the data movement, enabling teams to trace the transformation of data and the associated risks. Risk Assessment Another critical feature of a DSPM solution is that it gives teams insights into the risks through a thorough assessment. DSPM continuously monitors the environments for various vulnerabilities, assigns risk ratings, and helps teams prioritize remediation. Data Access Governance One critical threat to sensitive data is excessive privileges that lead to unauthorized access or inadvertent exposure. DSPM leverages access insights and IAM integrations to help organizations gain visibility of data access and risks and set up appropriate access policies and controls based on users, roles, and permissions. It further paves the way to the principle of least privilege (PoLP). Security Controls Apart from access governance, DSPM further enables organizations to place appropriate security controls based on the classification of data and its relevant risk scores. Such controls may include data encryption at rest or in motion, dynamic data masking for secure sharing practices, etc. DSPM also helps automate the security controls across the environments to minimize the risk of human error. Data Lineage From data ingestion to retention, data transformation occurs continuously and rapidly. Tracking such transformation across its lifecycle becomes difficult when handling data at the petabyte scale. DSPM allows organizations to overcome this challenge by tracking the changes over time. Breach Response DSPM solutions are well-equipped to respond to data breaches as soon as they are detected. The tool leverages breach impact insights, such as the volume of data impacted, the affected identities, and the relevant regulatory requirements. These insights help the tool to automatically isolate the impacted systems, revoke access permissions on compromised data, and initiate the notification process. Enterprise Stack Integration DSPM shouldn't be just another siloed integration among other tools. In fact, it should offer a unified approach to data security by seamlessly integrating with the existing security stack. This key operational factor ensures that workflows remain seamless and the organization can maximize the security stack's value. Secure AI Like many other technologies, DSPM tools had to respond to AI's growing adoption and its unprecedented risks. The OWASP Top 10 for LLM Applications feature the top-most critical risks that could compromise the AI systems development lifecycle, resulting in legal fines, compliance violations, and reputational loss. Hence, advanced DSPM solutions must offer much-needed capabilities like data sanitization and redaction or LLM firewalls to help organizations safely adopt AI. Important Factors to Consider While keeping in mind the aforementioned capabilities, organizations should also consider the following factors when looking for a robust DSPM solution. Agentless Discovery It is imperative to ensure that the solution offers agentless data discovery across the organization's environment. This capability is necessary to enable fast data discovery and mapping while minimizing deployment complexities. Centralized Dashboard The tool should provide a centralized dashboard that aggregates various metrics and reports, allowing teams to simplify monitoring and provide real-time insights to stakeholders. Continuous Detection and Prioritization of Critical Data Exposure The solution should identify the most critical threats to the organization's security posture and implement immediate remediation controls. Data Lineage Mapping The tool should further offer data lineage capabilities, providing organizations with visibility into the transformation of their sensitive data over time. By tracking the data's lineage across its lifecycle, security teams can better understand the security gaps and thus establish optimized controls and policies. Automated Remediation DSPM tools should allow security teams to respond automatically to security incidents when they occur. This capability is essential in ensuring the integrity and confidentiality of the data. Scalability and Performance Lastly, organizations with hyper-scale environments should look for a DSPM tool that scales to accommodate the needs of their rapidly growing data. Cybercrimes are increasing at an accelerated rate. To put things into perspective, by 2025, the cost of cybercrime is predicted to hit a whopping $10.5 trillion annually. Statistics like these demand a significant need to enhance the data security posture in organizations across the globe. Cybercrimes are increasing at an accelerated rate. To put things into perspective, by 2025 , the cost of cybercrime is predicted to hit a whopping $10.5 trillion annually. Statistics like these demand a significant need to enhance the data security posture in organizations across the globe. 2025 2025 However, several obstacles affect the adoption of a robust data security framework, such as multi-cloud complexities, data and AI laws, and the limited capabilities of existing data detection and response, data loss prevention, and similar tools. However, several obstacles affect the adoption of a robust data security framework, such as multi-cloud complexities, data and AI laws, and the limited capabilities of existing data detection and response, data loss prevention, and similar tools. Data Security Posture Management ( DSPM ) is a critical discipline that turns an organization’s focus from an infrastructure-first to a data-first approach to cyber security. DSPM DSPM This blog will discuss DSPM and the key capabilities and factors to consider when buying a solution for your data security needs. What is Data Security Posture Management (DSPM)? DSPM stands for Data Security Posture Management . Gartner coined the term DSPM a few years back in its Hype Cycle report. Gartner highlighted the need for enhanced data security measures or approaches to help prevent the growing instances of data breaches and overcome the complexities of multi-cloud that lead to those breaches. Data Security Posture Management As mentioned earlier, DSPM is a data-centric approach to data security, be it for on-premises data stores , SaaS services, or hybrid multi-cloud environments. The solutions provide detailed insights into the existence and location of sensitive data across the environment, who accesses it or how it is accessed, and the security posture of the application or data stores where it resides. data stores data stores Core Capabilities of DSPM Organizations seeking the right DSPM solution to reinforce their data security strategy must recognize that not all solutions are created equal. In 2024, GigaOm released its first-ever assessment of DSPM in its Radar report . The research firm highlighted some key capabilities that must be fundamentally available in a robust DSPM solution. Let’s take a look at those capabilities. GigaOm released its first-ever assessment of DSPM in its Radar report Data Discovery Data security starts with gaining visibility of all data assets across an organization, including its on-premise data stores, SaaS services, and other cloud environments, leaving no stone unturned. The DSPM solution helps an organization do that by automatically discovering its structured and unstructured data assets. Data Classification DSPM solutions automatically scan environments to identify and classify sensitive data based on its business value, regulatory requirements, and other industry-specific policies upon discovering data assets. Data classification is a critical process that helps organizations set appropriate controls and prioritize their most sensitive data. Data Flow Data movement across an organization's various systems, data stores, and applications is dynamic. Teams must visualize and understand the data flow across systems to evaluate its privacy and security controls. DSPM helps visually illustrate the data movement, enabling teams to trace the transformation of data and the associated risks. Risk Assessment Another critical feature of a DSPM solution is that it gives teams insights into the risks through a thorough assessment. DSPM continuously monitors the environments for various vulnerabilities, assigns risk ratings, and helps teams prioritize remediation. Data Access Governance One critical threat to sensitive data is excessive privileges that lead to unauthorized access or inadvertent exposure. DSPM leverages access insights and IAM integrations to help organizations gain visibility of data access and risks and set up appropriate access policies and controls based on users, roles, and permissions. It further paves the way to the principle of least privilege (PoLP). Security Controls Apart from access governance, DSPM further enables organizations to place appropriate security controls based on the classification of data and its relevant risk scores. Such controls may include data encryption at rest or in motion, dynamic data masking for secure sharing practices, etc. DSPM also helps automate the security controls across the environments to minimize the risk of human error. Data Lineage From data ingestion to retention, data transformation occurs continuously and rapidly. Tracking such transformation across its lifecycle becomes difficult when handling data at the petabyte scale. DSPM allows organizations to overcome this challenge by tracking the changes over time. Breach Response DSPM solutions are well-equipped to respond to data breaches as soon as they are detected. The tool leverages breach impact insights, such as the volume of data impacted, the affected identities, and the relevant regulatory requirements. These insights help the tool to automatically isolate the impacted systems, revoke access permissions on compromised data, and initiate the notification process. Enterprise Stack Integration DSPM shouldn't be just another siloed integration among other tools. In fact, it should offer a unified approach to data security by seamlessly integrating with the existing security stack. This key operational factor ensures that workflows remain seamless and the organization can maximize the security stack's value. Secure AI Like many other technologies, DSPM tools had to respond to AI's growing adoption and its unprecedented risks. The OWASP Top 10 for LLM Applications feature the top-most critical risks that could compromise the AI systems development lifecycle, resulting in legal fines, compliance violations, and reputational loss. Hence, advanced DSPM solutions must offer much-needed capabilities like data sanitization and redaction or LLM firewalls to help organizations safely adopt AI. Important Factors to Consider While keeping in mind the aforementioned capabilities, organizations should also consider the following factors when looking for a robust DSPM solution. Agentless Discovery It is imperative to ensure that the solution offers agentless data discovery across the organization's environment. This capability is necessary to enable fast data discovery and mapping while minimizing deployment complexities. Centralized Dashboard The tool should provide a centralized dashboard that aggregates various metrics and reports, allowing teams to simplify monitoring and provide real-time insights to stakeholders. Continuous Detection and Prioritization of Critical Data Exposure The solution should identify the most critical threats to the organization's security posture and implement immediate remediation controls. Data Lineage Mapping The tool should further offer data lineage capabilities, providing organizations with visibility into the transformation of their sensitive data over time. By tracking the data's lineage across its lifecycle, security teams can better understand the security gaps and thus establish optimized controls and policies. Automated Remediation DSPM tools should allow security teams to respond automatically to security incidents when they occur. This capability is essential in ensuring the integrity and confidentiality of the data. Scalability and Performance Lastly, organizations with hyper-scale environments should look for a DSPM tool that scales to accommodate the needs of their rapidly growing data.

