Abstract: 

When building AI applications for real-time use cases, such as fraud prediction, predictive maintenance, prevention of customer churn and real-time recommendation engines, it is crucial to build your ML pipeline in a way that enables ingestion and analysis of real-time data on the fly, so that you can act upon this data in a matter of seconds to, for example, prevent fraud, or present an offer that will mitigate churn before it occurs.

In this presentation, we will review the challenges of handling real-time data in research and production environments and solutions that exists to enable you to build a real-time operational ML pipeline, that can handle events arriving in ultra-high velocity and high volume, calculate and trigger an action in seconds.

We will cover online and offline feature engineering and ML calculations in development and production, and how to monitor your real-time AI applications in production to detect and mitigate drift, using real customer case studies.

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.