This is part 2 of a 3 part series providing a gentle introduction to writing Apache Spark applications on Databricks. This post focuses on the tools and features that are helpful for data scientists to solve business problems instead of managing infrastructure. The big challenge for data scientists is to take a model from the prototyping all the way into production. This process is often littered with a variety of different environments, samples of data that do not reflect production data quality, and a litany of infrastructure challenges. These problems become even worse when multiple teams are restricted to sharing one cluster for all of their work.

Last week, the New York Times reported the first successful "limb reanimation" in a person with quadriplegia. Ian Burkhart, 24, had broken his neck as a teen in a diving accident. His spine was damaged at the fifth cervical vertebra, leaving him paralyzed from the shoulders down. Using nerve bypass technology that transmits his thoughts directly to his hand muscles, he has regained control over his right hand and fingers. This is the first time a brain-computer interface has been used to help an individual move his own hands.

To Succeed in the Digital Economy, Health Organizations Must Tap Digital Models That Place People First and Scale Expertise to Meet Demand, Accenture Report Finds Annual outlook predicts five converging digital trends that will shift how healthcare applies key innovations LAS VEGAS; June 16, 2016 – To succeed in the digital economy, health organizations will need to place people first and adopt strategies to scale expertise to meet changing demand, according to an annual report by Accenture (NYSE: ACN) released at the annual America's Health Insurance Plans (AHIP) Institute & Expo in Las Vegas. The industry report, Accenture Digital Health Technology Vision 2016, identified five digital forces that [Accenture predicts] will converge over the next three to five years to reshape healthcare delivery: Intelligent Automation; The Liquid Workforce; The Platform Economy; Predictable Disruption; and Digital Trust. The five digital forces Accenture identified and their likely impact on the healthcare industry are described below. The Digital Health Tech Vision 2016 from accenture Intelligent Automation According to Accenture, the health industry will increasingly embrace intelligent automation--powered by artificial intelligence (AI), robotics and augmented reality – to streamline basic tasks, such as collecting patient intake data, enabling clinicians to focus where their training and experience have the greatest value. Significant investments in intelligent automation are already underway, as Accenture's survey found that roughly seven in 10 health executives are investing more in machine learning and AI-related technologies than they were two years ago.

Alarmists may foresee a terrifying dystopian future in which robots rule the Earth with a cold, harsh, metallic grip. But a Google research paper suggests our robot friends are more likely to mess up our bedrooms than force us into indentured servitude. The paper, titled'Concrete Problems in AI Safety' lists five of the safety concerns Google has for the future of robotics. "For example, we don't want this cleaning robot simply covering over messes with materials it can't see through" the team wrote. "The authors believe AI technologies are likely to be overwhelmingly beneficial for humanity, but we also believe it is worth giving serious thought to potential challenges and risks," the paper continued.

The question asked by Alan Turing in his paper well known as "Computing Machinery and intelligence." Turing assumed that machine to be consider smart as human have to pass the "The Turing Test". The basics of the "Turing Test" is three players. Player A and B, and one of them can be artificial intelligence. And player C, that takes the part of being interrogator.

In the military world, fighter pilots have long been described as the best of the best. As Tom Wolfe famously wrote, only those with the "right stuff" can handle the job. Now, it seems, the right stuff may no longer be the sole purview of human pilots. A pilot A.I. developed by a doctoral graduate from the University of Cincinnati has shown that it can not only beat other A.I.s, but also a professional fighter pilot with decades of experience. In a series of flight combat simulations, the A.I. successfully evaded retired U.S. Air Force Colonel Gene "Geno" Lee, and shot him down every time.

Genpact (NYSE: G), a global leader in digitally-powered business process management and services, today launched its Neural Intelligence Platform that harnesses the power of artificial intelligence technologies, and brings middle and back office processing to the same level of digital automation as the front office to drive seamless customer journeys. Using a cognitive system powered by natural language processing, machine and deep learning techniques, the platform provides a versatile artificial intelligence-based capability that digitizes many business process solutions, including omni-channel management, contact center, account payable query management, and financial and accounting automation. The platform is the result of more than a decade of research and development in high performance business processing practices, recently crystallized into digital solutions through an aggressive build out of advanced technologies including robotic process automation, natural language processing, and machine learning. The platform also leverages Genpact's unique Lean DigitalSM approach that harnesses the combined power of process-centric technologies, design thinking, and deep domain expertise.

Genpact (NYSE: G), a global leader in digitally-powered business process management and services, today launched its Neural Intelligence Platform that harnesses the power of artificial intelligence technologies, and brings middle and back office processing to the same level of digital automation as the front office to drive seamless customer journeys. Using a cognitive system powered by natural language processing, machine and deep learning techniques, the platform provides a versatile artificial intelligence-based capability that digitizes many business process solutions, including omni-channel management, contact center, account payable query management, and financial and accounting automation. The platform automates and improves processes, continually learns, and even can help anticipate customers' needs. Enterprises struggle to effectively integrate digital technologies into business processes that cut across the company to deliver the right customer experience. Analytics also must drive more upstream decisions around product design, customer sentiment, and distribution chain visibility.

I just asked a bot to tell me how much I spent on coffee this past month. And a few moments later, it replied. Certainly, I drink an awful lot of coffee. After asking the bot for a bit more information, I can happily say I spent at least some of that nearly two hundred dollars on chopped fruit and the occasional pastry. The bot didn't actually explain this, but it did give me list all payments to coffee shops, which made things clear.

Soteria Intelligence is excited to announce the company's research and development focused on creating the next generation of social media threat intelligence solutions with the power to learn and become more effective over time. Instead of taking an approach that looks at combinations of keywords, conversations on a map or other social media analytics that produce a high number of recurring false positives, Soteria Intelligence is implementing machine learning to use false positives, vetted by analysts, as educational tools that continually improve system accuracy. The company is also training its system with proprietary data on past social media threats and, through the understanding of false positives and integration of historical data, combined with natural language processing, image recognition, sentiment analysis and other functionality, Soteria Intelligence is revolutionizing the way social media threats are identified and assessed. "As someone who has spent the past 10 years guiding large organizations throughout the world on complex social media initiatives while using social media analytics tools along the way, I understand where they shine and fall short. I also see what's needed to accurately identify threatening social media behavior on the horizon," stated Aaron Schoenberger, Founder and CEO of Soteria Intelligence.