The Bridgecast with Scott Kinka

Latest Episodes:

Beyond the Buzzwords: Making AI Work for UC Jan 06, 2026

Show notes

In this episode, host Scott Kinka sits down with Shane Cleckler, Director of Sales Engineering, and Jeff Martis, Senior Director of Product Management at Sangoma, to explore why hybrid deployments are the real differentiator in unified communications, how to meet customers where they actually are (not where vendors want them to be), and the key strategies for solving survivability and resilience without forcing migration to cloud. Whether you're rationalizing your post-pandemic collaboration spend or building a UC roadmap that actually works for your business, this conversation cuts through the noise with practical frameworks for evaluating cloud, on-premise, and hybrid options—plus why the most successful vendors are thinking like integrators again.
What you will learn:

Why hybrid UC deployments are a permanent "flavor" rather than a temporary stopgap measure
How to think about site survivability and network redundancy beyond just dual internet circuits
The real-world use cases where cloud-only solutions fail (hospitals, manufacturing, schools, law firms)
Why UC is about to annex adjacent domains like digital signage, video surveillance, and environmental sensors
The consultative approach to replacing outdated RFPs with business-outcome-focused solutions
How the industry has come full circle from product sales to integration to SaaS and back to solutions engineering
Why simplicity beats feature bloat in collaboration tools—and why 50 features means 45 you'll never use
Sangoma's partner-first strategy and why they meet partners "nine-tenths of the way"

About the Guests:
Shane Cleckler is the Director of Sales Engineering at Sangoma, bringing over 25 years of VoIP and unified communications expertise from the Dallas area. Since the late 1990s and early 2000s, Shane has been deeply embedded in the evolution of voice technology—from the days when people couldn't spell VoIP to today's integrated, cloud-native UC platforms. His philosophy centers on consultative selling: understanding business problems first, then architecting solutions that often combine multiple platforms rather than forcing customers into rigid product boxes. Outside of work, Shane is pursuing an unexpected passion: becoming a hot air balloon pilot.
Jeff Martis is the Senior Director of Product Management at Sangoma, representing the Philadelphia area with nearly 25 years in telecommunications. His career spans the entire arc of the industry's transformation, and he's worked across diverse customer segments—from large dealer partners to mom-and-pop bakeries, hospitals, schools, retail chains, and manufacturing plants. Jeff's product philosophy is refreshingly contrarian: he believes the industry needs fewer features, not more, and that simplicity leads to less regret and doubt. His reading list includes The Culture Code by Daniel Coyle, and his preferred productivity tool is decidedly analog: a physical notepad where he can experience the satisfaction of checking items off by hand.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/

Episode Highlights:

[04:42] You Already Have the Tools—Just Flip a Switch

When the pandemic hit, Sangoma customers frantically called asking, "We have remote workers now, what do we do?" Shane's response was simple: "You already have the tools, you just need to start using them." For many organizations, the capabilities for remote collaboration—voice, video, SMS, file sharing—were already embedded in their systems. They just hadn't activated them. The pandemic didn't create a technology gap; it exposed a utilization gap. Once customers started using these features, the floodgates opened. Suddenly, requests came pouring in: "I want this, I want that, and I want it all to look exactly how I want it." The lesson? Sometimes the barrier to digital transformation isn't technology—it's awareness and adoption.

[07:22] Cloud, Hybrid, or On-Prem: Meeting the Customer Where They Are

Sangoma's core differentiator in a crowded UC market is flexibility. While most providers are "a dime a dozen" in the cloud or have abandoned on-premise entirely, Sangoma offers cloud, hybrid, and on-premise solutions. This isn't just a marketing position—it's a strategic philosophy. Jeff explains: "We can meet the customer where they are. They might start in the cloud, realize they need something completely theirs, and then we can move them into a hybrid or on-prem environment." Many competitors viewed hybrid as a temporary stopgap or "straddling point," but Sangoma discovered that hybrid is actually a permanent "flavor" that customers swear by. It provides site survivability, control, and flexibility without requiring full-time IT staff to manage premise equipment. The takeaway? In a world obsessed with cloud migration, the smartest vendors recognize that one size doesn't fit all.

[09:58] Site Survivability: The Mission-Critical Feature You're Ignoring

When Scott challenged Shane on why customers need local survivability—"Can't I just build a redundant internet network?"—Shane's answer was brutally practical: "Redundant internet is fantastic, but it's not a total failsafe." He's seen cases where a trackhoe breaks both connections because they terminate at the same point in the building. For hospitals, manufacturing plants, schools, and law firms—organizations that simply cannot afford downtime—the hybrid model provides peace of mind. Even with dual internet circuits, you need local survivability to keep station-to-station communication up during outages. These customers aren't theoretical; they come to Sangoma after already experiencing these problems. The lesson for IT leaders: Don't optimize for cost. Optimize for resilience.

[14:35] AI Hype vs. Real Business Problems

When asked about AI, Jeff's response was refreshingly grounded: "What do you actually need to do? Let's not talk about what's possible; let's talk about your pain points." Too many companies are selling AI as a product rather than a solution to specific problems. Shane echoed this consultative approach, noting that customers often come in stuck on needing "X, Y, and Z" because that's what they've always had—sometimes based on RFPs written for strategic needs decades ago. The better approach? "Tell me what your business issues are and what you're trying to achieve, and let us create a solution." Sometimes that solution isn't a single platform; it's a culmination of multiple integrated tools. The AI conversation is the perfect example: Stop chasing buzzwords. Start solving problems.