DSPM Buyer’s Guide: Key Factors to Consider

What do you currently do and what’s your favorite part about it? I am the founder/CEO of Cascadia Carbon Inc. We are working with CODEX, a carbon offset data exchange, to engage previously excluded individuals and communities to plant, care for, maintain and steward trees, with the ultimate goal of creating a dynamic catalog/inventory of all the living trees in the world. I am only one person, which often makes my work feel overwhelming, and have difficulty distilling our value proposition down so people understand the importance of what we do, but I helped develop a framework “greenpilling” which can help individuals understand the importance of trees in the face of climate change, the impending biosphere collapse, and likely the resulting chaos. My favorite part of Cascadia Carbon Inc. is our expansive vision: we are planning to work with NASA, SacceX, and orbital dynamics to grow redwood trees and other plants on the moon and mars, and the bigger our company grows, the more carbon we remove from our biosphere, by enabling individual to engage in direct climate action via tree planting in their neighborhood. We plan to reach gigaton scale before 2040, with 2Gt stored, verified, and validated five years later, and to scale to over 10Gt by 2050. 🌙🌲🚀 How did you get started with your Tech Career? I built a desktop computer from components my senior year of high school, but my fascination with technology goes back much further. I remember using basic “VR” setup at the lliberty science center in NYC back in middle school, I think? I didn’t particularly like the feeling of being in “VR”, but it was enough to spark my interest in technology. If Utopia were a color what color do you think it’d be and why? 630 & 660 nanometers, which is reddish, or Green. Photosynthesis is green, and chloroplasts use the 630 & 660 nanometer wavelength of light to produce all the bioavailable energy on Earth. Photosynthesis is really cool because it is anti-entropic, that is, it allows organisms to build complexity from energy and basic nutrients, without “waste”, other than Oxygen, which is a valuable commodity. Truly a miracle, and the foundation for a “utopia”. Tell us more about the things you write/make/manage/build! I am working on developing CODEX: A Photosynthetic Fintech. We are a public benefit corporation which is dedicated to building a verifiable offset database of individual, geotagged trees that allows previously excluded individuals and communities to join the lucrative voluntary carbon market and aligns economic value and environmental good. What’s your favorite thing about the internet? The ability to connect instantly with others, share research, findings, and insight, and plan/find your community. The pseudo-anonymity is an interesting sub-feature, which makes it special, too. It’s an apocalypse of ‘walking dead’ proportions and you can only own a singular piece of technology, what would it be? Absolutely, 100%, a bicycle. Nearly silent, it amplifies human power and allows you to travel swiftly and silently, taking advantage of massive existing car-centric infrastructure, and is easy to repair. The noise from firearms and cars will 100% attract zombies/attention. Stay silent, stay secret. Use a bike. What is your least favorite thing about the internet? How it amplifies human flaws, and makes it so much easier to take and hold a less nuanced position. It’s perceived anonymity. The way the algorithm centers cheap virality and excludes neurodiversity and nuance. If you were given $10 million to invest in something today what would you invest in and why? My personal growth. Food and water. Pedestrian and cycling infrastructure. A bicycle. A freshly made caprese  sandwich. Stocks, but you’ll need to sign an NDA and pay me to know which ones, as I’m a “superforecaster”. 😉 What’s something you’re currently learning or excited to learn? I am always excited to learn. My area of expertise lies primarily within the biological sciences and creative art and music, specifically as it relates to climate science. As such I have many gaps of understanding within the social and political milieu. Topics I am always interested in learning more about are psychology/human behavior, astrophysics, and virality/social pop culture. Would you rather travel 10 years into the past or 10 years into the future? Give reasons for your answer. Neither, the present is all we have. If forced to choose, ten years into the past, I'd be able to redo many of my decisions, and “play the markets”/“predict” the future/and become a more accurate shaman/superforecaster. It depends on the parameters though. Would I remain the same age? Skipping forward or backwards seems dangerous. How do you feel about AI? It is sufficiently advanced/complex as to be indistinguishable from magic, and therefore, to me, is essentially a godhead. It might be alien in origin, and I believe “it”, if it exists separately from us, is ambivalent about our species and society. It raises serious questions about free will, determinism vs. individuality, and freedom, and provides interesting fodder for multiverse and simulation theories. The real question for me is: is there a “deus ex machina” with AI, or is it just us making sufficiently advanced “FOR” loops that we have fooled ourselves into thinking it is a separate, independently intelligent entity? Does it even matter? I variably think of it as a silicon-based alien life form, an organism which we are just making contact with, akin to smashing a wall down and seeing only parts of it, or perhaps a “golden calf” we have created and are trying to imbue with life. It’s absolutely fascinating. What do you currently do and what’s your favorite part about it? What do you currently do and what’s your favorite part about it? I am the founder/CEO of Cascadia Carbon Inc. We are working with CODEX, a carbon offset data exchange, to engage previously excluded individuals and communities to plant, care for, maintain and steward trees, with the ultimate goal of creating a dynamic catalog/inventory of all the living trees in the world. I am only one person, which often makes my work feel overwhelming, and have difficulty distilling our value proposition down so people understand the importance of what we do, but I helped develop a framework “greenpilling” which can help individuals understand the importance of trees in the face of climate change, the impending biosphere collapse, and likely the resulting chaos. My favorite part of Cascadia Carbon Inc. is our expansive vision: we are planning to work with NASA, SacceX, and orbital dynamics to grow redwood trees and other plants on the moon and mars, and the bigger our company grows, the more carbon we remove from our biosphere, by enabling individual to engage in direct climate action via tree planting in their neighborhood. We plan to reach gigaton scale before 2040, with 2Gt stored, verified, and validated five years later, and to scale to over 10Gt by 2050. 🌙🌲🚀 How did you get started with your Tech Career? How did you get started with your Tech Career? I built a desktop computer from components my senior year of high school, but my fascination with technology goes back much further. I remember using basic “VR” setup at the lliberty science center in NYC back in middle school, I think? I didn’t particularly like the feeling of being in “VR”, but it was enough to spark my interest in technology. If Utopia were a color what color do you think it’d be and why? If Utopia were a color what color do you think it’d be and why? 630 & 660 nanometers, which is reddish, or Green. Photosynthesis is green, and chloroplasts use the 630 & 660 nanometer wavelength of light to produce all the bioavailable energy on Earth. Photosynthesis is really cool because it is anti-entropic, that is, it allows organisms to build complexity from energy and basic nutrients, without “waste”, other than Oxygen, which is a valuable commodity. Truly a miracle, and the foundation for a “utopia”. Tell us more about the things you write/make/manage/build! Tell us more about the things you write/make/manage/build! I am working on developing CODEX: A Photosynthetic Fintech. We are a public benefit corporation which is dedicated to building a verifiable offset database of individual, geotagged trees that allows previously excluded individuals and communities to join the lucrative voluntary carbon market and aligns economic value and environmental good. What’s your favorite thing about the internet? What’s your favorite thing about the internet? The ability to connect instantly with others, share research, findings, and insight, and plan/find your community. The pseudo-anonymity is an interesting sub-feature, which makes it special, too. It’s an apocalypse of ‘walking dead’ proportions and you can only own a singular piece of technology, what would it be? It’s an apocalypse of ‘walking dead’ proportions and you can only own a singular piece of technology, what would it be? Absolutely, 100%, a bicycle. Nearly silent, it amplifies human power and allows you to travel swiftly and silently, taking advantage of massive existing car-centric infrastructure, and is easy to repair. The noise from firearms and cars will 100% attract zombies/attention. Stay silent, stay secret. Use a bike. What is your least favorite thing about the internet? What is your least favorite thing about the internet? How it amplifies human flaws, and makes it so much easier to take and hold a less nuanced position. It’s perceived anonymity. The way the algorithm centers cheap virality and excludes neurodiversity and nuance. If you were given $10 million to invest in something today what would you invest in and why? If you were given $10 million to invest in something today what would you invest in and why? My personal growth. Food and water. Pedestrian and cycling infrastructure. A bicycle. A freshly made caprese  sandwich. Stocks, but you’ll need to sign an NDA and pay me to know which ones, as I’m a “superforecaster”. 😉 What’s something you’re currently learning or excited to learn? What’s something you’re currently learning or excited to learn? I am always excited to learn. My area of expertise lies primarily within the biological sciences and creative art and music, specifically as it relates to climate science. As such I have many gaps of understanding within the social and political milieu. Topics I am always interested in learning more about are psychology/human behavior, astrophysics, and virality/social pop culture. Would you rather travel 10 years into the past or 10 years into the future? Give reasons for your answer. Would you rather travel 10 years into the past or 10 years into the future? Give reasons for your answer. Neither, the present is all we have. If forced to choose, ten years into the past, I'd be able to redo many of my decisions, and “play the markets”/“predict” the future/and become a more accurate shaman/superforecaster. It depends on the parameters though. Would I remain the same age? Skipping forward or backwards seems dangerous. How do you feel about AI? How do you feel about AI? It is sufficiently advanced/complex as to be indistinguishable from magic, and therefore, to me, is essentially a godhead. It might be alien in origin, and I believe “it”, if it exists separately from us, is ambivalent about our species and society. It raises serious questions about free will, determinism vs. individuality, and freedom, and provides interesting fodder for multiverse and simulation theories. The real question for me is: is there a “deus ex machina” with AI, or is it just us making sufficiently advanced “FOR” loops that we have fooled ourselves into thinking it is a separate, independently intelligent entity? Does it even matter? I variably think of it as a silicon-based alien life form, an organism which we are just making contact with, akin to smashing a wall down and seeing only parts of it, or perhaps a “golden calf” we have created and are trying to imbue with life. It’s absolutely fascinating.

