UC Today

In this episode of UC Today, host Kristian McCann sits down with Eric Wiggins, Product Marketing Director at Smarsh, to explore why AI capture is becoming the foundation of both compliance and business intelligence in financial services.

As generative AI becomes embedded across everything from client communications and portfolio analysis to employee productivity, many firms still lack visibility into how these tools are being used.

Throughout the discussion, Wiggins outlines why firms need a unified capture layer that records AI prompts, outputs, metadata, and related communications across platforms such as ChatGPT Enterprise, Microsoft Copilot, and Claude Enterprise.

Key discussion points:

• Why the biggest AI governance gap is the lack of captured evidence—not a lack of AI policies.
• The record-keeping, supervisory, privacy, and discovery risks firms face when AI interactions are not captured.
• Why policy and employee training must be supported by comprehensive AI capture to deliver effective governance.
• How Smarsh creates a unified governance layer across AI platforms and communication channels.
• How captured AI interactions become a valuable source of business intelligence, helping firms identify adoption trends, workflow improvements, and new opportunities.
• Why organizations that build AI governance early will be able to innovate faster while maintaining regulatory trust and gaining a competitive advantage.

For years, voice was the blind spot in communications compliance – too voluminous to review manually, too complex to capture properly, and not yet on regulators' enforcement radar. That has changed.

In this episode of UC Today, Christopher Carey sits down with Daniel Yates, Voice SME at Global Relay, to discuss why the regulatory posture on voice has shifted, what misconceptions firms still carry, and how advances in AI and large language models are making voice surveillance viable at scale. From non-financial misconduct to real-time intervention, this is a conversation every compliance and UC leader in a regulated industry needs to hear.

In this episode of UC Today, host Kristian McCann is joined by Chris Harris, EMEA Technical Director for Data and Application Security at Thales to discuss why enterprises need to begin preparing for the quantum era now. 

The discussion goes beyond the hype surrounding quantum computing to explain the very real challenges.If you're responsible for cybersecurity, IT infrastructure, compliance, risk management, digital transformation, or technology strategy, this conversation offers practical guidance on where to start, and why waiting could prove far more expensive than preparing.

Key discussion points include:
🔵 Why "steal now, decrypt later" attacks mean sensitive data is already at risk—even before practical quantum computers exist.
🔵 Which industries, systems, and types of information should be prioritized for post-quantum protection.
🔵 How organizations can discover where cryptography exists across their infrastructure and build a realistic migration strategy.
🔵 Why crypto agility, vendor collaboration, and phased modernization will define successful quantum security programs.

Visit UC Today for the latest news, analysis, and interviews covering the future of enterprise IT and communications.

Kristian McCann sits down with Chris Scimone, Director, Solutions Architecture & Engineering at New Era Technology, to answer one of the biggest questions facing organizations investing in AI for customer experience: where should you start?

Many contact centers understand the potential of AI, but identifying the right first use case can be challenging. Should organizations focus on customer-facing automation? Agent assistance? Self-service? And how do they ensure early deployments can be expanded upon as the operation scales?

Chris shares practical guidance drawn from real-world deployments, explaining why successful AI initiatives often begin by supporting agents behind the scenes before expanding into broader automation.

Key discussion points:

• How organizations can identify the best first use cases for contact center AI

• Why AI assistants are often the ideal starting point for adoption

• The metrics that matter most when measuring AI success and customer impact

• How to scale AI deployments while maintaining visibility, performance, and governance

Next steps:

Visit New Era Technology to identify the biggest friction points affecting customers and agents

In this episode of the Big UC Update, UC Today's Christopher Carey sits down with Will Morey, Managing Director at Gamma, for a wide-ranging conversation on the state of the channel, the rise of AI, and what it really takes to deliver technology that works for SMEs.

Will shares his journey from selling diesel to farmers to leading Gamma's channel business, and unpacks why the biggest opportunity in the industry right now isn't a product - it's helping customers figure out how to make AI actually work for their business.

Topics Covered Include:

• Gamma's channel-first go-to-market and partner ecosystem
• Why AI should be treated like electricity, not a product
• The "iceberg model" — what sits below the waterline with Gamma
• Data sovereignty, compliance, and why they're suddenly front-of-mind for SMEs
• The PSTN switch-off, CX, and what's next for the UC industry

In this Big UC Update interview for UC Today, Marcus Law speaks with Dan Nadir, Chief Product Officer at Theta Lake, about how enterprises are rethinking compliance, security, and archiving for modern communications.

Dan explains how Theta Lake helps regulated organizations capture, archive, and supervise communications across collaboration platforms, including Zoom, Microsoft Teams, Webex, RingCentral, Cisco, and Workvivo. He also discusses the fast-growing role of AI governance, the risk of configuration drift, and why compliance teams need more than basic retention policies to manage today’s digital communications.

The conversation explores how Theta Lake’s AI-native platform supports digital communications governance and archiving, detects risk across multiple channels, and helps firms prove that content has been captured and retained correctly. Dan also shares how the company is evolving its platform to support new communication types, AI interactions, legal discovery, and regulated customer needs around the world.

For UC and collaboration leaders, the message is clear: as communication channels multiply, compliance needs to become more intelligent, more connected, and easier to operationalize.

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

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...