What's Up with Tech?

Evan Kirstel
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Tech Transformation with Evan Kirstel: A podcast exploring the latest trends and innovations in the tech industry, and how businesses can leverage them for growth, diving into the world of B2B, discussing strategies, trends, and sharing insights from industry leaders!With over three decades in telecom and IT, I've mastered the art of transforming social media into a dynamic platform for audience engagement, community building, and establishing thought leadership. My approach isn't about personal brand promotion but about delivering educational and informative content to cultivate a sustainable, long-term business presence. I am the leading content creator in areas like Enterprise AI, UCaaS, CPaaS, CCaaS, Cloud, Telecom, 5G and more!

  1. 17小时前

    From Surveillance To Smarter Stores With AI

    Interested in being a guest? Email us at admin@evankirstel.com Cameras don’t just record anymore—they inform, alert, and help teams act before problems get expensive. We sit down with Jeff Corrall Chief Product Officer at March Networks, to unpack how AI-powered video is evolving from security footage to real operational intelligence you can search, measure, and scale without ripping out legacy systems. Jeff explains why continuous video analysis is costly and how an image-first approach delivers the wins that matter. By capturing snapshots at set intervals or when simple edge analytics detect an event, their platform sends images to the cloud for deeper interpretation. That means retailers catch blocked fire exits before fines hit. Managers get texts when queues spike. Regional leaders track trends across hundreds of sites in real time. And teams can literally “Google” their stores for spills, cash left out, or outdated signage, fixing issues at the speed of a search. We also dig into the AI3 camera, a 360-degree device that blends people counting, queue monitoring, and traffic flow with traditional video, replacing multiple sensors with one scalable unit. Beyond retail, transit agencies pair passenger counts with payment data to spot revenue leakage, while banks audit promotional compliance by uploading an example poster and finding any branch where it’s still displayed. The near-term horizon is especially exciting: fusing point-of-sale data with AI triggers to calculate conversion, surface anomalies with visual proof, and notify the right person to take action—before customer experience or revenue suffer. If you care about operational excellence, loss prevention, and smarter use of your existing cameras, this conversation is packed with practical insights. Follow the show, share it with a colleague who owns store ops or security, and leave a quick review to tell us what you’d automate first. Support the show More at https://linktr.ee/EvanKirstel

    18 分钟

  2. 1天前

    5G To Autonomous: Making Networks Think

    Interested in being a guest? Email us at admin@evankirstel.com What if your network could understand intent, adapt in real time, and deliver the exact experience you need—whether you’re at a packed concert, inside an ambulance, or running a factory floor? We dive into the shift from manual engineering to autonomous networks and how open standards are making AI practical, measurable, and global. Claudia Muñiz, Global Head of Sales for Cognitive Network Solutions at Ericsson, explains why 5G’s real promise is differentiated connectivity and how the Service Management and Orchestration (SMO) layer unlocks it. We trace the journey from early self-organizing networks to an open RAN ecosystem where developers ship RAN apps once and deploy everywhere. Expect clear examples of digital twins and multi-objective reinforcement learning tuning antennas across massive configuration spaces, with live results: higher throughput, faster speeds, fewer dropped calls, and better spectral efficiency—proof that AI at the radio layer moves the needle when paired with the right data and processes. We also separate hype from reality on large language models in telco. Lightweight, energy-aware models handle millisecond decisions at the edge, while LLMs shine in cloud workflows, documentation, coding, and natural language operations. With partnerships that blend domain expertise and elastic compute, engineers can ask plain-English questions and get guided actions, all built on a unified, secure data layer. The conversation lands on what matters most: time-to-first value, measurable gains in churn, revenue, energy, and effort; and the near future of intent-based networking that coordinates specialized agents to meet business goals across open interfaces. If you care about 5G, open RAN, AI-driven operations, developer ecosystems, and the real-world path to autonomous networks, this is your roadmap. Subscribe, share with a colleague who lives in dashboards, and leave a review with the one question you want us to tackle next. Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts   Spotify Support the show More at https://linktr.ee/EvanKirstel