[18:04] Full Circle: From Integrators to SaaS and Back

Scott made a sharp observation: "I feel like voice providers have almost gone back to being integrators. We went from integrators to SaaS platforms, and now the successful SaaS people are acting like integrators again." Jeff confirmed this pattern, comparing it to HGTV renovation shows where one house needs bold colors and the next needs neutrals. The UC world has cycled through bundled offerings, then a la carte pricing, and now back to bundled solutions. It's cyclical, and "the only constant is uncertainty." Sangoma's approach? Stay consistent by providing solutions, not widgets. Jeff recounted stories of customers on other systems who just needed firewall whitelisting fixes or better IT staff—and once that was resolved, they were fine. "I'm not trying to force people out of their comfort zone; I just want them to think about what they are trying to achieve rather than just following the latest market trend.".

Episode Resources:

Shane Cleckler on LinkedIn
Jeff Martis on LinkedIn
Sangoma Website
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

Network Strategy in the AI Era: What CIOs Need to Know Now Dec 16, 2025

Show notes

In this live episode of The Bridgecast, recorded at the Bridgepointe Tech Summit 2025 in Miami, host Scott Kinka welcomes Christopher Bonavita, VP of Strategy and Technology Adoption at GTT, to explore how connectivity and managed network services have evolved from infrastructure afterthoughts into mission-critical business enablers. Drawing on his journey from Accenture to Lumen to his current role, Bonavita shares hard-won insights about what CIOs actually need to focus on as AI reshapes enterprise operations.
What you will learn:

Why "do less, better" beats "add everything" in network strategy
How simplified infrastructure unlocks competitive advantage in the AI era
What GTT's AI factory does (and why it matters for your ops)
Why most CIOs are investing in the wrong process improvements
How "anticipated implications" using AI differs from true predictability\
Why connectivity has transformed from a commodity to a strategic asset
The hidden cost of legacy networks in a hyperscaler-driven world
How to design networks that don't restrict your business outcomes

About the Guest:

Christopher Bonavita is the VP of Strategy and Technology Adoption at GTT, where he leads product innovation, market feedback loops, and collaborative deployment initiatives. His career includes specialized sales leadership at Lumen, consulting at Accenture, and foundational telecommunications work during the internet's commercial explosion in the mid-1990s. A former military linguist and analyst, Chris applies cross-functional thinking to bridge the gap between cutting-edge network technologies and practical customer outcomes. His leadership philosophy centers on persistent feedback loops, collaborative deployment, and maintaining human investment alongside AI enablement.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/
Episode Highlights:

[06:04] Do Less, Better: Why Focus Wins

Christopher shares a surprising insight from his time at GTT: in a world obsessed with adding more features and more technologies, the real superpower is focus. GTT's history shows that overreach—trying to do everything with limited resources—creates problems. When he spoke to customers, they confirmed it: "You can't do everything. Please don't try to do everything. Please solve this that leads to other solutions, or work well with other solution providers. Please focus on your core." This philosophy isn't just good strategy; it's what customers actually want. The irony? In an industry that talks about innovation through scale and expansion, the winning move is disciplined narrowing.

[12:27] Network as Strategic Foundation, Not Plumbing

Connectivity has shifted from a commodity utility to a strategic asset. CIOs can no longer treat the network as "keep the lights on" infrastructure. The business landscape has changed: the footprint now includes AI at the core, data centers, distributed offices in homes, field operations, and hyperscaler integrations. As Chris puts it, CIOs now face fundamental questions: "What is a LAN? What is a WAN? Is there a LAN? Is there a WAN?" The language itself is changing because the expected experience is changing daily. The infrastructure you choose must enable outcomes, not restrict them. If it restricts, you're limiting the business.

[20:10] Anticipated Implications vs. Prediction: How AI Changes Planning

Chris distinguishes between prediction and what GTT actually does: "anticipated implications." Using AI, they create digital twins based on real customer and operational data. Instead of drawing on a whiteboard, they simulate changes in parallel with production systems and see implications in near-real time. When they change something, they can ask, "AI, how good was that decision? What does it really look like based on real data?" This approach catches foundational mistakes early, before a six-month deployment goes sideways. The ability to run implication games with AI "far surpasses anything we could do before." This capability will eventually flow to customers through collaborative deployment and persistent feedback loops.

[24:08] The Process Gap That's Breaking IT Organizations

Here's the uncomfortable truth: CIOs are doing well on People (giving teams tools and upskilling) and Technology (evaluating and deploying solutions). But Processes—the underlying workflows, how they deliver, measure, and optimize—are breaking under the weight of change. Chris explains, "Your processes are being strained because it's a completely different way of doing business. It's not just an incremental change to the process." Most existing processes with talented people are "good for right now" but "not good enough in this next world." You can't just automate a bad process with AI. As Scott adds, if it's not documented well, AI won't learn something reliable. The real work: stepping back and redesigning processes for an AI-enabled, fast-moving business.
Episode Resources:

Christopher Bonavita on LinkedIn
GTT Website
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

The CIO Playbook for Leading AI Transformation Dec 02, 2025

Show notes

In this live episode of The Bridgecast from the Bridgepointe Tech Summit 2025, host Scott Kinka welcomes Aaron Darcy, Senior Vice President of Corporate Strategy and Go-to-Market for Lumen, for a deep dive into digital transformation, network modernization, and the infrastructure requirements for the AI era.
This conversation tackles the hard truths about digital transformation: why 90% of IT projects still fail, why CIOs can no longer afford to be operators, and why even the most advanced AI tools won't fix dirty data. Aaron shares the practical budgeting framework he's used for 25 years—splitting investments into "run the business" and "change the business" categories—and explains why having an experimentation fund isn't optional anymore.
What you will learn:

