C3.ai, Inc. operates as an enterprise artificial intelligence (AI) software company in North America, Europe, the Middle East, Africa, the Asia Pacific, and internationally. The company provides C3 AI platform, an application development and runtime environment that enables customers to design, develop, and deploy enterprise AI applications; C3 AI Ex Machina for analysis-ready data; C3 AI CRM, an industry specific customer relationship management solution; and C3 Generative AI Product Suite that enables to locate, retrieve, and present information. It also offers C3 AI applications, including C3 AI Inventory Optimization, a solution to optimize raw material, in-process, and finished goods inventory levels; C3 AI Supply Network Risk, which identifies emerging inbound and outbound risks across the network; C3 AI Sustainability Suite, which helps to decrease greenhouse gas emission; C3 AI Production Schedule Optimization, a solution for scheduling production; C3 AI Financial Services Suite, which helps to minimize compliance risks; and C3 AI Energy Management solution. In addition, it offers integrated turnkey enterprise AI applications for oil and gas, chemicals, utilities, manufacturing, financial services, defense, intelligence, aerospace, healthcare, and telecommunications market. It has strategic partnerships with Baker Hughes in the areas of oil and gas market; Booz Allen to provide solutions to government, defense, and intelligence sectors; Raytheon; and AWS, Google, and Microsoft. The company was formerly known as C3 IoT, Inc. and changed its name to C3.ai, Inc. in June 2019. C3.ai, Inc. was incorporated in 2009 and is headquartered in Redwood City, California.

