Super Data Science: ML & AI Podcast with Jon Krohn

Florian Neukart, Chief Product Officer at Terra Quantum AG and an assistant professor at Leiden University, dives into fascinating discussions on quantum computing. He addresses the practicality of quantum-safe security amid rising quantum capabilities. The conversation explores hybrid quantum-classical systems and their application in industries like healthcare and automotive. Neukart emphasizes the importance of ethical quantum technology, evolving hardware, and the accessibility of quantum machine learning for aspiring data scientists.

Discover a fresh approach to time management with a continuous calendar tailored for 2025. This innovative layout offers an uninterrupted overview of your schedule, allowing for better planning. Get insight into designing realistic goals and striving for manageable milestones in the New Year. Jon Krohn emphasizes the importance of adapting behavioral changes and utilizing AI tools for both personal and professional growth. Kickstart your year with effective strategies and tips for achieving your aspirations!

Sadie St. Lawrence, a seasoned data science educator and founder of the Human Machine Collaboration Institute, joins the discussion on AI's future. They assess 2024's key trends including AI-driven science and enterprise monetization. Predictions for 2025 highlight the surge of agentic AI and necessary skills for data scientists. They also reflect on significant industry shifts, the rise of emerging players, and the societal impact of automation. Sadie emphasizes the need for genuine human connection as technology evolves.

Join a quick dive into the transformative innovations in generative AI that marked 2024. The discussion highlights breakthroughs in functional coding and the emergence of independently acting AI agents. Excitement brews over the potential these advancements hold for the future. Tune in for a refreshing dose of optimism surrounding AI's role in enhancing both technology and humanity.

Ed Donner, Co-founder and CTO of Nebula.io, shares his insights from a career that spanned JPMorgan Chase to AI entrepreneurship. He delves into the role of an AI engineer and the exciting job opportunities in the field. Ed explains how to choose a large language model effectively, introduces key AI terms like RAG and agentic AI, and discusses the value of blends of real and synthetic data for testing. They even engage in a competitive game to pit LLMs against each other, showcasing innovative methods in AI evaluation.

Anu Jain, CEO of Nexus Cognitive, and Mahesh Kumar, CMO of Acceldata, delve into transforming enterprise data for AI success. They discuss the critical need for updated data governance, emphasizing how minor data errors can drastically impact financial decisions. The conversation highlights the integration of composable data architectures and the role of data observability in ensuring high-quality data for AI applications. They also explore strategies to reduce vendor lock-in and enhance automation in data management.

Greg Epstein, the Humanist chaplain at Harvard and MIT and author, probes the captivating intersection of technology and spirituality. He argues that technology has evolved into a modern belief system that demands a reformation. The discussion highlights how AI and tech culture mirror religious narratives, fostering blind faith akin to traditional religions. Epstein advocates for prioritizing genuine human connections over digital interactions while setting boundaries with technology. He presents tech agnosticism as a guiding philosophy for navigating these complexities.

DePauly Vias, Global Head of Data and AI at Korn Ferry, discusses how AI is reshaping recruitment, emphasizing the need for authenticity in job applications. Brian McCann, CTO of you.com, delves into AI’s groundbreaking role in protein generation for healthcare, showcasing its potential to bridge scientific disciplines. The duo also critiques the notion that AI celebrity equates to true expertise, and they explore diverse paths in data analytics education, from self-directed learning to mentorship, ensuring newcomers find their way.

Dr. Eiman Ebrahimi, CEO of Protopia AI and former NVIDIA scientist, dives into the hurdles that AI projects face regarding data security and scalability. He reveals strategies to avoid 'proof of concept purgatory' and discusses the balance of cost, speed, and safety in AI implementations. Eiman shares insights on the innovative Stained Glass Transform, enhancing data protection while maintaining performance. He also draws inspiration from Alan Watts’ philosophy, illustrating how it can fuel creativity and innovation in AI.

Explore the crucial role of flexibility in deploying AI models, highlighting the need for tailored solutions. Discover how a leading tech company transformed into a comprehensive AI service ecosystem, emphasizing non-proprietary tools. Dive into strategic choices for on-premises versus cloud solutions and the importance of edge data. Learn how inflexibility can lead to failure and why understanding performance and costs is vital. Lastly, unravel the hype surrounding generative AI and its true business applications, reinforcing innovation across sectors.