Why CIOs must transition from operators to transformation leaders in the AI era
The "run vs. change the business" budgeting framework for funding innovation
How Lumen is building network fabric for Cloud 2.0 and AI workloads
Why dirty data remains the biggest blocker to AI success (and how to fix it)
What network-as-a-service actually means and how Lumen Connect delivers it
The role of validated designs in reducing integration burden for customers
How to lead transformation when your organization has competing priorities
Why network security must be baked in at the infrastructure level
The realistic timeline for AI maturity and where we are on the hype curve

About the Guest:

Aaron Darcy is the Senior Vice President of Corporate Strategy and Go-to-Market at Lumen, where he's driving the company's transformation into an AI-ready network infrastructure provider. With a career built on transformation from Microsoft to GE Digital to Lumen, Aaron specializes in building and scaling new capabilities within large organizations. He's worked alongside several Lumen executives across multiple companies, drawn by the common thread of building something new. His philosophy centers on fundamentals: people first, process second, technology third. At Lumen, he's executing a three-pillar growth strategy focused on physical infrastructure investment, digital platform development (Lumen Connect), and partner ecosystem expansion—all aimed at making Lumen the network backbone for the AI economy.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/

Episode Highlights:

[04:25] Shift from Operator to Transformation Leader

Aaron Darcy stresses that CIOs can't survive in today's landscape by simply keeping the lights on; they must embrace transformation as a core responsibility. This shift matters because 90% of IT projects still fail, and most failures stem from people, culture, and process—not technology. The challenge is that many IT leaders lack the mindset or surrounding team to drive meaningful change across their organizations. Start by surrounding yourself with transformation-minded people who understand that you're not moving from point A to point B without fundamental change in processes, data management, and organizational thinking. At Lumen, Darcy refuses to fund large projects without deep business leader engagement, ensuring every initiative answers the critical questions: "So what?" and "Who cares?" For IT leaders ready to evolve, this transformation-first mindset directly impacts your organization's ability to compete in the AI economy and deliver measurable business outcomes.

[07:20] The Run vs. Change the Business Framework

Aaron shares a two-bucket budgeting strategy he's deployed for 25+ years: allocate funds for operational expenses that keep systems running, while also carving out a separate experimentation fund for transformation bets. This framework matters because it forces deliberate thinking about where you're investing and prevents the trap of either thrashing with too much change or stagnating with too little. The main challenge IT leaders face is deciding how much to invest in each bucket without jeopardizing business continuity or missing innovation opportunities. Split your budget explicitly: ensure baseline operational funding covers "keep the lights on" needs, then allocate a measurable percentage to experimentation and transformation initiatives. After pilots succeed, successful experiments become next year's operational baseline—creating a sustainable cycle of learning and growth. This structured approach gives you confidence in your bets, measurable outcomes, and a clear pathway for advancing your technology strategy without destabilizing core operations.

[10:06] Technology Isn't the Problem—People and Process Are

Aaron makes a provocative point: AI won't fix dirty data, because dirty data is a symptom of broken processes, not a technology gap that AI tools can magically resolve. This matters immensely because organizations investing heavily in AI often overlook data governance, expecting AI to deliver value even when underlying data is unreliable or poorly organized. The challenge is that many leaders see data quality as a technology issue and throw AI solutions at it, missing the real problem: the processes that created the bad data in the first place. Before deploying any AI initiative, conduct a data audit and ask: Where's the dirt coming from? What processes allowed bad data to accumulate? Fix the process, not just the symptom. For IT leaders and CIOs, this means shifting conversations from "Which AI tool should we buy?" to "What process improvements must we make first?" This disciplined approach ensures your AI investments deliver real ROI and prevents the common trap of buying expensive tools that fail because foundational data practices weren't addressed.

[18:33] Modernizing Networks for Cloud 2.0

Aaron explains that networks architected for Cloud 1.0 are now bottlenecks for AI workloads, featuring hairpins, choke points, and limited flexibility for multi-cloud environments where companies juggle multiple cloud vendors, SaaS providers, and data centers simultaneously. This is critical because network architecture directly impacts your ability to scale AI initiatives, move data efficiently, and support distributed workloads—yet many IT leaders haven't modernized their network infrastructure since the early cloud era. The challenge is that legacy networks weren't designed for the mesh architecture, direct cloud connections, and unified management that AI-driven applications require today. Evaluate your current network design: Are you managing multiple clouds and data centers with a unified fabric, or do you have fragmented connections with hairpins and bottlenecks? Modernize by moving toward a fabric-based architecture that supports direct, high-speed connections to hyperscalers, dynamic bandwidth management, and centralized control across all endpoints. For IT leaders planning AI deployments, network modernization isn't optional—it's foundational to enabling the performance, reliability, and scalability your AI workloads demand.

[22:12] Security Baked Into the Network Layer

Aaron argues that IT leaders should demand security baked into their networking solutions rather than treating it as an afterthought or separate layer, with providers catching threats at the network level before they propagate to application and data layers. This shift matters because security layered on top of poor network architecture creates operational complexity, performance drag, and higher costs—while security integrated into the network fabric provides protection closer to the threat source. The challenge is that vendors have historically sold networking and security as separate products, forcing IT teams to manage integration, compatibility, and multiple vendor relationships. When evaluating network solutions, ask: Is security integrated into the platform, or am I buying separate point solutions that require custom integration? Look for validated designs and reference architectures that guarantee security, networking, and storage components work together seamlessly—removing integration burden from your team. For IT leaders and procurement officers, demanding integrated security-network solutions reduces deployment friction, improves threat detection, lowers total cost of ownership, and simplifies management across your multi-cloud and hybrid infrastructure.
Episode Resources:

Aaron Darcy on LinkedIn
Lumen Technologies Website
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

