UC Today

In this episode of UC Today, Kristian McCann sits down with Vishnu Shankar, Chief Data Officer at Draup, to explore why hiring, workforce planning, and skills strategy have moved beyond HR and into the CFO's office. 

As AI agents, automation, and evolving regulations transform the workplace, organizations can no longer think about recruitment as simply filling vacancies. Every hiring decision now carries implications for productivity, operational costs, compliance, and long-term business performance. Yet many businesses are still relying on outdated workforce planning models that fail to account for the growing role of AI alongside human talent. 

Vishnu explains why companies need to rethink how work itself is structured, moving away from traditional hiring frameworks towards AI-augmented operating models that combine people, software, automation, AI agents, and partners.  

Key discussion points include: 

Why AI has transformed hiring decisions into strategic financial decisions for CFOs and boards.  

How organizations should move beyond the traditional "build, buy, borrow" workforce model to embrace AI agents, automation, software, and human talent together.  

Why measuring ROI from talent now means focusing on productivity, augmentation, and business outcomes—not simply headcount or cost reduction.  

Practical steps organizations can take to build AI-ready workforce strategies while managing governance, compliance, and future skills.  

Next Steps 

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In this episode of UC Today, host Kristian McCann sits down with Nick Gonios, VP of Learning Transformation and Company Ambassador at TalentLMS, to explore one of the biggest hidden challenges in corporate learning: the Completion Trap. 

As AI rapidly transforms the workplace and organizations race to reskill their workforces, traditional learning metrics are increasingly falling short. Completion percentages and attendance figures may look impressive on a dashboard, but they reveal very little about whether employees can apply what they've learned to improve business outcomes. 

In this conversation, Nick explains why organizations have become fixated on measuring learning activity instead of learning impact, how outdated KPIs continue to reinforce the problem, and why this disconnect is creating friction, reducing productivity, and slowing organizational transformation.

Key topics covered include:

Why course completion is a poor indicator of real learning and competence.
What TalentLMS' latest research reveals about learning metrics, employee behavior, and business impact.
How AI can move beyond content creation to deliver personalized, relevant learning experiences.
Practical steps organizations can take to align learning initiatives with productivity and business outcomes.

Next Steps

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In this episode of UC Today, host Kristian McCann sits down with Magen Gicinto, Chief People Officer at Nisos, to discuss one of the fastest-growing threats facing technology companies: fraudulent job applicants linked to nation-state operations.

Drawing from her own experience interviewing a suspected North Korean operative for a technical role, Gicinto provides rare insight into how these actors navigate recruitment processes, leverage AI-powered deception, and gain access to organizations.

For HR leaders, hiring managers, security teams, and business executives, this conversation offers a practical look at a threat that extends far beyond talent acquisition and into enterprise risk, data security, and operational resilience.

Key discussion points:
🔵 Magen's firsthand experience interviewing a suspected North Korean operative using an apparent deepfake identity.
🔵 The red flags hiring teams should look for before, during, and after the recruitment process.
🔵 How AI-generated resumes, synthetic identities, and deepfake technology are changing employment fraud.
🔵 Why remote technology roles are a prime target and how organizations can strengthen identity verification processes.

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In this UC Today interview, host Kristian McCann sits down with Irwin Lazar, President and Principal Analyst at Metrigy, and Josh Blalock, Global Director of Alliances & Engagement at Shure, to unpack a growing issue in enterprise collaboration: why AI-powered productivity tools are failing to deliver without the right infrastructure underneath.
AI is transforming how work gets done, but if your meeting rooms can’t keep up, you’re leaving value on the table. In this discussion, Metrigy and Shure break down why collaboration infrastructure, not AI itself, is the real bottleneck.
Discussion Includes:
Why “good enough” audio and video fail in an AI-driven workplace, where accuracy fuels downstream insights and automation
How outdated hardware cycles (3–5 years) clash with rapid AI innovation across platforms like Microsoft Teams and Copilot
Where collaboration breakdowns really happen, from BYOD setups to poor content sharing and fragmented workflows
The rise of meeting data as a business intelligence asset, and why capture quality now impacts compliance, decisions, and culture
If you’re investing in AI but not seeing the returns, this is the missing piece.
Next Steps:
Audit your meeting rooms for audio, video, and device integration gaps
Align hardware refresh cycles with AI software innovation timelines
Explore solutions that enhance full-room capture and AI-ready data accuracy at https://www.shure.com/en-GB/solutions...

In this UC Today interview, Marcus Law speaks with Bill Dellara, Chief Product Officer at VOSS, about why meeting room analytics has become a critical issue for IT, workplace, and real estate leaders navigating hybrid work.
Bill explains why booking data often shows intent rather than reality, and how unused or poorly utilized rooms can quietly undermine return on investment, employee experience, and workplace planning. The discussion explores the problem of “phantom space,” the rise of heavily favored “hero rooms,” and the importance of combining booking data with telemetry, occupancy signals, environmental data, and equipment usage insights.
The conversation also looks at how smarter analytics can improve room recommendations, support better hybrid working decisions, and help organizations understand whether their meeting spaces are genuinely fit for purpose.