Kirk Borne

Dr. Kirk Borne is the Chief Science Officer at DataPrime, Inc.  He is a sought-after global speaker on topics ranging from data mining, data management, big data analytics, data science, machine learning, artificial intelligence, internet of things, data-driven decision-making, modeling & simulation of dynamic systems to emerging technologies, future of work, education, and science.

Prior to this role, he was the Principal Data Scientist, Executive Advisor and the first Data Science Fellow at Booz Allen.

Kirk is also Founder and Owner, Data Leadership Group LLC.

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Yann LeCun

Yann André Le Cun is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice President, Chief AI Scientist at Meta.

He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNNs). He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner). He co-developed the Lush programming language with Léon Bottou.

In 2018, LeCun, Yoshua Bengio, and Geoffrey Hinton, received the Turing Award for their work on deep learning. The three are sometimes referred to as the “Godfathers of AI” and “Godfathers of Deep Learning”.

Source: Wikipedia

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Martin Kleppmann

I am an Associate Professor at the University of Cambridge, working on local-first collaboration software and distributed systems security. I teach Concurrent and Distributed Systems and Cryptography and Protocol Engineering, and I’m one of the people behind the Automerge open source project.

In 2017 I published a book for O’Reilly, called Designing Data-Intensive Applications. It covers the architecture of a broad range of databases and distributed data processing systems, and it has thousands of five-star reviews on Amazon. A second edition co-authored with Chris Riccomini is due to appear in late 2025, and is now in early release.

Source: Website

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Andreas Kretz

Andreas Kretz is known for in-depth explanations of data engineering concepts and practical advice, particularly on cloud infrastructure and big data technologies.

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