LOS ALAMITOS, Calif., 25 July 2017 – Machine learning and deep learning have exploded far beyond data prediction and analysis to solving previously unsolved problems. The IEEE Computer Society will host Rock Stars of Machine Learning and Deep Learning on 12 September 2017, where experts who are driving this technology, including Janet George, Fellow/Chief Data Scientist, Western Digital/SanDisk, will share their visions of its disruptive impact to our future.
A technical leader with more than 15 years’ experience in big data platform, machine learning, distributed computing, compliers, and artificial intelligence, Janet George will speak on the topic titled “Big Metamorphosis: Spinning Up Well-Architected Stacks for Machine Learning and Artificial Intelligence.”
“Machine learning and artificial intelligence require a different treatment of data than the more traditional methods,” says George. “The topology and different dimensions of data need to be easily accessible. Distributed platforms and dynamic data structures lend themselves well to scale the models in near-real-time.” George will further discuss best practices in spinning up well-architected stacks for machine learning and artificial intelligence for scale in an industrial/enterprise setting with practical uses cases, tradeoffs, challenges, and storage layers required.
Registration is now open for the must-attend event, with early pricing packages and professional development hours available for individuals and teams.
Among the speakers and topics at this action-packed event are:
The one-day event will address all aspects of machine/deep-learning technologies, including:
