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bhagya
VP AI & Data
About
Dr. Vinod Ebinezer is a highly experienced Director of Customer Success in Artificial Intelligence, currently working for a confidential company. With over 17 years of relevant experience, he has a deep understanding of industries, challenges, and use cases for AI, and an ability to bring together data science and business needs to address client challenges and solve them, demonstrating the whole value chain from data to business results. Dr. Ebinezer has a proven track record of defining, developing, and establishing go-to-market strategies for AI and Big Data offerings. He has driven relationships with customers at the senior management level, facilitated working sessions with partner and client teams, and worked with sales teams to provide subject matter expertise and solutioning support for important client proposals and RFPs, being comfortable presenting to a C-Level business audience. In his past role as a Big Data & AI Senior Solutions Lead for APAC at Microsoft, Dr. Ebinezer defined, developed, and established the go-to-market strategy for AI and Big Data on Azure Cloud offerings. He was responsible for leading a team of data scientists and analysts to deliver advanced analytics-based solutions, managing the health of the sales pipeline for the AI offering in terms of sales origination and attainment on an ongoing basis. Dr. Ebinezer has also worked as a Chief Artificial Intelligence Officer for Quantum AI Tech, where he was involved in building artificial personalities and working on conscience and emotions for real AI. He has designed various business technology capabilities and implemented Proof-of-Concepts based on a combination of diverse distributed technologies for a variety of business-critical use cases within the DB. He has also built blockchain-based solutions to reduce/eliminate the multi-layered black market in ticketing, established industry working groups to augment the Financial Industry Business Ontology standard for AI-based smart contracts, and built AI-based corrosion detection systems for the oil and gas industry and automotive industry. Dr. Ebinezer has a deep knowledge of technical solutions and use cases around machine learning, deep learning, cognitive processing, virtual assistants, robotics, and more. He has a degree from St. Josephs High School and is skilled in AI, data science, blockchain, Azure, deep learning, ML, Ethereum, smart contract, computer vision, NLP, and big data integration.
Education Overview
• st josephs
Companies Overview
• qdt analytics
• ncs group
• microsoft
• opentext
• schlumberger
• equinix
• jp morgan
• trigent software inc
• outback india
Experience Overview
21.4 Years
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