Machine Learning Success: The Key to Easier Model Management

Presented by

Ellen Friedman PhD, Principal Technologist, MapR

About this talk

Listen to Ellen Friedman, co-author (with Ted Dunning) of a new short O’Reilly book Machine Learning Logistics: Model Management in the Real World, to look at what you can do to have effective model management, including the role of stream-first architecture, containers, a microservices approach and a DataOps style of work. Ellen will provide a basic explanation of a new architecture that not only leverages stream transport but also makes use of canary models and decoy models for accurate model evaluation and for efficient and rapid deployment of new models in production.

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Data is changing the world. Data is everywhere. Digital and business transformations are underway to harness the power of data. We believe that data is now a company’s most important asset. Businesses must use all data, while being nimble and agile to create new opportunities, products and services. A new generation of intelligent and modern apps are characterized by using data of all types, many processing engines, and being able to do analytics and applications, together, as the data happens. Last gen and even newer technologies cannot meet these new data demands. A unique and groundbreaking approach is needed which combines essential new technologies with one platform for all data that creates a data fabric for companies to build great new products. MapR Data Technologies, a visionary Silicon Valley based enterprise software company, has pioneered one platform for all data in every cloud. This approach is the industry’s first modern data system. At the core is the MapR Converged Data Platform that enables simultaneous analytics and applications as data happens so companies can create new, intelligent and modern apps to outperform the competition.