UC Today

In this episode of UC Today, host Kristian McCann is joined by Nada Usina, CEO of NU Advisory Partners, to explore how AI is fundamentally changing executive hiring. As technology rapidly changes the skills workforces need, organizations can no longer rely solely on traditional hiring signals like prestigious résumés, familiar career paths, or industry tenure. Instead, companies are being forced to rethink how they identify leaders capable of navigating constant technological disruption. 

Nada explains how AI is reshaping leadership requirements, why adaptability and curiosity are becoming more valuable than experience alone, and how data-driven hiring is helping organizations uncover talent they may have previously overlooked. 

If you're wondering what executive hiring should look like in the fast-moving AI era, this interview provides practical advice on assessing learning agility, critical thinking, decision-making, and future potential, helping organizations build leadership teams equipped for the next wave of business transformation. 

Key discussion points: 
🔵 Why executive roles are evolving every 12 to 18 months and what that means for hiring strategies.  
🔵 How curiosity, learning velocity, adaptability, and critical thinking are becoming more valuable than traditional résumés.  
🔵 Why hiring mistakes create business-wide consequences, from stalled innovation to employee disengagement and lost investor confidence.  
🔵 How AI and data are expanding executive talent pools while helping organizations make faster, more informed hiring decisions.  

If you found this discussion valuable, like the video, subscribe to UC Today, and turn on notifications for more expert conversations covering AI, leadership, enterprise technology, and the future of work.

For more Unified Communications & Collaboration Tech News visit https://www.uctoday.com/

In this episode of UC Today, host Kristian McCann sits down with Sam Wright, Head of Career Strategy at Huntr, to separate fact from fiction when it comes to AI in hiring, from both sides of the equation. 

Drawing on analysis of 1.7 million job applications, 1 million job postings, and 243,000 résumés, plus hundreds of conversations with job seekers and recruiters, Wright offers a rare data-driven look at how hiring actually works in 2026. 

The discussion explores the growing tension between AI-powered applications and human-led hiring decisions, the increasing volume of applications recruiters face, and the challenges organizations face as they introduce AI into talent acquisition processes.  

Key discussion points: 
🔵 Why most recruiters say AI is not automatically screening out candidates despite widespread fears among job seekers 
🔵 How application volumes, Easy Apply tools, and a tougher job market are making it harder to secure interviews 
🔵 Where AI is actually being used today, from job descriptions and communications to emerging candidate-ranking tools 
🔵 The growing debate around AI bias, transparency, discrimination risks, and the safeguards organizations need to implement 

Subscribe to UC Today for more conversations on AI, recruitment, workplace technology, and digital transformation

For more Unified Communications & Collaboration Tech News visit https://www.uctoday.com/

AI is transforming the way we work – but is it making life easier or adding to the pressure? 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.

For more Unified Communications & Collaboration Tech News visit https://www.uctoday.com/

AI interactions are introducing behavioral risks that traditional DLP and rule-based systems were never designed to detect. 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, and practical steps CIOs and CISOs can take in the next 60 to 90 days.

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.

Next Steps: Ready to transform your UC operations? Visit VOSS to learn more.