Why Knowledge, Not Technology, Is the Foundation of Successful AI-Driven Data Migration

Guest: Dominic Wittenbeck, Group CTO at SNP Group
Host: Seth Earley, CEO at Earley Information Science
Published on: April 20, 2026

In this episode, Seth Earley speaks with Dominic Wittenbeck, Group CTO at SNP Group, a 1,600-person global software and solutions firm with 30 years of SAP-centric data migration expertise. They explore why AI is only as good as the institutional knowledge behind it, how agentic AI is transforming high-stakes enterprise migrations, and why organizations must treat data migration as a strategic opportunity rather than a cost-reduction exercise. Dominic shares hard-won insights on semantic architecture, governance, and what executives consistently get wrong when applying AI to critical enterprise processes.

Key Takeaways:

AI is not a silver bullet for data migration - it requires deep, domain-specific knowledge to produce deterministic, auditable results.

Enterprise data migration is a team sport requiring cross-functional specialists; AI accelerates the work but cannot replace that expertise.

The real opportunity in migration is not just moving data - it is cleaning it up and optimizing processes while the organization is already changing.

Agentic AI is transforming the full migration lifecycle, from pre-sales solutioning and blueprint generation to rule creation and automated testing.
Governance established once without ongoing enforcement decays quickly - organizations must build continuous oversight into critical processes from the start.

Value mapping, not just structural mapping, is the dominant challenge in SAP migrations, and AI can significantly accelerate semantic alignment work.

Executives should focus AI investments on problems that truly matter, not easy wins - meaningful impact comes from finding where differentiation really counts.

Insightful Quotes:
"In order to run complicated systems which have a critical impact on your business, they need enough grounding. You actually need to feed the knowledge into the agentic system that you're building on top of, in order to make sure that you get deterministic results in the end." - Dominic Wittenbeck

"Rather than re-architecting the whole thing, try to identify what the critical processes really are, that if they are not exercised correctly, really hurt your business. Find where the value lies - or if you can't find that, find where your risk lies." - Dominic Wittenbeck

"Sometimes cheap is quite costly, and sometimes slowing down speeds things up. If you're moving stuff from one system to another and you say, we'll clean it up later - that's never going to happen. It's like moving from one house to another with an attic full of boxes and junk." - Seth Earley

Tune in to discover why successful AI-driven enterprise migration depends less on technology and more on institutional knowledge, governance, and treating transformation as a strategic opportunity.

Links
LinkedIn: https://www.linkedin.com/in/dominik-wittenbeck-61a64669/
Website: https://www.snpgroup.com

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

How Grafana Labs Built a Competitive Edge Through Openness, Agentic AI, and Engineering Culture

Guest: Tom Wilkie, VP of Product at Grafana Labs
Host: Seth Earley, CEO at Earley Information Science
Published on: April 17, 2026

In this episode, Seth Earley speaks with Tom Wilkie, VP of Product at Grafana Labs, a leading observability platform serving 25 million users across 50 global regions. They explore how Grafana's open source "big tent" philosophy creates unexpected competitive advantages in the AI era, why agentic AI is transforming how engineers respond to production incidents, and how the build-versus-buy debate is shifting with AI-assisted development. Tom shares candid insights on engineering culture, remote-first work, and why junior engineers may be more valuable than ever.

Key Takeaways:

Grafana Labs' open source strategy gave AI foundation models deep familiarity with their software, creating a powerful and unexpected competitive advantage.

Agentic AI is transforming observability by automating root cause analysis of production incidents, reducing engineering response time significantly.
Adaptive telemetry technology automatically identifies unused data, enabling organizations to cut observability costs dramatically without sacrificing coverage.

The build-versus-buy debate is shifting, but the real hidden cost is long-term maintenance - not the initial development effort.

Emergent engineering standards outperform top-down mandates; leaders consistently overestimate how much centralized consolidation is actually needed.