Building Resilience in the Age of AI-Driven Networks Nov 18, 2025

Show notes

In this live episode of The Bridgecast, recorded at the Bridgepoint Tech Summit 2025, host Scott Kinka welcomes Chad Townes, Senior Vice President of AT&T Partner Solutions, for an in-depth exploration of enterprise connectivity, AI-driven networking, and the infrastructure powering tomorrow's business landscape.
With over 30 years of experience spanning wholesale, consumer, business, and operations divisions at AT&T, Chad brings a rare perspective on how massive organizations evolve while maintaining focus on customer needs. His career arc—from wholesale to consumer to operations to partnerships—reveals a counterintuitive truth: the best leaders aren't specialists; they're perpetual learners driven by curiosity.
What you will learn:

How to use curiosity as a leadership superpower to unlock innovation
Why network infrastructure is now a strategic business decision, not just an operational expense
The framework for building custom metrics across diverse teams with conflicting KPIs
How to build network redundancy and resiliency before you need it
Why AT&T's FirstNet model demonstrates purpose-built innovation at scale
The realistic timeline for AI market maturation—and why bubble correction is coming

About the Guest:

Chad Townes is the Senior Vice President of AT&T Partner Solutions, bringing three decades of hands-on experience across AT&T's wholesale, consumer, business, and operations divisions. He's led teams deploying wireless networks in stadiums and convention centers at the dawn of the iPhone era, managed global customer delivery operations, and now oversees the partnership ecosystem that connects AT&T's scale to customers everywhere. His leadership philosophy centers on curiosity, cross-functional empathy, and the belief that organizations thrive when people understand not just their own role but how the entire system works together.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/
Episode Highlights:

[03:42] The Power of "Why"

Chad explains why asking "why" repeatedly is the most powerful leadership tool in his arsenal. When you ask someone why and they can't tell you, it opens the door to do things differently and better. More importantly, it creates psychological safety—people know they can share opinions without criticism. This technique was so powerful that even when Chad felt confident in his knowledge, he continued to use the "why" question because it drove collaboration and saved "time, energy, and money in all the deployments we did." After 30 years at AT&T working in wholesale, consumer, business, and operations, Chad reveals his secret: "I feel like I'm a little bit of a unicorn at times because I've been deep in the weeds on the technology side, but I also feel like I can go talk to a customer just like they're my best friend at any time." This balance—knowing the technology deeply while understanding customer needs intimately—is what made the transition to partnerships natural rather than jarring.

[13:17] Network is the New Strategic Air

Connectivity has transitioned from a commodity utility to a strategic asset. As Chad puts it: "It's air. You don't know until you don't have it." With AI-driven demand for massive data throughput and latency requirements, network architecture is no longer about "good enough"—it's about competitive advantage. AT&T is investing hundreds of millions into fiber and spectrum infrastructure for AI-driven demand, but the use cases are still emerging. "We don't even know what we need because we're constantly adding all this stuff. With AI, the amount of data being consumed, the payloads, the requirements for latency—there are things we're building into the network today that most people don't even know they need. But they need it."

[16:28] Purpose-Built Innovation Strengthens the Core

FirstNet is more than a network upgrade—it's a dedicated emergency response infrastructure with reserved spectrum for first responders (fire, police, military, and medical). But the innovation didn't stop there. AT&T developed satellite trucks on wheels, drones that broadcast spectrum, and mobile units that follow first responders into disaster zones. When hurricanes destroy networks, AT&T is already there rebuilding in real-time. "We're parked on the edge waiting for it to happen so we can immediately fill the gaps." Leading multiple teams through macro-level disruption requires one thing: relentless customer focus. "What does the customer need?" That customer could be shareholders, actual customers, internal teams, or the network itself. Then, build custom metrics for each group so they understand how their work lends to the collective goal. "One mission isn't one mission; it's a thousand little missions that the leader can then tie all together."
Episode Resources:

Chad Townes on LinkedIn
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

Five Generations, One Workplace: Tech Leaders on Change Nov 04, 2025

Show notes

In the second part of this live Tech Summit episode, Scott Kinka continues his conversation with Chris MacFarland and Gary Sorrentino, confronts the biggest challenges facing CIOs today. The discussion opens with the reality of Shadow IT, noting that ChatGPT is the fastest-growing application in this category. Gary Sorrentino argues that fighting user-driven tools is futile; instead, CIOs must embrace them to understand what employees need to do their jobs better.
What you will learn:

How to turn shadow IT into an advantage instead of a compliance headache
Why your RTO mandates are failing (and what to do instead).
The coaching mindset replaces the boss mindset and it's non-negotiable.
Less than 50% of internet traffic is now human prepare your infrastructure accordingly
AI coworkers aren't hype; they're arriving by 2030.
The generational divide in customer experience is real and your strategy should reflect it

About Chris MacFarland & Gary Sorrentino:
Chris MacFarland is the Chief Development Officer of Comcast Business, playing a pivotal role in the company's massive bets on AI infrastructure, robotics, and customer engagement. He provides an operator's view on deploying AI to enhance customer experience and dramatically increase internal efficiencies, such as using generative AI for code development and contract administration.
Gary Sorrentino is the Global CIO of Zoom, bringing over four decades of technology experience and a focus on how to keep employees curious while maintaining a secure and productive environment. He is a leading voice on the critical need to evolve success metrics and leadership muscles to manage the rapid progress of new technologies like AI.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/

Episode Highlights:

[03:43] Shadow IT as Innovation Catalyst

ChatGPT has become the fastest-growing shadow IT app, proving that employees use unauthorized tools to solve real problems. Instead of treating this as a compliance issue, CIOs should ask why existing systems fall short. Interview teams using shadow AI to understand their needs, then design sanctioned tools that achieve the same outcomes safely. One insurance firm did this by turning unsanctioned ChatGPT use into an approved AI writing assistant, boosting efficiency and compliance. This shift turns IT from an enforcer into an enabler, improving productivity while reducing risk.

