The enterprise is about to get hit by the generative AI hype train, as Salesforce prepares to invest in startups developing what it calls "responsible generative AI." The cloud software giant, via its Salesforce Ventures VC off-shoot, today announced a $250 million generative AI investment fund, which it said has already invested in four startups: search engine upstart You.com, which introduced generative AI smarts a few months back; Anthropic, a heavily VC-backed AI startup from former employees of OpenAI, which developed ChatGPT; Cohere, a natural language processing (NLP) startup that recently partnered with Google; and a stealthy startup called Hearth.AI. In truth, Salesforce has had a busy day at its annual TrailblazerDX developer conference, announcing a generative AI pilot they're calling Einstein GPT, which brings ChatGPT-like features to the broader Salesforce platform. This includes a new ChatGPT app for Slack, promising conversation summaries and writing assistance directly inside the enterprise communications app. ChatGPT, for the uninitiated, is a chatbot-like technology trained on large language models (LLMs) that can generate essays, poems, lyrics, articles and more from simple natural-language instructions.

We are at the cusp of a paradigm shift. NFTs will revolutionize many industries, especially the creative industry/economy. By leveraging NFTs as a tool, it will now be possible to represent everything we see in our world in a digital form, doing so with a unique immutable identity attached to the blockchain. This will give rise to new business models underpinned by these latest technologies. Vincent Harrison (Owner at IV Gallery) Nickname: "NFT Moses", mastermind behind some of the most popular "drops" at Nifty Gateway with top artists such as Beeple Runs IV Gallery, one of the leading art galleries in the US based in Los Angeles and New York Pablo Rodriguez-Fraile (Founding Partner at Polybius Capital) Founding Partner at Polybius Capital, investment fund focused on the blockchain space, founder of Museum of Crypto Art, the most successful NFT museum of the metaverse.

You could become your own worst enemy. CEOs and other managers are increasingly under the microscope as some investors use artificial intelligence to learn and analyze their language patterns and tone, opening up a new frontier of opportunities to slip up. In late 2020, according to language pattern software specialist Evan Schnidman, some executives in the IT industry were playing down the possibility of semiconductor chip shortages while discussing supply-chain disruptions. All was fine, they said. Yet the tone of their speech showed high levels of uncertainty, according to an algorithmic analysis designed to spot hidden clues in -- ideally unscripted -- spoken words. "We found that IT sector executives' tone was inconsistent with the positive textual sentiment of their remarks," said Schnidman, who advises two fintech companies behind the analysis.

Io-Tahoe is a leading Intelligent Automation (IA) software provider designed to accelerate valuable knowledge from across fragmented enterprise data. The proven Io-Tahoe IA Suite provides comprehensive services to build enterprise-scale automation to manage and govern the entire data value chain more efficiently and cost-effectively than alternative approaches. Since 2017, Io-Tahoe has built strong and long-lasting customer and partner relationships with industry leaders including Oracle, Red Hat, AWS, Google, Snowflake, and MongoDB. Io-Tahoe serves customers and developers across industries to deploy IA Workers in Banking, Insurance, Media & Telecoms, Healthcare, Government, Utilities, Retail and Energy. By providing immersive 360 view of data that needs to be applied to regulatory compliance (GHG, ESG, CSR reporting), Io-Tahoe excels in the field of data analytics.

Traditionally, only large investors had the resources to invest in the land and professional services critical to reaping the benefits of mineral rights investing in the oil and gas market. Today, artificial intelligence (AI) technology has opened that potentially lucrative industry to individuals with as little as $300 at https://www.investinbraneinc.com. Brane Inc.'s cutting-edge technology is using AI to mine the reams of inefficiently collected, paper-based data of the oil well creation process to determine future well locations. As a result, investors of this technology may benefit from the potentially profitable mineral rights investing activities in these new locations. Although the oil and gas industry experiences price fluctuations common to the commodities market, mineral rights investing for oil and gas have historically generated positive returns for deep-pocket investors.

At the center of the growing digital economy is data. Data is to the 21st century what oil was to the 20th century. In every industry, it are the companies that can use data effectively that succeed. And investing is no different. In their search for alpha generating ideas, investment managers are increasingly turning to sources of alternative financial data. But what is alternative data and how does it give fund managers an edge? The returns generated by investors can be classified as either alpha or beta.

Computer vision is an artificially intelligent technology that is rapidly growing in popularity. As this tech deals with how computers can reap high-level understanding from digital images or videos, it is becoming a part of people's everyday life. Besides having a significant impact on business transformation and consumers' lives, computer vision is starting to disrupt the global industry. The explosion in visual data, enhanced neural networks, and low-cost chips are some of the growth factors of computer vision. As a fast-evolving technology space, computer vision has attracted a lot of exposure and a great amount of investment.

A study conducted in 2018, entitled "The chatbots observatory", interviewed several hundred human resources managers about their perception of chatbots. The results of this study, conducted by a natural language processing editor, Do You Dream Up, have just been published. They are compared with the results of another study from the same observatory that interviewed commercials. While chatbots are in vogue, and most salespeople (72%) know what a chatbot is and are aware of the capabilities of this tool, human resources professionals still struggle to keep up with new technologies, with only 22% of them able to define what a chatbot is. However, those who have already heard about it, even vaguely, believe that chatbots will become widespread in human resources.

Dmitry Kaminskiy speaks as though he were trying to unload everything he knows about the science and economics of longevity--from senolytics research that seeks to stop aging cells from spewing inflammatory proteins and other molecules to the trillion-dollar life extension industry that he and his colleagues are trying to foster--in one sitting. At the heart of the discussion with Singularity Hub is the idea that artificial intelligence will be the engine that drives breakthroughs in how we approach healthcare and healthy aging--a concept with little traction even just five years ago. "At that time, it was considered too futuristic that artificial intelligence and data science … might be more accurate compared to any hypothesis of human doctors," said Kaminskiy, co-founder and managing partner at Deep Knowledge Ventures, an investment firm that is betting big on AI and longevity. Artificial intelligence in healthcare is attracting more investments and deals than just about any sector of the economy, according to data research firm CB Insights. In the most recent third quarter, AI healthcare startups raised nearly $1.6 billion, buoyed by a $550 million mega-round from London-based Babylon Health, which uses AI to collect data from patients, analyze the information, find comparable matches, then make recommendations.

As Margaretta Colangelo, Partner at Deep Knowledge Ventures, mentions in her recent article'Although pharmaceutical companies spend over $172 billion on research and development annually, over 90% of molecules discovered using traditional techniques fail in human clinical trials. Moreover, 75% of newly approved drugs are unable to cover the cost of development and some analysts predict that ROI in pharmaceutical R&D may hit zero by 2020.' If we accept that this prediction has some good chances to become reality, then we should see the AI as the Deus ex Machina in the field of pharmaceutical R&D to keep a business alive, but also give the invaluable hope of choice to some patients. In this race for life, some firms set the pace trying to test their limits in uncharted waters. Deep Knowledge Analytics, a subsidiary of Deep Knowledge Ventures, an investment fund focused on DeepTech, separates the companies that are solely dedicated to core scientific R&D out of a total of 1000 AI Healthcare companies globally. According to DKA'The barriers to entry in the AI Healthcare industry are lower than for AI in drug discovery and these companies can achieve real results with much less funding and fewer highly specialized employees.'