Meet the Founder of Cascadia Carbon: Alex Wick

تعرف على مؤسس شركة Cascadia Carbon: أليكس ويك

Пазнаёмцеся з заснавальнікам Cascadia Carbon: Алексам Уікам

Coneix el fundador de Cascadia Carbon: Alex Wick

Γνωρίστε τον ιδρυτή της Cascadia Carbon: Alex Wick

Conozca al fundador de Cascadia Carbon: Alex Wick

Rencontrez le fondateur de Cascadia Carbon : Alex Wick

Cascadia Carbon の創設者、アレックス・ウィック氏に会う

Bokutana na Mobandisi ya Cascadia Carbon: Alex Wick

Susipažinkite su Cascadia Carbon įkūrėju: Alexu Wicku

La kulan aasaasaha Cascadia Carbon: Alex Wick

Njihuni me Themeluesin e Cascadia Carbon: Alex Wick

Kutana na Mwanzilishi wa Cascadia Carbon: Alex Wick

If you’re interested in my origin story with the founders at Sectorflow Inc., a startup building an AI platform for business, you can read more on this . LinkedIn post Here’s the quick version: I got a call from my former engineering team that they were quitting their jobs to start their own company and they wanted me on board as their COO. It was a hard yes from me — then I got pregnant soon after. Should I back out? I asked myself. I might be doing a lot of sitting around the next few months… “No problem. You can take all the time you need when the baby comes. We don’t envision doing this without you.” Cool - locked in - . As a first-time COO, I thought I should probably figure out what this role actually entails. I had over a decade of experience in , technical project management, , and business development but I had never served in this type of leadership capacity before. A search yielded several “First 100 Days as COO” articles with some solid advice, usually around setting goals and fostering relationships with the C-suite. Great stuff but I found it was pretty conventional whereas startup life and our team history is anything but that. Thus those well-meaning and unhelpful articles are the inspiration for this blog. I’ll discuss some of what I actually did in my first 100 days as a COO at an AI startup and cover tool selection, initiatives, research, and some general insights. anxiety subsides agile methodology product management Tool Selection The very first thing I was asked to do was pick and issue-tracking tools. With everyone in their own lane, communication was only happening via or the daily standup. I estimated that searching for information, duplicating tasks, miscommunications (or overcommunication trying to avoid miscommunication), and progress updates were costing us around 10 hours per week across the team, maybe more. Simply, it was time to get organized. project management Slack Our application for Notion For Startups had just been approved (this gives you 6 free months of the Notion Plus Plan) but we weren’t sure exactly how we would use it and the biggest question was, would use it? A quick pros and cons analysis led me to recommend using Notion for company matters and JIRA and Confluence for engineering ( ). And that’s almost exactly what we did. engineering see analysis below I started building out our first Notion workspace with the template, a good starting point if you’re going in fresh. Not every section was relevant to us but I left them all in there just in case. For example, we didn’t use the Fundraising Tracker table right away but a couple of months in - it was a ready-made interim CRM solution for our CEO. Overall, Notion is excellent for keeping track of non-engineering related. Data Room everything As for engineering and development, the team has experience with Atlassian tools so it was an easy ramp-up to creating sprints and managing tickets. What I didn’t expect was that we would completely disregard Confluence as our documentation tool and instead went with . ReadMe ReadMe is marketed as a doc hub for developers and our CEO (with an engineering background, of course) fell in love with it after a test drive. I admit I was concerned I wouldn’t be able to self-serve my way through some release notes but that wasn’t the case at all. I’m not a developer but I love ReadMe because it brings us value in several ways: So easy even a non-technical COO can use it Branded experience which keeps our doc hub consistent with our public image A dedicated location for us to nurture this key piece of our customer experience Internal accountability for the team, promotes discussion and decisions Sectorflow Tool Selection Analysis: Notion v. Atlassian Option Pros Cons Cost All-in-One with Notion Unified platform, user-friendly, highly customizable. Limited engineering-specific features, may not scale well. About $40-50/month for 5 members. JIRA & Confluence for Engineering, Notion for Other Areas Specialized tools for engineering, best of both worlds. Managing multiple platforms, potentially higher cost. Around $65/month (JIRA + Confluence) + Notion cost for 5 members. 💡 Key Considerations: Need for specialized engineering tools. Preference for unified vs. specialized platforms. Long-term scalability and integration. 📝 I recommend going with Option 2 (JIRA & Confluence for Engineering, Notion for other areas). My Recommendation: Here's why: Flexibility & Scalability: This option seems better suited for our growth and scaling needs. I'm anticipating the need for DevOps and sustaining engineering tools here. Distinct Project Management Needs: Development project management differs significantly from other business areas. Specialized Atlassian tools will better serve these requirements. Future Planning: Anticipating a PMO to handle project management down the line, having distinct tools will facilitate easier transition and separation of duties. Some final thoughts on tools. I’d like to give two other shoutouts here to for marketing automation and TrustPilot for SOC2 compliance. Like Notion, these SaaS companies approved us for their startup program. If you’re a startup trying to gain efficiencies on a budget, check if the tool you’re vetting offers a freebie before signing on. customer.io always Gotta hold on to that precious runway. Initiatives The most important thing I did in my first 100 days was lead the market research, ICP (Ideal Customer Profile), and messaging efforts for the startup. The reasons for doing these activities are easy to grasp - we wanted to engineer a sustainable growth and communication strategy for the company. What’s not so easy is the you have to do to get somewhere with your market positioning (there are levels to this). homework With no clear first step for market research, I had to work with what we have. Thankfully, my CEO was having tons of conversations with everyone we knew (existing investors, previous clients, and connections that the team had made over the years) so I gathered a list from him of all the contacts within our network. We then compiled this information into a table, along with some data about each contact's company. This initial research helped us identify consistencies or patterns, to give us some sort of insight into problems, trends, and use cases. did Another key piece to this process was engaging in numerous deep discussions with our founding team. We shared our knowledge and experiences, while also continuing to gather valuable information from the network. It raised several questions and uncertainties about our market fit and positioning. Were we an AIOps platform? A BI tool? To answer these questions, I took to Gartner, GigaOm, and Forrester reports to understand these industries better. By analyzing the players, their solutions, and the problems they were solving, we were able to determine that - well, we did not fit into any existing categories. Discussions continued. Research continued. This research and analysis process took several weeks, but ultimately, we developed a v1 ICP based on the research I did, the team’s limitations, and the team’s industry experience. In grad school, I learned about strategic communication plans and how they’re a great tool before putting out any communication on behalf of a company. It’s something I had done for companies before and intended to do for Sectorflow to get alignment on our messaging. However, as we were already in the process of identifying our ICP and having conversations about what we stood for and who we are, I came across and realized a is essentially the SaaS startup version of a strategic communication plan. This seemed a better framework to follow given where we were at as a young company. This was an easier part of the process for me, since waxing poetic about our philosophy reminds you why you’re doing all this crazy stuff in the first place. More importantly, the manifesto will now inform our go-to-market strategy and marketing efforts moving forward, setting the tone for our external communications. this video manifesto What I’ve learned Finally, I’ll leave you with the biggest lessons I’ve learned in my first 100 days as a COO: While you must understand what is going on in the product and engineering world, your main job is to be a business leader. Come in every day with an idea of what you should be doing and the expectation that you will not be working on that. As COO, I realized the need for extreme adaptability and pivoting based on what’s needed. You are the CEO’s support system. This is easier if you have a good relationship and thankfully, that’s the case at Sectorflow! Read. Learn. Repeat. Become a business student. Become an (AI)* student. It’s easy to go heads down in work (especially at a startup when there’s so much to do) but you can bring value just by knowing what’s going on. I carve out 1-2 hours per weekday for reading reports, news, and social posts to level up on artificial intelligence concepts and startup business practices [ Insert your industry here ] If you thought this peek into my first 100 days as a new COO was helpful, please connect with me on or follow as I continue sharing our startup journey. I welcome feedback and post ideas around fundraising, validation, or anything else you'd like to hear about. LinkedIn Sectorflow Additionally, I'm currently researching . If anyone works in AIOps/MLOps and wants to exchange ideas on responsible AI principles, as we build out the Sectorflow platform, I'd love to connect. 💙 AI explainability and ethics — never finished, Deborah