[15:13] The AI Bandwidth Explosion

Less than half of internet traffic now comes from humans—AI agents, IoT devices, and automated systems dominate the rest. Most IT infrastructures still monitor for human patterns, leaving blind spots in bandwidth management and threat detection. CIOs should audit their environments to identify sources of machine-to-machine traffic and ensure tools can monitor them effectively. A financial firm discovered security gaps in API-to-API communications, revealing how outdated monitoring can miss key risks. Adapting networks for post-human traffic is now critical for security and performance.

[11:25] The Forever Hybrid Model

Return-to-office mandates fail because many leaders still manage with outdated, presence-based playbooks. By 2030, a new generation of leaders will value results over office attendance, aligning with Gen Z’s demand for autonomy and balance. Companies clinging to rigid policies risk losing top talent to more flexible employers. Forward-thinking organizations are shifting from “where work happens” to “what outcomes matter,” as seen in Comcast’s hybrid success. Redesigning around outcomes—not mandates—keeps talent engaged and reduces operational costs.

[13:17] The Five-Generation Challenge

Leading across five generations means abandoning command-and-control management in favor of coaching. Employees now value personalized feedback and autonomy over rigid evaluation cycles. Weekly check-ins focused on development and needs outperform traditional annual reviews. One tech firm cut turnover by 23% after switching to weekly coaching conversations. This approach builds trust, accountability, and engagement across all generations.

[22:01] AI as Co-worker

By 2030, at least 10% of employees will work alongside or report to AI agents—a change more cultural than technical. AI won’t replace people outright but will take over specific decisions and repetitive tasks. Companies that start designing human-AI collaboration now will gain a huge advantage. Pilot programs in areas like customer service and data processing show that managing AI “teammates” requires new coaching and trust models. Preparing for this shift today ensures smoother adoption and stronger talent attraction tomorrow.
Episode Resources:

Gary Sorrentino on LinkedIn
Chris MacFarland on LinkedIn
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

The Futurist Panel: CIO Priorities in an AI-First World Oct 29, 2025

Show notes

In this live episode of The Bridgecast, recorded at the Bridgepointe Tech Summit, host Scott Kinka welcomes back Chris MacFarland, Chief Development Officer of Comcast Business, and Gary Sorrentino, Global CIO of Zoom, for a high-powered discussion on the future of enterprise IT. The "futurist panel" explores the shift in CIO priorities, where the persistent pressure to manage spend—the constant request to save 10%—is now colliding with the massive investment required for AI and cybersecurity initiatives.
The conversation delivers practical strategies for IT leaders and cuts through the hype surrounding AI. The panelists explore why excitement for AI remains high, yet a majority of large-scale projects fail. They pinpoint two primary pitfalls: organizations attempting to "swing for the fences" with massive sea-change projects before the tech is ready, and the challenge of navigating enormous amounts of technical debt.
What you will learn:

Why the "save 10%" mandate for CIOs is less about cutting costs and more about reallocating spend to high-value areas like AI and cybersecurity.
The necessity for the modern IT department to reimagine guardrails and gates, balancing security with the user's growing curiosity and access to tools like generative AI.
How Comcast Business is leveraging generative AI internally to achieve dramatic reductions in legal contract administration and consulting fees (e.g., up to 80%).
The critical shift from viewing AI as a "download and go" product to a strategic, incremental change management process that requires proper governance and protects proprietary information.
Why traditional ROI metrics are failing to capture the true value of AI in areas like employee satisfaction (attrition reduction) and improved customer empathy in CX.
The impact of shadow IT, such as ChatGPT being the fastest-growing shadow app, and the need to embrace and guide users who are already adopting AI to solve their own problems

About Chris MacFarland & Gary Sorrentino:

Chris MacFarland is the Chief Development Officer of Comcast Business, playing a pivotal role in the company's massive bets on AI infrastructure, robotics, and customer engagement. He provides an operator's view on deploying AI to enhance customer experience and dramatically increase internal efficiencies, such as using generative AI for code development and contract administration.
Gary Sorrentino is the Global CIO of Zoom, bringing over four decades of technology experience and a focus on how to keep employees curious while maintaining a secure and productive environment. He is a leading voice on the critical need to evolve success metrics and leadership muscles to manage the rapid progress of new technologies like AI.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/
Episode Highlights:

[03:43] The Reallocation Mandate: The mandate for CIOs is not to cut costs, but to strategically redirect spend ("taking dollars and putting them in the right place" ) from unused software licenses ("licenses we'll never use" ) toward critical, high-value areas like AI and cybersecurity.
[11:25] AI's Incremental Success Story: Large AI projects often fail due to significant technical debt and the tendency to attempt a "massive sea change". The effective strategy is incremental progress, as demonstrated by Comcast using generative AI to reduce external consulting fees by "pushing 80%".
[13:17] AI and CX Empathy: AI agents in customer experience are achieving "dramatically higher empathy" scores than human agents. This is because the AI does not internalize emotional stress from previous interactions; it "goes to the next call and is still happy".
[15:13] Rethinking ROI: Traditional ROI metrics focusing only on headcount are flawed. True AI value must be measured by outcomes like better customer satisfaction scores (SAT scores) and improved employee quality of life, which impacts the attrition rate.
[22:01] The Shadow IT Problem: With ChatGPT being the fastest-growing shadow IT application of all time, IT leaders must stop fighting adoption. The new challenge is to "build an environment where people can stay curious, but we can keep it safe" by establishing new governance over proprietary data.

