A woman uses her smartphone near a booth for the Chinese Internet company Tencent at the Global Mobile Internet Conference in Beijing. The company is now preparing to take a firm lead in AI practices. Yet in the midst of uproar and angst, China tech company, Tencent has decided to draw a firm line in the sand and took the opportunity while at the recent Cannes Lions Festival to outline a strategic approach that just may be a huge game-changer in corporate standards around AI practices now and in the future. Delivered onstage by Seng Yee Lau (known as S.Y.), Tencent's Senior Executive Vice President and Chairman, Tencent offered a bold strategy around Tech for Good that, if the company can fully execute, will continue to make it one-t0-watch as a massive global player in the technology space. While the company may have missed its most recent earnings target when it reported figures last month, Tencent still reported adjusted earnings of 32 cents per share on revenue of a whopping $12.69 billion, up 16 percent from a year ago.

Technology news website The Information reported earlier this month that the iPhone maker was considering acquiring the firm as a move to bring aboard some of its engineering talent to boost Apple's own self-driving efforts. One of hundreds of startups pursuing autonomous vehicles, Drive.ai had been running a small fleet of test shuttles in Texas, The Information reported. But the startup told California regulators that it plans to lay off 90 people in a permanent closure. The San Francisco Chronicle earlier reported the closure. In Silicon Valley, it is common for larger companies to acquire struggling startups primarily to hire their engineers, a move known in the industry as an "acqui-hire."

Blue Prism yesterday announced the acquisition of Thoughtonomy, a SaaS-based integrated automation platform with Blue Prism RPA baked into its core. After six years and much flirting with potential suitors, Terry Walby's Thoughtonomy successfully exits into the welcoming arms of Blue Prism. This was always the logical end-game for Terry's business, which he bootstrapped from day 1 and tirelessly pushed at the automation world. HFS was particularly inspired with the firms work at the UK's National Health Services (NHS) (which you can read here). Essentially Thoughtonomy is RPA cognitive capabilities cloud.

Healthcare Cognitive Computing market report is based on present industry situations, market demands, business strategies utilized by prominent players involved in this market along with their growth synopsis. This report has been segmented into types, applications and regions. The report also comprises major drivers boosting this market. Healthcare Cognitive Computing market worth about XX million USD in 2018 and it is expected to reach YY million USD in 2026 with a CAGR of AA% during the forecast period. Cognitive computing (CC) describes technology platforms that are based on the scientific disciplines of artificial intelligence and signal processing.

EcoFactor is one of several startups with a cloud computing platform to manage and analyze data from smart thermostats and other home energy devices. But it also specializes in using that data to monitor and predict performance problems and impending failures of the air conditioners keeping houses cool. That kind of technology could have a lot of value to the companies that make heating, air conditioning and ventilation equipment -- enough to make it worth owning. On Tuesday, HVAC giant Trane announced it has acquired EcoFactor's energy analytics software for an undisclosed sum. Trane, a brand of Ingersoll Rand, plans to integrate EcoFactor's "unique artificial intelligence (AI) capabilities for energy efficiency and HVAC fault detection" into its existing Nexia home automation line.

British companies that fail to invest in artificial intelligence soon are at risk of losing 20pc of their cash flow, McKinsey has warned. New figures claim that AI could boost the UK economy by 22pc in the next decade by making companies more productive, and fast-moving businesses could stand to grow in value by 120pc if they invest in AI tools. A new report produced by the consultancy's business and economics research arm McKinsey Global Institute has claimed the UK is "potentially more AI-ready compared with the global average", but could miss out on the opportunity if investment does not occur. "The United Kingdom has impressive pockets of innovation but is failing to scale to business more broadly," the report stated. It cited DeepMind, which was bought by Google for £306m in 2014, and Magic Pony, which was taken over by Twitter in a £102m deal in 2016, as examples of these pockets.

