If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Over the past few years, the business world has increasingly turned towards intelligent solutions to help cope with the changing digital landscape. Artificial intelligence (AI) enables devices and things to perceive, reason and act intuitively--mimicking the human brain, without being hindered by human subjectivity, ego and routine interruptions. The technology has the potential to greatly expand our capabilities, bringing added speed, efficiency and precision for tasks both complex and mundane. To get a picture of the momentum behind AI, the global artificial intelligence market was valued at $62.35 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 40.2% from 2021 to 2028. Given this projection, it's not surprising that tech giants such as AWS, IBM, Google and Qualcomm have all made significant investments into AI research, development, disparate impact testing and auditing.
Businesses that trust AI to operate will leverage different kinds of data input and infuse automation into how they extract insights. The year began with an ambitious data mandate for organizations: leverage data analytics and AI techniques to keep up with the competition and increase efficiency. Pressed by the challenges of a redrawn business landscape, leaders searched for guidance in their data and analytics toolkit. In the pivot to distributed work, AI helped field rising help desk requests from a mobile workforce. Data analytics informed leaders in near-real time how consumption patterns shifted, helping manage supply chain constraints.
AI technology is associated with making machines and related processes intelligent through the use of advanced computer programming solutions. The AI technology market is poised to grow at a robust pace driven by its increasing adoption in an expanding range of applications in varied industries. The growing need to analyze and interpret burgeoning volumes of data and the escalating demand for advanced AI solutions to improve customer services are expected to fuel growth in the AI market. With significant improvements being seen in data storage capacity, computing power and parallel processing capabilities, the adoption of AI technology in various end-use sectors is on the rise. The rising adoption of cloud-based services and applications, rapid growth of big data, and the increasing need for intelligent virtual assistants are also contributing to the rapid growth of AI market.
The graph represents a network of 4,147 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 October 2021 at 20:43 UTC. The requested start date was Monday, 25 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 3-hour, 27-minute period from Wednesday, 20 October 2021 at 20:33 UTC to Monday, 25 October 2021 at 00:00 UTC.
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Abacus.AI, the two-year-old startup that is developing "hybrid" neural network forms of deep learning, on Wednesday announced the company has obtained $50 million in venture capital financing in a Series C round, lead by private equity firm Tiger Global Management. The company now has received $90.3 million in financing. Tiger Global is joined by returning investors Coatue Management and Index Ventures, as well as Alkeon. "A large chunk of it will goes to R&D and engineering and science," explained Bindu Reddy, co-founder and CEO of the company, in an interview with ZDNet via Zoom. "We continue to want to be the best of breed in AI and ML platforms."
Artificial intelligence (A.I.) is heavily used in Big Data and when it comes to the analysis of customers' behaviour. There's also anti-money laundering (AML) AI; it's used to fight financial crime and guard the reputation of app providers. FinTech is about trust, after all. How exactly is it done and how can you benefit? Because cybercrime is serious, there is a special word for it in the financial world.
Silicon Valley is not a milieu known for glamour and charisma. Still, Peter Thiel has cultivated a mystique. A billionaire several times over, Thiel was the first outside investor in Facebook; he went on to co-found PayPal, the digital-payment service, and Palantir, the data-intelligence company that has worked with the U.S. government. He has co-written a business best-seller, "Zero to One," and launched a hedge fund; he now runs three venture-capital firms. In 2018, citing a regional intolerance of conservative perspectives, he moved from Silicon Valley to Los Angeles; he recently purchased a mansion in Miami Beach.
Today, Informatica is going public, once again. The company, which went private in a $5.3 billion deal back in 2015, expects to raise $841 million on this round. Informatica's emergence from private equity comes as the company has transitioned to a cloud-first business where subscriptions have climbed to nearly half of overall revenue. Informatica's journey into private equity has been a familiar one: a company seeks to transform its core business without the pressure of having to deliver quarterly results to Wall Street. It's a well-trod path that has been followed by a wide range of household names, and most recently in the data world, Cloudera.