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Kshitij Kumar
Chief Data Officer at Farfetch

Profile

How best do we leverage AI, Data Analytics, Machine Learning and Blockchain to deliver value? This is the question I strive to answer.

As an Executive Team member and Chief Data Officer at Farfetch, I define the future of Data driven retail. From personalisation driving the customer experience and infrastructure to Marketing, my teams are delivering a positive impact with Data and Machine Learning.
How do you drive business by leveraging Artificial Intelligence and Data Analytics? That is the question I strive to answer every day on my job.

Data needs to be an asset in a business’s balance sheet, and AI, Analytics and Data teams must be a full partner of the business lines, not a support function - this is my belief.

I have been an innovation, delivery and operations leader in Public and Startup companies in Data, Analytics and Artificial Intelligence.

I bring an entrepreneurial attitude, having been a C-level and a Board member, and am a hands on technologist who has also been a VP Sales, Biz Dev, and Marketing. Well versed in Blockchain, Ethereum, Crypto technologies as well as AI Machine Learning, Data Science and Data Warehousing.

Previously was VP for Data at Zalando, VP for Big Data Analytics for Ericsson, delivering products/services including Data-driven Customer Experience Mgmt, IoT Analytics (Hadoop/Spark), Artificial Intelligence, Data Science, Deep Learning. Built an exponentially growing business on all fronts - from Sales to Delivery.

Prior, I founded OTT pioneer TellyTopia in 2006, built a cutting edge product, deployed to more than 1.5 million TV sets worldwide. TellyTopia was acquired by Concurrent (NASDAQ:CCUR) in 2010. I was on the leadership team at Lantern Communications, was instrumental in Lantern's acquisition by C-COR, and ran Business Development and Technical Marketing for Transport. I was CEO at Big-Data-Gurus, TellyTopia, CanadaFlix, and held leadership positions at Concurrent (NASDAQ:CCUR), MomentumSI, C-COR (NASDAQ:ARRS).

Agenda Sessions

  • Deliver Unified Personal Experience Across All Channels with AI & Realtime Data

    10:00