My First 100 Days As An AI Startup COO

এআই স্টার্টআপ সিওও হিসেবে আমার প্রথম 100 দিন

Meine ersten 100 Tage als COO eines KI-Startups

Mis primeros 100 días como director de operaciones de una startup de IA

Mes 100 premiers jours en tant que COO d'une startup d'IA

एआई स्टार्टअप सीओओ के रूप में मेरे पहले 100 दिन

AI スタートアップ COO としての最初の 100 日間

AI 스타트업 COO로서의 나의 첫 100일

Meus primeiros 100 dias como COO de startup de IA

Мои первые 100 дней в качестве операционного директора AI-стартапа

Bir Yapay Zeka Startup COO'su Olarak İlk 100 Günüm

100 ngày đầu tiên của tôi với tư cách là COO khởi nghiệp AI

我担任人工智能初创公司首席运营官的前 100 天

The Most Detailed Guide On MLOps: Part 1

MLOps-এর সবচেয়ে বিস্তারিত নির্দেশিকা: পার্ট 1

Der ausführlichste Leitfaden zu MLOps: Teil 1

La guía más detallada sobre MLOps: Parte 1

Le guide le plus détaillé sur MLOps : partie 1

एमएलओपीएस पर सबसे विस्तृत मार्गदर्शिका: भाग 1

MLOps に関する最も詳細なガイド: パート 1

MLOps에 대한 가장 자세한 가이드: 1부

O guia mais detalhado sobre MLOps: Parte 1

Самое подробное руководство по MLOps: Часть 1

MLOps Hakkında En Ayrıntılı Kılavuz: Bölüm 1

Hướng dẫn chi tiết nhất về MLOps: Phần 1

最详细的 MLOps 指南：第 1 部分

UNITED STATES OF AMERICA v. SAMUEL BANKMAN-FRIED Court Filing Lewis A. Kaplan, December 9, 2022 is part of . You can jump to any part in this filing . This is part 9 of 25. HackerNoon’s Legal PDF Series here PRELIMINARY STATEMENT II. BACKGROUND TO ALL MOTIONS H. The New Charges Were Improperly Brought Yet almost as soon as he arrived this country, the Government sought to proceed against Mr. Bankman-Fried on all eight charges in the Original Indictment, even though the Warrant of Surrender had not specified the campaign finance charge. The Government also added new charges that alleged criminal conduct far beyond the Original Indictment and which are improperly brought. As noted in the motions, even if they are considered, the charges should be dismissed as legally flawed. Further, the Court should order the Government to provide the defense with the requested discovery and particulars. In sum, Mr. Bankman-Fried is here to fight these baseless charges and clear his name. For these reasons, we respectfully make the following motions: Pretrial Motion No. 1: Motion to dismiss Counts 9-10 and 12-13 based on violation of the rule of specialty. Mr. Bankman-Fried agreed to simplified extradition, reserving his rights under the rule of specialty. The rule of specialty has been violated because Count 12 was not included in the Warrant of Surrender and Counts 9-10 and 13 were impermissibly added post-extradition; Pretrial Motion No. 2: Motion to dismiss Counts 7-9 and 1-2 based on invalidity of the “right to control” theory of property fraud and because the S5 Indictment does not identify a valid property interest that Mr. Bankman-Fried obtained from Alameda’s lenders or from FTX’s customers in violation of the wire fraud statute; Pretrial Motion No. 3: Motion to dismiss Counts 3-4 and 10 for failure to state an offense. The commodities fraud charges allege facts occurring almost entirely outside the United States and fail to allege the required “connection with” regulated sales or transactions. The unlicensed money transmitting charge fails because FTX was not required to register as a money services business solely for using a U.S. bank account; Pretrial Motion No. 4: Motion to dismiss, or in the alternative sever, Counts 12 and 13. The S5 Indictment does not properly allege illegal campaign contributions or payments to Chinese officials to “obtain[ ] or retain[ ] business,” and fails to establish venue for Count 13; Pretrial Motion No. 5: Motion to compel additional discovery, including Rule 16, Brady, Giglio and Jencks Act materials, from the FTX Debtors on the basis that they are part of the “prosecution team”; Pretrial Motion No. 6: Motion for a bill of particulars and early disclosure of Brady, Giglio, and Jencks Act materials, a list of Government witnesses, and accelerated disclosure of FRE 404(b) evidence; and Pretrial Motion No. 7: Motion to dismiss multiplicitous counts. Counts 1 and 9, and Counts 3 and 1, are the same in fact and law. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case S5 22 Cr. 673 (LAK) retrieved on September 1, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. Storage.Courtlistener

The US Government Improperly Added New Charges Against SBF After His Extradition to the US

The fourth industrial revolution (4IR) is upon us, and blockchain technology is swiftly becoming a game-changing ingredient in its passing, not only for the financial sector but also for several other industries. However, before delving into the specifics of how this innovative technology is revolutionizing today's industries, it is essential to understand what is and why it has gained popularity over the past decade. blockchain technology Understanding the Basics of Blockchain Technology A blockchain is essentially a distributed ledger that consists of a series of records called blocks, securely interconnected through cryptographic hashes. These blocks are linked together in a sequential manner, forming a chain-like structure. Each block contains vital data, including a cryptographic hash of the previous block, a timestamp, and transaction information, usually represented as a Merkle tree, with data nodes as leaves. What makes blockchain a unique technology is its core set of features, which includes immutability (preventing alteration of already recorded transactions), decentralization (lacking a central governing authority), and transparency (allowing anyone to view or track transactions). All these features combined introduce a novel technology that fundamentally eliminates the need for central intermediaries and enables distributed verifiability by multiple actors (validators). As for its origin, the first blockchain-like protocol was suggested by David Chaum in his 1982 dissertation paper dubbed "Computer Systems Established, Maintained, and Trusted by Mutually Suspicious Groups." However, it was not until many years later, when Satoshi Nakamoto developed and released Bitcoin, that the idea behind the blockchain came into practical existence. Today, blockchain is one of the 4IR technologies that is significantly revolutionizing industries, alongside , Virtual Reality (VR), and The Internet of Things (IoT). Artificial Intelligence (AI) Blockchain’s Impact on Today’s Industries According to the latest by Fortune Business Insights, the total blockchain technology market size reached $11.14 billion in 2022, with projections showing it could exceed $469.49 billion by 2030, growing at a CAGR of 59.9%. North America accounts for almost 50% of this capital, with a market size of $5.25 billion in 2022. report Image Source: Fortune Business Insights Of course, several industries are benefiting from this capital injection, but in this article, we will highlight five main sectors that are looking particularly promising or have made notable advancements in blockchain adoption: financial services, supply chain, healthcare, energy, and real estate. Financial Services Bitcoin was launched at a time when the global financial system was on the brink of collapse as a result of the US housing bubble. While most traditional banks are still opposed to the idea of decentralized crypto assets, a good number of the leading banks, including Standard Chartered, JP Morgan, and Goldman