    28 分钟

  3. 2天前

    How A Decentralized GPU Network Beats The Cloud On Price And Flexibility

    Interested in being a guest? Email us at admin@evankirstel.com What happens when thousands of retired Ethereum GPUs meet a tidal wave of AI demand? We sit down with Hidde Hoogland Founder at Decent to unpack how a former mining operation evolved into a decentralized edge provider and why connecting to Aethir’s GPU marketplace changed the math on utilization, cash flow, and scale. It’s a candid look at turning stranded hardware into a real business with clearer ROI targets and a pricing story that can undercut hyperscalers by 60–80 percent for many workloads. We trace the journey from proof-of-work mining to a three-part operating model: sourcing hardware directly from vendors, hosting and maintaining systems, and owning the facility layer. Hine explains how decentralized GPU-as-a-service works for both sides of the market: buyers get location choice, hourly rentals, and on-chain payments; providers get a single platform that aggregates demand. The kicker is stability. Aethir’s static lease fees create a baseline even when GPUs sit idle, letting operators scale into actual demand rather than guessing. That foundation supports a portfolio approach to revenue: pay OPEX in fiat, stack tokens for growth, and invest in GPU SKUs with clear utilization histories and 12–24 month payback windows. We also zoom out to the European landscape. The Netherlands offers elite fiber and interconnect density but faces expensive power and a saturated grid. That reality shifts strategy toward storage-heavy growth while onboarding next-gen GPUs like 5090s where the numbers make sense. The medium-term vision is compelling: pair decentralized compute with distributed storage so teams can run inference, fine-tune LLMs, and manage data gravity without surrendering cost control or flexibility. If AI demand keeps rising, this “house of DPin” model could redefine how we think about cloud alternatives at the edge. If this conversation sparked ideas about your own GPU strategy or you’re curious about decentralized infra economics, follow the show, share it with a teammate, and leave a quick review to tell us what you want to hear next. Support the show More at https://linktr.ee/EvanKirstel

    15 分钟

  4. 3天前

    How Agentic AI Turns Calls Into Continuous Learning

    Interested in being a guest? Email us at admin@evankirstel.com Customers don’t call to chat with a bot—they want outcomes. In my chat with Jim Palmer Dialpad's Chief AI Officer we dive into how Dialpad’s AI-first platform turns real-time voice, video, and digital interactions into agentic workflows that act on behalf of users, learn from every result, and hand off seamlessly to humans when it counts. No black boxes. No bolt-ons. Just a unified stack where speech recognition accuracy, in-domain adaptation, and transparent evaluations compound into trust you can measure. We talk through the nuts and bolts of building AI where it belongs: inside the media layer, not tacked on after the fact. That foundation unlocks higher-quality transcripts, reliable summaries, and precise suggestions that downstream models can use without drowning in errors. From there, in-domain training becomes the engine for better answers: when support questions share patterns across industries, the system adapts faster and resolves issues with fewer escalations. And when a case does escalate, the agent sees the distilled context—intent, key points, attempted steps, and recommended next actions—so the conversation keeps moving. The flywheel is the real breakthrough. As new issues surface in a rolling window of conversations, the platform quantifies impact and proposes automations. Humans review, approve, and refine. The system executes, measures completion and containment, and folds learnings back into models. Layer on governance—clear data policies, observability, and rigorous evaluation—and you get AI that leaders can trust and teams love to use. We also share how internal hackathons and applied research push practical features over the line, keeping innovation and execution in lockstep. If you care about customer experience, agent performance, and measurable ROI from AI, this conversation brings a clear blueprint. Subscribe, share with a colleague who owns CX or support, and leave a review with your biggest automation challenge—we might feature it next. Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts   Spotify Support the show More at https://linktr.ee/EvanKirstel

