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.

AI Master: Dr. Kirk Borne
MDC-TV – 03/11/2022 (01:00:00)

https://www.youtube.com/watch?v=95JBMZN9AGg&ab_channel=MDC-TV

Dr. Kirk Borne, Chief Science Officer at Data Prime Inc. and founder of Data Leadership Group LLC, shares insights on the transformative impact of AI in this presentation, emphasizing its convergence with various digital technologies to fuel innovation, drive business value, and foster future job opportunities. His focus on the critical development and deployment of crucial skills and literacies underlines the pivotal role of data-driven revolution in shaping the future workforce.

OnAir Post: Kirk Borne

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

Frontiers of AI and Computing: A Conversation With Yann LeCun and Bill Dally | NVIDIA GTC 2025
NVIDIA Developer – 10/04/2025 (53:14)

https://www.youtube.com/watch?v=eyrDM3A_YFc

As artificial intelligence continues to reshape the world, the intersection of deep learning and high performance computing becomes increasingly crucial. This talk brings together Yann LeCun, a pioneer in deep learning and the chief AI scientist at Meta, and Bill Dally, a leading computer architect and chief scientist at NVIDIA, to explore the future of AI models, hardware accelerators, and the evolving computational landscape.

The discussion covers:

  • The next breakthroughs in deep learning and AI architectures
  • How hardware innovation drives AI efficiency and scalability
  • Challenges in training large-scale models and real-time AI inference

Speakers:

  • Bill Dally, Chief Scientist and SVP of Research, NVIDIA
  • Yann LeCun, Chief AI Scientist at Meta, Professor at New York Universit

OnAir Post: Yann LeCun

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

Designing A Data-Intensive Future: Expert Talk • Martin Kleppmann & Jesse Anderson
GOTO Conferences (27:51)

https://www.youtube.com/watch?v=P-9FwZxO1zE&ab_channel=GOTOConferences

This interview was recorded at GOTO Amsterdam for GOTO Unscripted.

Martin Kleppmann – Researcher at the Technical University of Munich & Author of “Designing Data-Intensive Applications” ‪@kleppmann‬
Jesse Anderson – Managing Director of Big Data Institute, Host of The Data Dream Team Podcast ‪@jessetanderson‬

OnAir Post: Martin Kleppmann

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.

Most important Python skills for Data Engineers!
Andreas Kretz – 08/11/2021 (05:45)

https://www.youtube.com/watch?v=kY-BMEr0soM&ab_channel=AndreasKretz

Too many people get scared about these big Python requirements. Then they get a course that sends them down the rabbit hole. Relax! There are only a few packages that you should know as a Data Engineer. Here’s what you need.

OnAir Post: Andreas Kretz

Sai Sriram Uppada

👋 Hi, I’m Sai Sriram Uppada – a Data Analytics Engineering graduate, AWS Certified Data Engineer, and AI enthusiast who enjoys building end‑to‑end data, ML, and LLM‑powered systems that solve real problems in a scalable way.

I recently completed my Master’s in Data Analytics Engineering at George Mason University (GPA 3.85/4.0), where I focused on data engineering, machine learning, and LLM-based analytics. Over the past few years, through academic projects, research work, and internships, I’ve worked across the full data lifecycle: from ingestion and ETL to modeling, evaluation, and deployment for analytics and intelligent applications. I’m actively seeking full-time and internship opportunities as a Data Engineer, Data Analytics Engineer, or Data Analyst where I can contribute to data platforms, AI-driven products, and cloud-native solutions.

OnAir Post: Sai Sriram Uppada

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