Episode Resources:

Gary Sorrentino on LinkedIn
Chris MacFarland on LinkedIn
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

Building Trust in AI: Insights from NiCE Oct 14, 2025

Show notes

In this episode of The Bridgecast, host Scott Kinka sits down with Michael Quince from NiCE to explore why most AI implementations fail and what separates successful adoption from expensive disappointments. Michael reveals how NiCE's acquisition of Cognigy positions the company to lead in conversational AI while maintaining its 11-year streak in Gartner's Magic Quadrant top-right corner. This conversation cuts through AI hype to deliver practical strategies for IT leaders navigating customer experience transformation.
What you will learn:

How NiCE integrates Cognigy's conversational AI capabilities to move beyond legacy IVR limitations and create genuinely human-feeling customer interactions
Why the "download and go" approach kills AI projects before they start, and what enablement, context, and calibration actually mean in practice
The critical role partner ecosystems play in reducing adoption fears and accelerating time-to-value for enterprise AI deployments
Which metrics actually matter for measuring AI success: customer satisfaction scores, reduced support volumes, lower churn rates, and revenue impact
How to build organizational culture that drives technology adoption rather than resists it, starting from within teams instead of top-down mandates
Why starting with people and letting technology do the heavy lifting produces better outcomes than technology-first strategies
The framework for evaluating whether your AI implementation can pass the "my mom could use it" test for intuitive design

About Michael Quince:
Michael Quince is the Regional Vice President of Partner Sales at NiCE, where he leads channel strategy and partner enablement for the AI-powered customer experience leader. With over two decades in technology sales across companies including Northern Telecom, Polycom, Shortel, and 8x8, Michael has built his career on the principle that influence and trust matter more than titles and org charts. At NiCE, he plays a pivotal role in helping partners navigate the company's evolution from contact center dominance to comprehensive AI solutions, particularly following the Cognigy acquisition. His "people first" leadership philosophy emphasizes building culture from within, enabling employees before expecting adoption, and creating ecosystems where technology enhances rather than replaces human connection.
To find out how Bridgepointe Technologies helps businesses make IT decisions faster with world-class engineering support and ongoing guidance, head to https://bridgepointetechnologies.com/
Episode Highlights:

[02:08] NiCE's Evolution and the CognitG Acquisition

Michael explains how NiCE has maintained its position in the Gartner Magic Quadrant's top right corner for 11 consecutive years as a contact center leader, while simultaneously transforming into an AI-first company. The acquisition of Cognigy represents a strategic move to lead in conversational AI, bringing together market-leading contact center capabilities with cutting-edge AI orchestration across all modalities and workflows. This combination enables partners to cross-sell and upsell AI solutions within their existing customer base, creating new revenue opportunities while helping businesses enhance customer experience.

[17:51] Moving Beyond Legacy IVR Systems

The conversation addresses a critical challenge in AI adoption: overcoming negative associations with legacy interactive voice response systems. Michael describes how older IVR technology relied on rigid decision trees that failed to provide the knowledge and flexibility customers needed, leading users to frantically press zero to reach a human agent. Modern conversational AI powered by platforms like Cognigy represents a fundamental shift, offering human-like interactions that understand context, share relevant knowledge, and build trust rather than frustration. This evolution requires partners to help customers "give it another try" while reducing fears that AI will replace human connection rather than enhance it.

[21:13] AI Implementation Pitfalls and Best Practices

Michael emphasizes that the number one pitfall in AI adoption is treating it like a "download and go" product rather than a strategic implementation requiring enablement, context, and calibration. Successful AI deployment demands investment in education, real-time feedback loops on customer objectives, and creating frameworks that allow for experimentation and quick scaling without getting stuck in perpetual beta cycles. Organizations must ensure customers understand not just the solution they're buying, but what that solution will accomplish for their business and how to use it comfortably. This approach contrasts sharply with simply adding AI to a product sheet as an SKU and expecting immediate results.

[26:49] People-First Leadership Philosophy

When asked to summarize his business philosophy in a single sentence, Michael responds with clarity: "People first." This leadership approach emphasizes that technology should do the heavy lifting while people remain the biggest asset in any organization. Michael believes in leading with influence and trust rather than titles and org charts, investing deeply in people and building culture from within teams rather than expecting organizations to create it top-down. For IT leaders implementing AI or any transformative technology, this means ensuring employees are comfortable with new tools, feel empowered and supported, and understand how innovation will enhance rather than threaten their roles. The results follow when people are prioritized.
Episode Resources:

Michael Quince on LinkedIn
Scott Kinka on LinkedIn
Bridgepointe Technologies Website
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

AI Inference Zones: CoreSite's Brian Eichman on the Future of Data Sep 30, 2025

Show notes

In this episode of The Bridgecast, host Scott Kinka welcomes back Brian Eichman, Vice President of Business Development and Solution Architecture at CoreSite, to explore the revolutionary concept of "AI inference zones." From CoreSite's billion-dollar milestone to the shift from AI training to monetization, Brian breaks down how proximity, ecosystem partnerships, and hybrid infrastructure are reshaping the future of enterprise AI deployment.
Brian introduces the critical concept of inference zones—strategic locations where AI models transition from training to real-world application and monetization. Using his signature analogy-driven approach, he explains how AI is moving from the "college phase" of learning to the "big city phase" of making money, requiring new infrastructure approaches that prioritize proximity to users and low-latency connectivity.
Want to learn how to build an infrastructure that can handle the next wave of AI? Tune in now.
What you will learn:

