In a statement, AP spokeswoman Lauren Easton said that AP journalists "met with representatives from the Department of Justice in an effort to get information on stories they were reporting, as reporters do. During the course of the meeting, they asked DOJ representatives about a storage locker belonging to Paul Manafort, without sharing its name or location."

About Jen Booton Jen is a senior writer at SportTechie covering the many ways technology is disrupting sports. On any given day she may cover a wide variety of stories ranging from the newest virtual reality training tools for the NFL, the rise of eSports leagues and the infiltration of drones in extreme sports. Prior to joining SportTechie, Jen was a technology reporter at MarketWatch, where she covered major Silicon Valley companies, such as Apple, Amazon, Google and Facebook. Jen is a licensed skydiver who jumps out of planes, helicopters and hot air balloons for fun in her spare time. She's a former NCAA cross country athlete and currently lives in Hoboken, New Jersey.

Two years after originally announcing it, Medtronic and IBM Watson have launched their joint platform the Sugar.IQ, a digital diabetes assistant. "It is designed for people who are currently using Guardian Connect; so made for people on multiple daily injections. It is a personal assistant a little bit like Alexa or Siri," Huzefa Neemuchwala, global head of digital health solutions and AI at Medtronic, said in a Facebook live informational session. "It is an intelligent assistant that keeps track of all of your information and has all of your information in one place. Then through Watson technology we use this information to power insights so we can better manage your diabetes so that you can spend more time in range."

Verizon's FIOS fiber optic broadband keeps millions of US homes online. However, monitoring stability and reacting to faults and outages which affect customer experience takes huge amounts of resources. Until recently, Verizon primarily relied on customer feedback to understand when the speed and quality of its service was falling short of expectations. In recent years, however, following a large investment in analytics and AI-driven technology such as machine learning – in part subsumed through the company's 2017 acquisition of Yahoo! and it's research units – a different approach is bringing impressive results. Now it's predictive analytics algorithms monitor 3GB of data every second streaming from millions of network interfaces – from customers' routers to an array of sensors gathering temperature and weather data, and software which "listens in" on operational data, such as billing records.

Verizon's FIOS fiber optic broadband keeps millions of US homes online. However, monitoring stability and reacting to faults and outages which affect customer experience takes huge amounts of resources. Until recently, Verizon primarily relied on customer feedback to understand when the speed and quality of its service was falling short of expectations. In recent years, however, following a large investment in analytics and AI-driven technology such as machine learning – in part subsumed through the company's 2017 acquisition of Yahoo! and it's research units – a different approach is bringing impressive results. Now it's predictive analytics algorithms monitor 3GB of data every second streaming from millions of network interfaces – from customers' routers to an array of sensors gathering temperature and weather data, and software which "listens in" on operational data, such as billing records.

IBM is deploying sophisticated technology under its Watson Financial Services brand to improve risk management across financial firms. The initiative has several components, said Michael Curry, vice president of engineering for Watson Financial Services at IBM. "One piece is more focused on financial risk -- market, credit and liquidity risk that are associated with portfolios. The Armanta acquisition we announced a few months ago sits in portfolio management but we are applying it in other places too. "The second piece would be more operational risk, and there you have two components. One is some of the areas of financial crimes and fraud where we have our Financial Crimes Insight Engine, a platform for finding patterns of fraud and market abuse.

Fox Sports has tapped into the potential of artificial intelligence and machine learning to deliver the innovative FIFA World Cup Highlight Machine, available through its Fox Sports App and FoxSports.com. A collaboration with IBM, the Highlight Machine is enabled by the IBM Watson computer technology. It analyzes video from the FIFA World Cup archive, as well as 2018 footage, and extracts data, allowing users to search for goals, red cards, players by name and the like. It is about creating a "compelling user experience around highlights, not just in 2018 but also previously, at leat 50 years," says David Mowrey, head of product and development at IBM Watson Media. More typically, gathering this sort of data would be a task done manually by employees, but considering the scope of the World Cup, that would be impractical, and arguably impossible, Mowrey explains, because of the enormous volume of video that is involved.

A track record of prior competency that is above and beyond the norm is what hiring managers look for when they recruit "top talent", as recruiters like to say. Usually "top talents" can command a premium in the market place because everybody wants to employ them. We can equate these "top talents" to top quality stocks. You often hear dividend investors talk about how top dividend growth stocks are "always too expensive". That comment usually refers to the yield for the stock being lower than average, which in the case of a quality stock just represents a greater anticipation of future growth.

Grant and his team use machine learning to build and improve, search applications. Q: What are the keys to a successful AI/ML strategy? A: In a market like search, there is a significant opportunity for monetization with high-quality results in e-commerce and other customer-facing industries that result in demand creation. It's critical to build in functionality that can be put into production. We help by taking care of the plumbing around the lack of AI/ML talent.