Microsoft beyond AI and into how the world is presented in conjunction with data and intelligence. In theVerge: " ... Satya Nadella bounded into the conference room, eager to talk about intelligence. I was at Microsoft's headquarters in Redmond, WA, and the company's CEO was touting the company's progress in building more intelligent apps and services. Each morning, he told me, he puts on a HoloLens, which enables him to look at a virtual, interactive calendar projected on a wall of his house. Nadella appeared giddy as he described it.

Has A CEO BOT been BORN? Apparently, my thoughts on this subject have become "timely." With that said, I shall jump in with "both feet." That's generally my strategic plan once I make a decision. I wrote this and never posted it a few weeks ago, but when this article from Stan Choe came out, CEO Pay in 2015: When a 468,449 raise is typical, I decided to go ahead and hit the publish button. There are a lot of reports and links that provide numbers on the percentages and increases in executive salaries versus "the rest of the company."

Google DeepMind has announced its second collaboration with the NHS, as part of which it will work with Moorfields Eye Hospital in east London to build a machine learning system which will eventually be able to recognise sight-threatening conditions from just a digital scan of the eye. The five-year research project will draw on one million anonymous eye scans which are held on Moorfields' patient database, reports Ars Technica, with the aim to speed up the complex and time-consuming process of analysing eye scans. From the report:The hope is that this will allow diagnoses of common causes of sight loss, like diabetic retinopathy and age-related macular degeneration, to be spotted more rapidly and hence be treated more effectively. For example, Google says that up to 98 percent of sight loss resulting from diabetes can be prevented by early detection and treatment. Two million people are already living with sight loss in the UK, of whom around 360,000 are registered as blind or partially-sighted.

Dealer Eddie Stivers owes a debt of gratitude to an Internet sales associate known only as "Eva." Her efforts to engage leads on behalf of Stivers Ford-Lincoln, of Montgomery, Ala., have boosted sales 36 percent on the new-vehicle side and 25 percent on the used-vehicle lot since January 2015. Moreover, Eva never calls in sick, and she is available 24 hours a day, seven days a week, every single week of the year. In reality, she is an "it" -- a sophisticated piece of technology. Eva is merely the name of the virtual persona Stivers and his team have integrated into their sales process using an artificial intelligence-based sales program known as the Conversica Automated Sales Assistant.

Scientists have developed a new artificial intelligence system that can detect early forms of Alzheimer's disease by combining machine learning methods with a special MRI technique. Machine learning is a type of artificial intelligence that allows computer programmes to learn when exposed to new data without being programmed. Researchers coupled machine learning methods with a special magnetic resonance imaging (MRI) technique that measures the perfusion, or tissue absorption rate, of blood throughout the brain to detect early forms of dementia, such as mild cognitive impairment (MCI). "MRI can help with the diagnosis of Alzheimer's disease. However, the early diagnosis of Alzheimer's disease is problematic," said Alle Meije Wink, from the VU University Medical Centre in Amsterdam.

It's no secret that the healthcare system in this country has had a few hiccups in recent years. Whether it be the long lines at emergency rooms or the expensive bills that hit you where it hurts, getting sick is one of the most costly and unpleasant experiences in the US. And with rising medication prices, the problem is only getting worse. Fortunately, one company has taken matters into their own hands by utilizing artificial intelligence to expedite the medication distribution process. And it seems to be working.

Elon Musk, owner of SpaceX, Tesla, and the only guy more Ironman than Rob Downey Jr, worries about smart computers taking over the world. Maybe he's right, but AI (or Artificial Intelligence for those of you acronym fatigued), is already a lot closer to home. I see it every day in my digital marketing life, exposed to machine learning that both scares and comforts me. Here are 5 ways I see AI racking up big wins in the digital marketing space and why you should be worried if you're on the sidelines: Win 1: AI decisioning Know what computers do really well? In a world of real time, always on marketing, the ability to constantly learn what content, campaigns, offers, channels, you name it, a customer is engaging with, and conversely not engaging with (read: the Fail Fast bit), means that AI gets smarter and smarter about decisions like what NOT to talk to individual customers about and how NOT to deliver the message.

It's impossible to talk about artificial intelligence without mentioning IBM's Watson. A pioneer in cognitive computing, the American computer giant has found multiple health applications for Watson. Pascal Sempé, senior sales consultant for Watson Health Solutions in France, explained how Watson functions and what's at stake. Pascal Sempé: Watson is a tool that helps the doctor, certainly not one that tells the doctor what to do. Using Watson doesn't mean the doctor won't examine patients or ask questions.

The complex passenger flows, demanding identification challenges and pressure-filled security conditions that are inherent in border control make the arena appear an interesting prospect for artificial intelligence-based solutions that can revolutionise critical processes. Machine-learning technologies being developed could identify risk patterns at speeds way beyond humans' capacity, and when tied with the powerful security offered by biometrics, AI's potential to disrupt the world of borders expands even further. What then is the future for the border guard? Will their decades of document security expertise and nuanced instincts be made rendered obsolete by a'border bot'? Planet Biometrics caught up with Cyrille Bataller, Artificial Intelligence lead at Accenture, to learn about his team's AI initiatives for borders and about his views on the importance of a "people-first" approach.

Satya Nadella bounded into the conference room, eager to talk about intelligence. I was at Microsoft's headquarters in Redmond, WA, and the company's CEO was touting the company's progress in building more intelligent apps and services. Each morning, he told me, he puts on a HoloLens, which enables him to look at a virtual, interactive calendar projected on a wall of his house. Nadella appeared giddy as he described it. The system was intelligent, productive, and futuristic: everything he hopes Microsoft will be under his leadership.