As the Chief Customer Officer of Ayasdi, Sangeeta Chakraborty focuses on operationalizing AI and machine learning for some of the world’s largest enterprises – like Citi, Walmart and the US Department of Homeland Security – so they can solve their complex big data and analytical problems and automate formerly manual processes. Previously, she was VP of Professional Services for Accela, a leading provider of cloud-based civic engagement solutions for governments. She built multiple professional services practices across a number of successful startups including Digital Fuel (acquired by VMWare), Inquira (acquired by Oracle) and Interwoven. She began her career in consulting with Tata, Fujitsu and Vitria, and earned her BS in Computer Science from the National Institute of Technology in India and her MBA from UC Berkeley.
The Five Key Elements to Build, Deploy and Operationalize Artificial Intelligence at Scale
The question before companies today is not whether to become intelligent, it is a question of how and how fast. The key? Adopting and deploying an intelligent application strategy while simultaneously preparing to scale that intelligence.
In this session, Sangeeta Chakraborty will provide a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to operationalize the intelligence and how to implement a company-wide strategy to scale those efforts. She’ll pull from her experience helping tackle HSBC’s anti-laundering threats and identifying genetic susceptibilities of diseases for Mt. Sinai with machine intelligence.