This post is by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft. We are only 6 days away from PASS Summit 2016 (@sqlpass) which kicks off next Wednesday, October 26th, in Seattle. SQL PASS Summit (#SQLSummit, #sqlpass) is the world's largest and most intensive technical training conference for Microsoft SQL Server (@SQLServer) and BI professionals. But more than that, it's a conference – planned and presented by the SQL Server community for the SQL Server community (#sqlfamily). It has the most technical sessions, the largest number of attendees, the best networking, and the highest-rated sessions and speakers of any SQL Server event in the world.

Aurora Flight Sciences' Aircrew Labor In-Cockpit Automantion System (ALIAS), is mounted in the co-pilot seat of a Cessena Caravan aircraft which is preparing for take-off at Manassas Airport in Manassas, Va., Monday, Oct. 17. Government and industry are working together on a robot-like autopilot system that could eliminate the need for a second human pilot in the cockpit. But inside the cockpit, in the right seat, a robot with spindly metal tubes and rods for arms and legs and a claw hand grasping the throttle, was doing the flying. In the left seat, a human pilot tapped commands to his mute colleague using an electronic tablet. The demonstration was part of a Defense Department and industry collaboration that is attempting to replace the second human pilot in two-person flight crews with robot co-pilots that never tire, get bored, feel stressed out or become distracted.

There is a reason that Google and Yahoo were some of the earliest users of Big Data: they needed it the most to sift through the massive quantities of consumer data in order to make advertising dollars. Without Big Data, the search engines could not configure their algorithms for posting ads directly targeted at prospects. They needed to know someone just searched for "best restaurant in town" to then get ads visible for those very restaurants. However,another function was needed is joining the Big Data world with Mobility solutions: Artificial Intelligence. AI is crafting itself as an essential piece of technology by forming solutions from a wide range of data across the web and in various formats from Maps, to visual items, GEO-spacial information and subject matter expertise.

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John Dyer, Executive Director of Communications and Educational Technology at DTS, talks about the advancements of artificial intelligence and the theological and ethical implications of future development in this science.

Pure-play online grocery retailer Ocado has announced the deployment of its machine learning-enhanced contact centre, which employs an advanced artificial intelligence software model to categorise customer emails. This novel approach ensures customers are still getting that familiar human touch while also benefiting from the quick response provided by technology automation. From the contact centre point of view, the customer service representatives don't have to spend hours categorising thousands of emails manually; instead, the artifical intelligence (AI) model parses the email and provides a useful summary and a priority tag. The customer service representative can then focus on solving the customers' problems in a timely manner. "We strive to deliver the best shopping experience for all our 500,000 active customers. However, working in an omni channel contact centre can be challenging, with the team receiving thousands of contacts each day via telephone, email, webchat, social media and SMS. The new software developed by the Ocado Technology data science team will help the contact centre filter inbound customer contacts faster, enabling a quicker response to our customers which in turn will increase customer satisfaction levels," said Debbie Wilson, Ocado's contact centre operations manager.

In this week's Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, explains in detail how to use streaming IoT sensor data from handsets and devices as well as cell tower data to detect strange anomalies. He takes us from best practices for data architecture, including the advantages of multi-master writes with MapR Streams, through analysis of the telecom data using clustering methods to discover normal and anomalous behaviors. I'd like to talk a little bit about data processing in the context of telecom. In particular, what I'll be talking about is how to extend some of the ideas that we've talked about in other videos about anomaly detection to the particular case of telecom data. This is very different than some of the other data that we've been talking about.

The Billionaire, who also runs a not-for-profit artificial intelligence research company, warned that the futuristic technology could be deadly if it falls into the wrong hands. He has previously said that the research company, OpenAI, wants to "contract large corporations who may gain too much power by owning super-intelligence systems devoted to profits, as well as governments which may use AI to gain power and even oppress their citizens" but has extended that warning further. Speaking to Sam Altman, co-chairman of OpenAI, he claimed that countries would attempt to steal control away from its owner. However, Mr Musk reassured the public that AI technology would not develop a mind of its own and attack like scenes fictionalised in science fiction hit Terminator.

When I came into the workforce in the early 90's, any career connected to the computer was hot. The Internet was at its infancy. Any two or more (often just two) computers connected was called a network, which was a huge deal. Believe it or not email was the killer app. The World Wide Web was not invented yet, and when it came into the scene, finding a photo on a web page was a big deal.

Self-driving vehicles will be widely adopted by 2020, and it won't just be cars -- driverless delivery trucks, autonomous delivery drones, and personal robots will also be commonplace. Low-cost 3D sensors like Microsoft's Kinect will speed the development of perceptual technology, while advances in speech comprehension will enhance robots' interactions with humans. Computer-based learning won't replace the classroom, but online tools will help students learn at their own pace using techniques that work for them. Online teaching will increasingly widen educational access, making learning lifelong, enabling people to retrain, and increasing access to top-quality education in developing countries.