SuperDataScience

SuperDataScience is an online educational portal for Data Scientists. The company’s mission is to “Make The Complex Simple”.

[SuperDataScience @superdatasci]

@andrey_kurenkov tells @JonKrohnLearns how Astrocade became the TikTok of AI-generated video games with over 20 million users, why there's no secret sauce in the tech stack, and why household humanoid robots are now just two to three years away.

Watch the episode here: https://t.co/4Sad19t7Na

[SuperDataScience @superdatasci]

TrueFoundry’s Nikunj Bajaj speaks to @JonKrohnLearns about how enterprises like Nvidia and Siemens are realizing over $100 million in returns from single AI agent deployments, and why the conventional advice to “start small” is exactly the wrong way to roll out agents in a large organization.

Watch the episode here: https://t.co/zWxyQ1CZam

[SuperDataScience @superdatasci]

Jazmia Henry tells @JonKrohnLearns how she builds foundation models for the oil and gas industry, where 90% of documents are unstructured and an AI model's accuracy can be the difference between a routine shift and a worker losing a limb.

Watch the episode here: https://t.co/rQU0VzOIfx

[SuperDataScience @superdatasci]

Jacob Miller and Jeremy Mumford, co-authors of the brand new Wiley book Architected Intelligence, tell @JonKrohnLearns why workflows beat agents, why data engineering is the true bedrock of AI, why most fine-tuning projects shouldn’t happen, and why velocity is the only durable moat in a world where every company has access to the same frontier models.

Watch the episode here: https://t.co/bGX3HQa7lM

[SuperDataScience @superdatasci]

Dr. @trevmanz of Marimo talks to @JonKrohnLearns about Marimo Pair, an open-source agent skill that lets coding agents like Claude Code drive a reactive Python notebook, plus recursive language models, the AnyWidget toolkit, and why curiosity will always beat raw speed in a data career.

Watch the episode here: https://t.co/ujwybgURYI

[SuperDataScience @superdatasci]

Rubrik’s Anneka Gupta and @caldhubaib speak to @JonKrohnLearns about cybersecurity measures, the risks AI in business might pose for malicious attacks, and why AI should be kept “boring.”

Watch the episode here: https://t.co/eQtF4kj8B2

[SuperDataScience @superdatasci]

@lindavivah talks to @JonKrohnLearns about staying current on AI matters, why open-source technology is narrowing the gap in its race with proprietary models, and how being a content creator in tech is key to career growth and longevity. She emphasizes that non-linear pathways to a career in tech can give applicants an edge, and stresses the importance of continuous upskilling to “stay relevant.” In her view, systems thinking is becoming more important than coding skills. Hear why in this episode.

Watch the episode here: https://t.co/9s4tLSoVaC

[SuperDataScience @superdatasci]

Oracle’s Director of AI Developer Experience @richmondalake returns to the show to talk to @JonKrohnLearns about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time.

Watch the episode here: https://t.co/YkjgkGpGEp

[SuperDataScience @superdatasci]

@JonKrohnLearns guest today took a public school that was about to be shut down and turned it into the number one school in Boston, and #AI is her latest secret weapon. In a long-overdue episode on AI for supporting children’s #education, hear directly from Principal Traci Walker Griffith how her teachers have been experimenting with AI in classrooms, what works, what doesn’t work, and what’s next for kids as LLMs continue to improve.

Watch the episode here: https://t.co/Id0Q1fKF4X

[SuperDataScience @superdatasci]

Matt Glickman talks to @JonKrohnLearns about co-founding the agentic-platform startup, Genesis Computing, how his experience at Goldman Sachs paved the way for developing AI agents, and where he thinks agentic AI has just as much value as a company’s human employees.

Watch the episode here: https://t.co/pSxEju95NR

[SuperDataScience @superdatasci]

Rohit Choudhary, the man who coined the term “data observability” in 2018, tells @JonKrohnLearns why enterprise data will soon grow at nearly 10x per year, why fixing bad data at the point of consumption costs a thousand times more than catching it in the pipeline, and what it takes for enterprise data to be truly AI-ready.

Watch the episode here: https://t.co/L2cJ1sIk4t

[SuperDataScience @superdatasci]

Professor @kchonyc, co-author of the first paper on attention and one of the most cited AI researchers alive, talks to @JonKrohnLearns about how the attention mechanism was born in a single morning, why the real frontier isn’t squeezing more from data but actively choosing which data to collect, and what world models might mean for the next leap in AI.

Watch the episode here: https://t.co/uGagZk3urj

[SuperDataScience @superdatasci]

Zack Kass speaks to @JonKrohnLearns about his bestselling, tech-positive book, The Next Renaissance, that charts the rapid progress of humanity and the benefits that #artificialintelligence will bring to us, as well as why a future where intelligence is a cheap and abundant resource will give humanity an edge.

Watch the episode here: https://t.co/Qfv24Kkfxk

[SuperDataScience @superdatasci]

@cfregly takes on the admirable task of distilling his latest 1000-page book into podcast-sized bites for @JonKrohnLearns , from getting the best return on AI investments to ways to optimize memory bandwidth.

Watch the episode here: https://t.co/2789pcaUWI

[SuperDataScience @superdatasci]

@lqiao CEO of Fireworks AI, talks to @JonKrohnLearns about how she builds effective models quickly, why coding agents can perform at the level of a junior engineer, and what Fireworks AI is looking for in new recruits.

Watch the episode here: https://t.co/cA94H1AXh9

[SuperDataScience @superdatasci]

Princeton Professor Tom Griffiths talks to @JonKrohnLearns about his new book, The Laws of Thought, which grapples with the mathematical models behind biological and artificial intelligence, and what makes the human brain so fascinating for psychologists and computer scientists to study.

Watch the episode here: https://t.co/n3FLxWe06f

[SuperDataScience @superdatasci]

VP of Engineering at Samsara Praveen Murugesan talks to @JonKrohnLearns about processing 20 trillion data points covering 90 billion miles across private and public sectors, how the company helps truckers who operate long hours and travel for long stretches without cellphone signal, and who they’re looking to hire to help this agile startup keep on developing high-impact solutions for real-world problems.

Watch the episode here: https://t.co/05tjObwNzx

[SuperDataScience @superdatasci]

CEO of Lightning AI @williamfalcon speaks to podcast host and @LightningAI fellow @JonKrohnLearns about the company’s merger with Voltage Park, and why Will has named it the “full-stack AI neo-cloud for enterprises and frontier labs”.

Watch the episode here: https://t.co/mowdfo9Icm

[SuperDataScience @superdatasci]

Bestselling author and Gen AI instructor @anbarth talks to @JonKrohnLearns about her work at #Amazon’s #AGILabs and their newest product Nova Act, as well as where we will see the most success with AI agents and how #AI developers can reap those rewards.

Watch the episode here: https://t.co/n9jYBLTyZ5

[SuperDataScience @superdatasci]

Dr. Vijoy Pandey returns to the show to talk to @JonKrohnLearns about Cisco’s work to advance medicine and mitigate the impact of climate change with distributed artificial super-intelligence. Dr. Vijoy Pandey believes in a future where humans and #AIagents work together to tackle our biggest challenges. For this to happen, we will need to have multi-agent systems and open-source platforms that let agents work together, avoiding the phenomenon of AI agents being “isolated geniuses” unable to collaborate. He elaborates on what @Cisco is doing to close this gap.

Watch the episode here: https://t.co/mBBiz25FoP