Insight On

GitHub Copilot's billing model changed on June 1 — and most enterprise teams are about to see their first full bill under the new system.  For many organizations, it'll be the first real look at what AI adoption actually costs at scale .   The shift from flat-rate to usage-based billing sounds straightforward. Pay for what you use. But what your team is "using" turns out to be a lot more complicat...

The 90-day patch cycle was never perfect. But it worked because the window between a vulnerability being  disclosed  and an attacker building a working exploit was  sufficient   time  for most organizations to respond. Frontier AI models like  Anthropic ' s  Mythos have closed that window.  Now  w e ' re   talking  hours.  Possibly minutes .   That ' s  not a headline.  That ' s  the operating rea...

WestJet crews used to carry their entire job s  in heavy tote  bag s   — paper manuals, paper shift trades, policy updates inserted page by page. It was tedious, inefficient, and everyone knew it had to change.   This is the story of what happened when WestJet went all-in on Apple devices across every cockpit and cabin.  It's  a story about a  former  flight attendant  from a  500-person town in  ...

Enterprise AI deployment is moving fast — and most organizations feel like  they're  already behind. This episode breaks down what separates companies making real AI progress from those stuck in strategy mode, and what you should demand from any partner before you commit.   You'll   find out  what  leaders  across  industries  are  asking about agentic AI, why agent sprawl is the new  shadow  IT,...

AI training for creative teams fails when it ignores the real barrier s :  P eople  don't  know where to start, and  they're  afraid  they'll  automate themselves out of a job. Samuel Archibald,  d irector of AI at the Sherlock Company, built an entire AI enablement program from scratch — gamified learning modules, multi-agent grading systems, prompt auditing tools — and hit a 93% completion rate...

    You distributed AI licenses across your organization and expected adoption to follow. Instead, employees are using it for basic search — or not at all. The gap between "here's the tool" and "this changed how I work" is where most AI investments quietly die.   In this episode, John Veltri — Managing Director of Insight's Google AI go-to-market — explains why that gap exists and what to do about...

Building AI agents for production means choosing how much autonomy to give them — and that answer keeps changing. Aakriti Bhargava, VP of  p roduct  e ngineering and AI at  Revionics , has spent 20+ years in applied AI. When generative AI arrived, the hardest part  wasn't  building features. It was a security conversation she  didn't  see  coming ,  and an architecture debate  that's  still evolvi...

Cloud migration for AI - readiness  isn't   just about moving  workloads —  it's  about removing the barriers that keep your teams from focusing on business value. Patrick Lea, SVP of  g lobal  c loud  o perations at  Revionics , led a full infrastructure migration to Google Cloud a year ahead of schedule,  consolidating  from  more than   130 vendors down to about 30 in just over two years.   Thi...

Planning a petabyte-scale cloud migration with zero customer impact sounds daunting — and Salesloft's VP of Infrastructure Clari/Salesloft did it in three months. Balaji Narayanan breaks down the planning discipline, pre-mortem process, and cutover strategy his team  used to migrate 110 databases across three regions to Google Cloud without a single customer feeling it.   This conversation covers...

AI trust in regulated industries  isn't  a compliance checkbox —  it's  an operational discipline you build into every iteration. Abhijeet Gulati,  h ead of AI at Mitchell (an  Enlyte  company), has spent nine years shipping AI into property and casualty insurance claims management, where accuracy is non- negotiable  and a wrong estimate has real financial consequences for real people.   In this c...

Generative AI is making it possible to process unstructured clinical data at  enterprise  scale for the first time.  HCA Healthcare's AVP of Data Science,  Sara Liao-Troth, PhD, MBA ,  explains how her team is extracting intelligence from doctor's notes, nursing handoffs and free-text records that  represent   roughly 50%  of HCA's patient data across 44 million annual encounters.   But the conver...

AI agents for non-emergency calls are solving a problem that policy, process changes, and hiring  couldn't  fix for  nearly a  decade. At 911 centers across the United States,  the majority  of  incoming calls are non-emergency inquiries — parking tickets, road obstructions, animal control  — handled by operators trained for life-or-death s ituations.  Viiz  Communications built conversational AI...

