Outshift by Cisco published a whitepaper titled "Scaling out Superintelligence" in January that suggests that new standard network layers will be required for AI agents and humans to work together at scale. It also began designing a distributed infrastructure to support those layers, which it calls the "Internet of Cognition," that helps agents and humans think together with a shared semantic context. In this episode, Guillaume de Saint Marc, vice president of engineering at Outshift, discusses how the project evolved and what's coming next.

Featuring: Guillaume de Saint Marc, VP of Engineering, Outshift by Cisco

In today’s episode, we’ll cover…

• Artificial superintelligence – definition and challenges

• Proposed OSI model Layers 8 and 9 for agentic AI

• The Internet of Cognition vs Agntcy and A2A protocols

And more!

References:

• Big vendors back Linux Foundation agentic workflows project

• How agentic AI is changing work, strategy and competitiveness

• Is your business ready for an agentic AI team?

• The ethics that make human-AI agent collaboration work

To learn more about software development and platform engineering, check out Search IT Operations.

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

There are two sides to the mainframe modernization coin, according to Asa Kalavade, vice president of AWS Transform, an agentic AI service that modernizes Windows, mainframe, and VMware environments. In late February, Asa wrote a blog post about misconceptions regarding AI and mainframe modernization that were revealed by work with more than 400 AWS Transform customers. In that post and during this episode's discussion, she explains why successful mainframe modernization requires both reverse and forward engineering – and why AI is only good at one of those things.

Featuring: Asa Kalavade, VP of AWS Transform

In today’s episode, we’ll cover…

• The need for both reverse and forward engineering in app modernization
• The intricacies of mainframe applications AI tends to struggle with
• Where AI agents help the modernization process
• The evolving role of mainframe experts

And more!

References:

• How to use ChatGPT in mainframe modernization
• Mainframe modernization to AI apps: USPTO reinvents itself
• Learnings from COBOL modernization in the real world (AWS)

To learn more about software development and platform engineering, check out Search IT Operations.

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

"I would love there to be a SaaS apocalypse" in observability – that's the spicy take from Ari Zilka, CEO at data pipeline engine startup MyDecisive.ai, and a former exec at New Relic and Hortonworks. MyDecisive's open source software targets data management costs from observability vendors such as Datadog by reducing data at the source; it can also proactively alert on and take action on OpenTelemetry data as it comes in from enterprise applications. If Zilka has his way, observability will return to enterprises as an in-house discipline, but without requiring an army of engineers to set it up.

Featuring: Ari Zilka, CEO at MyDecisive.ai

In today’s episode, we’ll cover…

• MyDecisive's approach to AI and Zilka's outlook on AI agents (It's not what you might think)
• Observability costs and how MyDecisive proposes tackling them
• MyDecisive vs Cribl and other data pipeline tools

And more!

References:

• New Relic plans to expand AI agent observability
• Snowflake storms into IT monitoring with Observe acquisition
• Dynatrace AI agents draw on new observability integrations

To learn more about software development and platform engineering, check out Search IT Operations.

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

Tom Chi has played many roles inside and outside the tech industry, including serving as head of Google X, where he helped develop Google Glass and self-driving cars. Now a founding partner at the environmentally focused venture capital firm At One Ventures, Chi has published a book, Climate Capital: Investing in the Tools for a Regenerative Future. The book offers dark warnings about the possible future of humans on Earth amid threefold crises in the environment, the AI economy, and geopolitics and also proposes a framework for change.

In this wide-ranging and provocative interview, Chi puts forth his opinions on why a world in which billionaires are building doomsday bunkers is one in which no one is really winning, and how that would could be re-imagined.

Featuring: Tom Chi, founding partner, At One Ventures

In today's episode, we'll cover…

• White collar jobs and AI
• Demand as a check on corporate power
• Connections between climate change, AI's impact and political unrest
• Chi's proposed skills to address these challenges: critical thinking, creativity, compassion, and community.

