A recent study from PricewaterhouseCoopers (PwC) indicated that artificial intelligence (AI) could contribute upwards of $15.7 trillion to the global economy by 2030. Today’s AI prototypes, research endeavours and experiments will become tomorrow’s main-stays throughout the world.
Industries ranging from healthcare to life science to financial services expect to see some of the largest gains from different facets of artificial intelligence. Many of these industries have estimated 35%-50% adoption rates over the next three years; and these are only initial estimations. It is truly the beginning of a new era.
In this new era, Open Data Science brings together business professionals, researchers and developers alike in an unparalleled convening: Accelerate AI. This technology-meets-business conference prepares professionals for this new era. As a part of the larger ODSC conference, Accelerate AI integrates the most important technological and business aspects of developments in artificial intelligences to create a cohesive program.
Hear from and engage with top AI industry experts as they present use cases on opportunities and challenges in industries ranging from retail to fintech to transportation and more.
This year’s Accelerate AI conference in Boston in May will feature some of the leading experts in the field including the following keynotes:
Professor Gary Marcus
Scientist, bestselling author, and entrepreneur
Cognitive scientist, author, and award-winning Professor of Psychology and Neural Science at NYU Former Director of Uber AI Labs who acquired his AI startup, Genomic Intelligence
Dr. Kirk Borne
Principal Data Scientist and Executive Advisor
Dr Kirk Borne is a principal Data Scientist and Executive Advisor at Booz-Allen Hamilton where he provides leadership and mentoring to multi-disciplinary teams of data scientists. Former Professor of Astrophysics and Computational Science in the George Mason University.
Alex “Sandy” Pentland
Professor, MIT Connection Science and Human Dynamics
Professor Alex “Sandy” Pentland directs the MIT Connection Science and Human Dynamics labs and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited scientists in the world, and Forbes recently declared him one of the “7 most powerful data scientists in the world” along with Google founders and the Chief Technical Officer of the United States. He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy.
Dr. Lydia Chin, MD
Chief Innovation Officer, Institute for Health Transformation for University of Texas System
Dr. Chin is an elected member of the National Academy of Medicine and a world renowned cancer genomic scientist who had authored or co-authored over 200 peer-reviewed publications, and delivered over 300 presentations in national and international conferences. At Dana-Farber Cancer Institute where she was a professor at Harvard Medical School and a senior associate member at the Broad Institute of MIT and Harvard, Dr. Chin conducted research in areas spanning mouse models of human cancers, cancer genomics, functional genomics and personalized medicine. Outside of her laboratory, Dr. Chin participated and held multiple leadership positions in The Cancer Genome Atlas (TCGA) project in the U.S. and the International Cancer Genome Consortium (ICGC). In 2011, Dr. Chin moved to MD Anderson Cancer Center to create the first Department of Genomic Medicine with a mission to accelerate the translation of scientific advances and democratize the best care to more patients outside of academic centers through applications of technologies, data and AI analytics. In 2015, recognizing the value of real-world health and health-related data, Dr. Chin launched the Institute for Health Transformation as Chief Innovation Officer for University of Texas System to develop REDI (Real-world Education, early Detection and Intervention), an infrastructure platform for a connected healthcare delivery ecosystem. Collaborating with leaders from different industries, including PwC, AT&T and Walmart, engaging with local stakeholders from federally qualified health center to community-based programs, Dr. Chin established a prototype ecosystem in one of the poorest communities of South Texas and demonstrated how purposeful data sharing across entities and insight-driven actions can improve diabetes management for a vulnerable population. Dr. Chin believes that such platform will not only enable more effective and patient-centric chronic disease care during peacetime, but also serves as a network infrastructure for rapid responses at times of emergency. A mother of three teenagers, Dr. Chin is also an entrepreneur who has founded or co-founded 3 cancer therapeutic, biomarker and AI companies.
Chief Data and Information Officer, Cloudera
Amy O’Connor is Chief Data and Information Officer at Cloudera. She advises customers globally as they introduce Big Data solutions and adopt enterprise-wide Big Data delivery capabilities. Amy was recently named by Information Management as one of the “10 Big Data Experts to Know”. Prior to joining Cloudera, Amy built and ran Nokia’s Big Data team, developing and managing Nokia’s data asset and leading a team of data scientists to drive insights. Previously Amy was vice president of services marketing and also led strategy for the software and storage business units of Sun Microsystems. Amy has an extensive background in the Hadoop ecosystem, in building big data skills and teams, and in developing business-focused analytical use cases. She holds her M.B.A. from Northeastern University and her bachelor degrees in computer science and electrical engineering from the University of Connecticut.
Gather and engage with these prominent AI leaders and fellow industry professionals, experts and enthusiasts to learn about the latest advances across AI, and prepare yourself for the new era where technology and business intersect. See you in Boston at Accelerate AI.
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