SoftBank shares tumble 10% after OneWeb files for bankruptcy

The Japan Times

SoftBank Group Corp. fell as much as 10 percent after a provider of satellite-based internet service that it invested in filed for bankruptcy, ceding some gains from an unprecedented plan to sell assets and buy back shares. OneWeb made the filing late Friday U.S. time after raising about $3.3 billion in debt and equity financing from shareholders including SoftBank, Airbus SE and Qualcomm Inc. since its inception. At least $1 billion of that came from SoftBank, which said it first invested in December 2016 and declined to give a total amount. It is the latest blow to SoftBank founder Masayoshi Son, who last week unveiled a plan to raise $41 billion to buy back shares and slash debt. The announcement sent the shares soaring more than 50 percent in just a few days.

Artificial Intelligence (AI) in Social Media Market 2019-2023 Need for Data Integration Solutions to Boost Growth Technavio


Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Weekly Top 10 Automation Articles - Latest, Trending Automation News


It's time for big business to embrace the public chain – as a coordination tool, rather than as a place to carry out large-scale financial transactions. The group has come up with a new way of using the public ethereum mainnet to connect firms' internal systems for resource planning. Generative adversarial networks (GANs) -- two-part AI models consisting of a generator that creates samples and a discriminator that attempts to differentiate between the generated samples and real-world samples -- have been applied to tasks ranging from video, artwork, and music synthesis to drug discovery and misleading media detection. They've also made their way into ecommerce, as Amazon revealed in a blog post this morning. Frontline healthcare employees -- nurses, call center agents, among others -- have one of the toughest jobs in America.

Buy Intel Stock Because It Dominates AI and Autonomous Driving, Analyst Says


Intel makes processors that act as the main computing brains for PCs and servers. Nomura Instinet chip analyst David Wong initiated coverage on Intel on Tuesday with a Buy rating, predicting long-term sales growth of 8% to 10% annually for the technology giant. "Intel is the world leader in processors for artificial intelligence and autonomous driving," he wrote. "We think that microprocessor growth could well be above overall semiconductor industry growth over the next decade, fueling long-term top-line growth for Intel." The analyst started his price target for Intel at $65, representing 17% upside to the current stock price.

JP Morgan doubles down on machine learning for FX algorithms - The TRADE


JP Morgan is backing the use of machine learning for the future of foreign exchange algorithmic trading, after applying the technology to its FX algos earlier this year. The investment bank launched Deep Neural Network for Algo Execution (DNA) as a tool to bolster its FX algorithms in April, using machine learning to bundle its existing algos into a single execution strategy. "DNA is an optimisation feature that leverages simulated data from various types of market conditions to select the best order placement and execution style designed to minimise market impact," said Chi Nzelu, head of macro eCommerce at JP Morgan. "It then uses reinforcement learning – a subset of machine learning – to assess the performance of individual order placement choices." JP Morgan added that in recent years, algo trading strategies such as time-weighted average price (TWAP) and volume-weighted average price (VWAP) have multiplied, forcing clients to choose from a suite of algos with various execution methods.

Built In Chicago's 50 Startups to Watch in 2020


Technology is Chicago's fastest-growing industry sector, having grown more 270 percent over the last decade, according to World Business Chicago. And 2019 was a model year that not only encapsulated the growth of technology in the city but also positioned Chicago for further success in 2020 and beyond. Influential leaders in tech launched Chicago's Plan for 2033, or P33, to enhance the city's viability as a global tech hub with a strong and diverse workforce through the next decade. Mayor Lori E. Lightfoot said on Chicago Tech Day that 15 local tech companies have added or will be adding 2,000 jobs through 2020. Uber announced it would be bringing that same number of jobs to Chicago over the next three years and spending more than $200 million annually on the city. But it isn't just major initiatives and companies with household names that will be bringing continued success to Chicago tech. Smaller startups entering the city's tech scene are shaping everything from mental health care to cryptocurrency trading to vehicle leasing. We found 50 such companies -- all less than three years old -- that are poised for growth in the coming year. Brett Quillen contributed in writing this report. Interested in Chicago tech?See all open roles on Built In CHI Arturo wants to take property risk management to the skies by using drones and satellite, aerial and ground imagery to assess residential and commercial property characteristics. The data it collects is powered by predictive analytics to give clients that lend, insure or invest in properties the ability to minimize risk and determine market patterns.

