May 29, 2021 • 73 mins
Bedrock team talks to Kirk Borne, Data and Artificial Intelligence pioneer, voted most influential personality in the industry, across the globe. Kirk has ranked Nº1 Digital, Data Science, and Artificial Intelligence influencer globally.
He holds a degree in Physics and Ph.D. in Astronomy, and from 1985 through 1995 worked at NASA’s Hubble Space Telescope (HST).
He has provided advice to NASA management in the design and development of HST systems and has extensively contributed to the international community promoting astrostatistics and astroinformatics as robust research disciplines.
In 2020, Kirk was elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public's understanding of the Universe.
In this episode, Kirk explains how to find business solutions through data and shares his views with Jesus on the most efficient ways to accelerate value creation and innovation with data technologies.
Listen to this episode to learn about his experience across dozens of advanced analytics use cases and business areas including customer engagement and behavioural analytics, risk mitigation, fraud detection, anomaly detection, and many more using machine learning, data management, graph analytics, predictive and prescriptive analytics, and geospatial-temporal modelling.
He holds a degree in Physics and Ph.D. in Astronomy, and from 1985 through 1995 worked at NASA’s Hubble Space Telescope (HST).
He has provided advice to NASA management in the design and development of HST systems and has extensively contributed to the international community promoting astrostatistics and astroinformatics as robust research disciplines.
In 2020, Kirk was elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public's understanding of the Universe.
In this episode, Kirk explains how to find business solutions through data and shares his views with Jesus on the most efficient ways to accelerate value creation and innovation with data technologies.
Listen to this episode to learn about his experience across dozens of advanced analytics use cases and business areas including customer engagement and behavioural analytics, risk mitigation, fraud detection, anomaly detection, and many more using machine learning, data management, graph analytics, predictive and prescriptive analytics, and geospatial-temporal modelling.
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