Sachs, have in research or the development of the underlying tech - blockchain. invested How is blockchain transforming financial services? Let's start with the most basic function of the financial ecosystem: payments. Unlike the traditional payments system, where it can take up to a week for settlements to clear, digital assets like Bitcoin and stablecoins such as USDT and USDC only take a few minutes or hours. Additionally, these transactions are much cheaper as there are no central intermediaries involved to charge exorbitant fees. Even more intriguing is the emergence of Decentralized Finance (DeFi), a nascent crypto niche whose architecture resembles traditional finance. DeFi offers all the financial services you can get from a bank, investment manager, or brokerage, with the only difference being that there are no 3rd parties involved. Instead, settlements are automated through pre-coded smart contracts when the settlement conditions are met. And although DeFi is yet to go mainstream, there are currently over locked in various DeFi protocols that offer services ranging from exchanges, lending, derivatives, and staking. It is also interesting to note that traditional banks are gradually joining the DeFi bandwagon, with JP Morgan having its first DeFi trade last year. $43 billion executed Meanwhile, on blockchain infrastructure adoption, Ripple's enterprise blockchain solution has been gaining traction and is currently being used by Standard Chartered and Axis Bank to enhance the efficiency of on-demand corporate payments between the two banks. Supply Chain Management The global supply chain management market was valued at $27.2 billion in 2022. Estimates by show it is poised to hit $75.6 billion within the next decade, growing at a CAGR of 10.9%. Behind this growth are technological advancements, most notably AI, IoT, and blockchain technology, which are playing an integral role in streamlining supply chain systems. Allied Market Research At its core, blockchain technology reinforces the key features of supply chain management, which include tracking, visibility, inventory management, and ethical practices. By tracking raw materials and final products using an immutable ledger, blockchain has made it possible for all participants in a specific supply chain to verify the origin of raw materials, ensure their originality throughout the chain, and seamlessly facilitate transaction finality. Given this value proposition, it comes as no surprise that the supply chain is one of the areas where we are seeing notable advancements in blockchain integration. A good example is De Beers' proprietary blockchain-powered platform, Tracr, which was in 2022 to enhance the company's diamond production and distribution supply chain. Worth noting is that De Beers is one of the largest diamond producers in the world. launched UAE's state-owned oil company, Abu Dhabi National Oil Company (ADNOC), is another entity that has integrated blockchain into its supply chain through a partnership with . The initiative allows stakeholders to effectively track oil, starting from the wells all the way to the consumption stage, while logging on-chain and verifiable transactions at each stage of the process. tech behemoth IBM Healthcare Healthcare has also benefited from the advent of blockchain technology, particularly in the securing of patient data. According to a recent healthcare data breach by the HIPAA Journal, 692 data breaches were reported between July 2021 and June 2022, compromising the personal information of over 42 million individuals. This is a worrying trend, given the sensitivity of medical data. report But with blockchain in the picture, it is now possible for the healthcare industry to reduce the cases of data corruption through decentralized and tamper-proof data logs. Already, several startups have sprung up to offer blockchain-as-a-service to the medical industry, including the likes of Akiri, Medicalchain, Guardtime, and Patientory. All these firms offer powered by blockchain technology. data security solutions “An interoperable blockchain can strengthen data integrity while better-protecting patients’ digital identities. The blockchain’s inherent properties of cryptographic public/private key access, proof of work, and distributed data create a new level of integrity for health care information.” reads a by Deloitte. report Energy and Sustainability The issue of climate change is a hot and controversial topic that cannot be ignored, regardless of which side of the fence you sit on. For context, climate change activists envision a net-zero carbon world, which means that every CO2 emission must be offset by an equivalent amount of carbon credits. As it stands, one carbon credit is equivalent to one metric ton of carbon. So, how do companies access the extra carbon credits? The most straightforward way is through an emission trading system (ETS). However, with the carbon credit demand projected to reach 1.5 to 2.0 gigatons by 2030, this market needs to be made more accessible. This is where blockchain technology comes into play, enabling the conversion of carbon credits into tokenized digital assets that can be sold in decentralized markets. While still a nascent area of innovation, several carbon credit initiatives tied to blockchain and crypto have in the recent past. One example is Universal Carbon, which claims to be the premier project introducing a tradeable carbon token that resides on a public blockchain. Ideally, users can purchase this token and choose to hold it as an investment or burn it to offset one-year tonne of carbon emissions. emerged Overall, blockchain technology through is opening up an opportunity for a larger population to participate in carbon credit markets, ultimately boosting liquidity and advancing the path toward achieving carbon neutrality. tokenization Real Estate Last but not least is the real estate market. Here, blockchain proposes several use cases, ranging from recording titles in distributed ledgers to property management automation and tokenization. The use of smart contract technology for property transactions and verifying the legitimacy of the seller not only reduces transaction costs and time but also enhances the due diligence process. However, what I find more intriguing is the aspect of , which essentially bridges the gap between the traditional real estate market and on-chain economies. Imagine being able to buy a portion of a house or a piece of land without necessarily having to own the whole unit; that's what tokenized real estate introduces - fractionalized investing. This makes the real estate market more liquid and globally accessible. tokenization For instance, suppose you wanted to sell a 200,000-square-foot property via blockchain. In that case, one can simply leverage a platform like to list the property by first securitizing it (selecting the jurisdiction of issuance and distribution). Once done, you can proceed to tokenize it and divide the property into smaller shares represented by digital tokens, enabling prospective investors to purchase the shares and own a portion of the property. Tokeny Obviously, real estate tokenization is still a grey area both in terms of development and regulatory framework. However, given the underlying potential, we are likely to see more stakeholders in this market tapping into blockchain technology. Also published . here