    27 分钟

  5. 6天前

    How An Agentic Platform Turns First-Party Data Into Loyalty

    Interested in being a guest? Email us at admin@evankirstel.com Most brands pay again and again to win back customers they already won. We wanted to fix that. In this candid conversation with Sandeep Menon Co-Founder Auxia we unpack how an agentic AI platform can sit on top of rich first-party data and finally make it work: autonomous decisions about timing, creative, channel, and offer that meet people at the right moment across web, app, and owned media. No more brittle, rules-based journeys that spam everyone. Think continuous learning, clear objectives, and experiences that build trust. We talk through the reality of today’s martech sprawl and why so many marketers feel like systems integrators. Sandeep shares a practical model for role compression, where a suite of agents handles the repetitive work and analysts’ chores, while the human team sets goals, brand guardrails, and strategy. He breaks down the “reacquisition treadmill” and why acquisition gets the spotlight while retention gets sidelined, even though the biggest gains often come from deepening relationships with people who already converted. You’ll hear a tangible story: a large C2C marketplace used cross-category nudges to move fashion buyers into electronics, driving an 84% lift in customer lifetime value. We dig into how the decision agent and analyst agent work together, how marketers can query outcomes in plain language, and why the next two years of AI—especially improved reasoning—will reward teams that measure success by revenue impact, not pilot buzz. If you’re ready to turn first-party data into loyalty instead of noise, this one’s for you. If you enjoyed this conversation, follow the show, share it with a colleague who lives in lifecycle or growth, and leave a quick review so others can find it. Support the show More at https://linktr.ee/EvanKirstel

    16 分钟

  6. 11月6日

    How Enterprises Turn AI Agents Into Real Value With Modern Observability

    Interested in being a guest? Email us at admin@evankirstel.com AI is moving faster than any wave we’ve seen—and the hidden cost is complexity. We sit down with New Relic’s leadership to unpack how observability must evolve to keep up with agents, vibe coding, and probabilistic systems that don’t fail like traditional software. From the early SaaS days to hyperscale cloud and now AI-native architectures, we connect the dots on where value breaks, why pilots get stuck, and what changes when real users meet real AI in production. We challenge the headline that “95% of GenAI projects fail” and explain the real blockers: adoption, verification, and integration into messy enterprise workflows. Then we dive into the rise of AI agents—microagents and nanoagents coordinating around-the-clock—to offload repetitive tasks and accelerate delivery. With that power comes a new ops reality: tracing prompts and tool calls, monitoring hallucinations, enforcing safety policies, and tying every hop back to user and business outcomes. You’ll hear practical guardrails for vibe coding, including evaluation suites, prompt versioning, canary releases, role-based access, and real-time model quality monitoring. Finally, we look at outages through a clear lens: even the smartest teams can’t outpace system complexity without better visibility and faster remediation. New Relic’s two-pronged roadmap—observability for AI and AI for observability—aims to give teams both the data and the decisions: model-aware telemetry, agent state insights, automated incident summaries, and recommended fixes that protect revenue and trust. If you’re planning for 2026, take this as your cue to embrace the era with discipline: ship agents, instrument everything, and let observability become the backbone of safe, scalable AI. If this conversation helps you think sharper about AI in production, follow the show, share it with your team, and leave a quick review so others can find it. Support the show More at https://linktr.ee/EvanKirstel

