--> --> --> --> --> --> --> -->
In this session, you will learn how Hybrid Theory’s team of data engineers and data scientists are ingesting billions of events per week to create multiple products using Kafka, Spark and ML.
The way of using mouse, keyboard, tablet or phone can be a great source of the information about user behaviour. Data can be gathered from a spectrum of sensors built into these devices.
In this talk we will tell about this project and the development of a novel approach to understanding user taste that had an unexpectedly large impact on recommendation accuracy. We will further share the challenges of implementing the solution, the impact on the business of the system running live for six months, and further data science projects developed in parallel with implementation.
In this talk we will tell about this project and the development of a novel approach to understanding user taste that had an unexpectedly large impact on recommendation accuracy. We will further share the challenges of implementing the solution, the impact on the business of the system running live for six months, and further data science projects developed in parallel with implementation.
This talk shows how we can use modern cryptography to fix some of the biggest problems with AI and one of its manifestations, face recognition.
In this talk, Sonal will cover some approaches for scaling data mastering within an enteprise using AI and distributed technologies like Spark.
artificial intelligence, big data, business model innovation, case studies