Anthill Inside Miniconf – Pune

The surge in the availability of large datasets, processing powers and the ability to process the data in real-time has opened up a plethora of opportunities in which Machine Learning algorithms can harness this power to build intelligent, real-time applications.

This talk will focus on how can we apply Machine Learning models to streaming data in real-time to derive insights.

Outline

• Discuss the current-state-of-affairs for deploying Machine Learning models
• Discuss shortcomings of this approach
• Discuss the value of streaming data
• Brief introduction to Apache Kafka and Streaming applications
• Discuss how to use Apache Kafka to use ML models in real-time
• Demonstrate how we use a Demography Prediction model in real-time

Speaker bio

Jayesh leads the Personalisation team at Hotstar. He has been building streaming applications using Apache Kafka for the last 4 years. At Hotstar, the personalisation team builds Machine Learning models for its 150 million users and delivers it real-time. He can be reached on Twitter at @jayeshsidhwani

Slides

https://speakerdeck.com/jayeshsidhwani/building-intelligent-real-time-applications-using-machine-learning