Big UC Update 2026: VOSS

Why Employee Wellbeing Should Start with Data Visibility, Not Perks

In this UC Today interview, host Kristian McCann speaks with Callum Pennington, CEO & Co-Founder of HBHR, to unpack a growing issue facing modern organizations: employee wellbeing that’s treated as a bolt-on rather than a business-critical priority.  If you think wellbeing is about perks, think again. This discussion reveals why the fundamentals—like accurate pay, workload visibility, and unified data—are the real drivers of trust, engagement, and retention.  Pennington joins UC Today to explain why organizations need to rethink how they approach wellbeing from the ground up. Key points: 🔵 Why “bolted-on” wellbeing strategies fail to address root causes like payroll errors and workload imbalance 🔵 The role of unified HR, payroll, and operations data in identifying burnout before it’s too late 🔵 Eye-opening stats: one in three employees are one paycheck away from financial crisis 🔵 How AI-powered alerts helped uncover a costly payroll error—paying a former employee for 18 months For more leadership and workplace insights, visit UC Today and explore related stories and interviews. Join the UC Today LinkedIn community at linkedin.com/groups/9551264 and subscribe to the newsletter at uctoday.com/register. For more Unified Communications & Collaboration Tech News visit https://www.uctoday.com/

Frontline-First Communications: Connecting the Workforce Where It Matters Most - Mitel

In this interview, Mitel CTO Luiz Domingos discusses why frontline-first, voice-first communications are becoming essential operational infrastructure — and why organisations can no longer afford to connect their entire workforce with the same one-size-fits-all tools. The conversation covers how embedded, real-time communications enable faster decisions, safer work, and better outcomes; why voice is making a strong comeback as the interface of choice in hands-free environments; where AI adds the most practical value for frontline workers; and how hybrid and edge architectures ensure resiliency, security, and control in mission-critical environments. Luiz also shares the biggest mistakes organisations make when modernising frontline communications — and how to avoid them.

Cisco TMS Sunset: Why the Obvious Next Step Isn’t Always "the Cloud"

Cisco TMS is approaching end of life, and organizations across the enterprise collaboration landscape are now facing major decisions about the future of their video infrastructure. In this episode of UC Today, Kristian McCann speaks with Giles Adams, CEO at VQ Communications, about the real-world impact of the TMS transition, the growing divide between cloud and on-prem strategies, and why regulated industries are taking a far more cautious approach to collaboration infrastructure. From government agencies protecting sensitive communications to enterprises balancing operational resilience with modern cloud innovation, this conversation explores the practical and strategic implications behind one of Cisco’s biggest ecosystem shifts. Key discussion points include: 🔵 Why Cisco TMS end of life is creating urgency for enterprises and channel partners 🔵 The growing importance of sovereign, air-gapped, and on-prem video environments 🔵 How Cisco Control Hub compares with alternative migration paths 🔵 Why analytics, automation, compliance, and device management are becoming critical priorities For more Unified Communications & Collaboration Tech News visit https://www.uctoday.com/

Picking a Winner: Why Formula E Selected HiBob's HCM Platform

In this UC Today conversation, host Kristian McCann speaks with Hayley Mann, Chief People Officer at Formula E, about why the all-electric racing series picked HiBob with its people operations. Formula E is not just managing people; it is supporting a workforce that spans the world, operates under pressure, and needs tools that make leadership easier, not heavier. Hayley explains why HiBob stood out to help with this, how its AI performance management was a key feature in the procurement process, and what good looks like as the partnership evolves. Key topics include: 🔵 Why Formula E needed one platform to unify HR, employee experience, and manager workflows. 🔵 How HiBob’s culture fit, mobile usability, and AI-enabled performance tools helped tip the decision. 🔵What “embed and involve” means when you’re trying to make people processes part of the day job. 🔵The 12-month roadmap for talent, workforce planning, and freeing up the people team for more strategic work. Watch to hear how market-leading companies like Formula E approach vendor selection and platform consolidation. Look for the practical takeaways on non-negotiables, employee experience, and using technology to support high performance rather than adding friction.

AI-Driven SOCs: What PwC Is Seeing and What Security Leaders Should Do

AI is reshaping the security operations center (SOC), shifting it from a manual, reactive function into a faster, intelligence-driven environment. For organizations dealing with alert fatigue and limited analyst capacity, AI is becoming a practical tool for improving how threats are identified and managed. In this UC Today discussion, Kristian McCann speaks with Morgan Adamsky, Principal at PwC, to explore how enterprises are operationalizing AI in the SOC.  Adamsky brings a pragmatic perspective, focusing on how AI can be deployed responsibly. Her insights center on aligning technology with people and process, ensuring AI enhances rather than complicates decision-making in high-pressure environments. From Hype to Operational Reality Traditionally, analysts have had to manually review large volumes of data, often taking significant time to identify real threats. AI is changing that by rapidly surfacing anomalies and prioritizing potential risks, helping teams respond faster. Adoption, however, varies widely. Many organizations are still taking a “bolt-on” approach, adding AI into existing workflows. More advanced organizations are rethinking the SOC entirely, treating AI as a “force multiplier” and designing operations around it from the outset. This gap highlights different levels of maturity. While some are experimenting, others are investing in deeper transformation, a move Adamsky suggests will deliver greater long-term value, particularly as attackers also leverage AI to accelerate their efforts. Challenges remain. Organizations must integrate AI across the full security lifecycle, ensure outputs can be trusted, and train teams to use it effectively. As Adamsky notes, the human factor is still a key hurdle in scaling adoption. Building a Smarter, Safer SOC To manage these challenges, organizations are introducing clearer boundaries between AI and human decision-making. AI can handle tasks like initial triage, but critical actions such as containment or shutting down systems typically require human validation. This human-in-the-loop approach helps maintain trust while still benefiting from automation. It ensures that AI supports, rather than replaces, human judgment in high-stakes scenarios. Adamsky also outlines what effective implementation looks like. This includes combining threat intelligence, vulnerability data, and network activity into a unified view. AI then helps identify patterns and surface meaningful insights, enabling more informed decisions. She also points to three priorities: faster vulnerability management, stronger third-party risk oversight, and preparing for breaches. The latter reflects a growing recognition that incidents are increasingly likely, making readiness essential. From Experimentation to Transformation The discussion makes clear that incremental adoption is not enough. While bolt-on AI can deliver short-term gains, long-term success requires rethinking the SOC as a whole, with AI embedded across workflows. At the same time, core cybersecurity fundamentals still matter. Practices like patching, testing, and incident planning remain critical, but must now operate at greater speed to keep up with AI-driven threats. For security leaders, the focus should be on both technology and people. That means investing in tools while also upskilling teams and adapting processes to fully leverage AI. Ultimately, organizations that treat AI as foundational rather than optional will be better positioned to keep pace in an increasingly automated threat landscape.