UC Today

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.

Join UC Today host Kieran Devlin as he sits down with William Rubio, Chief Revenue Officer at CallTower, and Elka Popova, Vice President and Senior Fellow at Frost & Sullivan. As AI features rapidly light up across communications platforms, internal IT governance models are struggling to keep pace. This insightful session dives into the hidden vulnerabilities of "shadow AI" and the messy reality of multi-vendor environments. If you're looking for a practical approach to standardizing policy, monitoring data usage, and holding vendors accountable without suffocating innovation, this conversation is essential viewing.
The rush to implement AI in Unified Communications (UC) and Contact Center (CCaaS) platforms is outpacing IT's ability to safely secure it. When different teams own different parts of a fragmented tech stack, compliance risks multiply, and traditional governance breaks down. William and Elka break down the real-world friction of enterprise AI adoption and share practical strategies for maintaining control.
Key takeaways from our discussion include:
The Threat of Shadow AI: How personal use of unauthorized AI tools and a lack of specialized AI skillsets within IT departments are exposing organizations to hidden data vulnerabilities.
Navigating Multi-Vendor Sprawl: Why a "one size fits all" approach fails, and how to maintain unified, proactive governance across complex hybrid environments featuring platforms like Microsoft, Cisco, and Genesys.
Building a Culture of Compliance: Moving beyond the annual "check-the-box" mentality to create dynamic, ongoing security protocols that secure buy-in from business leaders across the organization.
Vetting Your Vendors: The critical questions IT and CX buyers must ask during procurement regarding technology roadmaps, industry-specific expertise, and global data sovereignty.

In the first episode of the UC Today AI & Productivity Show, Marcus Law hosts a roundtable on what AI productivity looks like in the real world — what’s delivering value today, what’s still not landing, and what leaders should focus on next.

Marcus is joined by Tom Arbuthnot (Founder, Empowering.Cloud & Microsoft MVP), Mark Nixon (AI Business Solutions Go-To-Market Lead, Microsoft UK & Ireland), and Andreas Welsch (Founder & Chief AI Strategist, Intelligence Briefing).

The discussion covers:
🔵 What organisations are actually doing with AI productivity and automation right now
🔵 The Microsoft Copilot/M365 direction that matters (beyond the headlines)
🔵 AI agents: what’s real in enterprise, what’s still early, and what good governance looks like

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