Following IBM’s acquisition of HashiCorp, company leaders including Tyler Lynch stepped into new roles at IBM. In this interview, Lynch breaks down IBM's overall Automation portfolio, dives deep into the latest product updates around agentic security, details the role of products such as HashiCorp Vault and Terraform in those updates, and looks ahead to the future.

Featuring: Tyler Lynch, Outbound CTO, IBM Automation

In today’s episode, we’ll cover…

• Security, Identity, and HashiCorp Vault 2.x
• An update on HashiCorp Boundary, Consul and Nomad
• IBM Automation 2.0

And more!

References:

• From perceptron to Concert: The operations data model at IBM Think ‘26
• IBM Bob AI coding agent ships, HashiCorp AIOps previewed
• IBM - HashiCorp AI roadmap takes shape at HashiConf

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

The world has undergone a "great storage squeeze" over the last year, as memory shortages have driven up storage prices across all markets. The pinch is felt most strongly in AI infrastructure buildouts, which demand massive capacity from data storage systems to supply frontier models and AI agents with relevant data, as well as high-performance delivery of that data. An experienced enterprise storage executive reflects on how AI could be both the cause of storage management woes and their potential remedy.

Featuring: Adrian Johnson, CRO, Hitachi Vantara

In today's episode, we'll cover…

• The multi-faceted AI infrastructure problems CIOs face
• Data sovereignty concerns' effect on storage management
• How Hitachi Vantara is using agentic AI for storage supply chain management

And more!

References:

• How the 'Great Storage Squeeze' impacts infrastructure strategies
• It’s 10 p.m. Do You Know Where Your Data Is?
• Hitachi Group site selected as "Global Lighthouse Factory"

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Data centers and their resource demands on surrounding communities have become national political news as AI infrastructure grows. Meanwhile, the industry's focus is about to shift again, from training frontier AI models to AI inference, which calls for smaller, more distributed facilities and raises a different set of potential concerns.

Henry Cubillan is senior vice president of Americas Commercial for Kelvion, a manufacturer of cooling and thermal management technology. In this episode, he sheds light on emerging data center cooling approaches that demand less water, along with their trade-offs. He also discusses how the industry should respond to public controversy about AI data centers.

In today’s episode, we’ll cover…

• New buildouts vs retrofitting existing data center facilities
• Evaporative cooling, closed-loop liquid cooling and dry cooling
• Striking a balance between data center power and water usage
• The outlook for enterprises with growing AI inference workloads

And more!

References:

• Data center builders confront public AI backlash
• AI data centers can run hot to stay cool: report
• A shadow water problem: AI's power demand shifts consumption upstream

To learn more about AI and IT Operations, check out TechTarget Infrastructure.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.