Presentation: Predictions, Machine Learning, Data Lakes, and Data Readiness

PRESENTATION

2016 - IIOT, Advanced Analytics, & Big Data Forum

Predictions, Machine Learning, Data Lakes, and Data Readiness

Industrial organizations face growing challenges such as a transitioning workforce, lower commodity prices, and increasing O&M pressures. The promise of predictions has loomed for decades, and the promise of machine learning, data science, and big data make it seem within grasp. Element Analytics provides a web-based platform that helps customers transform raw, real-time operational data into a form that data scientists can use to perform analytics quickly and repeatably. During this talk, Sameer (Founder and VP of Product at Element Analytics) will discuss how to think through and demonstrate outcomes using Machine Learning, Predictive Analytics, Data Lakes, and how to get business results out of these digital trends.

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Industry

  • Oil & Gas

Company

Element Analytics

Speaker

Sameer Kalwani

Sameer is the Founder and VP of Product at Element Analytics, where he oversees product strategy, design, and marketing. Element Analytics organizes industrial data into an accessible and useful form, and provides actionable insights that help people make better decisions for greater efficiency, profitability, and sustainability. Previously, Sameer was CTO & Head of Product at Sarvajal, an innovative water utility with distributed water treatment plants. His patented solutions reduced Sarvajal’s O&M costs by >60% and consumer water price by 60x. His products have been recognized with Frost & Sullivan's Enabling Technology Award of the Year and as FastCo’s Top 10 Most Innovative Products. Earlier, Sameer aided industrials in managing their IT/OT stacks during M&A activities as a consultant. He also has experience in Enterprise IT, Investment Banking, and manufacturing. Sameer holds a BS in Electrical Engineering and BS in Cognitive Psychology from University of Illinois, Urbana-Champaign, and an MBA from Harvard Business School. In their free time, he and his wife enjoy exploring regional cuisines in their hometown of San Francisco.