C3.ai

With the arrival of a landmark debt-ceiling deal in the US, we’re already seeing an influx of investor confidence returning to Wall Street. With generative AI on investors' minds worldwide, it appears that will be best positioned to reap the rewards of this upturn in fortunes for the market. artificial intelligence stocks The S&P 500 has already reached new heights that haven’t been seen since August 2022, and there may even be hope that the index can recapture much of its lost momentum in the wake of the fierce economic headwinds of 2022. At the forefront of this growth appears to be stocks exposed to generative AI platforms. “Many UBS sector analysts think that generative AI (i.e., AI that can create text, video, etc.) has the potential to intensify competitive pressures, with 18 of 32 teams expecting this outcome, while 19 see the potential for higher revenues,” claimed a team of UBS analysts . “All but one (Internet) see an opportunity for cost reduction.” fronted by Michael Briest According to , the rise in investor appetite for AI stocks has contributed to a $4 trillion rally in tech stocks in 2023. Guardian data The move has seen the combined value of technology firms listed on the Nasdaq Composite index total $22 trillion alone, which is up from $18tn at the end of last year. This means that the rise of artificial intelligence and generative AI has contributed 23% to the Nasdaq Composite over the first half of 2023. Despite significant growth in AI-facing companies on Wall Street, many leading generative artificial intelligence firms like OpenAI are yet to go public. This can make it more tricky for investors to add relevant stocks to their portfolios. So, how is such a new industry comprised largely of startups driving investor interest? Buying Into Generative AI The world of generative AI is attracting investor interest even despite the economic headwinds of 2022 continuing to persist throughout the year. “Although technology stocks have been hit hard in the market, the recession could open up opportunities for growth,” explained Maxim Manturov, head of investment advice at Freedom Finance Europe. In particular, software, AI and cybersecurity are expected to thrive once interest rate hikes have stopped.” One of the leading stars of the generative AI boom has come in the form of ChatGPT, an application that’s capable of creating high-quality text and multimedia content in response to user prompts. While the developer of ChatGPT, OpenAI, isn’t publicly traded, we’re still seeing the firm represented in the stock market through Microsoft (NASDAQ: MSFT), which holds a significant stake in the company. For investors seeking to buy into the AI landscape, there are many firms that have benefited from the emergence of generative AI by facilitating the technology. Semiconductor makers like Nvidia (NASDAQ: NVDA) and software developers have seen their share prices rapidly increase as traders continue to bet on the wider growth of the industry. Nvidia’s growth in 2023 has been seismic. The stock has rallied more than 170% in 2023 alone and is expected to become the on Wall Street. Such is the furor surrounding Nvidia that the stock has already far surpassed its 2021 peak value. latest trillion-dollar company Although Nvidia doesn’t directly create generative AI software, it’s believed that the company will with its own suite of technology geared towards making an AI-based ecosystem possible. support the growth of the industry Building More Direct Generative AI Exposure While it’s hard to look past Nvidia as one of the biggest winners from the generative AI boom