Ep#173 The Role of Automation in FinOps with Blake Kelly and Steve Robinson

🎙️ Welcome to the Jon Myer Podcast! In this exciting episode, we dive deep into the world of automation in FinOps with Blake Kelly from Strategic Communications and Steve Robinson, CEO of Hyperglance. Don’t miss out on this insightful discussion on how automation is shaping finance operations in the public sector. 🔍 What you’ll learn: […]
Ep#172 AWS re:invent 2023 AMD EPYC Recap: Do More With Less with Mike Thompson

Ep#172 AWS re:invent 2023 AMD EPYC Recap: Do More With Less with Mike Thompson
Ep#171 Accelerate AWS Adoption with Logical Data Management featuring Denodo & CDW

Ep#171 Accelerate AWS Adoption with Logical Data Management featuring Denodo & CDW
Ep#171 Accelerate AWS Adoption with Logical Data Management featuring Denodo & CDW

Ep#171 Accelerate AWS Adoption with Logical Data Management featuring Denodo & CDW
Ep#170 Veeam-Powered Managed BaaS for Cloud with Michael Loos from Veeam

Ep#170 Veeam-Powered Managed BaaS for Cloud with Michael Loos from Veeam
Ep#169 Controlling Cloud Costs as it Relates to Backups with Sam Nicholls from Veeam

Ep#169 Controlling Cloud Costs as it Relates to Backups with Sam Nicholls from Veeam
Ep#168 FinOps as a Service – Optimizing MSP Profitability with BTS and Hyperglance

Ep#168 FinOps as a Service – Optimizing MSP Profitability with BTS and Hyperglance
Ep#167 Your Place in the AI Revolution with CDW (sponsored by Nvidia)

Ep#167 Your Place in the AI Revolution with CDW (sponsored by Nvidia)
Ep#166 Reducing Your FinOps Payback Period with Steve Robinson

Ep#166 Reducing Your FinOps Payback Period with Steve Robinson
Ep#165 Scaling AI/ML on AMD in AWS with Nathan Chang

Join us in a fascinating discussion with AI/ML expert Nathan, focusing on the evolving landscape of AI/ML technologies and AMD’s pivotal role. Here are the key highlights: 📈 AI/ML Momentum Exploring why AI/ML is more crucial now, influenced by the Generative AI trend. 🔧 Scaling Challenge Nathan delves into the hardware challenges in scaling AI/ML […]