The concept of AI inference zones and why they're crucial for AI monetization
How proximity and low-latency connectivity are becoming critical infrastructure requirements
Why comprehensive, ecosystem-based infrastructure strategies outperform siloed approaches
The industries leading AI inference adoption: financial services, gaming, and social media
How to future-proof infrastructure decisions in an AI-driven world
Why the current AI hype cycle mirrors previous technology waves and what to expect
Strategic frameworks for evaluating data center, cloud, and network decisions holistically
The cultural shift happening in how we value human output versus hours worked

Brian Eichman is the Vice President of Business Development and Solution Architecture at CoreSite, one of the leading colocation providers in the U.S. With over 13 years at CoreSite, Brian has transitioned from engineering to product development and now focuses on corporate strategy, ensuring CoreSite remains competitive in the rapidly evolving data center landscape. Under his leadership, CoreSite has achieved a major milestone, growing from $150 million in annual revenue when he started in 2012 to breaking the billion-dollar revenue mark. Brian is also a dedicated community volunteer with organizations like Junior Achievement and serves as a soccer coach, bringing the same collaborative and mentoring approach to his professional leadership.
Episode Highlights:

[06:39] Introducing AI Inference Zones: The Future of AI Monetization

Brian introduces the groundbreaking concept of inference zones—strategic geographic locations where AI models transition from training to real-world application and revenue generation. These zones represent key markets with high concentrations of enterprises, consumers, and robust internet infrastructure where cloud providers are establishing clusters of infrastructure. Unlike the training phase that happens in remote locations with expensive GPUs, inference zones are positioned in major Tier 1 markets like Northern California, Chicago, and Northern Virginia, where models can be served with high-speed, low-latency connectivity to end users and monetized at scale.

[11:25] From College to Career: The AI Development Lifecycle

Using his signature analogy approach, Brian explains AI development as a journey from college to career. The training phase is like attending university—models are exposed to vast amounts of data, different perspectives, and formal education in isolated environments where organizations pay significant costs for GPUs, power, and space. The inference phase represents graduation and moving to big cities where that knowledge gets applied to make real-time decisions and generate revenue. This shift from learning to earning requires different infrastructure approaches, emphasizing proximity to users and integration with existing business systems rather than raw computational power.

[17:28] Breaking Down Infrastructure Silos: The Proximity Imperative

Brian emphasizes that successful AI deployment requires abandoning traditional siloed decision-making in favor of comprehensive, interconnected infrastructure strategies. IT leaders can no longer make isolated decisions about data centers, cloud providers, or network connectivity without considering how these choices impact AI capabilities. The key principle is proximity—ensuring that every infrastructure decision considers low-latency access to AI models, cloud on-ramps, and ecosystem partnerships. This holistic approach enables organizations to remain flexible and choose the best fit for each application rather than being locked into suboptimal solutions based on price alone.

[26:29] The AI Bubble Reality Check: Lessons from Previous Tech Waves

Brian offers a contrarian perspective on the current AI hype, suggesting that while the technology is transformative, the market may be experiencing overbuilding and bubble-like conditions similar to previous technology waves. Drawing parallels to the internet boom and cloud adoption cycles, he predicts some rationalization ahead where the initial hype will settle into practical, sustainable implementations. This perspective doesn't diminish AI's importance but suggests that organizations should prepare for a more measured adoption phase where proven use cases and ROI take precedence over experimental deployments.
Episode Resources:

Brian Eichman on LinkedIn
Scott Kinka on LinkedIn
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

Special Episode: Stories That Sell with Tech Summit 2025 Keynote Speaker Neal Foard Sep 16, 2025

Show notes

In this special Tech Summit episode of The Bridgecast, host Scott Kinka sits down with Neal Foard, principal of StoryFire and featured speaker at Bridgepointe's Tech Summit 2025 in Miami. From a daughter's baseball game cheer to boardroom presentations, Neal reveals how storytelling transforms technical leaders into trusted advisors. Whether you're preparing for budget meetings or building stakeholder relationships, this conversation offers practical frameworks for turning data into narratives that drive action and create lasting connections.
Want to learn more about how storytelling can transform your leadership approach and help you build stronger stakeholder relationships? Tune in to hear Neal's insights on turning technical expertise into compelling narratives that drive business results.
What you will learn:

How to master your first 60 seconds in any presentation or meeting
Why storytelling is humanity's default communication system and how to leverage it
The critical difference between being the hero versus the narrator of your stories
How video has changed the storytelling game and what leaders must do to adapt
Why preparation and practice separate amateur presenters from professionals
How kindness and human connection drive measurable business results
Why technical expertise alone isn't enough in today's leadership landscape
Practical frameworks for overcoming the discomfort of watching yourself on video

Neal Foard is the principal of StoryFire and a social media personality with over 30 years of experience helping global brands like Budweiser, Sony, Lexus and Toyota tell stories that inspire action, build loyalty and drive measurable results. He's held leadership roles at Saatchi & Saatchi, Wieden & Kennedy and Sarnoffsky, and now shares his expertise through StoryFire, teaching leaders how to turn ideas, data and experiences into compelling narratives that move teams, customers and stakeholders. Neal will be speaking at Bridgepointe's Tech Summit 2025 on October 20-23 in Miami.
Episode Highlights:

[09:11] Mastering Your Opening 30-60 Seconds

Neal emphasizes that the first 30-60 seconds of any presentation represent "beachfront real estate"—the most valuable time you'll have with your audience. Instead of wasting time with pleasantries or disclaimers about speaking ability, technical leaders should prepare and rehearse their opening like Olympic swimmers. This preparation creates confidence that eliminates stage fright and establishes immediate credibility. For CIOs and IT directors suddenly thrust into C-suite presentations, this tactical approach provides a foundation for success in high-stakes meetings where budget approvals and strategic initiatives hang in the balance.

