C-level IT executives share their strategic insights and expertise on making critical, real-world decisions that will shape the future of their companies. This blog is part of the Foundry Expert Contributor Network. Want to join? Learn more at www.cio.com/expert-contributor-network/
Agile leadership helps you stay steady in chaos, make quicker calls, and keep your team aligned, energized and moving together when everything shifts.
If you want your CTO to thrive, pull them into shaping strategy early — real integration is what turns tech leadership from stalled to unstoppable.
Modern ERP can’t be a dusty relic — CIOs need modular, AI-powered systems that flex with the business instead of slowing it down.
Practical advice to evolve from pilots to production in the new year.
AI is playing out just like the cloud did — use the big platforms, build on top of them and let fast feedback steer the innovation your teams actually need.
Banks are losing customers because their old tech is slowing them down, and only a real digital rebuild will fix the experiences people expect.
Agentic AI is quietly killing the busywork in IT and hiring, shrinking outages and wait times so teams can finally focus on the work that actually matters.
CIOs win when they ditch vanity metrics and use a scoreboard that clearly shows how tech choices actually drive the business forward.
Behavioral drift sneaks in as systems and people evolve, so CIOs must watch for quiet shifts that can either hurt performance or spark new opportunities.
AI isn’t just changing tech — it’s changing leaders, pushing them to slow down, build trust and rethink how people and machines grow together.
When compliance is baked into how systems work, it stops slowing teams down and starts giving businesses the trust and confidence to innovate faster.
AI shopping agents are quietly redefining how consumers buy and how companies sell. CIOs who prepare now will shape the next era of digital commerce.
Enterprise trust must evolve to meet the unique security challenges of autonomous AI agents.
Growing too fast breaks more than servers, so the trick is knowing your real metrics, fixing your data and scaling only when your product’s actually ready.
APIs are about to think for themselves, shifting integration from rigid rules to smart, adaptive systems that learn what your business needs in real time.
Even the best AI productivity projections can be misleading if they overlook human effort, adoption pace and risk. A finance-inspired approach can bring discipline to the hype.
Agentic AI is becoming the ultimate supply-chain sidekick, tackling hard, messy tasks so teams get faster, smarter and way more resilient operations.
Turns out the biggest win in digital transformation wasn’t adding shiny tools — it was ditching the extras so people could finally work smoothly again.
AI stops being a demo when CIOs wire it into the whole GTM flow, turning customer signals into faster deals, stronger pipelines and real revenue wins.
If you’re measuring AI by productivity, you’re missing the point — the real power is in reclaiming the time you’ve been silently sacrificing.
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