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Abby White: Hi, I’m Abby White, vice president of EndeavorB2B Content Studio.

Theresa Houck: And I’m Theresa Houck, senior editor with TechEDGE.

Abby White: Theresa, this month’s most-read stories all point to the same shift: IT leaders are being asked to build stronger foundations beneath a lot of speed. That’s not news to IT leaders, but it seems like everything is accelerating these days, doesn’t it?

Theresa Houck: Yeah, and the focus on that speed is to make everything they do drive better business outcomes.

Abby White: Absolutely. Over the past several weeks on TechEDGE, we’ve been discussing how IT leaders are trying to make cloud complexity manageable, prepare for AI-driven changes to infrastructure and security, put guardrails around AI agents, translate emerging tech trends into decisions the business can use and strengthen the data practices those decisions depend on. It is, as we always discuss, no small task for IT leaders.

The first story is one of yours: “7 Ways Systems Integrators Help With Cloud Strategies and What To Do If They Fall Short.” How are systems integrators helpful?

Theresa Houck: If you use them as a strategic partner instead of just a vendor, they bring a lot of talent with designers and engineers who can help and take some of the burden off IT leaders. They can help with modernizing infrastructure, increasing security and governance, optimizing hybrid and multi-cloud operations and aligning tech decisions with business objectives for the entire company.

IT leaders are in charge of a lot. If the systems integrator is good, works as a partner and cares about your goals, they can help with everything you’re trying to do.

Abby White: This can be especially helpful if you’re lacking a particular talent within your IT department or across your organization. What do we advise IT leaders to do if an integrator falls short?

Theresa Houck: It depends on the situation, but you want to evaluate it and document what went wrong. Escalate it early. Don’t wait until after everything collapses, including the performance of your systems and the relationship.

Then decide whether the relationship is fixable. Sometimes they make a mistake or miss something, but not on purpose or out of incompetence. If it isn’t fixable, prepare an exit strategy.

Abby White: That’s one of those really hard calls IT leaders have to make. When you’ve invested so much time and money into a partnership, it can be hard to walk away when something isn’t working. But that’s good advice: Don’t wait until you’re in too deep. If it isn’t working, you have to take action.

Theresa Houck: Yeah, and if you’re maintaining good communication all the time, it shouldn’t get to a point of crisis.

Abby White: Absolutely. Communication is key.

While companies are dealing with more multifaceted cloud strategies, AI is making the environment more demanding at the same time. That leads us to another one of your articles, “IT’s Foretelling: Tech Firms Reveal How AI Is Changing Everything You Do.”

We talk about AI a lot on TechEDGE, and IT professionals are used to that by now. But what I liked about this one is that you stress AI is not just another layer on top of existing systems. It’s changing them from the inside out. It’s changing infrastructure demand, networking, security priorities, architecture decisions and the spending patterns behind those systems. How do we make this more manageable when everything is being affected?

Theresa Houck: I got this information from recent earnings calls from companies listeners will be familiar with, including NVIDIA, Fortinet, CrowdStrike, Qualys, Cloudflare and Check Point Software.

It can be tedious listening to an hour-long call, but what I look for are nuggets that indicate trends, shifts, mergers and acquisitions or anything else that shows what’s happening in the industry. The clear message is that AI is simultaneously driving infrastructure and networking growth, while increasing cybersecurity risks because there are so many more sophisticated AI-generated attacks. Enterprises are having to invest in AI-supported defense infrastructure.

Abby White: You spend time listening to these earnings calls and finding the trends that span different companies: what they’re all talking about and what they may not be talking about. Theresa does that for all of you so you don’t have to.

Theresa Houck: It’s totally worth the time because these are the leaders, so they indicate what’s happening and what’s going to happen.

Abby White: We appreciate you turning those earnings call signals into practical implications enterprise IT leaders can take into their day-to-day work. One key takeaway is that AI is not just changing what enterprises buy, although it certainly is. It’s also changing how they have to think about the entire tech stack.

Theresa Houck: Exactly. Environments are becoming more complex, and CTOs and other leaders are having to focus more on reducing overhead and vendor sprawl. AI is helping with that, while you also have to deal with the security risk.

Abby White: Once AI starts changing the stack, the next concern is pretty obvious: How do you keep increasingly capable AI systems from becoming a risk inside your own environment?

That leads us to our third article by contributor Lynn Hooghiemstra, “Keeping Your AI Agent in Line: Essential Security Measures for Enterprise AI Deployment.” This addresses one of the most immediate enterprise AI questions right now. We’re not really asking anymore whether agentic AI is useful. It’s more about how to keep agents from behaving unpredictably or exposing sensitive systems and data.