References:

• Potential Salesforce pricing reset latest sign of 'SaaSpocalypse'
• AI job losses: Transformation expected, not mass layoffs
• Half of Google's software development now AI-generated

To learn more about software development and platform engineering, check out Search IT Operations.

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

Corey Sanders, Senior Vice President of Product at neocloud provider CoreWeave, leads product strategy and execution for the company. His mission: Gain enterprises' trust for CoreWeave's AI cloud services. The challenge: slower-than-expected enterprise AI adoption so far and skyrocketing demand for AI infrastructure, including data center power and water resources.

Featuring: Corey Sanders, Senior Vice President of Product at CoreWeave

In today’s episode, we’ll cover…

• The shift from model building to AI inference
• The potential effect of reinforcement learning on AI accuracy
• CoreWeave's new ARENA AI lab
• NeoCloud architectures take on "RAMageddon"

and more!

References:

• GenAI drives $119B cloud revenue in Q4
• Upstart cloud provider Railway turns heads with speed
• Neoclouds: Meeting demand for AI acceleration

To learn more about software development and platform engineering, check out Search IT Operations.

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

Microsoft corporate vice president and Kubernetes project co-founder Brendan Burns envisions a long-term transition in the industry from declarative cloud-native infrastructure to intent-based infrastructure, facilitated by AI. In the short term, the impact of AI on enterprise infrastructure will be strongest in two major areas, according to Burns: reducing toil through automation and improving data summarization with natural language-based infrastructure exploration. As enterprises adjust to these changes, Burns emphasized that IT leaders should get hands-on, firsthand experience with AI automation tools.

Featuring: Brendan Burns, Corporate Vice President, Microsoft

In today’s episode, we’ll cover…

• The KAITO open source project and Kubernetes evolution for AI
• AI governance and control
• What needs to change about companies' mindsets to best use AI

and more!

References:

• Cloud infrastructure suffers AI growing pains
• Microsoft Foundry ties in with Agent 365
• Kubernetes AI progress in 2025 and the road ahead
• SREs map uncharted territory with LLMOps

To learn more about software development and platform engineering, check out Search IT Operations.

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

Erwan Menard spent six years at Google, where he most recently worked as director of product management for Google's Cloud AI services. Six months ago, he left to join Crusoe Cloud as senior vice president of product management. Crusoe Cloud, which offers everything from hosted cloud services to renewable power sources, is best known for operating the Stargate 1.2 gigawatt data center campus in Abilene, Texas. In this interview, Menard discusses the advantages of designing cloud data centers from the ground up to support AI workloads, and how the industry can meet exploding demand for data center resources, including power, as technology evolves.

Featuring: Erwan Menard, senior vice president of product management, Crusoe Cloud

In today’s episode, we’ll cover…

• Challenges and opportunities in AI cloud services
• Technical differences in neocloud and public cloud networks
• Gaining enterprises' trust in neoclouds
• Keeping AI data centers sustainable

and more!

References:

• Cloud infrastructure suffers AI growing pains
• GenAI drives $119B cloud revenue in Q4
• AI will heavily influence cloud-related decisions in 2026
• Upstart cloud provider Railway turns heads with speed

To learn more about software development and platform engineering, check out Search IT Operations.

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

Suzanne Livingston is vice president at IBM, overseeing product management for the watsonx Orchestrate AI agent platform. She says enterprises must strike between AI governance and trying to force every workload into one platform – or to be agentic at all. Going forward, managing AI agents will require new kinds of human-to-AI and human-to-human collaboration, according to Livingston, that the industry is just learning about.

Featuring: Suzanne Livingston, Vice President, IBM watsonx Orchestrate

In today’s episode, we’ll cover…

• Watsonx Orchestrate support for third-party AI agents
• Unsolved AI security problems
• How IBM customers are approaching AI governance
• AI's influence on the future of work

and more!

References:

• AI security worries stall enterprise production deployments
• DevSecOps AI agents add platform context, woo enterprises
• AI Agent Frameworks: A Guide to Evaluating Agentic Platforms

To learn more about software development and platform engineering, check out Search IT Operations.

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