Sanjeev Chaube

EVP & Head – Big Data & Advanced Analytics at Vodafone Idea

Over 21+ years of B2B & B2C experience in Customer and Marketing Analytics encompassing AI & Data Science driven descriptive, predictive and prescriptive actionable insights & associated solutions as a horizontal. He possesses core competence & sound background in Machine Learning, Deep Learning Algorithms, Computer Vision, Natural Language Processing / Text Analytics, Speech recognition systems, BI and Big Data Analytics. Primary domains / verticals including Retail, CPG, Telecom, Automotive, Manufacturing & Healthcare. Build Smart & Self Learning Data driven campaigns, products, application, monetization & solutions, focused around Smart solution for Connected Devices, BI, Big Data, IOT, Cloud & Mobility at scale.

A PhD. in Applied AI & Data Science (Business Analytics & DSS), with Graduation in Statistics & Mathematics from University of Pune, India. He has participated in many National & International Conferences & also published many research papers in applications of Artificial Intelligence, Data Science, Big Data, Cloud and Business Intelligence.

Dr. Sanjeev is currently the Head of Big Data, BI & Advanced Analytics (Artificial Intelligence & Data Science Practice) where he is responsible for end to end Big Data & Advanced Analytics especially AI/ML driven strategy, innovations, solutions & delivery for Consumer, Marketing, Network, Digital, Enterprise, Data Monetization, Customer Services & Sales /Distributions functions of the Telecom giant with 300+mn Customers.

Prior to Vodafone Dr. Chaube was working for Samsung Group (HCS)as Global Practice Head & Director Advanced Analytics & Technologies for Innovations & Solutions for its Digital Transformation Services, preceded by Netlink (USA Based) & Prism (UK Based)

Dr. Chaube’s key areas of expertise are building Smart & Self Learning AI Applications & Models include Visual or Video Analytics, Digital Assistants / Bots, OCR based Digitization, IoT Solutions for Connected Devices, Social media Analytics, Autonomous Vehicle etc. that uses both structured data as well as unstructured data.

He got opportunity to provide these advanced analytics solutions to some of the key fortune 500 companies across geographies - India, USA and UK.

15:50 - 16:30

Day 2 - Knowledge Talks 29 May

Cognitive Digital AI Platform for Telecom

To improve the Customer Experience & increase profitability in telecom using Data Science, AI & Advanced Analytics Technologies. The primary objectives are improved operational efficiency, precise marketing, innovative business model & real-time analysis & decision making that stands on the pillars of Data Quality, Scale & Speed of execution.
The above has to be achieved on top of surging data from upstream systems such as Enterprise, Connected IoT Devices & Mobile Apps etc.