The Stack Overflow Podcast4 Tammi 2023

The future of software engineering is powered by AIOps and open source

Over the past five years, Intuit went through a total cloud transformation—they closed the data centers, built out a modern SaaS development environment, and got cloud native with foundational building blocks like containers and Kubernetes. Now they are looking to continue transforming into an AI-driven organization that leverages the data they have to make their customers’ lives easier. Along the way, they realized that their internal systems have the same requirements to leverage the data they have for AI-driven insights.

Episode notes

Wadher notes that Intuit uses development velocity, not developer velocity. The thinking is that an engineering org should focus on shipping products and features faster, not making individual devs more productive.

No, the robots aren’t coming for your jobs. Wadher says their AI strategy relies on helping experts make better insights. The goal is to arm those experts, not replace them.

In terms of sheer volume, the AI/ML program at Intuit is massive. They make 58 billion ML predictions daily, enable 730 million AI-driven customer interactions every year, and maintain over two million personalized AI models.

Intuit’s not here to hoard secrets. They’ve outsourced their DevOps pipeline tool, Argo. They found that a lot of companies used it for AI and data pipelines, and have recently launched Numaproj, which open sources a lot of the tools and capabilities that they use internally.

Congrats to Lifeboat badge winner Bill Karwin for their answer to Understanding MySQL licensing.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(983)

AI, JD, and other letters of the law

Ryan chats with Kevin Frazier, director of the AI Innovation and Law program at the University of Texas School of Law, about the legal and social impacts of data centers, the realities of workforce di...

15 Syys 38min

AI cybersecurity is a cat and mouse game

Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vu...

11 Syys 27min

Java’s age is its AI superpower

SPONSORED BY IBMRyan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. They talk about why the long history of Java both makes for a stable language and...

9 Syys 35min

Scaling your money safely with AI

Episode notes: This episode with Paypal’s CTO Srini Venkatesan was recorded at the Ai4 conference. Listen to our other Ai4 conversation with Greg Jennings, VP of Engineering for AI Products at Anacond...

8 Syys 28min

How to build a secure-by-default AI coding agent

Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guar...

4 Syys 32min

The good ol’ days of building Java

Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its incep...

1 Syys 30min

When you keep AI Lean, you keep AI correct

Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning com...

28 Elo 25min

Inside LinkedIn's cognitive memory agent for agentic personalization

Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state...

25 Elo 32min