UC Today

In this UC Today interview, host Kieran Devlin speaks with Volker Pfirsching, Partner and Head of Innovation Management (Europe) at Arthur D. Little. Together, they unpack a hard truth many CIOs are now confronting: the biggest barrier to digital transformation isn’t access to technology—it’s the way IT is organized.

If you’re navigating AI adoption, cross-functional delivery, and growing pressure to show outcomes (not activity), this conversation is worth your time. Digital transformation is accelerating—but many enterprises are still structured for a slower era. Volker Pfirsching explains why traditional IT silos create more coordination overhead than value, and what CIOs can do to shift from “service provider” to orchestrator of outcomes across internal teams and external partners.

Key takeaways include:

How siloed IT creates friction through handovers, delays, and misaligned priorities in end-to-end digital journeys

What the hybrid network model looks like day-to-day, with business and IT fused into true product-centric teams

How leading CIOs balance autonomy with enterprise guardrails to avoid an “IT Wild West” (security, architecture, governance)

Why operating model change fails without culture change—and how to align incentives, roles, and leadership routines

Join Kieran Devlin, Host at UC Today, as he sits down with Tim Jalland, Solution Manager at VOSS, to unpack the rapid evolution of IT operations. As cloud environments like Microsoft 365 undergo hundreds of feature changes a year, static automation is struggling to keep pace. This session cuts through the AI hype to explore practical, outcome-driven solutions. Tune in to see exactly how intelligent automation fabrics can empower your IT team, prevent outages before users even notice them, and secure complex collaboration ecosystems.
The landscape of unified communications is shifting rapidly, and IT teams need more than just basic automation to keep up. In this conversation, we explore how an intelligent operations layer changes the day-to-day reality for IT professionals.
Key takeaways from our discussion include:
The limits of traditional automation: Why the sheer volume of updates in platforms like Microsoft 365 requires a shift from static orchestration to dynamic, learning-capable operations.
AI as an operational assistant: Moving past "AI as a feature" fatigue to focus on tangible outcomes, using agentic AI to proactively support IT teams rather than replace them.
Breaking down IT silos: How unifying automation, analytics, and monitoring on a single platform allows for cross-stack intelligence—catching and correcting negative trends before monitoring dashboards even flash red.
Real-world proactive fixes: Tangible examples of AI detecting service degradation before a user ticket is raised, and automatically correcting configuration drift to eliminate security risks.
Related Stories: 
 The Intelligent Control Plane: Why Cloud UC and Microsoft 365 Operations Must Move From Automation to Autonomy
Practical AI Use Cases to Transform Cloud UC and Microsoft 365 Operations

In this executive conversation, Marcus Law is joined by Dan Nadir, Chief Product Officer at Theta Lake, and Irwin Lazar, President and Principal Analyst at Metrigy, to explore how generative and agentic AI are creating entirely new categories of governance risk.

The discussion covers why monitoring isolated prompts and outputs is no longer enough, and why organizations need forensic-level analysis of interaction patterns over time. From behavioral drift and intent detection to the growing complexity of agentic AI, this conversation sets out what enterprises need to be thinking about — and doing — right now.
Topics Include:
why only 58% of organizations have a proactive AI governance strategy
how traditional DLP systems miss subtle data probing and intent-based risks
what behavioral drift looks like in practice, how agentic AI blurs the line between human and machine accountability
practical steps CIOs and CISOs can take in the next 60 to 90 days.

In this interview, Christopher Carey sits down with Snorre Kjesbu from Cisco to unpack AI’s real impact on the employee experience. Snorre makes the case that AI is an antidote to burnout, not a cause of it – freeing employees from busy work so they can focus on strategy, creativity, and the harder intellectual challenges.

He also introduces the concept of “connected intelligence,” where collaboration is no longer just people-to-people but now includes people-to-AI and AI-to-AI interactions. The conversation covers how organisations are navigating AI adoption across their workflows, why cultural change is often harder than the technology itself, and what the next two to three years will bring – from AI agents becoming regular participants in meetings to IT teams gaining new superpowers through agentic AI and smarter manageability tools.

Join UC Today’s Kieran Devlin as he sits down with Brad Hintze, Executive Vice President of Global Marketing, and Joel Mulpeter, Senior Director of Product Marketing at Crestron. While the tech industry is understandably captivated by cloud-based software like Copilot and Zoom AI Companion, this insightful conversation shifts the focus to the physical foundation that makes these tools actually work. If you want to understand why true AI scalability requires robust, purpose-built hardware and edge computing, this session is an absolute must-watch for IT and AV leaders.
In this engaging discussion, the Crestron team unpacks the reality of deploying AI across enterprise meeting spaces. They reveal why prioritizing purpose-built compute and intelligent audio over IP is the secret to avoiding the "garbage in, garbage out" trap of AI transcription and collaboration tools.
Key takeaways from our conversation include:
The Shift to Edge AI: Why relying solely on the cloud is inefficient, and how integrating Neural Processing Units (NPUs) at the edge enhances security, reduces latency, and processes complex tasks like facial and voice recognition directly in the room.
AI as the Installer: How Crestron leverages computer vision, auto-measure technology, and ArUco markers to drastically slash room commissioning time from hours to mere minutes, democratizing broadcast-quality video across the business.
Solving the Audio Challenge: An inside look at Crestron's scalable audio-over-IP processor, designed to minimize "time to audio" and deliver the crystal-clear acoustics that AI transcription tools demand to function accurately.
Future-Proofing for 2027: Strategic advice for IT leaders on standardizing room platforms and investing in hardware with enough compute headroom to support the rapidly evolving AI software landscape.