Building the Future: How Blockchain is Shaping Industry

Yankee Ingenuity

ইয়াঙ্কি চতুরতা

Yankee-Einfallsreichtum

Ingenio yanqui

L'ingéniosité yankee

यांकी सरलता

ヤンキーの創意工夫

양키 독창성

engenhosidade ianque

Yankee'nin Yaratıcılığı

sự khéo léo của Yankee

洋基的聪明才智

Artificial intelligence is a technology that surprised the world by evolving from a fictional tale in movies to now having a ubiquitous influence in every sphere of human life. But was this an unpredictable change? Not really. The algorithms and experiments started back in the 1950s. It built the foundation of the AI we know today, like business automation software, the infamous Alexa and one of the biggest accomplishments of AI this year - . ChatGPT This level of evolution is possible only if the right minds put on their thinking caps and begin execution in the right direction. Lets See The List of 10 AI Development Companies in USA 1. Google Cloud Google Cloud offers an array of machine learning and artificial intelligence tools for developers and data scientists. These tools can be used at every stage of the development pipeline, i.e. preparation, building, validation and deployment of AI platforms. Google Cloud’s services primarily include virtual resources and physical assets. Some tools available on the platform include , Vertex AI Workbench, Cloud Natural Language, Video AI, Vision AI, and AutoMl, to name a few. Its services extend to infrastructure development tools for building prototypes, scaling, and deploying projects. Vertex AI For instance, its Deep Learning Containers have pre-configured deep learning environments which can assist in building prototypes. And the high-performing GPUs help with scientific computing and ease specific workloads. For its remarkable vision and resources, in 2022, in Magic Quadrant for Cloud AI Developer Services. Some noteworthy clients of Google Cloud include PayPal, Gojek, 20th Century Fox, P&G and Twitter. Gartner named Google Cloud the leader Launched: April 7, 2008 Employees: 32000+ Stock Price: USD 96.94 (as of 16th February 2023) 2.  Inc. RisingMax Inc. RisingMax is one of the leading AI company, acts as a digital transformation catalyst for startups and FORTUNE-500 companies. They are obliged to assist businesses worldwide in reducing their carbon footprint and creating a sustainable future. With the strong eco-community, they support green tech initiatives and reward businesses working to build a better tomorrow. They celebrate the project's success by planting 100+ trees each time. By rewarding or compensating the plating cost, they also encourage our clients to plant at least 50 trees. 3. OpenAI Open AI is a non-profit AI research and deployment company based in San Francisco, California. Open AI’s hall of fame includes Chat GPT, DALL·E 2 and Whisper. Chat GPT is a masterpiece of conversational AI with the ability to produce unique dialogues based on inputs. DALL·E 2 can create original and realistic image compositions based on descriptions. Whisper is an automatic speech recognition tool that can go through any quality of audio in any language and transcribe it accurately. Additionally, Open AI has other development tools to offer, like GPT3 and Codex. Users can also leverage Open AI’s free content filtering, end-user monitoring and scoping of API usage services. Pacific Northwest National Laboratory, Scale Media Inc., and Stellar Science Ltd. currently use OpenAI services. As per , OpenAI aims to achieve revenue of $1 billion by 2024. With investors like Microsoft, Khosla Ventures and Reid Hoffman’s charitable foundation, the future of  AI innovation in OpenAI looks bright. Reuters Launched: December 10, 2015 Employees: 375+ Stock Price: Open AI is a private company as of February 16, 2023 4. IBM Cloud IBM is leading the AI sector with its AI technologies. IBM cloud features a list of tools, including AI and Machine learning tools, specifically . It was released in April 2010 and is still actively used to build machine learning models. Watson AI IBM Watson Assistant, Discovery, Knowledge Catalog, Language Translator, Knowledge Studio and Natural Language Classifier are some useful AI tools available on IBM Cloud. In 2020 AI market share report with the largest market share of 13.7%. IBM received the #1 ranking in the IDC IBM Cloud’s Watson AI is used by 70% of banking institutions and by some of the top companies like Panasonic, Covéa, DB Dialog & DB Systel and Humana Inc. Its use cases in multiple industries spread across 21 verticals, including insurance, aerospace, defense, banking and transportation. Launched: April 2010 Employees: 300k+ Stock Price: USD 136.4 (as of 16th February 2023) 4. Amazon Web Services (AWS) Amazon Web Services has a comprehensive set of AI and machine learning tools targeting business analysts, data scientists, and engineers, allowing them to build, train, and deploy their ML models even without ML experience. Users can engage with ML experts and utilize AWS’s consulting services to complete their projects. The platform has a list of free tier tools like Amazon Polly, , Amazon Comprehend, Amazon Translate, Amazon Lex and Amazon Transcribe. AWS boasts a partnership with industry leaders like Intel, Accenture, Deloitte and C3 AI. Amazon SageMaker AWS AI has been employed by many startups and enterprises, such as Amazon, Discovery, Intuit, Formula 1 and Cambia Health Solutions. For its successful operation, Gartner recognized it as a leader in the Cloud AI Developer services' Magic Quadrant. Launched: November 2016 Employees: 40,000+ Stock Price: USD 101.16 (as of 16th February 2023) 6. Alibaba Cloud Alibaba Cloud is one of the leaders in the cloud computing and AI industry, with tools and services for developers and enterprises. With its end-to-end solutions, such as data processing, model training, prediction and evaluation, it aims to make AI more accessible to all. Alibaba Cloud’s AI tools include technologies like Vision AI, Intelligent Speech, NLP, Interactive AI and Intelligent Marketing. Its services are spread across many verticals like finance, education, transportation and new retail. The recognized Alibaba Cloud as one of the top 3 public cloud enterprise container platforms. Companies like Newegg, Blackboard, PicsArt and Align Technology leverage the AI services of Alibaba Cloud. Forrester report Launched: September 2009 Employees: 3000+ Stock Price: USD 103.08 (As of February 16, 2023) 7. Microsoft Azure Microsoft Azure AI services create a new way to access breakthrough research in the industry. The platform’s easy API calls can help data scientists and data engineers access language, vision, speech and decision-making AI. Broadly, the Azure services include Azure Applied AI, Azure Machine Learning, Azure Infrastructure and Azure Cognitive Services, each of which can enhance business processes, accelerate performance and add an extra layer of security. Specifically, Azure offers machine learning tools like Jupyter, Notebooks and Visual Studio Code and open-source frameworks like TensorFlow and PyTorch. Besides its low-code and no-code tools, services give users access to powerful AI tools like GitHub Copilot and GPT3. Azure’s Open AI Microsoft Azure was recognized as a leader in the ‘2021 IDC MarketScape for worldwide general-purpose conversational AI platforms.’ GigaOm also positioned . Azure’s active clients include industry leaders like BBC, NHS, Twitter and NBA. Azure among the leaders in the MLOps Radar Launched: February 2010 Employees: 200,000+ Stock Price: USD 269.32(As of February 16, 2023) 8. Salesforce Headquartered in San Francisco, California, Salesforce presents a large infrastructure of AI tools for admins and developers to build, train and deploy AI projects. Einstein is the most well-known platform in Salesforce, with no-code pre-built solutions and custom AI features. It’s well known for laying a rich set of AI tools for smart apps, such as Einstein Prediction Builder, Einstein Bots, Einstein Vision, Einstein Language and Einstein Language Discovery. Salesforce has been recognized as a leader, for the 16th consecutive year, in the 2022 Quadrant™ for Sales Force Automation Platforms. Some of the well-known clients of Salesforce include notable names like Ford, Loreal, Hologic and Engie. Gartner® Magic Launched: 2016 Employees: 73000+ Stock Price: USD 171.10 (As of February 16, 2023) 9. Deepmind Started in 2010, Deepmind is a research laboratory with a team of scientists, engineers and ethicists innovating AI. It’s headquartered in London with offices in other parts of the world like Canada, France and the United States. , The company achieved success early on when its AlphaGo program became the first to beat the professional Go Player. After partnering with Google in 2014, Deepmind was able to develop programs that detect eye diseases. According to BBC Its innovative AI is used to personalize recommendations in Google Play and predict patient deterioration in the U.S. Department of Veterans Affairs. Launched: 2010 Employees: 1000+ Stock Price: USD 96.94 (As of February 16, 2023) 10. Samsung Samsung is bringing forth its research in AI to build innovative solutions and smart devices. Samsung’s AI is currently focused on AI Fundamentals, Language and Voice AI and Vision AI. The company has expanded to five countries and established 7 AI centers in Korea, the UK, Canada, Russia and the USA. At , the company unveiled its vision of innovating technology with AI-based semiconductors. Samsung became one of the first to create AI chips using Synopsys AI software. These AI chips, called the , are used in most of the Samsung smartphones built today, like the Galaxy S20 and the Note 10 Lite. Samsung AI Forum 2022 Exynos Today, the company’s list of smart devices also includes the AI EcoBubble washer, which analyzes the patterns and determines the best washing cycle for its users. Launched: March 1938 Employees: 266,000+ Stock Price: 63,700 KRW (As of February 16, 2023) 11. Neuralink Neuralink is a neurotechnology company based in the US and owned by Elon Musk. The company's purpose is to find the brain-computer connection and build a chip that can be implanted surgically in the skull. The chip will be called the N1 chip with an 8mm diameter and electrodes and insulation for the wires. In 2021, Neuralink made a showing a monkey with a brain chip playing a video game. According to , the chip may help bring back someone’s eyesight and fix any damage to the brain. video Musk Founded: 2016 Employees: 300+ Stock Price: USD 0.000008668 (As of February 16, 2023) Final Words: What Is the Future of AI? From AI software writing an entire novel to a chip that can control humans using an app, AI innovations are not easy to comprehend. But these companies have the resources, the skills and the determination to build something big in this direction. Our list of the Top AI development companies includes the leaders that are commanding the AI industry today. Soon, AI will take over every sphere of our lives and become an indispensable aspect of every business.

