The explosive availability of data about nearly every aspect of human activity along with revolutionary advances in computing technologies is transforming geospatial data science. The shift from data-scarce to data-rich environment comes from mobile devices, remote sensing and the Internet of Things. Nearly all of this data has components of location and time. Innovations in cloud computing and big data provides methods to perform data analytics at exceedingly large scale and speed. The development of intelligent systems using knowledge models and their impact on our insights and understanding will be focus of the Location Powers: Data Science Summit.

The Data Science Summit will be held in Tel Aviv on May 27 -28. The event is for practitioners in artificial intelligence, machine learning and data science from industry and academy. The summit is a two-day event starting on May 27th with a hands-on Workshops Day. Registration is free and open as a service to the entire Data Science community, seats are limited. The actual conference will be held on May 28th at the Tel Aviv Convention Center.

"What is the future of Artificial Intelligence (AI)?". I guess you heard this question more than once. The American writer William Gibson, said in 1993: "The future is already here -- it's just not very evenly distributed". What Gibson meant is that characteristics of that future already exists in isolated domains and it will take some time till it will be accessible to everyone. An example for that is a touch screen portable computer that existed in the healthcare industry long before the first iPhone.

I just got back from Atlanta, the host of the Microsoft Machine Learning and Data Science Summit. This was the first year for this new conference, and it was a blast: the energy from the 1,000 attendees was palpable. I covered Joseph Sirosh's keynote presentation yesterday, but today I wanted to highlight a few other talks from the program now that the recordings are available to stream. But for me personally, the highlight of the event was the keynote presentation by Dr Edward Tufte on the Future of Data Analysis. I had the distinct honour of introducing Dr Tufte to the stage, who has long been a hero of mine. Please enjoy his presentation, embedded below.

This post is by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft. Online transaction processing (OLTP) database applications have powered many enterprise user-cases in recent decades, with numerous implementations in banking, e-commerce, manufacturing and many other domains. Today, I'd like to highlight a new breed of applications that marry the latest OLTP advancements with advanced insights and machine learning. In particular, I'd like to describe how companies can predict a million events per second with the very latest algorithms, using readily available software. Take credit card transactions or loan applications, for instance.