Events

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June 17th, 1pm ET

Consumerizing Business Intelligence through Conversational Analytics

Over the last decade, organizations have failed in their efforts to become data-driven. Business users are unable to make data-led decisions because they don’t get timely insights.
At Unscrambl, our mission is to consumerize Business Intelligence. We empower business users through a new paradigm called "Conversational Analytics'', where they converse with Qbo, an AI-powered data analyst. Qbo directly connects to disparate data sources and does not require any data movement and preparation. Once connected, Qbo allows natural language conversations with the underlying data source(s) and surfaces results and automated insights in a meaningful fashion for the users. Importantly, users can access Qbo directly where they work - in collaboration with tools like Microsoft Teams. This webinar will discuss the architecture and technologies behind Qbo, some key use-cases, and business benefits that come about through the use of Qbo.

Speaker: Anand Ranganathan, Chief AI Officer, Unscrambl

Anand Ranganathan is a co-founder and the Chief AI Officer at Unscrambl, Inc. He is leading Unscrambl's product development in several cutting-edge areas, including natural language processing, automated insights, real-time optimization and decision-making, and automated marketing optimization. Before joining Unscrambl, he was a Global Technical Ambassador, Master Inventor and Research Scientist at IBM. He received his PhD in Computer Science from University of Illinois Urbana-Champaign, and his BTech from the Indian Institute of Technology Madras. He also has over 70 academic journal and conference publications and 30 patent filings in his name.

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Past Events


Consumerizing Business Intelligence through Conversational Analytics – June 17th, 2021

Opportunities for AI/ML applications – May 18th, 2021

Unshackled Venture Capital – May 6th, 2021

UConn Innovators Pitch- March 23rd, 2021

De-Stress Rx™: Individualized Strategies for Reducing Stress – February 16th, 2021

Introduction to TIP Stamford – Jan. 26th, 2021

Real Time Modeling Weather Impacts – Dec. 3rd, 2020