Top 10 AI Development Companies in USA

10 empresas de desarrollo de IA que lideran la innovación en IA en 2023

10 sociétés de développement de l'IA à la pointe de l'innovation en IA en 2023

10 एआई विकास कंपनियां 2023 में एआई इनोवेशन का नेतृत्व कर रही हैं

2023 年の AI イノベーションをリードする AI 開発企業 10 社

10 empresas de desenvolvimento de IA líderes em inovação de IA em 2023

10 công ty phát triển AI dẫn đầu về đổi mới AI năm 2023

2023年引领人工智能创新的10家人工智能开发公司

GHG-removal is a $10trln annual market opportunity that is yet to be tapped by new investors, innovators and entrepreneurs. It would be fair to admit that there have been some positive signals in the GHG-emissions problem resolution recently. European climate law increased the EU-goal to cut emission by 55% by 2030 (compared to 2005) instead of former 40%. US Inflation Reduction Act aims to raise almost $800bln towards things like energy security and climate change programs over the next ten years. There’s an increasing global adoption of the Carbon Boarder Adjustment Mechanism that would touch almost all the countries that want to trade with the US, EU, Canada, or Japan. The list goes on… But UN says that despite all the changes, humanity is the set targets, even those that governments set themselves (like Nationally Determined Contributions). still missing Even if we were on track to meet the targets set, it would still to prevent the environmental catastrophe. be not enough Unfortunately, it seems, the situation is even worse. The point is that all the targets focus on preventing the new emissions, that are being produced each year, that, after showing a by 6,4% (or 2,5bln tons) in 2020 (the largest-ever historical decline as the pandemic halted global economic activity) – stroke a new record this year (reaching (GT)). slight decrease 58 gigatons But what about the GHG-emissions, that have already accumulated in the atmosphere? That are not dissipating on their own due to the exceeded natural abilities of Earth of doing it itself? According to (2022.11.20) - the atmospheric CO2 concentration increased 2.5 parts per million (ppm) in 2021 and is projected to increase by around 2.5ppm in 2022, resulting in global atmospheric concentrations of 417.2 ppm on average for the year. This represents an increase in atmospheric CO2 of around 51%, relative to pre-industrial levels. World Economic Forum But what exactly are the preindustrial levels? (2022.06.23) states that before the Industrial Revolution started in the mid-1700s, atmospheric carbon dioxide was 280 ppm or less. That means that currently there's an 137.2 ppm excess. Climate.gov So, how does this figure compare to the emissions we produce every year? To calculate this we'll need to use the conversion formula from the - each part per million of CO2 in the atmosphere represents approximately 2.13 gigatonnes of carbon, or 7.82 gigatonnes of CO2. Carbon Dioxide Information Analyses Center That means that the overall excessive amount of the CO2 accumulated to this moment is 137.2 * 7.82 = 1 072,904 gigatons of CO2 (so, about 20 times more, that we've produced only this year). What's more, according to – In 2016 CO2 was accountable only for 74,4% of total GHG-emissions worldwide (the others being: methane – 17.3%; nitrous oxide – 6.2%; and other emissions (F-gases – HFCs, CFCs, SF6) – 2.1%). Using this proportion we could add 34,4% on top of the CO2-emissions to approximately calculate the overall amount of accumulated GHG-emissions – 1 442 gigatons of CO2 equivalent (CO2e). Our World in Data To understand even further how big the problem is, let's use the most common tool to do it - money. The price of emissions There are different ways to calculate the carbon price, but most usually the price, used in the emissions trading systems is used. The price of emissions allowances (EUA) traded on the European Union's Emissions Trading System (ETS) was 85.22 euros per metric ton of carbon dioxide on . The highest carbon price during 2022 was on August 19, at 98.01 euros per metric ton. A study published by (2022.09.01) found that the USA's value of one tonne of carbon dioxide should be $185 – almost four times the current cost of $51. December 1, 2022 Nature So, if we use these figures to calculate how much we need to pay to remove all that excessive GHG-emissions out of the air we'll get $73,55 - $266,78 trillion dollars needed to do this (again, so that you can imagine how big these figures are, compare it to the global GDP – in 2022 it is predicted to be . $103.86trln So, it seems to be impossible to remove all those GHG-emissions in an instant, but we still understand that we have to do it till 2030, or at least 2050 (to prevent the catastrophe). If we choose the latter, then the average annual price (market volume) would be from $2,63 to $9,53 trillion dollars. What about the future? (2018.08.27) predicts that by 2050 CO2 levels will reach 550ppm in a business as usual scenario and (2022.06.23) estimates that by 2100 we could reach even 800ppm levels. Carbonbrief.org Climate.gov If current economic growth, demography, and emissions intensity trends continue, the level of annual emissions will continue to rise, reaching . 62 GT by 2030 Why bother? Global GDP could drop by 18% over the next 30 years in the case of non-action on climate change, . 200 of the largest global companies that they will collectively incur $1T in climate change-related costs if they do not take measures to address it at present. according to Swiss Re estimate But that's only if we don't do anything, and we are doing a lot of things, at least something, right? Like renewable energy, forcing the main pollutants to abate their emissions, at least partially, with taxes and limited carbon allowances, increasing the regulatory scrutiny with reporting and etc?.. Well, yes, of course. But those things have their limits. For instance, the share of U.S. power generation from renewables is going to increase only from . Plus, there are “hard-to-abate” industries that account for more than of global emissions. 