on Wall Street, some other firms that are taking more of a hands-on approach to AI can also offer investors some more direct exposure to the industry. One example of an AI firm that wasted no time in going public was C3.ai (NYSE: AI), which is an enterprise AI application software company serving customers like Bank of America, Koch Industries, Baker Hughes, and the US Air Force among other key players. specializing in SAAS products Boasting the ticker symbol, AI, C3.ai has recorded gains of over 200% in the first half of 2023 and posted better-than-expected results over Q2 of the year. With a market cap of $3.8 billion, there’s plenty of room for growth should C3.ai continue to build momentum at such an impressive rate. Furthermore, the stock still sits more than 70% adrift from its post-IPO pop in late 2020, which indicates that more ambition could be facilitated by the company. Another firm worth looking out for is Baidu (NASDAQ: BIDU), which is a Chinese tech company operating as the largest search engine in the country. Having launched its , called ERNIE bot in English and Wenxin Yiyan in Chinese, Baidu has emerged as a useful player as an AI-facing stock based overseas. very own AI chatbot Given that Baidu has struggled to build stock market momentum in the wake of a 2021 peak, investors may be best off monitoring how the firm’s recent AI integration can help to bring better market fortunes before opting to buy. Keeping Mindful of Hype With popular AI-facing Wall Street stocks like Nvidia and C3.ai posting major price rallies in 2023 amidst the generative AI boom, it’s important for investors to remain wary of this latest iteration of tech-related hype. The trigger for this investor appetite for generative AI stocks has been the launch of ChatGPT, and the successful rollout of the app has paved the way for rapid growth throughout the sector. With this in mind, it’s imperative that investors exercise caution. As a new technology that’s still in its infancy, there is a great danger of projects failing to make the grade as new alternatives enter the market. With this in mind, even if generative AI can continue to strengthen, there’s no guarantee that the best stocks of today are going to continue to lead the market tomorrow. Mark Hawtin, investment director at GAM Investments, believes that the AI hype cycle has already eaten into the options available to investors today. "There's a question about where we are in that curve with AI, where the hype is so visible," . "There are ways to get exposure to the (AI) theme without picking something that is highly valued." Hawtin warned With this in mind, any investors seeking to add generative AI exposure to their portfolios should approach the industry with caution. However, there are certainly opportunities out there for those seeking to adopt more long-term investments. As always, plenty of research and a keen eye for industry developments can pave the way for a more sustainable portfolio.

Finding Opportunities in Hype: The Generative AI Boom Shows No Signs of Slowing on Wall Street

হাইপে সুযোগ খোঁজা: জেনারেটিভ এআই বুম ওয়াল স্ট্রিটে ধীরগতির কোনো লক্ষণ দেখায় না

Chancen im Hype finden: Der Boom der generativen KI zeigt an der Wall Street keine Anzeichen einer Verlangsamung

Encontrar oportunidades en la exageración: el auge de la IA generativa no muestra signos de desaceleración en Wall Street

Trouver des opportunités dans le battage médiatique : le boom de l'IA générative ne montre aucun signe de ralentissement à Wall Street

प्रचार में अवसर ढूँढना: जनरेटिव एआई बूम वॉल स्ट्रीट पर धीमा होने का कोई संकेत नहीं दिखाता है