[11:56] Storytelling as Humanity's Default Communication System

For 50,000 years, humans have communicated through stories around campfires, making narrative the brain's preferred method for processing and retaining information. When technical leaders present 12 bullet points on a slide, audiences forget everything because the hippocampus discards information that isn't presented in story form. However, everyone can remember classic stories because narrative structure creates lasting memory. This insight transforms how IT professionals should approach presentations, turning technical specifications into compelling stories that stakeholders actually remember and act upon.

[15:52] The Professional Video Transformation

Neal explains that mastering video communication requires accepting initial discomfort and committing to practice. The key breakthrough moment comes when you can watch yourself back without cringing—"that day, you turn pro." Getting comfortable with video means you can reach people emotionally, creating connections that lead to business results. Since people make decisions emotionally and rationalize them logically afterward, video tools like Zoom calls and presentations become powerful instruments for building trust and influence that separate you from competitors.

[21:32] Never Make Yourself the Hero

The biggest mistake in business storytelling is making yourself the hero of your own stories. When you do this, audiences either don't believe you or become jealous and hope for your downfall. Instead, position someone else as the hero while you serve as the narrator expressing admiration or sharing lessons learned. This approach puts you alongside your audience as a friend experiencing the story together, making the lessons more relatable and the emotional connection stronger.
Episode Resources:

Neal Foard on LinkedIn
Scott Kinka on LinkedIn
Bridgepointe’s Tech Summit 2025 “The Next Wave”
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

Beyond ChatGPT: Why 90% of AI Implementations Fail Without This Key Factor with Tony Moroney Sep 02, 2025

Show notes

In this episode of The Bridgecast, host Scott Kinka sits down with Tony Moroney, Principal at The Digital Explorer, to explore why AI adoption isn't just about technology—it's about fundamentally rethinking leadership. Tony breaks down the commoditization paradox facing organizations, explains why "AI washing" is the new greenwashing, and reveals how leaders must evolve from command-and-control to intelligence orchestration. From customer experience differentiation to the future of geographically specific AI models, this conversation offers strategic insights for navigating AI's impact on business and society.
What you will learn:

Why AI commoditization creates a paradox for competitive differentiation
How to move beyond "AI washing" and develop meaningful AI strategies
The critical shift from command-and-control to intelligence orchestration leadership
Why customer experience remains the key differentiator in an AI-commoditized world
How geographically-specific AI models will reshape global business strategies
The governance frameworks needed for autonomous AI agents in business
Why starting with business problems, not technology solutions, drives AI success
How to prepare for a future where AI agents are smarter than human leaders

Tony Moroney is the Principal at The Digital Explorer, where he advises global brands on digital disruption, innovation, and AI strategies. With over 17 years of experience spanning industries like financial services, technology, and consulting, Tony has guided executive teams in harnessing AI and digital transformation to drive measurable business outcomes. A former international management consultant who worked across the globe before returning to Ireland, Tony combines advisory work with academia and thought leadership. His expertise lies at the intersection of digital disruption, strategic technology implementation, and helping organizations navigate the complex challenges of AI adoption.
Episode Highlights:

[03:56] The Commoditization Paradox in AI Strategy

Tony introduces a fundamental challenge facing organizations: if AI becomes a general-purpose technology like electricity or the internet, how do companies differentiate when everyone has access to the same large language models? This commoditization paradox means organizations using identical AI tools will generate similar outputs, potentially eliminating competitive advantages. The solution lies in focusing on unique human factors, organizational ambition, and customer-centric approaches rather than technology-first thinking. Leaders must start with what they're trying to achieve for customers, not what they want to accomplish with technology, to avoid the trap of AI for AI's sake.

[13:53] Customer Experience as AI's True Differentiation Opportunity

While many AI implementations focus on cost reduction and compliance, Tony argues customer experience represents the real opportunity for competitive differentiation. AI can transform customer service by providing real-time support to agents, enabling instant language translation, and dramatically reducing training time from months to weeks. The key is augmenting human capabilities rather than replacing them, allowing customer service representatives to focus on empathy and relationship-building while AI handles information retrieval and technical support. This approach creates genuine value for customers while building loyalty in an increasingly fluid marketplace.

[21:52] The Rise of Geographically-Specific AI Models

Tony predicts the emergence of "big islands of AI" that are geographically and culturally specific, fundamentally changing how global businesses operate. Regions like the Middle East, China, India, and Europe are developing large language models that reflect their cultural values, social norms, and regulatory requirements. This shift toward digital sovereignty means organizations must strategically consider whose platforms and models they use, as these decisions now carry significant business and compliance implications. The board-level conversation has evolved from simple outsourcing decisions to core strategic choices about data, values, and competitive positioning.

[27:26] From Command-and-Control to Intelligence Orchestration

The most profound shift Tony identifies is the evolution from traditional command-and-control leadership to intelligence orchestration. Leaders will manage a mix of human employees and autonomous AI agents, each capable of independent reasoning and decision-making. This challenges fundamental assumptions about leadership since executives will no longer be the most knowledgeable people in their organizations. Success will depend on orchestrating various forms of intelligence while maintaining oversight of autonomous systems that may not reveal their reasoning processes. This transition requires new governance frameworks and a complete rethinking of organizational structures.
Episode Resources:

Tony Moroney on LinkedIn
Scott Kinka on LinkedIn
The Bridgecast on Apple Podcasts
The Bridgecast on Spotify
The Bridgecast on YouTube

The Bridgecast is handcrafted by our friends over at: fame.so

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