A machine learning and data science pipeline for real companies

A machine learning and data science pipeline for real companies

Wednesday, June 20
2:50 PM - 3:30 PM
Meeting Room 230A

Comcast is one of the largest cable and telecommunications providers in the country built on decades of mergers, acquisitions, and subscriber growth. The success of our company depends on keeping our customers happy and how quickly we can pivot with changing trends and new technologies. Data abounds within our internal data centers and edge networks as well as both the private and public cloud across multiple vendors.

Within such an environment and given such challenges, how do we get AI, machine learning, and data science platforms built so our company can respond to the market, predict our customers’ needs and create new revenue generating products that delight our customers? If you don’t happen to be our friends and colleagues at Google, Facebook, and Amazon, what are technologies, strategies, and toolkits you can employ to bring together disparate data sets and quickly get them into the hands of your data scientists and then into your own production systems for use by your customers and business partners?

We’ll explore our journey and evolution and look at specific technologies and decisions that have gotten us to where we are today and demo how our platform works.

Presentation Video

SPEAKERS

Ray Harrison
Enterprise Architect
Comcast Cable Communications
Ray is an architect and technical leader for Comcast's Enterprise Big Data ecosystem and collaborates to define strategic direction for the company's valuable data assets. He brings 25 years of experience in cable and telecommunications in both startups and fortune 50 companies to deliver next generation systems that build positive customer experiences and revenue generating products for the company. He is an avid amateur wildlife and landscape photographer and enjoys traveling and spending time with his family in the beautiful state of Colorado.
Prashant Khanolkar
Principal Architect Big Data
Comcast
Prashant Khanolkar is a Principal Big Data Architect at Comcast with the dX (Data eXperience) team and is focused on key initiatives such as Open Ingest and Open Egress to make Big Data universally available to everyone within the enterprise and make it easy to onboard and consume datasets by building an easy to use self service platform that integrates technologies such as Streamsets, Kafka, Presto and AWS Athena. He has more than 25 years of IT experience around the Cable and Telecommunication industry building mission critical applications using a diverse array of database technologies both relational and NoSQL. He previously worked with reputed consulting companies such as PriceWaterhouseCoopers (PwC) and Coopers and Lybrand.