TensorFlow business case study showcase

Deepak Bhadauria is a technology manager at Google, where he’s working with Google’s partners to bring TensorFlow-enabled AI transformation to enterprises.

Saurabh Mishra is applied AI practice lead at Quantiphi with 8+ years of experience is delivering machine learning and applied AI solutions. He’s responsible for managing Quantiphi’s partnership with Google Cloud and leading business development and delivery for US East Coast.

Upendra Sahu is a machine learning engineer at Quantiphi who has a knack for solving complex problems and experience in designing and building robust end-to-end ML solutions. He brings a mixture of developer and entrepreneurial spirit. He’s developed several AI-driven projects in the fields of computer vision and natural language processing (NLP). In his free time, he enjoys solving puzzles.

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Bhushan Jagyasi is an AI research scientist at Accenture, leading the speech intelligence area within Accenture’s Artificial Intelligence Group in India. He also heads the AI solutions for chemicals, natural resources, energy, and utilities industries. Previously, Bhushan was with TCS Research Labs on agritech initiatives. He’s keenly interested contributing toward AI for Good and innovating for the societal benefits. Bhushan holds a PhD from IIT Bombay, and he was a recipient of MIT’s India TR35 Young Innovator award in 2010.

David Beck is a practice leader and Google Cloud Platform Partner at Cognizant and is the main liaison for the TensorFlow partnership. He was one of 600 leaders selected for Cognizant’s small business incubator program developing ML and natural language processing (NLP) for healthcare companies. Previously, he’s held executive roles at startups and Fortune 500 companies across a variety of industries. David has led large-scale, customer-facing teams in innovative front office transformations for both clients and employers, yielding breakthrough results.

Rahul Sarda is the global practice head, big data, and distinguished member at Wipro, where he has supported the world’s largest consumer device firm in the US, successfully delivered secured big data enabled real-time complex-event processing platform that caters to real-time millions of messages and allows data scientists to plug and play various domain-specific machine learning models and workflows for fraud detection, recommendations, etc. This platform also provides a secured semantic data layer on a Hadoop platform to perform data exploration and discovery for data scientists on the petabyte-scale historical data generated through these events. Rahul is a recognized thought leader on the information management platform covering big data, enterprise data warehouse, predictive analytics, and enterprise application integration areas, helping organizations formulate strategies to leverage information as a strategic corporate asset for competitive differentiation. He’s played enterprise architect roles and worked with multiple customers on building and supporting the data strategy for them, including Apple, NV Energy, Capital One, ZNA, UBS, Pfizer, etc. He’s supported strategy around big data platforms for various industries, including manufacturing, energy, retail, supply chain, media, telecom, banking, and insurance.

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