It feels like we’re in a whole new era of AI than we were six months ago, or even three months ago, with agentic AI and AI agents. What is the threat now that so many organizations and IT teams are using them?

Theresa Houck: This is a strong piece because Lynn explains how AI agents can go rogue and how to avoid those problems. She cites examples like an AI agent deleting a critical database in just nine minutes, which is frightening, or an agent leaking sensitive information to outside systems.

Organizations need to treat AI agents like first-class identities, not vague automation helpers. This story is especially timely because it frames AI security as a day-zero issue, not a cleanup job. That means as soon as you find out about it, you have to deal with it right away.

Abby White: We’ve all seen some of those horror stories in the news recently, so it is happening. It’s important for companies, and especially IT leaders, to highlight this risk to executive teams and boards. Nobody wants to be on the front page with news like that for their company.

Enterprise AI gets more dangerous the moment organizations treat governance as optional. That leads us to the next story, another one of yours, Theresa. This one steps back from any single tool or vendor and looks at the bigger job for IT leaders: deciding which changes are strategic enough to act on now. The article is “6 Top IT Tech Trends in 2026 and How To Turn Them Into Business Strategies.”

There are a lot of tech trends out there. How did you pick these six? Why were they the most important ones for our audience to know about?

Theresa Houck: In researching it, you can find hundreds or maybe thousands of articles and blogs about the top trends. I picked the ones that seemed to directly affect IT leaders and how they do their jobs.

To me, it doesn’t matter if we’re reading something because it’s interesting. How can you use the information? Why waste your time just browsing what a trend is? I picked the ones that are actually happening, that are influencing what’s going to happen in the next few years, and that can be used to help with strategy.

I think this article resonated with readers because it turns what seems like nice-to-know trend information into actionable intelligence. IT leaders can use it to connect emerging technologies directly to strategy, hopefully before competitors figure it out.

Abby White: There are a lot of trend stories out there, so it’s easy for leaders to think they don’t need to read about this or that they’ve already heard about it. But we cannot ignore the reality that AI is reshaping infrastructure, software development, governance, security operations and data management. IT leaders need to know how those trends affect day-to-day jobs.

The point of tracking these tech trends is not just to have something to talk about around the water cooler, if you’re still talking around the water cooler. It’s to make better business decisions sooner and inform the rest of the C-suite about what your company needs to stay on top of.

Theresa Houck: Yeah, and it’s both what your peers are doing and what the tech leaders are doing, so you can make decisions about budgeting, infrastructure, cloud investments, vendor evaluations, workforce issues and other issues you’re dealing with.

Abby White: That segues nicely into our last article, another one of yours: “How IT Leaders Can Create an Effective Data Governance Strategy.”

It seems like data governance has moved beyond compliance. It can never be just a reactive approach. IT leaders are being asked to treat data as a more strategic asset because it affects AI performance, analytics, security, trust and decision-making across the entire business. How has that changed for IT leaders?

Theresa Houck: This has happened over the last few years, so it isn’t new, but governance isn’t just about policies. It requires ownership, standards, quality control and accountability. It needs to be continually updated, not just set and left as it is.

Poor governance creates downstream problems in visibility, trust and business performance. I enjoyed writing this story because automation and AI-powered governance tools are critical, especially as hybrid cloud and AI environments keep getting more complex.

This piece lists useful steps for building a clear strategy, including getting executive buy-in, cross-functional collaboration, improving data visibility and using automation tools.

Abby White: What I liked about your story is that sometimes it’s tempting across an organization to look at policies as documents that exist in a folder — something we’re all supposed to be following. But people outside IT don’t always think about the potential results of their actions if they violate those policies.

This story resonated because it focuses on how IT leaders can build a strategy instead of just talking about why governance matters. Data governance works best when it’s treated as operating infrastructure for the business, not just a compliance side project the IT team needs to worry about.

Theresa Houck: Cross-functional collaboration is about making sure employees at all levels and in all functions are following the guidance and not thinking it’s something that isn’t important to them. Data governance helps enable trust and smarter decision-making, especially in the AI environment.

Abby White: Looking across these five stories, these are the things that resonated most with our audience and that readers shared with their colleagues. 

Theresa Houck: I think the common takeaway is that nothing is about speed alone. It’s control, judgment and readiness to make sure you’re ready for the AI environment, both from a functional aspect to meet the business outcomes your organization wants and to fight the security risks that AI attackers now have.

Abby White: Absolutely. Theresa, thank you for joining me today.

Theresa Houck: Thank you. It’s always a pleasure.

*Transcript lightly edited for clarity and brevity