Veritone Wins 2020 Artificial Intelligence Excellence Awards


The award recognizes two of Veritone's innovative AI solutions, IDentify and Redact Veritone Inc. (NASDAQ: VERI), the creator of the world's first operating system for artificial intelligence, aiWARE, today announced that Business Intelligence Group has named Veritone as a winner in the 2020 Artificial Intelligence Excellence Awards program for its applications Veritone IDentify and Veritone Redact, both of which are powered by Veritone's aiWARE platform. "We are honored to be recognized as a top provider of AI solutions, particularly for our turnkey applications for law enforcement agencies, IDentify and Redact," said Jon Gacek, Head of Government, Legal and Compliance at Veritone. "For the last several years, our team has worked hard to provide innovative tools to accelerate workflows, save costs and valuable resources, and protect the public. This award aligns with the traction we are getting in the market and represents a huge milestone and great recognition for our team. We are excited to continue to bring innovative, pragmatic AI solutions to the table for these important sectors."

Global Artificial Intelligence (AI) Market: Investments vs Potential


Report Scope: The scope of this report is broad and covers the global markets for artificial intelligence, which is increasingly being implemented across a wide range of industries for various applications.The market is broken down by solution, end-user industry, technology and region. Revenue forecasts from 2019 to 2024 are presented for each type, technology, end-user industry, and regional market. The report also includes a discussion of the major players in each regional market for artificial intelligence.It explains the major market drivers of the global market, current trends in the industry and the regional dynamics of the artificial intelligence market. The report concludes with detailed profiles of major vendors in the global artificial intelligence industry. Report Includes: - 88 tables - An overview of the global market and technologies for artificial intelligence (AI) - Analyses of market trends, with data from 2018, 2019 and projections of compound annual growth rates (CAGRs) through 2024 - Discussion on market drivers, restraints, current trends and investments in artificial intelligence market - Knowledge about machine learning, natural language processing (NLP), context aware computing and computer vision - Assessment of current market size, market forecast, and market share analysis of the leading suppliers of the industry - Information on mergers & acquisitions, partnerships, and expansion in artificial intelligence market - Detailed profiles of key companies in the industry, including Amazon, Cisco Systems Inc., Facebook Inc., General Electric, Intel Corp., Microsoft Corp., Oracle Corp., Salesforce Inc., and Samsung Electronics Co. Ltd.

Bank of China unveils AI currency price prediction app on Eikon - The TRADE


Bank of China has launched an artificial intelligence-based forex trading signal prediction application through the Refinitiv Eikon desktop. Known as DeepFX, the tool was developed by the digital asset management division of Bank of China using deep learning technology to predict short-term price movements on major foreign exchange currency pairs. "With the unprecedented increase in market volatility across global financial markets in recent months, the Bank of China's DeepFX application is a timely and practical tool to empower users with the insights they need to navigate the turbulent FX landscape," said Nicole Chen, Head of China at Refinitiv. Bank of China said the'Lite' released version of the DeepFX app provides forecasting in real-time of FX trade signals in 5-minute intervals, while displaying back-test results within 10 days. Bank of China added the app is aimed at helping traders, quant developers, FinTech innovation heads, as well as data scientists.

Adoption of AI and Blockchain at HHS: Interview with Jose Arrieta, US Department of Health & Human Services (HHS)


Many governments worldwide are looking at using Artificial Intelligence (AI) and other cognitive technologies as part of making their operations more efficient, better serving their citizens, and increasing the range of ways they can meet their missions. It's no surprise then that the US Government and forward thinking leadership is making investments into AI technologies. Additionally, some agencies such as the US Department of Health & Human Services (HHS) are also seeing how other emerging technologies such as blockchain can help. Jose Arrieta, the CIO at the US Department of Health & Human Services (HHS), interviewed on a recent AI Today podcast episode while he was the associate Deputy Assistant Secretary for Acquisition at HHS is one such leader who sees how AI and blockchain can have a big impact at the agency. He became a program manager to build IT systems to use machine learning to analyze biographical information about people.