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How 30 Years of Tech Prepared This CTO For AI
On this episode of 1 IDEA, Suresh Mathew sits down with Kevin Trilli (CPTO @ FIS Amount) to unpack his playbook for getting ahead of technology transitions, like the AI era.
Why Your ML Training Data Fails in Production
On this episode of 1 IDEA, Suresh Mathew sits down with Eugene Fratkin (VP of Engineering @ Salesforce) to break down why ML training data fails in production and what to validate before you ship.
How We Solved the GPU Problem for Kubernetes
We solved GPU optimization. In this episode of 1 IDEA, Suresh Mathew sits down with Pooja Malik, Distinguished Engineer at Sedai, to talk through how Sedai's engineering team built GPU optimization from scratch, why the standard metrics fail, and what's still unsolved.
How 4 Engineers Shipped AWS's Fastest Product Launch
Ashish Jha (now Director of Engineering @ Drata) built AWS Audit Manager — one of AWS's fastest-growing services ever — launching in 15 months with 1,000 customers turning it on in the first 24 hours.
The 23-Minute Playbook for On-Prem Products
Gil Feig (CTO @ Merge) took on what everyone warned him not to: on-premises deployment. 18 weeks to first customer, and a support model that could sink the company.
The $5M ARR Mistake That Almost Split A Company
John Wang (Co-Founder @ Assembled) did what most companies talk about but rarely pull off: he spun up a four-person AI team inside an existing company, ran it like a YC startup, and hit millions in ARR in 18 months. But the board was angry, the org nearly split, and the sales team couldn't sell the product.
How To Prepare For The Next AWS Outage
In this episode of 1 IDEA, Suresh Mathew sits down with Preeti Somal (SVP of Engineering @ Temporal) to unpack how her team prepared for a failure they knew was coming and how other engineering leaders can do the same.
How To Ship Features 83% Faster
What happens when AI starts modifying production code faster than your design process can keep up?
Minimum Lovable Product | Mohit Aron
Mohit Aron built 2 companies to $10B+ (Nutanix & Cohesity) by rejecting Silicon Valley's MVP obsession. He reveals why a "Minimum Lovable Product" beats an MVP every time.