Research and Markets estimated that annual global sales of information technology reached nearly $8.4 trillion in 2021. At that level, IT sales made up just less than 9% total estimated global annual gross domestic product (GDP). Global IT sales tend to grow about 6.6 percent annually. For the sake of argument, let's assume that the annual IT sales growth averages 6.6 percent from 2022 through 2030. This assumption includes global GDP growth for the period averaging just over 3.0 percent annually.

According to the latest report by IDC in global spending for AI systems will reach $97.9 billion in 2023 According to the latest report by IDC, global spending for AI systems will reach $97.9 billion in 2023, up almost three times from the worldwide spending at $37.5 billion in 2019. Being the inflection point, the year 2020 is projected to be crucial in terms of innovations in the AI eco-space. Here are some of the top AI and ML emerging trends organizations should look forward to in 2020. As per Gartner, enterprises have witnessed an increase in the adoption of advanced deep learning solutions. By 2022, more than three-quarters of companies will use deep neural networks instead of the classical machine learning.

FIFTY YEARS ago investing was a distinctly human affair. "People would have to take each other out, and dealers would entertain fund managers, and no one would know what the prices were," says Ray Dalio, who worked on the trading floor of the New York Stock Exchange (NYSE) in the early 1970s before founding Bridgewater Associates, now the world's largest hedge fund. Kenneth Jacobs, the boss of Lazard, an investment bank, remembers using a pocket calculator to analyse figures gleaned from company reports. His older colleagues used slide rules. Even by the 1980s "reading the Wall Street Journal on your way into work, a television on the trading floor and a ticker tape" offered a significant information advantage, recalls one investor. Since then the role humans play in trading has diminished rapidly. In their place have come computers, algorithms and passive managers--institutions which offer an index fund that holds a basket of shares to match the return of the stockmarket, or sectors of it, rather than trying to beat it (see chart 1).

Wearable tech has been slowly gaining traction. The space has largely been dominated by fitness trackers like the ones made by Fitbit, along with watches that go beyond fitness into advanced health-tracking, productivity, and entertainment. Apple, which has become a market leader with its watch, accounts for a large part of that market – more than a quarter of all wearable devices shipped in 2018, according to IDC data. Wearables have been a growing business for the company, though it's hard to know by exactly how much since the company reports its wearable devices sales as part of a category that also includes home products and non-wearable accessories. Driving high: Police have a new device to tell if you're driving high Robots: Amazon's self-driving delivery robots are coming to California Going forward, however, Apple can expect those sales to continue to grow.

Enterprise low-code development continues to grow in popularity as software vendors continue to unveil tool enhancements designed to help business users and non-developers build functional applications and business processes. The help from low-code platforms (and other platforms that are integrating low-code capabilities) couldn't come at a better time, as enterprises continue to struggle to digitize operations and dig through their application backlogs. Consider open source digital process automation platform Bonitasoft and its recent increased support for low-code development and what the company promises to be accelerated user interface development for more customized user experiences. The platform (including a new Bonita Cloud edition) helps to enhance collaboration between professional developers and so-called citizen developers, according to the company. Recently, low-code development platform provider OutSystems announced it is adding new artificial intelligence (AI) and machine learning capabilities into its platform. The company said the enhancements provide customers the ability to help automate the creation of self-service portals, respond to text and voice queries and improve customer service.

The trio of phones will boast other features, such as facial-recognition technology, but their display size stands out--their average screen area, without accounting for a facial-recognition system that juts into the top of the display, is 23% larger than last year's three new phones and 28% bigger than the two models unveiled in 2016. Note: Screens on iPhone X and newer have facial-recognition systems that cut into the display. At a time when people are buying fewer new phones, bigger size brings two advantages. It helps Apple buoy prices and profit margins because it can sell larger phones at a greater markup than it pays suppliers for the larger screens. And it encourages people to use their phones more, helping momentum of Apple's services business, which includes app-store sales and subscriptions to video services like Netflix and HBO.

Newswire) Autonomous Research, a global research firm focused on financial services, has announced the publication of Augmented Finance and Machine Intelligence, an in-depth look at the way artificial intelligence is transforming the financial services industry. Autonomous estimates that over $1 trillion of today's financial services cost structure could be replaced by machine learning and AI. This would affect 2.5 million employees in the US alone. This shift will impact operations across all functions and segments of the financial industry, from bank tellers to portfolio managers to insurance underwriters. By 2030, Autonomous expects $490 billion in costs to be exposed to AI in distribution, $350 billion in the middle office, and $200 billion in financial product manufacturing.

LONDON--(BUSINESS WIRE)--Autonomous Research, a global research firm focused on financial services, has announced the publication of Augmented Finance and Machine Intelligence, an in-depth look at the way artificial intelligence is transforming the financial services industry. Autonomous estimates that over $1 trillion of today's financial services cost structure could be replaced by machine learning and AI. This would affect 2.5 million employees in the US alone. This shift will impact operations across all functions and segments of the financial industry, from bank tellers to portfolio managers to insurance underwriters. By 2030, Autonomous expects $490 billion in costs to be exposed to AI in distribution, $350 billion in the middle office, and $200 billion in financial product manufacturing.

"YOUR CALL IS important to us," a recorded voice tells resigned customers as they wait endlessly to speak to a human agent. AI is starting to help companies improve the quality and consistency of their service in order to persuade customers that they do in fact care about them. Ocado, a British online grocer, receives around 10,000 e-mails from customers every day and uses AI to detect the prevailing sentiment in them. It now replies to the most urgent ones first, and is planning to route complaints to agents with expertise in the relevant field. "Like other applications of AI, it's about trying to make humans more efficient, not take them out of the process entirely," says Paul Clarke, Ocado's chief technology officer.

If most people were asked how much their privacy is worth, they'd likely say it's priceless. User logins for many of the most popular apps sell for next to nothing on the dark web, a shadowy corner of the internet that's frequented by criminals, drug users, arms dealers and is often the grounds for all kinds of illicit activities. Now, a recent report from content marketing agency Fractl has found out just how much your data is worth on the dark web. A report from content marketing agency Fractl has found out how much your data is worth on the dark web, including your Facebook login, which can be purchased for just $5.20 The price of user privacy has been cast into the spotlight in the wake of Facebook's massive data scandal, which led to 50 million users' data being harvested without their knowledge. Facebook has since announced that it would notify all users whose data was misused by British research firm Cambridge Analytica or any app developers who are found to have mismanaged users' personal information.