21% in 2021 to 44% in 2050 30% So, that leaves approximately half of the newly produced emissions by 2050 to be removed, meaning that the emissions removal market is not going to drop at least by 2050. How much market is already taken? Almost none. , that, probably, we capture less than 0,1% of GHG-emissions we produce. That leaves a great potential for creative minds, great engineers to focus their attention on tackling these challenges - and that means, innovations, investments and business! Experts say What are the main GHG-removal technologies? names the following GHG-removal methods: World Resources Institute natural strategies like tree restoration and agricultural soil management; high-tech strategies like direct air capture and enhanced mineralization; hybrid strategies like enhanced root crops, bioenergy with carbon capture and storage, and ocean-based carbon removal expands it like this: American University planting massive new forests (afforestation/reforestation) using no-till agriculture and other practices to increase the amount of carbon stored in soils (soil carbon sequestration) creating charcoal and burying it or plowing it into fields (biochar) capturing and sequestering carbon from biofuels and bioenergy plants (bioenergy with CCS or BECCS) spreading crushed rocks over land to absorb carbon dioxide from the air or exposing them to carbon dioxide-rich fluids (enhanced mineralization) building machines that would suck carbon dioxide directly out of the atmosphere and bury it (direct air capture)oceans-based methods, including: spreading alkaline materials, such as lime, over the ocean (ocean alkalinization) fertilizing selected areas of the ocean by spreading nutrients, such as iron, over the surface (ocean fertilization), fertilizing selected areas of the ocean by pumping nutrient-rich waters from the depths to the surface (artificial upwelling), accelerating the transport of carbon to the ocean depths by pumping surface waters downward (artificial downwelling) And where do corporations invest? First, it’s carbon utilization. When carbon is not only removed, but also utilized to some useful purpose – like fuels construction or other made from emissions (i.e. LanzaTech (nearly 2bln valuation) and Solidia (nearly 1bln valuation), Pure Earth (Nasdaq acquired a majority stake. Besides utilization does the direct capture and storage, sells the CO2 removal certificates), Twelve ($200mln of investment)). And then we have a lot of corporations investing in carbon removal in this or that way. In April 2022 Stripe launched a . It’s been funded as well by Alphabet, Shopify, Meta, McKinsey, and tens of thousands of businesses using Stripe Climate. The company has committed to buy an initial $925M of permanent carbon removal by 2030. It has now contracted to buy non "conventional" carbon removal from 14 different start-ups. It’s crucial to notice that it applies an intentionally non-efficient approach to buying carbon removal. On average, Stripe paid a “couple hundred dollars a ton” to remove carbon dioxide, but its purchases ranged from $75 to $2,052 a ton. That’s because they want to help startups to invent new ways with the high scaling potential in the future! Frontier Climate At COP26 there’s was a launched. Alphabet, Microsoft, and Salesforce pledged $500 million to new climate tech that’s supposed to pull carbon dioxide out of the atmosphere to keep it from heating up the planet (like the Frontier – through advance purchase commitments by 2030). It aims to tackle hard-to-abate emissions, to decarbonize the heavy industry and long-distance transport sectors responsible for 30% of global emissions. More than 50 companies have joined, including: Amazon, Apple, Airbus, BCG, Bank of America, Delta, Deloitte, Ford, FedEx, Nokia, SAP, Scania, DHL, EY, PWC, Volvo, Western Digital, Bain & Company, Boeing, Schneider Electric and Maersk. First Movers Coalition In addition, Microsoft launched a (that invests in carbon reduction and removal tech). So far, they’ve invested in (planting trees); - sustainable agriculture); Moreover, Microsoft has purchased of metric tons of carbon offsets from 15 organizations in FY 2021, and is going to increase the volume by 5mln gradually by 2030. $1B Climate Innovation Fund NCX ReGrow 1.3 millions Amazon has its own $2Bln . Has made 20 investments so far, including (planting trees) and - controlled environment agriculture. Additionally, Amazon has a $100M Right Now Climate Fund (that, among others, invests in restoring forests). Climate Pledge Fund Pachama Hippo Harvest Apple has a $200M fund (with Goldman Sachs and Conservation International) to invest in planting forests and other carbon removal initiatives. Climate tech funding in 2022 more than a quarter of every venture dollar invested in 2022 with US$15-20 billion range per quarter. In 2021, start-ups targeting sectors that are responsible for 85% of emissions attracted just 39% of investment. In 2022, start-ups in those sectors attracted 52% of climate tech investment. represented But, of course, that’s only the beginning. Investments would have to rise to tens or even hundreds of billions, we’ll see many gigacorns (startups that have a $1bln valuation but at the same time remove 1 gigaton of GHG), and, who knows, maybe even a $1trln company – not an unfair price for saving the world, right? :)

GHG-Removal Could Be the Biggest Market of the 21st Century

La eliminación de GEI podría ser el mercado más grande del siglo XXI

L'élimination des GES pourrait être le plus grand marché du 21e siècle

जीएचजी-रिमूवल 21वीं सदी का सबसे बड़ा बाजार हो सकता है

GHG 除去は 21 世紀最大の市場になる可能性がある

A remoção de GEE pode ser o maior mercado do século XXI

Loại bỏ GHG có thể là thị trường lớn nhất của thế kỷ 21

温室气体排放可能成为 21 世纪最大的市场

Stories, News & Mentions about GIGAIO

Gigaio’s Stories on HackerNoon

Gigaio's News & Mentions