Artificial intelligence and machine learning pioneers are rapidly expanding on techniques that were originally designed for natural language processing and translation to other domains, including critical infrastructure and the genetic language of life. This was reported in the 2021 edition of the State of AI Report by investors Nathan Benaich of Air Street Capital and Ian Hogarth, an angel investor. Started in 2018, their report aims to be a comprehensive survey of trends in research, talent, industry, and politics, with predictions mixed in. The authors are tracking "182 active AI unicorns totaling $1.3 trillion of combined enterprise value" and estimate that exits by AI companies have created $2.3 trillion in enterprise value since 2010. One of their 2020 predictions was that we would see the attention-based transformers architecture for machine learning models branch out from natural language processing to computer vision applications.

Artificial intelligence and machine learning pioneers are rapidly expanding on techniques that were originally designed for natural language processing and translation to other domains, including critical infrastructure and the genetic language of life. This was reported in the 2021 edition of the State of AI Report by investors Nathan Benaich of Air Street Capital and Ian Hogarth, an angel investor. Started in 2018, their report aims to be a comprehensive survey of trends in research, talent, industry, and politics, with predictions mixed in. The authors are tracking "182 active AI unicorns totaling $1.3 trillion of combined enterprise value" and estimate that exits by AI companies have created $2.3 trillion in enterprise value since 2010. One of their 2020 predictions was that we would see the attention-based transformers architecture for machine learning models branch out from natural language processing to computer vision applications.

The Securities and Exchange Commission (SEC) is poised to put a damper on Special Purpose Acquisition Company (SPAC) IPOs and mergers: it deepened its investigation into potential conflicts of interest in SPAC underwriting processes, and brought charges against prominent SPACs. Find below an analytical digest of the AI SPAC's state of affairs. A special purpose acquisition company (SPAC) is a company with no commercial operations that is formed strictly to raise capital through an IPO for the purpose of acquiring an existing company. IPO investors have no idea what company they ultimately will be investing in.) SPACs seek underwriters and institutional investors before offering shares to the public.

Investing in AI can help a business grow, while generating enterprise value. In this article, five experts provide their advice on how businesses can use AI to improve their business and products. "Businesses that deploy AI can expect sales growth through more precisely targeted and relevant customer engagements, more rapid scalability across business operations and greater productivity," says John Michaelis, an expert in the practical aspects of using AI and an experienced business consultant. He is also an active angel investor and board advisor for early-stage AI companies. He provides three essential tips for using AI to grow your business and generate enterprise value.

The coronavirus pandemic has radically changed demand for products and services in every sector, while exposing points of weakness and fragility in global supply chains and service networks. At the same time, it has been striking how well and how fast many companies have adapted, achieving new levels of visibility, agility, productivity, and end-customer connectivity--while also preserving their cash. Leading retailers have boosted their e-commerce capabilities, delivering food to thousands of customers confined in their homes. One European healthcare provider abandoned its two-year plan for the rollout of e-health services and deployed the new remote treatment system to thousands of patients in only ten days. The virus has shown that, when they align around a common purpose, operations teams can achieve goals that would have been considered impossible before the crisis. As they plan their transition to the next normal, companies are looking for ways to maintain this sense of purpose and speed.

Companies that combine in-house innovation with investments in artificial intelligence (AI) and collaboration with outside partners saw their enterprise value grow an average of 4.2% since 2013, compared to 2.3% for those that did not invest in such things, according to new research from Accenture. Accenture defines enterprise value as a measure based on market capitalization, debt and cash positions. Overall, the research found that just 17% of the 200 companies Accenture evaluated -- the Fortune 100 and the Intelligent 100 -- are high-performing "collaborative inventor[s]" while more than half of the companies were seen as "observers." Accenture Research estimates companies that move from "observer" status to "collaborative inventor" could see their firm's enterprise value increase by an average of 90%. Accenture found companies must converge and integrate technology, data and people to achieve high success.