Building Operational Pipelines for Machine and Deep Learning

Abstract: 

MLOps holds the key to accelerating the development and deployment of AI, so that enterprises can derive real business value from their AI initiatives. From the first model deployed to scaling data science across the organization. The foundation you set will enable your team to build and monitor a growing amount of AI applications in production. In this talk, we will share best practices from our experience with enterprise customers who have effectively built and deployed composite machine and deep learning pipelines. We’ll show how they scaled their data science practice effectively, explain how they enabled continuous development and delivery (CI/CD) of data and ML intensive applications, integrated many types of data (structured and unstructured) from different sources, and set up the foundation to account for an evolving set of use cases of growing complexity. We will explain how enterprises today build their operational pipeline so that it scales along with the business, abstracting away the complexities to automatically deliver scalable and production ready deployments, and enable management of those deployments in production. The session will include real customer case studies and examples of ML pipelines in production across use cases such as fraud prediction, real-time recommendation engines and NLP.

Bio: 

Yaron Haviv is a serial entrepreneur who has been applying his deep technological experience in data, cloud, AI and networking to leading startups and enterprise companies since the late 1990s. As the co-founder and CTO of Iguazio, Yaron drives the strategy for the company’s data science platform and leads the shift towards real-time AI. He also initiated and built Nuclio, a leading open source serverless platform with over 3,400 Github stars and MLRun, Iguazio’s open source MLOps orchestration framework.

Prior to co-founding Iguazio in 2014, Yaron was the Vice President of Datacenter Solutions at Mellanox (now NVIDIA), where he led technology innovation, software development and solution integrations. He was also the CTO and Vice President of R&D at Voltaire, a high-performance computing, IO and networking company which floated on the NYSE in 2007. Yaron is an active contributor to the CNCF Working Group and was one of the foundation’s first members. He presents at major industry events and writes tech content for leading publications including TheNewStack, Hackernoon, DZone, Towards Data Science and more.

Open Data Science

 

 

 

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