The time for enterprises to gain market advantage through artificial intelligence is now. By 2021, Gartner projects that 40% of new enterprise applications implemented by service providers will include AI technologies. Already many AI-enabled advances are transforming business processes and customer experiences, but the vast majority of AI-enhanced use cases are still to be discovered, developed, and deployed.
In order to discover and capture the value available through deployed AI, new deep learning techniques are the focus of feverish research and development in academia and business. However, even successful AI experiments are often never deployed to business operations, resulting in wasted effort, time, and money and leaving businesses dangerously exposed to competitors that have integrated AI into their ongoing operations. In order for companies to derisk their investments in AI and harness the transformative potential of AI, organizations must develop several critical competencies in data science and engineering.
Drawing on their wide-ranging Teradata experience and research, Ranjeeta Singh and Nick Switanek shed light on key market segments, customer pain points, and use cases where artificial intelligence and data science will drive business value for those companies that make the right investments in people, process, and technology.
This session is sponsored by Teradata.
Ranjeeta Singh is vice president and general manager of data science and artificial intelligence at Teradata, where she is focused on driving artificial intelligence capabilities in the Teradata Platform and making it a solid workbench for data scientists. Ranjeeta has been in the technology industry for over 20 years, with the last 18 years spent at Intel, where she was most recently senior director of incubation and segment general manager of the connected worker portfolio and environmental monitoring in the Internet of Things (IoT) Group. A hands-on entrepreneur, she has jump-started multiple businesses from the ground up at Intel and has held multiple leadership positions spanning strategy, business planning, product management and marketing, architecture, and engineering across various platforms. She holds five patents at Intel, primarily in the IPv6 space. She has authored multiple publications and has been an invited speaker at a number of conferences. She is passionate about mentoring and coaching women in technology. Ranjeeta holds a BS in computer science and engineering from Birla Institute of Technology, India, an MS in computer science from Rensselaer Polytechnic Institute, and an MBA from Santa Clara University.
Nick Switanek is a field data scientist and works in product marketing for advanced analytics at Teradata. Previously, he was a professor at the Kellogg School of Management at Northwestern University and a data scientist at McKinsey & Co. Nick holds a PhD in business and an MS in statistics and machine learning from Stanford.
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