Ben talks with Shane McAllister, lead developer advocate at MongoDB, Stanimira Vlaeva, senior developer advocate at MongoDB, and Miku Jha, director, AI/ML and generative AI at Google Cloud, about the challenges and opportunities of operationalizing and scaling generative AI models in enterprise organizations.
In this sponsored episode, Ben and Ryan are joined by Ria Cheruvu, an AI evangelist at Intel, to discuss the different approaches to incorporating AI models into organizations.
In this episode, Ben and Ryan are joined by Joshua Fox, a senior cloud architect at DoiT, to discuss cloud cost optimization. They explore the importance of controlling and understanding cloud costs, the role of good architecture in cost optimization, and strategies for dealing with surprise costs.
Ryan and Ben chat with Raymond Lo, AI software evangelist at Intel, about the AI PC, the software that powers AI breakthroughs, and optimizing hardware and software in unison to improve generative AI performance.
On this sponsored episode of the podcast, Ben and Ryan chat with Maya Sellon, inclusive design and digital accessibility principal at Shell, about how she’s scaling accessibility and inclusive design practice across an organization the size of Shell. They talk about how knowing the accessibility issues is half the battle, how people are the key to scale, and what video games teach us about inclusive design.
Intuit shares what they've learned building multiple LLMs for their generative AI operating system.
There are new ways to leverage different CPU architectures to increase application performance and reduce cloud compute costs. Making the cloud-native stack multi-architecture ready helps applications run on the right hardware in cloud environments.
While there’s a lot of dangers out there, it’s not all doom and gloom; we also talk about how to mitigate these threats.
Ben and Ryan talk with Robert Ross, the CEO and co-founder of FireHydrant about the problem with alerting and incident management today, how holiday code freezes change incident management, and how Robert accidentally became a CEO.
Insight into how IBM built their own LLM, data lakehouse, and AI governance system.
We chat with IBM about how their watsonx platform makes generative AI more than just a fun toy.
Ben and Ryan talk to Rob Skillington, CTO and co-founder of Chronosphere. They talk about how build vs. buy is a false choice, lessons learned from building developer tooling at Uber, and why building developer tools needs more than technical skills.
The opportunities for edge computing are huge—but so are the memory requirements.
If we can make operational data easier to manage and easier to access through simple, standardized APIs, everyone can transform their companies into sustainable data-driven organizations.
From studying music to coding it.
On this sponsored episode, Ben, Cassidy, and Ryan are joined by Luyang Zou, who is a creative coder, artist, architect, and Ambassador for today’s sponsor, Logitech. They chat about the amazing immersive spaces he creates with a keyboard and mouse, the process (and Processing), and the software and hardware he uses.
Semantic search and augmenting LLMs have sent everyone turning their text into vectors. But where do you store all that vector data?
On this sponsored episode of the podcast, Ben talks with Amber Webb, Principal Engineer at Shell, and Naresh Kumar, Senior Principal Engineer at Shell, about their hyper automation initiative, which locates organization-level bottlenecks and removes them.
We sit down with Sascha Heyer, Senior ML specialist at DoIT, to learn how organizations can leverage the power of GenAI while avoiding the downsides.
And how software underlies the second-largest electric vehicle charging network.
Ops folks with knowledge are irreplaceable. Treat them like you need them.
Imagine a world where you're owning your digital purchases instead of licensing them.
The cost bottleneck is your mind!
