In this episode of TechSurge, host Sriram Viswanathan sits down with Charlie Giancarlo, Chairman and CEO of Pure Storage, to discuss the evolution and future of data storage in the digital age. Charlie shares insights from his career spanning his pivotal role in Cisco's success as a networking pioneer, to his leadership in transforming Pure Storage into a leader in innovative storage solutions.

They explore the evolution of data center infrastructure, and the critical role of storage architecture in enabling AI and cloud technologies. Charlie also explains how Pure Storage's software-driven approach is creating new efficiencies and opportunities for enterprises, offering a compelling vision for a unified "data cloud" that breaks down data silos and unlocks new insights.

This episode delves into the intersections of networking, compute, storage, and AI, providing an essential perspective for anyone interested in the future of technology infrastructure.

If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits.

Links:

Pure Storage Official Website: Explore Pure Storage's innovative data storage solutions. Pure Storage Data
Charlie Giancarlo's Biography: Learn more about Charlie Giancarlo, Chairman and CEO of Pure Storage. ​Charlie Giancarlo
Portworx by Pure Storage: Discover Portworx, the Kubernetes data services platform acquired by Pure Storage. ​Wikipedia Portworx ASBIS – IT Distributor

FlashBlade//EXA Announcement: Read about Pure Storage's FlashBlade//EXA, designed for high-performance computing and AI workloads. FlashBlade//EXA: The Future of AI and HPC Storage Performance

Many in venture capital and biopharma are anointing artificial intelligence the savior of drug discovery—but what can AI actually do?

In this eye-opening episode, Michael Marks sits down with Mike Nohaile, CEO of Prellis Biologics, to explore the hype versus reality in AI-enabled drug discovery. Mike details why, despite significant breakthroughs like AlphaFold and recent Nobel Prize win for computational protein design, fully AI-generated medicines still present challenges. He also discusses why we urgently need more effective medicines and details Prellis’ unique system which combines laser printed human organoids and an externalized human immune system with AI, enabling the discovery of fully human antibodies.

If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits.

Links:

Explore Prellis Biologics

https://prellisbio.com/

Understand AlphaFold, DeepMind’s AI model for predicting protein structures

https://deepmind.google/alphafold

Read about the 2024 Nobel Prize in Chemistry

https://www.nobelprize.org/prizes/chemistry/2024/press-release/

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves?

Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI.

Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school.

Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency?

If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits.

Links:

Read Why Machines Learn, Anil’s latest book on the math behind AI
https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749

Learn more about Anil Ananthaswamy’s work and writing

https://anilananthaswamy.com/

Watch Anil Ananthaswamy’s TED Talk on AI and intelligence

https://www.ted.com/speakers/anil_ananthaswamy

Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research

https://ksj.mit.edu/

Understand the Perceptron, the foundation of neural networks

https://en.wikipedia.org/wiki/Perceptron

Read about the Perceptron Convergence Theorem and its significance

https://www.nature.com/articles/323533a0