誇大広告にチャンスを見出す: ウォール街での生成 AI ブームは衰える兆しなし

과대 광고에서 기회 찾기: 생성적 AI 붐은 월스트리트에서 둔화될 조짐을 보이지 않습니다

Encontrando oportunidades no hype: o boom generativo da IA não mostra sinais de desaceleração em Wall Street

Coşkuda Fırsatlar Bulmak: Üretken Yapay Zeka Patlaması Wall Street'te Hiçbir Yavaşlama İşareti Göstermiyor

Tìm kiếm cơ hội trong sự cường điệu: Sự bùng nổ AI sáng tạo không có dấu hiệu chậm lại ở Phố Wall

在炒作中寻找机会：华尔街的生成式人工智能热潮没有放缓的迹象

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

No-code development promises typing a line of code thanks to graphical tools that erase the complexity of programming languages. programming without What is no-code? The concept of no code refers to a software development method that hides the complexity of the application's source code. No code development tools combine different techniques: Pre-packaged graphical templates and widgets to assemble user interfaces, Drag and drop of application components to create the application's synoptic, and to combine the different steps of the processes: conversion tunnel, order tracking... Workflow automation to trigger actions based on events, such as the generation of alerts or countermeasures below a certain turnover or traffic threshold on a website. Guided in his work by a 100% graphic development environment in the logic of WYSIWYG (What You See Is What You Get), the user will be able to perform tests and proceed to several integrations until the application works as desired. Presented differently, no code defines the ability to create software without having to fill in a single line of code. What is the difference between No-code and Low-code? Globally, the applications listed in this article are part of a logic that aims to be as code-free as possible. The concept of low-code (which literally means "little code") consists in completing a no-code environment with the possibility to edit the application's source code in parallel. In the end, the simpler the no-code development tools are to use, the more limited they are. On the other hand, the more complex and low-code oriented they are, the richer they are and the more they leave the door open to so-called specific developments, off the beaten track, even innovative, and requiring coding. Specific developments that will obviously involve the intervention of programmers. The main low-code development platforms include Appian, Mendix, Microsoft (with its Power Platform), OutSystems, Salesforce, and ServiceNow. Why no-code? No code has multiple advantages. First of all, it allows business teams to create their own applications without having to rely on developers. This practice is realistic for the simplest no-code projects, for example creating an online survey with Google Forms or automated processes with Zapier and IFTTT. Two tools that capitalize on an equivalent logic: triggering actions in response to events, for example generating an alert following a software or web content update. Targeting small businesses and freelancers, the no-code platforms Strikingly, Weebly and Wix allow the creation of websites. Even if they go as far as creating online stores, they are still limited to very standard features. For example, it is impossible with this type of tool to create complex conversion tunnels involving the integration of third-party software coupled with specific management rules. How to do No-code? No code development tools allow you to create applications without having to touch the underlying code. You don't need to be a developer to use them. However, it will be necessary to have basic skills in navigation, ergonomics, and graphics. The advantage of no code? It gives business experts the possibility to automate routines, for example, to generate a response to a certain type of email or to integrate data from one software to another. It will also allow them to quickly create application mock-ups (or proofs of concept) in order to validate the development of a more substantial project that no code, due to its limitations, will not be able to address 100%. A project that will then involve the intervention of programmers. Which no-code tools? There are many no-code development tools. They can be classified into several categories: No code forms: Google Forms, Microsoft Forms... No code productivity management: ClickUp, Monday, Notion...No-code application development: Appy Pie, Builder.ai, ksaar, Quixy... No code website development: Bubble, Sitalacarte (french), Strikingly, Webflow, Weebly, Wix... No code database: Airtable, Smartsheet... Workflow automation no code: IFTTT, Microsoft Flow, Zapier... AI platform: Alteryx, C3.ai, Google Vertex, H2O.ai... What are the no-code open source tools? Faced with proprietary and paying no-code platforms and software, there is a whole series of open-source no-code development tools that can be used for free. In the same way as proprietary offers, they allow you to create applications without having to put your hands in the source code of the software. The logic is equivalent. The no-code open source development solutions are based on graphical environments allowing to visually model the interfaces, and the navigation, integrate pre-configured functionalities and assemble the associated processes. What are the low code tools? The low-code application platform (LCAP) market includes Mendix, Microsoft (with its Power Platform), OutSystems, Salesforce, and ServiceNow. These five technologies are among the leaders in Gartner's latest magic quadrant in this field. Forrester also ranks Mendix, Microsoft, OutSystems, and Salesforce as leaders in the low-code development platform segment.

