Agent-based models (ABMs) are fit to model heterogeneous, interacting systems like financial markets. We present the latest advances in Evology: a heterogeneous, empirically calibrated market ecology agent-based model of the US stock market. Prices emerge endogenously from the interactions of market participants with diverse investment behaviours and their reactions to fundamentals. This approach allows testing trading strategies while accounting for the interactions of this strategy with other market participants and conditions. Those early results encourage a closer association between ABMs and ML algorithms for testing and optimising investment strategies using machine learning algorithms.

The latest example, judging by the chatter in Silicon Valley, as well as on Wall Street and in corporate corner offices, newsrooms and classrooms around the world, is ChatGPT. In just five days after its unveiling in November the artificially intelligent chatbot, created by a startup called OpenAI, drew 1m users, making it one of the fastest consumer-product launches in history. Microsoft, which has just invested $10bn in OpenAI, wants ChatGPT-like powers, which include generating text, images, music and video that seem like they could have been created by humans, to infuse much of the software it sells. On January 26th Google published a paper describing a similar model that can create new music from a text description of a song. When Alphabet, its parent company, presents quarterly earnings on February 2nd, investors will be listening out for its answer to ChatGPT.

The Global Machine Learning as a Service (MLaaS) Market 2032 Industry Report is a professional and in-depth study on the current state of the Machine Learning as a Service (MLaaS) Market by QMI. The Machine Learning as a Service (MLaaS) Market is supposed to demonstrate a considerable growth during the forecast period of 2023 – 2032. The company profiles of all the key players and brands that are dominating the market have been given in this report. Their moves like product launches, joint ventures, mergers and acquisitions and the respective effect on the sales, import, export, revenue and CAGR values have been studied completely in the report. The scope of this Machine Learning as a Service (MLaaS) Market report can be expanded from market scenarios to comparative pricing between major players.

With soaring cloud revenues, plunging Windows and device revenues, and a few days into a substantial layoff, Microsoft's first-quarter results feel a bit like a quote from Dickens. The best of times: "The next major wave of computing is being born," as Microsoft reported 31 percent revenue growth in its Intelligent Cloud business, a day after Microsoft invested again in OpenAI and its chat service, ChatGPT. The worst of times: Windows OEM revenue sank 39 percent, thanks to a tanking PC market; Microsoft's Devices (Surface) revenue fell the same amount, thanks to issues launching products, reduced demand, and success a year ago. In the end, it all sort of came out in the wash, however, with net income down 12 percent to $16.4 billion and revenue sinking 2 percent to $52.7 billion. Microsoft reported $14.2 billion in revenue in More Personal Computing, its consumer business, down 19 percent, but 18 percent growth to $21.5 billion in Intelligent Cloud and 7 percent growth in Productivity and Business Processes, Microsoft's Office business.

The past several months have been turbulent for Microsoft. In December, its $69 billion deal to acquire the video game maker Activision was challenged by regulators in the United States, and last week it began laying off about 10,000 workers. On Monday, Microsoft announced a major new investment in OpenAI, the start-up behind ChatGPT and other generative artificial intelligence breakthroughs, and signaled plans to include A.I. in an array of Microsoft products. The biggest slowdown came from Microsoft's personal computing business, where sales fell 19 percent and operating income fell 47 percent. The business boomed during the first part of the pandemic.

Like many big tech companies, Microsoft is preparing for the worst after announcing plans to lay off 10,000 employees in the upcoming third quarter. It turns out that the company's second quarter was a mixed bag: It earned $52.7 billion in revenue, which was up 2 percent from last year, but a slight miss from the $52.9 billion analysts expected. Profits also fell by 12 percent to $16.4 billion, a trend that may continue throughout the year. Despite the faltering PC market, Microsoft has been riding high on cloud revenues for years, and that seems to be continuing. Microsoft's belt tightening didn't stop the company from potentially investing $10 billion more in ChatGPT creator OpenAI, yet another sign that AI is going to play a major role in its future projects. The company plans to add ChatGPT to its Azure OpenAI service soon, and it's reportedly planning to integrated that technology in Bing.

Innovation and the Pandemic Propelled Performance The 2022 TMT Value Creators Report February 28, 2022 By Simon Bamberger, Hady Farag, Derek Kennedy, Franck Luisada, Michaela Novakov, Vaishali Rastogi, and Neal Zuckerman The outsized role that technology, media, and telecommunications (TMT) companies play in modern life has made the sector a leader in creating shareholder value. From 2016 to 2021, TMT companies collectively outperformed those in many other industries in total shareholder return (TSR), according to BCG's 2022 Value Creators Report. Among our findings: The lion's share of TMT value creation came from tech players, which from 2016 to 2021 had a median annual TSR performance of 30%, more than double the median overall return of 13% for the 33 industries we studied. Of the 232 TMT companies in our sample, 70% posted a higher TSR during the period that included the peak of the pandemic, the 21 months from March 2020 to November 2021, than during the prior 21 months. Continuing on the same growth trajectory may be a challenge given recent investor anxieties about inflation, monetary policy, and moderating earnings growth.

ChatGPT is currently one of the leading topics of discussion on the internet. The artificial intelligence application is being utilized to answer questions, write reports, and also formulate software codes. Now, according to a report by Semafor, Microsoft Corp is discussing the possibility of acquiring OpenAI, the parent company of ChatGPT. The tech-industry giant is ready to pay upwards of $10 billion for the acquisition. JUST IN: Microsoft $MSFT in talks to acquire a 49% stake worth $10 billion in ChatGPT owner OpenAI.

The percentage of companies adopting A.I. has been plateauing between 50% and 60% over the past few years. Meanwhile, some leaders have shared their frustration over not yet seeing the level of returns from A.I. investments that they expected. They simply haven't been able to get it to scale. Are some companies forgoing the pursuit of A.I.? Significant returns are being realized by leading companies. There is a contingent that is seeing substantial revenue boosts and 20% or more of their earnings before interest and taxes (EBIT) come from A.I. as they apply the technology to improve decisions, speed processes, and automate mundane, repetitive tasks, freeing workers to explore innovations that can vault an organization into entirely new business arenas.

More than 450 start-ups are now working on generative A.I., by one venture capital firm's count. Five weeks ago, OpenAI, a San Francisco artificial intelligence lab, released ChatGPT, a chatbot that answers questions in clear, concise prose. The A.I.-powered tool immediately caused a sensation, with more than a million people using it to create everything from poetry to high school term papers to rewrites of Queen songs. Now OpenAI is in the midst of a new gold rush. The lab is in talks to complete a deal that would value it at around $29 billion, more than twice its valuation in 2021, two people with knowledge of the discussions said.