Investment banking is seeing its historical profit centers eroded by technology and regulations. Core processes are being automated or commoditized. From IPOs, to M&A, to research and trading, investment banks are getting smaller, leaner, and scrambling to keep up with innovations. In 2006, investment banks were at the top of the finance world. With torrential growth and return on investment (ROI) driven largely by the trading of complex financial instruments, Lehman Brothers, Bear Stearns, Goldman Sachs and others achieved record profits and awarded unprecedented bonuses. Over the next two years, everything fell apart. Download the free report to learn how core processes of this financial service are being automated or commoditized. After the collapse of Lehman and Bear Stearns and the global financial crisis that ensued, the business models of the world's biggest investment banks needed to change. In the US, legislation emerged to forbid investment banks from prop trading, or trading with their own capital, and forcing them to keep more capital on hand. This regulation reduced trading profits and created a need to cut costs, spurring investment banks to spin off unprofitable divisions or eliminate them entirely. While the rules against prop trading have more recently been loosened, the restriction has still changed how investment banks operate. Moreover, as more and more companies raise large equity rounds they're also choosing to delay public offerings. And even when major tech companies do decide to go public, some, like Spotify and Slack, are doing so mostly without the help of banks. As a result, banks are facing dropping IPO profits: they generated just $7.3B in revenue in 2017 from equity capital markets, which includes IPOs, down an inflation-adjusted 43% since 2000's peak, according to the Wall Street Journal. At the same time, financial upstarts have built technologies that could eventually cut into the relationship-driven work that investment banks are used to doing. Instead of working with a bank to make an acquisition, you can use Axial -- the so-called "Tinder of M&A," for its algorithm-based approach to matching companies with potential buyers. In 2015, 26% of $1B mergers and acquisitions took place without the help of external financial advisors, up 13% from the year before, according to Dealogic.

In modern times, talking about artificial intelligence is no longer science fiction; it is a reality more than palpable. The daily life of people is mostly supervised by artificial intelligence, whether it is found in social networks or the one used by governments as national security systems, to mention two. However, how can artificial intelligence influence today's economy?, Can this change the direction of the world economy?, We can start answering these answers today with certain echoes that occur around the world, as a week ago AICoin invested in a pioneer startup in Artificial Intelligence technologies for health in the United States of America, since AIcoin uses the profits of cryptocurrency operations to acquire capital holdings in Artificial Intelligence (AI) startups. The deal is as follows, AICoin, through Tessier-Ash pool PTE Ltd. is the main investor in this round of financing of US $ 2,000,000 and will acquire a position on the Sevamob board of directors. Sevamob, a provider of platforms enabled by artificial intelligence for medical care in organizations, and part of the Innovations in Healthcare program at Duke University, is one of the new companies that uses technologies such as artificial intelligence and telemedicine in clinics emerging from light assets, to provide superior primary medical care to marginalized populations at a cost up to 50% lower.

ABBYY, a global leader in Content IQ technologies and solutions, today announced it has signed an agreement to acquire Philadelphia, Pennsylvania-based TimelinePI. TimelinePI provides a comprehensive process intelligence platform designed to empower users to understand, monitor and optimize any business process. The global process analytics market size is expected to grow to USD 1,421.7 million by 2023 according to Research and Markets. The acquisition of TimelinePI is a strategic investment by ABBYY into the emerging process intelligence market which is critical to truly understanding the impact and effectiveness of business processes and opportunities for productivity gains from digital transformation investments. TimelinePI's vision of combining the most versatile process mining and operational monitoring with cutting-edge, process-centric AI and machine learning will serve as a critical cornerstone to ABBYY's Digital IQ strategy.

SoftBank Group saw its operating income increase by 81% over the year to March 31, 2019, driven by its SoftBank Vision and Delta Funds more than tripling their operating income. Here's how it's related to artificial intelligence, how it works and why it matters. Overall, the SoftBank conglomerate took in ¥9.6 trillion in sales, an increase of 5%, from which it made ¥2.35 trillion in earnings before interest and taxes, up 81%, and ¥1.4 trillion of net income. Broken down, both of its telcos in the form of Sprint and SoftBank Corporation contributed around ¥3.7 trillion in sales, with Yahoo Japan making ¥947 billion in sales, and others making up the remaining ¥1.2 trillion. For operating income, the SoftBank Vision Fund hit ¥1.26 trillion, SoftBank made ¥725 billion, Sprint contributed ¥280 billion, and Yahoo Japan made ¥135 billion.