No-code / Low-code: What is the Difference?

Hi Adrian, welcome to our series “Behind the Startup.” Please tell us about yourself and the story behind Cook Finance? Ishan Pandey: Hi Ishan, thank you for inviting me to the “Behind the Startup” series. My name is Adrian Peng, and I am the CEO of Cook Finance. I graduated from UC Berkeley and have worked for Oracle, C3.AI and Google previously before starting Cook. What attracted my co-founder Cage and me to create a new protocol in the DeFi space was that as DeFi infrastructures like Uniswap and Compound became more mature in 2020, we thought it was the perfect time to create a protocol that would help drive the transformation of the traditionally centralized asset management industry to a decentralized version. Adrian Peng: In recent times, one of the most common applications of blockchain technology and cryptocurrencies is Decentralized Finance (DeFi). How can DeFi be made more accessible to users around the world? Ishan Pandey: DeFi, while very popular in the crypto world, is a term that doesn’t have much awareness in the general public yet. To broaden the reach of this exciting technology, we need to make it easily understandable and, more importantly, communicate the benefits of this technology for the evolution of finance. Only then will DeFi begin to progress along the technology adoption curve that all new platforms go through. Adrian Peng: Most of the time, DeFi platforms lack the resources needed for experienced fund managers to implement their strategies in the crypto industry, leaving out an important community of people who could use them. How can we make way for convenient access to asset management without sacrificing the quality of the tools that professionals can use? Ishan Pandey: The great thing about DeFi is that the protocols being built today are largely created with the input of each respective community. So if fund managers have specific requests or tools that they would like to use they are most welcome to suggest them within the communities they actively participate in and there’s a high likelihood that they’ll be integrated into new versions of the platforms. That’s what really makes Decentralized Finance great and unlike any other form of finance, we have seen in the industry’s history. Adrian Peng: Cook Finance is building a cross-chain asset management solution for crypto investors. Can you explain how cross-chain asset management protocol works? Ishan Pandey: Cook Finance will be deployed to multiple public chains, including Ethereum, Binance Smart Chain (BSC) and Huobi Eco Chian (HECO). Fund managers are free to choose a preferred chain to initialize and manage their funds. Investors can invest crypto assets to a particular fund in exchange for LP tokens, representing partial fund ownership. The LP token or ckToken, is a fungible asset to each fund and can be exchanged among investors or redeemed for its underlying assets within the fund, similar to a share in the stock market. Powered by cross-chain bridge technologies like PolyNetwork, LP tokens can be transferred between different public chains, which gives investors exposure to the assets existing in different chains. For example, a fund manager can create a BSC index fund which consists of BSC project tokens like CAKE, and BUNNY. Investors can invest crypto assets to this fund to issue LP token ckBSCI, which can be bridged to Ethereum or HECO via PolyNetwork. Fund managers on Ethereum and HECO then can purchase the bridged ckBSCI to give their fund investors exposure to the BSC projects easily. In general, Cook facilitates composability and interoperability of funds on different blockchains. Adrian Peng: Users pay gas fees to compensate for the computational power needed to process and verify transactions on the Ethereum blockchain. How can gas fees be mitigated while also allowing access to the broadest range of assets, lending facilities, and yield sources possible? Ishan Pandey: Yes as we all have recently experienced on the Ethereum blockchain, gas fees are becoming more of an issue and we unfortunately don’t see this going away any time soon. That’s the beauty of a platform such as Cook, where once you hold our tokens, you basically can share gas fees among a large group of other people who hold the same fund as you, thereby distributing the gas cost to a larger base but having a broad range of access to all different types of funds. Adrian Peng: Please tell us a bit about how protocol transparency and security are maintained when users manage their assets cross-chain? Ishan Pandey: Proper permissions are assigned to fund managers to ensure the security of the funds in smart contracts. As a result, ckToken holders own the underlying assets in the respective fund, while fund managers can only allocate funds to whitelisted DeFi markets. All fund managers only have trading access to fund smart contracts and do not have any withdrawal permissions. All fund transactions are on-chain, so investors can easily check the fund performance history and activities. Adrian Peng: The Digital Asset Management Market is reported to witness high demand during 2020-2027. What do you think is the future of the digital asset management industry? Ishan Pandey: The transformation of digital asset management is only in the first inning right now. We have a long way to go and that’s what makes the DeFi space exciting. As we create better and better protocols collectively, we’ll quickly see which ones become the leaders through sheer community member size and this will dictate the direction in which the future of digital asset management goes. So while we see a bright future, it’s still, in the end, the community’s choice in which areas to develop in this rapidly evolving industry. Adrian Peng: How does on-chain-oracle pricing work? Further, what steps are taken to ensure there are no black swan events? Ishan Pandey: Cook uses multiple oracle services such as Chainlink, Band Protocol, Uniswap Oracle, and so forth to get asset pricing data. An aggregating smart contract will validate and reconcile data from multiple sources, preventing a single point of failure problem that an off-chain oracle solution faces when it becomes faulty or compromised. Adrian Peng: What new developments can we expect to see in the digital asset management space in 2021? Ishan Pandey: Even though most development is currently on the Ethereum blockchain within the DeFi world, gas prices have been a severe limiter to continued growth and adoption. Because of this, many protocols such as ours are exploring cross-chain and layer 2 solutions. Likely we’ll continue to see this sort of collaboration and interoperability grow in 2021 due to these gas constraints, which is suitable for developing the overall ecosystem. Adrian Peng: The purpose of this article is to remove informational asymmetry existing today in our digital markets by performing due diligence by asking the right questions and equipping readers with better opinions to make informed decisions. The material does not constitute any investment, financial, or legal advice. Please do your research before investing in any digital assets or tokens, etc. The writer does not have any vested interest in the company. Ishan Pandey, legal researcher at Karm Legal Consultants.