Remote-first engineering works when companies deliberately engineer collaboration rather than relying on spontaneous hallway interactions that rarely happen anyway.

AI-powered LLMs may solve the remote junior engineer onboarding problem by providing a low-ego, always-available resource for learning and guidance.

Insightful Quotes:
"By having 25 million users worldwide, they're out there blogging, publishing examples, tweeting, publishing videos - generating so much content on the open web about how to use Grafana. These foundation models are trained on that data. They know how to use our software better than proprietary competition." - Tom Wilkie

"The cost of consolidation is often underestimated. And it's often dangerous to the culture, because as soon as you start telling engineers that have poured their heart and soul into this project to drop it - that's devastating to people." - Tom Wilkie

"Openness - whether it's open source, open standards, open culture - is not just a philosophy. It really is a competitive strategy. It lowers switching costs, builds trust, and in the area of AI, it turns out to be the best way to make sure your models know how to use your technology." - Seth Earley

Tune in to discover how Grafana Labs turned open source philosophy into a winning AI-era strategy - and what engineering leaders can learn about culture, observability, and building for the long term.

Links
LinkedIn:https://www.linkedin.com/in/tomwilkie/
Website: https://grafana.com

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book

Why Security Teams Are Being Asked to Do Three New Jobs - and What to Do About It

Guest: Rob Lee, Chief AI Officer and Chief of Research at SANS Institute

Host: Seth Earley, CEO at Earley Information Science

Published on: March 27, 2026

In this episode, Seth Earley speaks with Rob Lee, Chief AI Officer and Chief of Research at SANS Institute, about why AI governance is broken in most organizations - and what it actually takes to fix it. They explore why security teams are being asked to simultaneously govern, adopt, and defend AI, why the default framework of no is driving shadow IT rather than preventing risk, and what a practical reset of AI governance actually looks like. Rob also shares why agents should be treated like workers rather than software, and why executives cannot afford to outsource their understanding of AI to anyone else.

Key Takeaways:

• Security teams are now being asked to do three new jobs at once - evaluate AI tools for the organization, drive their own AI transformation, and manage governance and regulatory compliance.
• The default framework of no does not prevent AI use - it drives it underground, creating shadow IT that is far harder to monitor and control than sanctioned tools.
• Governance needs a stoplight model - green means experiment freely, yellow means involve security as a lifeguard, red means stop - with the default answer being yes unless there is a clear reason to say no.
• AI governance documents written before generative AI arrived are already outdated - most say nothing about agentic workflows, human-in-the-loop requirements, or connector permissions.
• Agents should be treated like workers, not software - they reason, improvise, and operate 24-7, which means they require the same zero-trust principles, oversight structures, and ethical guardrails as human employees.
• Executives cannot outsource their understanding of AI to security teams - AI literacy at the C-suite level is a competitive requirement, not an optional capability.
• Good governance is not about documenting every possible bad outcome - it is about establishing overarching goals and building a culture of trust with enough guardrails to prevent the truly stupid risks.

Insightful Quotes:

"The framework security teams are using is a framework of no. And that framework of no is causing people to use AI secretly, regardless of what the security team says." - Rob Lee

"An agent in the future - and some organizations are already treating it this way - is a worker. Everything you ask about governing agents, replace that with a human who just got hired. The same rules apply." - Rob Lee

"You can't automate what you don't understand - and with agents, the stakes are even higher. An agentic mistake isn't a wrong paragraph, it's a blocked critical system." - Seth Earley

Tune in to discover how security and executive leaders can move from a governance posture of restriction to one that enables innovation, manages real risk, and keeps organizations competitive in the age of agentic AI.

Links:

LinkedIn: https://www.linkedin.com/in/leerob/

Website: https://www.sans.org

Sponsor: Vector - https://www.vktr.com/

Thanks to our sponsors:

• VKTR
• Earley Information Science
• AI Powered Enterprise Book