As the dust settles on Tax Day 2026, Intuit's chief AI officer envisions not a SaaS apocalypse but a SaaS transformation enabled by AI agents, with an emphasis on human-AI collaboration and predictive capabilities. In this interview, he shares data on the results of Intuit's AI strategy so far in millions of customers and transactions, cost savings, ROI and accuracy rates.

Featuring: Ashok Srivastava, senior vice president and chief AI officer, Intuit

In today’s episode, we’ll cover…

• What Srivastava's experiences with data analytics at NASA and Intuit have in common
• The importance of AI skepticism in agentic development
• Best and worst-case scenarios for agentic AI in 2026

And more!

References:

• SaaSpocalypse? Maybe not, but SaaS applications are changing
• Intuit's Ashok Srivastava, on AI agents' new frontier
• Finance platform Intuit intros generative AI capability

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.

As chief technology and innovation officer at IT consulting and services company Avanade, Aaron Reich sits at the intersection of enterprise AI adoption trends among IT vendors, enterprise clients and internal customers. He offers his insights on why so many enterprise AI deployments get stuck in the pilot stage, his advice on AI governance best practices and his predictions for how 2026 and 2027 will unfold.

Featuring: Aaron Reich, chief technology innovation officer, Avanade

In today’s episode, we’ll cover…

• Varying levels of trust in AI
• The importance of data governance, agent reusability, and cost management in enterprise AI initiatives
• The future of white-collar work in the agentic AI age
• The best and worst case scenarios for enterprise AI in 2026 and beyond

And more!

References:

• IT leaders share enterprise AI change management tips
• State of the Cloud report shows shift from cost-cutting to value
• SaaSpocalypse? Maybe not, but SaaS applications are changing

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.

Serverless computing is nothing new, but it's poised for major growth, according to recent market research. This week's guest has had a front-row seat to that growth both at AWS and Capital One, where he led the company's efforts to use serverless at scale and helped shape its Serverless Center of Excellence. In this episode, he discusses the pros and cons of serverless computing for enterprises, recent advances in adjacent technologies such as observability, and shares his lessons learned.

Featuring: Brian McNamara, distinguished engineer at Capital One

In today’s episode, we’ll cover…

• Cost and efficiency savings with serverless computing
• AWS CloudWatch, X-Ray and OpenTelemetry updates for serverless observability
• The "NoOps" misnomer
• How to help developers work with serverless functions effectively

And more!

References:

• AI will heavily influence cloud-related decisions in 2026
• Compare AWS Lambda vs. AWS Fargate for serverless
• 19 Top Distributed Tracing Tools to Know About

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.

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.