"We have a long way to go and that’s what makes the DeFi space exciting." - Adrian Peng

Interview with The Creator of Keras, AI Researcher: François Chollet

Everything You Need for Your Journey Into the World of Generative AI

A brief infographic at the end of this blog. AI — Artificial Intelligence is to mimic human intelligence for better life. The invention of that learn and perform actions took place in the classic times. Alongside , there were many fictional stories and dramas depicting artificial things and their immense potentials. artificial things by Calculus Ratiocinator Llull Marry Shelly’s Frankenstein? You must watch it if you haven’t. The idea behind machines being able to imitate humans, and their cognitive process like , , and finding out is, analysing sorting patterns — which means machines can simulate any process of formal reasoning (from ). Church-Turing thesis Wiki In common terms, machines can imitate anything with connected and meaningful information (datasets). Theory that backed up the brains of creators like and . Allen Newell, Herbert Simon, John McCarthy, , Marvin Minsky Arthur Samuel PDAbM — Public Display of Attention by Machine ;) When machines can’t watch someone misspelling their creator’s name, Well, these are some of the bold stories from our past around (Artificial Intelligence). If we look into AI’s present state and what we are up to — is prevailing from that are online to we have in our AI AI (Artificial Intelligence) bots things home. The best part is, we now have of helping us and r. cavalcades AI machines stay connected, informed, only do things that matte For the later ones, and objects that barely need our attention come hand in hand. automated tools Imagine the days when speech recognition will have transformed into ‘ ’. recognizing intents from eyeballs’ dilation range Or, one that is called which stores the behavioural pattern of every particle of a subject. Which on requirement lets the subject travel through the encrypted particle patterns and produces a brand new outcome. Dr. Quantum Do you still think ? that it lacks a unit of time? Here is the . time never stops Chronon Let’s quickly jump into the that are making our day-day life darn effortless! list of 50 AI (Artificial Intelligence) tools AI “This as a hitchhiker is so smart which is driving to our desired destination having our least conscious of what’s happening” Artificial Intelligence for Vision — helps you to organise media libraries Clarifai — visual analysis for medical and transport industry Cortica — image detection for a range of uses and industries Deepomatic — brand and face recognition DeepVision — makes satellite imagery useful Descartes Labs — the first intelligent cloud video platform Flixsense — computer vision for automotive and human detection FotoNation — matches similar products and helps to suggests combinations GrokStyle — facial recognition Haystack — uses facial recognition to help you decided on job candidates HireVue Artificial Intelligence for IoT/IIoT learns about shoppers behaviour in your store Black — helps to unify application development and data science C3 IoT — sensor analytics solution for businesses KONUX — machine learning for manufacturing process optimisation Imubit — a range of workflow optimisation products for fuel and industry Maana — helps you develop, deploy, and operate industrial apps Predix — helps renewable energy companies utilise their data better Planet OS — manufacturing analytics Sight Machine — automates data engineering for data science Sentenai — add a voice assistant to your connected product Snips — Artificial Intelligence for Development develop more adaptive, trusted and programmable AI models Bonsai — helps predict project timelines Deckard.ai — adds intelligent decision making to web and mobile apps Fuzzy.ai — connecting projects with the right team Gigster — augments your coding environment with web available knowledge Kite — deep learning platform for prediction and personalisation Layer 6 AI — makes developing chatbots for your business easy Morph — make your bot smarter, by helping it self learn Ozz — rapidly web and mobile app testing RainforestQA — increase server uptime and predict downtime SignifAI — Artificial Intelligence for Data Analytics — helps with sentiment analysis, search relevance, and more CrowdFlower — data science platform for prototype, deploy, and run at scale Dataiku — enterprise data science platform for R&D and production DataScience — platform for collaborating, building and deploying Domino Data Lab — makes DS accessible to analysts with Open Source algorithms Exploratory — helps you learn, work, and play with machine learning models Kaggle — makes data science teams more productive RapidMiner — helps DS teams put machine learning models into production Seldon — a platform to build, test, and deploy AI algorithms SherlockML — research engine, capable of discovering complex patterns in data Spark Artificial Intelligence for BI (Business Intelligence) LOL! behavioural AI for IoT Arimo — a suite of intelligent applications for enterprise Ayasdi — a range of products to improve enterprise products DataRobot — discovers events and breaking information before the news Dataminr — helps you to answer questions about your business Electra by Lore — a smarter Salesforce Einstein — adds intelligent decision making to web and mobile apps Fuzzy AI — helps you index, search, visualise and analyse your data Logz.io — is a framework for temporal pattern recognition and prediction NXT AI — to transform raw data into useful information automatically Paxata — Seems like a lot? There are many other routine AI technologies that give us precise and actionable data. The better the data are used, the better our future will be. If you come across any noteworthy AI technology, add them in the comments. As I promised, here is the infographic of List Of 50 Unique AI Technologies What else! Leave some 👏👏👏 :)

C3.AI

c3.ai

501-1K employees

Since 2009

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C3.AI

c3.ai

501-1K employees

Since 2009

COMPANY RANKING

C3.AI

EVERGREEN INDEX #1820

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