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From predicting and identifying disease to revolutionizing the way we work, the next few decades will tell the story of the rise of machine learning and intelligence.

MEDIA ALERT: Renowned Healthcare Leaders Using Artificial Intelligence to Transform the Delivery of Care Featured at Pepperdine Graziadio Future of Healthcare Symposium

LOS ANGELES--(BUSINESS WIRE)--Mar 20, 2019--Pepperdine Graziadio Business School will host its 5th annual Future of Healthcare Symposium on March 21, 2019 at The Ritz-Carlton in Marina del Rey.

Speakers at this year’s symposium, Healthcare Leadership in the AI Revolution: Opportunity in the Smart Machine Age, will discuss industry changes that leaders will need to know in order to navigate the smart machine age and the introduction of artificial intelligence to the healthcare space.

What: The 5th Annual Future of Healthcare Symposium brings together influential thinkers and experienced practitioners to discuss the opportunities and challenges with using artificial intelligence and technological innovations to improve healthcare efficiencies, access to care and patient outcomes.

Eric Topol, MD is one of the leading innovators in medicine today, specializing in the use of artificial intelligence, “deep” data, and smart technology in the practice of individualized medicine.

will discuss how bringing to life new business models and proofs of concept, smart technology is generating progressive clinical trials and enhancing patient experiences and outcomes.

Kim Kamdar, PhD, a partner at Domain Associates, has been involved in cutting-edge therapeutic start-ups and has been a major part of identifying companies with promising molecular and companion diagnostics to support personalized medicine.

Prior to starting Science 37, Dr. Tan joined a team of physicians to build the nationally scaled telemedicine company DirectDerm, whose services have improved health outcomes throughout central California.

panel focuses on how input (data reliability, validity and potentials for bias) designates output from live case studies as well as how ethics and evidence-based decision-making are leading the way in healthcare.

Samuel Seaman, PhD is a professor of decision sciences at the Graziadio Business School, where he teaches graduate courses in applied statistics and evidence-based decision analysis using mathematical models to solve dilemmas in economics, finance, healthcare, and marketing.

The Graziadio School advances experiential learning through small classes with distinguished faculty that stimulate critical thinking and meaningful connection, inspiring students and working professionals to realize their greatest potential as values-centered leaders.

Stanford Aims to Make Artificial Intelligence More Human

The essential thing is to ensure that as machines become more and more intelligent and are capable of carrying out more and more complicated tasks that otherwise would have to be done by human beings, that the role we give to machine intelligence supports the goals of human beings and the values we have in the communities we live in, rather than step-by-step displacing what humans do. Second,

the bet that the institute is making here at Stanford is that the advancement of artificial intelligence will happen in a better way if, instead of just putting technologists and AI scientists in the lab and having them work really hard, we do it in partnership with humanists and social scientists. So

HAI we want to put philosophers and anthropologists and economists and political scientists in the lab with the technologists,so that ethical values and social scientific frameworks are baked in, to the extent possible, to the very development of artificial intelligence. What

The essential thing is to ensure that as machines become more and more intelligent and are capable of carrying out more and more complicated tasks that otherwise would have to be done by human beings, that the role we give to machine intelligence supports the goals of human beings and the values we have in the communities we live in, rather than step-by-step displacing what humans do.

Second, the bet that the institute is making here at Stanford is that the advancement of artificial intelligence will happen in a better way if, instead of just putting technologists and AI scientists in the lab and having them work really hard, we do it in partnership with humanists and social scientists.

At HAI we want to put philosophers and anthropologists and economists and political scientists in the lab with the technologists,so that ethical values and social scientific frameworks are baked in, to the extent possible, to the very development of artificial intelligence.

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