In this week’s podcast, Ken Forster interviews Milind Chitgupakar, Co-founder and Chief Analytics Officer, Modak Analytics, a boutique data engineering services company that enables enterprises to manage and utilize their data landscape effectively. Modak uses machine learning (ML) techniques to transform how analytics content is prepared, consumed, and shared.
Milind is a world-recognized expert in designing, developing, and operationalizing some of the largest data platforms in the world, including the Indian elections where the Modak team processed data for 650m voters. For the past 25 years, he has been leading numerous global Fortune 100 companies in their data-driven business transformation journeys providing thought leadership, solutions, and delivery excellence across business strategy, analytics, and modern data platforms. Milind has six approved patents in Data Management and Analytics and is part of the Guest Faculty at the Indian School of Business in Hyderabad, India.
Tune in to find out what you need to know about what this New Data Revolution means for businesses as more and more organizations are turning to big data analytics to achieve their business goals.
Connect with Milind via LinkedIn!
About Modak Analytics
Modak Analytics is a boutique services company that enables enterprises to manage and utilize their data landscape effectively. Modak uses machine learning techniques to transform how analytics content is prepared, consumed, and shared. Modak's Nabu is an enterprise product and has been covered in Gartner’s “Market Guide to Data preparation 2019”. Nabu converges data discovery, data ingestion, data preparation, data catalog, data unification, data quality, data profiling into a single enterprise platform with the metadata being the primary driver. By automating mundane and laborious data preparation tasks, Nabu significantly reduces the time it takes to develop and deploy 'data pipelines'. Our broader portfolio of services covers managed services, data governance, augmented data preparation, and governed data lake.
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