To get real value from AI and machine learning, leaders must recognize the points in the business where machine-based or machine-assisted decisions can make a real difference in efficiency, cost savings, speed of response, or delivering a new line of revenue. However, most organizations do not have the foundation in place to get that data.  According to McKinsey’s latest report, Adoption of AI Advances, But Foundational Barriers Remain, “only 18 percent say their companies have a clear strategy in place for sourcing the data that enables AI work.”

MapR has reimagined the foundational layers and introduced a new layer in the stack called dataware. Dataware explicitly decouples data from the modern constructs of applications, middleware, and hardware. Please join Jack Norris, Senior Vice President, Data & Applications, and Data Scientist, Justin Vincent, for an interactive presentation about how MapR’s dataware drives innovation for machine learning and artificial intelligence. Learn about the specific components of MapR’s unique capabilities to improve efficiency and dramatically cut IT costs, such as:

• Capability to get end-to-end control over data security, data placement, data access, data tenancy, and data controls completely independent from any other layer in the enterprise IT stack.
• How dataware optimizes the entire data lifecycle – from ingestion to processing – to enable applications that simultaneously require real-time analytics, machine learning, and AI.
• Using dataware for complete flexibility in leveraging the underlying infrastructure (on-premises, cloud, or containerized infrastructure) and deployment patterns (hybrid or multi-cloud).

Jack Norris, Senior Vice President, Data & Applications, MapR

Jack drives understanding and adoption of new applications enabled by data and analytics. With over 20 years of enterprise software marketing experience, he has demonstrated success from defining new markets for small companies to increasing sales of new products for large public companies. Jack’s broad experience includes launching and establishing analytic, virtualization, and storage companies and leading marketing and business development for an early-stage cloud storage software provider. Jack has also held senior executive roles with EMC, Rainfinity (now EMC), Brio Technology, SQRIBE, and Bain and Company. Jack earned an MBA from UCLA Anderson and a BA in Economics with honors and distinction from Stanford University.

Justin Vincent, Data Scientist, MapR

Justin is a Data Scientist at MapR where he works with internal engineers, sales representatives, and clients to design machine learning workflows and deliver custom machine learning applications and artificial intelligence solutions to clients.  Before joining MapR, Justin was a postdoctoral research fellow in the Neurobiology Department at Harvard Medical School and Massachusetts General Hospital. Justin has co-authored one patent and twenty peer-reviewed publications in journals, which have collectively, garnered over 16,000 citations.  As a result, Clarivate Analytics has identified him as “one of the world’s most influential minds,” since 2014.  With fifteen years of experience working with software developers, engineers, and researchers in the medical imaging field, Justin has a celebrated background in project management, algorithm development, software engineering, statistics, and data science.  Outside of his work in science, Justin is also highly skilled in fundraising, business development and entrepreneurial experience, having ran a very successful e-commerce company.  Justin is a graduate of the Cognition, Brain, and Behavior doctoral program at Harvard University.  

This event is generously sponsored by MapR Technologies