You schedule a doctor's appointment and immediately your phone buzzes with a notification -- you're now eligible to save a few hundred bucks on your deductible. It may not be a reality quite yet, but experts at UPMC Enterprises say machine learning, advanced access to patient data, and artificial intelligence could soon make your medical care a lot more personal. "Imagine getting an alert that tells you you're close to getting a deduction," said Mohinder Dick, senior software architect at UPMC Enterprises. "I routinely get those kinds of updates from my cable company or Amazon. Why can't we get the same convenience from health care?"

"Empower bottom-up innovation and amazing things will happen." He was responsible for one of those amazing things: a way to help Spotify users discover new music called Discover Weekly. This tool launched about a year ago; it now has 40 million users and is helping to build the careers of new artists. Newett joined Spotify in 2013, initially working on a team developing a web page with personalized information, news about artists, album releases, and local concerts, along with a recommender system that offered suggestions of albums a user might find appealing. The recommendation feature, Newett recalled, seemed like a good idea, but wasn't heavily used.

The enterprise, as always, is at the forefront of virtually all the multiple technology revolutions taking place today. From Big Data and the Internet of Things to virtual infrastructure and digital business processes, IT is driving the transformation from old-style systems and infrastructure to highly available, highly intelligent applications and services. But sometimes it helps to stop for a moment and see where all this is headed and what work, and life, would be like if all of these developments come to fruition. To my mind, the most consequential advancements are coming in the areas of the IoT and artificial intelligence. How, exactly, will the world function once it has access to a global, interconnected computing environment that touches every device on the planet?

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city – in areas as diverse as transportation, health care and education - and to spur discussion about how to ensure the safe, fair and beneficial development of these rapidly emerging technologies. Titled "Artificial Intelligence and Life in 2030," this year-long investigation is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines. "We believe specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," said Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared." The new report traces its roots to a 2009 study that brought AI scientists together in a process of introspection that became ongoing in 2014, when Eric and Mary Horvitz created the AI100 endowment through Stanford.

Jibo is a robot that understands speech, has a moving body that helps him communicate more effectively, and express emotions. Jibo has cameras and microphones to make sense of the world around him, including detecting where sounds come from and recognizing and tracking people. He has a display to show images, an eye that can morph into shapes at will, and a touch interface as a complementary input modality. Jibo encompasses the ultimate human-machine interface, with the potential of becoming a new interaction paradigm. In this talk I will take the audience through a journey in making such a complex devices and the challenged faced by the sheer complexity of integrating a large number of technologies in a character robot device for the home.

Intel has announced the intent to acquire Movidius– a startup that designs mobile based vision processor chips and software and development tools--for an undisclosed amount. In a bet to bolster its hold in computer vision and machine learning, Intel is increasingly determined to invest in Artificial Intelligence (AI) business and move beyond the PC-strategy. Combined with Intel's existing assets, Movidius could potentially aid Intel with low-power, high-performance System on a Chip (SoC) platforms for accelerating computer vision applications. The deal pans out well in line with Intel's RealSense vision and strategy and will possibly see growth after the integration of VPU (Vision Processing Unit) platform for on-device vision processing by Movidius. Josh Walden, Senior Vice President and General Manager, Technology Group, Intel believes, that RealSense depth-sensing cameras allowed devices to "see" the world in three dimensions.

Intel just announced a pending acquisition of Movidius, a chip manufacturer focusing on integrated system-on-chip solutions for machine learning and computer vision. It could be a key part towards building a standalone VR headset, and more. Cylance is an innovator, and they realise one thing most cybersecurity providers don't - most new malware is just a variant of everything currently on the scene. With that in mind, and with so many different combinations of the same thing, the question becomes: how do you manage this massive amount of data?

How much of our lives will be changed by artificial intelligence? According to a new report, by 2030, large urban cities will be transformed as self-driving cars, package-delivering robots and surveillance drones become a common phenomenon of the streets. Produced by an international panel of artificial intelligence experts, convened by Stanford University, the report takes an in-depth look at how artificial intelligence is already impacting society, and how it will continuously evolve over the next 14 years. "Until now, most of what is known about AI comes from science fiction books and movies," said Peter Stone, a computer science professor at the University of Texas who chaired the panel that produced the report. "This study provides a realistic foundation to discuss how AI technologies are likely to affect society."

William Santana Li imagines a future where robots will keep Americans safe. Communities, he dreams, will take security into their own hands by investing in wheeled machines that patrol streets, sidewalks and schools -- instantly alerting residents via a mobile app of intruders or criminal behavior. "What if we could crowd-source security?" said Li, co-founder and chief executive of a robotics company, Knightscope, that hopes to eventually do just that. His question is like many posed by Silicon Valley entrepreneurs seeking to modernize, privatize and monetize services once entrusted to the government -- and it's one that has intrigued venture capitalists who have pumped 14 million into his start-up. Already, Knightscope robots are edging into the private security industry, patrolling parking lots, a shopping center and corporate campuses in California.

It's partnering with safety supplier Autoliv on a joint venture that will create autonomous driving software (including driver assistance) not just for Volvo, but for any company looking to add hands-free features to their lineups. The two firms hope to start selling driver assistance tech by 2019, and full-fledged autonomy by 2021. The alliance will help Volvo, of course, since it'll both increase the amount of work on its own self-driving vehicles and give it a way to profit from competitors. However, it should also tackle one of the greatest challenges in the industry: making driverless technology accessible. Car makers that can't afford to design their own systems could soon buy it outright and focus their attention on building the cars themselves.