    17 分钟

  7. 11月5日

    From IVR To AI: How Teneo 8 Scales Multilingual Contact Centers And Revenue

    Interested in being a guest? Email us at admin@evankirstel.com What if your contact center could speak 46 languages, automate millions of calls, and still hand tricky moments to the right human in seconds? We dig into the launch of Teneo 8 with CEO Per Ottosson and reveal how a hybrid AI approach—combining LLM-powered conversation with deterministic logic—delivers scale, governance, and measurable results without sacrificing warmth or control. We walk through the architecture that makes this possible: long-form, human-style dialogue guided by LLMs, paired with rules and business processes that capture facts, validate entities, and keep flows on track. You’ll hear how a major global rollout built in English, then used language objects to expand into dozens of markets over a weekend, and why public APIs let providers embed high-scale automation under their own brands. Real outcomes anchor the story—like Medtronic’s virtual assistant in healthcare, which lifted customer satisfaction by eight percentage points and drove revenue gains while meeting strict compliance needs. Beyond replacing legacy IVR, we explore omnichannel reality and persistent memory that unifies voice with channels like WhatsApp and iMessage. We share a practical stance on human-in-the-loop: AI first for routine steps, expert agents for edge cases, leading to happier teams and better resolutions. Looking ahead, we map the shift to voice-to-voice conversations supervised by a control layer that enforces compliance and intent understanding. If you’re evaluating Dialogflow, Genesys, or custom stacks, you’ll get a clear view of how to scale, how to avoid the “easy demo” trap, and how to measure value through CSAT and revenue—not just cost cuts. If this resonates, follow the show, share it with your CX and engineering teams, and leave a review with one question you want us to tackle next. Support the show More at https://linktr.ee/EvanKirstel

    22 分钟

  8. 11月4日

    Why Modern Buyers Hold The Power And What Marketers Must Change

    Interested in being a guest? Email us at admin@evankirstel.com Tired of chasing downloads that never turn into deals? We sat down with Refine Labs’ CEO Megan Bowen to unpack why so many B2B playbooks still assume the seller holds the power—and how to rebuild your go-to-market around the way buyers actually make decisions today. From redefining MQLs to recognizing meaningful intent, this conversation is a straight path from vanity metrics to qualified pipeline. We break down the Brand–Demand–Expand model in practical terms. Brand ensures you land on the day-one consideration set with clear, memorable narratives. Demand translates attention into real sales conversations by removing friction and aligning to buyer timing. Expand focuses on adoption, retention, and account growth, turning customers into advocates who fuel word of mouth. Along the way, you’ll hear why aggressive outreach erodes trust, how to design self-serve paths that respect buyers, and where most teams underinvest when it comes to lifetime value. Pulling it all together, we explore Refine Labs’ rigorous onboarding: multi-quarter revenue analysis, funnel diagnostics, and creative audits that produce a focused roadmap instead of a one-size-fits-all playbook. We also dive into an AI strategy that actually matters—AI-powered benchmarks from first-party data, automation that frees humans for strategy, and structured experiments that prove lift before scaling. Add in concrete steps for aligning sales and marketing around shared pipeline and revenue goals, and a people-first culture that compounds performance, and you get a blueprint for modern B2B growth that’s both human and high performing. If you’re ready to move beyond form fills and start building buyer intent, hit follow, share this with your team, and leave a quick review to tell us what you’ll change first. Your feedback helps more leaders find these conversations and modernize their go-to-market. Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts   Spotify Support the show More at https://linktr.ee/EvanKirstel

    24 分钟
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Tech Transformation with Evan Kirstel: A podcast exploring the latest trends and innovations in the tech industry, and how businesses can leverage them for growth, diving into the world of B2B, discussing strategies, trends, and sharing insights from industry leaders!With over three decades in telecom and IT, I've mastered the art of transforming social media into a dynamic platform for audience engagement, community building, and establishing thought leadership. My approach isn't about personal brand promotion but about delivering educational and informative content to cultivate a sustainable, long-term business presence. I am the leading content creator in areas like Enterprise AI, UCaaS, CPaaS, CCaaS, Cloud, Telecom, 5G and more!

信息

  • 创作者
    Evan Kirstel
  • 活跃年份
    2024年 - 2025年
  • 单集
    553
  • 分级
    儿童适宜
  • 版权
    © 2025 TechInfluencer
  • 节目网站
    What's Up with Tech?