Most organizations spend months gathering requirements before a single line of code gets written. UC Riverside's CIO Matthew Gunkel is compressing that entire cycle into a single day — running live design sessions where stakeholders walk in with a problem and walk out with a working application spec built in real time using AI.   In this conversation, Gunkel explains why his AI strategy starts and...

Most organizations are sitting on fragmented data from dozens of sources with no fast way to normalize it, query it, or get answers. MERGE had the same problem — and what they built to fix it internally became a product their clients needed too.   In this conversation, Jason Dittmer, SVP of TechOps at MERGE, explains how his team built an automated pipeline on Google Cloud ( BigQuery , Looker, Gem...

Construction delays cost money.  An accidental u tility strike during excavation can  derail project  timelines . Daily safety conversations that become checkbox exercises put crews at risk. These are problems construction teams have dealt with for years — but until recently, the people closest to them had no way to build their own solutions.   AI changed that.   In this episode, Joseph Schultz, V...

Shadow AI agent risk has moved from information risk to operational risk in less than six months — and that shift means accountability no longer sits with the CISO alone. Vivek Menon, CISO and Head of Enterprise Data at Digital Turbine, explains why the COO, CMO, and CFO are now on the hook when an agent acts without human review.   In this conversation, you'll learn how shadow agent risk differs...

AI agent sprawl is one of the fastest-growing governance challenges for any organization with multiple teams building agents — and  Stagwell  solved it by building an internal marketplace.   In this episode, Merrill Raman, Global CTO of  Stagwell , explains how the company's network of 70+ marketing and advertising agencies build, publish, share, and license AI agents through a centralized Agent C...

AI agents are in every pitch deck and boardroom conversation — but the definition shifts depending on who's talking. In this episode, Miles Ward, CTO of AI at Insight, draws a hard line between chatbots and agents, explains what agent orchestration actually looks like in production, and gives you the three things you're "out of your mind" not doing right now. You'll learn the two-word test for whe...

Most enterprise AI factory deployments fail before they produce a single result — not because of the technology, but because of what companies skip before they build. James Karimi, CIO and CISO at GTT, shares the governance-first playbook that helped GTT stand up three AI factories across the US, EU, and UK in two months. The results? A two-week finance close reduced to one hour. Recruiters reclai...

Most companies are asking the wrong question about AI — and a Stanford researcher's field work shows exactly where the returns break down. Melissa Valentine, professor at Stanford University, senior fellow at the Stanford Institute for Human-Centered AI ,  and co-author of  Flash Teams , makes the case that AI workflow integration — not better prompting — is what separates real ROI from endless ex...

As AI shifts from experimentation to execution, the margin for "good enough" infrastructure disappears fast.   In this episode of Insight On,  Jillian Viner and Insight CMO Hilary Kerner check in on how AI sentiment has shifted over the past six months — from early experimentation to real pressure on teams, budgets, and expectations.   Then, Hilary sits down with Cisco SVP Tim Coogan for a deeper...

Canada produces world-class AI research talent — yet enterprise adoption still lags. In this episode of Insight On, Reem Gedeon, SVP and General Manager of Insight Canada, breaks down why that gap exists and what leaders can do next.    You'll  hear why 'AI sovereignty'  can't  be reduced to where a data center sits, why governance matters if people are already using AI personally, and why Canada'...

What if the real barrier to AI success in your organization is not the technology  — it is  how you lead it?   In this Insight On episode, host Rob Green sits down with Ethan Mollick, author of Co-Intelligence, to examine the hard truths about AI adoption in the enterprise. They unpack why individual productivity gains can be significant while organizational results lag — and what leaders can do d...

What does it take for a long ‑ standing financial institution to bet big on cloud and AI — and do it securely, at scale, in a highly regulated environment?    In this episode of  Insight On , host Jillian Viner talks with  Ian Beirnes, VP of IT Systems at Texans Credit Union , about their multi ‑ year journey from aging, on ‑ premise systems to a cloud ‑ first, digital workplace built on Microsoft...

There are two things most organizations skip when deploying Microsoft Copilot — and they happen to be the same two things that made Charles Schwab's rollout work. The first: structured discovery work done before a single license goes wide. Not assumptions about what employees need — actual conversations across the business about what's broken, what's too manual, and what no tool has ever fixed. Th...