Charles Givre is an unapologetic data geek who is passionate about helping others learn about data science and become passionate about it themselves. He has worked at Booz Allen Hamilton for the last five years as a data scientist for various government clientsand done some really neat data science work along the way, which hopefully saves U.S. taxpayers some money. Most of his work has been in developing meaningful metrics to assess how well the workforce is performing. For the last two years, Charles has been part of the management team for one of the company's largest analytic contracts. His responsibility has been to increase the amount of data science on the contract, both in terms of tasks and people.

James Barrat is a writer, director and producer of documentary films. He is also author of the nonfiction book Our Final Invention: Artificial Intelligence and the End of the Human Era. Time Magazine named him one of the 5 smartest people who believe AI could bring on the apocalypse and his book was named on of the 8 definitive tech books of 2013 bu Huffington Post. Be sure to check us out on www.waitwhatif.com,

Are algorithms taking over our jobs? Yes, yes they are... and that's a good thing. An algorithm is a series of steps with rules that help us solve problems and accomplish goals. And when we structure these steps and rules the right way we can automate the algorithm to establish Artificial Intelligence (A.I.). And it is this A.I. that helps us do our analytical heavy lifting so we can focus our time on doing the things that we're good at… the things we were hired to do.

Researchers from MIT have created an algorithm that can understand human visual cues, and predict the next action. This algorithm will help AI have the ability to be able to understand and predict human interaction and predict what could happen next. Hopefully, this could help in different fields in the future, like home assistants or intelligent security systems which could call the police or an ambulance immediately in case the need arises. MIT's Computer Science and Artificial Intelligence Laboratory created this deep learning algorithm. The researchers inputted different videos with human interaction onto the program and tested whether the programed actually "learned" sufficiently to be able to predict the right outcomes.

The Opening Session - Wake-up Call for Patient-Centered Radiology The SIIM 2016 Opening General Session was presented by Rasu B. Shrestha, MD, MBA, chief innovation officer, University of Pittsburgh Medical Center and President, UPMC Enterprises. The talk took the top-down approach of putting medical imaging and radiology in the context of significant macro-level changes taking place in populations, technologies, and the health care system. These changes, that UPMC is capitalizing on, highlight growing opportunities for new care models, new technologies and patient-centered care. More than ever today, this health care transformation stresses the imperative to spur changes in imaging, both incremental as well as paradigm-changing, to move toward patient-centric radiology and value-based imaging. Having lived through a century of "analog" radiology, followed by several decades of "digital" radiology, the next phase that lies ahead of medical imaging will be the phase of interoperability, analytics, and population health; one where "Context is King."

Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world's leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition. Demis will draw on his eclectic experiences as an AI researcher, neuroscientist and video games designer to discuss what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind.

How many times have you wanted to throw your phone out the window of your car because Siri couldn't understand the most basic phrases? Then a 20-minute argument develops with a series of "Hey Siri" commands followed by a string of unwanted Google searches and maybe even an iTunes song. I personally gave Siri a British accent in hopes that would somehow change things. CEO Wibe Wagemans, along with co-founders John Ball and Beth Carey, want to help AI actually understand what you say with their new company, Pat. Wagemans previously was President of Indoor Atlas, a company developing indoor mapping technology.

At least, that's what Google and so many business and tech journalists said when the search giant first faced antitrust complaints in Europe six years ago. And indeed, Microsoft had filed one of those complaints. It was also the money-weilding mastermind behind the Initiative for a Competitive Online Marketplace, a group that lobbied the European Union and helped others bring complaints against arch-rival Google. But all these years later, Microsoft has removed itself from the fight, reaching an agreement with Google that says both companies will drop all regulatory complaints against each other. And yet, Google's antitrust problems are only getting worse. Yesterday, the European Union announced a new round of antitrust charges against Google, this time pointing the finger at the company's advertising service, some of the most important tech in Google's moneymaking arsenal.

In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR).

Paul Taylor, a former Google engineer and founder and CEO of UK-based Fintech startup Thought Machine, is developing a blockchain-centric operating system, Vault OS, a modern banking engine and core software that runs on the cloud. Before delving into the blockchain space, Paul Taylor held a prominent position at Google as the head of the text-to-speech group at the search giant, responsible for the speech recognition software used in over a billion Android phones and devices used around the world. A Cambridge University academic, Taylor began working on Vault OS over two years ago at a tech start-up hub in London. The inventor and executive has a notable expertise in speech synthesis, machine learning, and artificial intelligence, as evident from his tenure in Google. There is a need to uproot and change the legacy systems used by banks in an age when security and efficiency are fundamental to core banking principles and that's where Vault OS can help with an upgrade to the system, according to Taylor.