What's Up with Tech?

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

  Interested in being a guest? Email us at [email protected] 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 showMore at https://linktr.ee/EvanKirstel

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• Why Modern Buyers Hold The Power And What Marketers Must Change

  Interested in being a guest? Email us at [email protected] 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 SpotifySupport the showMore at https://linktr.ee/EvanKirstel

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• From Ransomware To Resilience: Unifying Data Security And AI

  Interested in being a guest? Email us at [email protected]’re joined by **Anand Eswaran**, CEO of **Veeam Software**, and **Rehan Jalil**, CEO of **Securiti AI**, following Veeam’s bold acquisition of Securiti—a move that fuses data protection, security, and AI governance into one platform. Together, they unpack why GPUs alone can’t fix untrusted data and why 80–90% of enterprise AI projects fail, exploring how unifying data security and resilience lays the groundwork for AI that’s safe, compliant, and genuinely useful.GPUs don’t fix untrusted data. We dig into why 80–90% of enterprise AI projects falter and how bringing data security and data resilience together creates the foundation for AI that’s safe, compliant, and actually useful. Our guests break down a data command graph that maps files, tables, permissions, sensitivity, and regulations across on-prem, cloud, SaaS, and modern warehouses, then uses that context to enforce the right controls and power rapid recovery.We explore how DSPM fits inside a larger platform that understands data relationships, flags toxic connections, and automates remediation. From ransomware and exfiltration to model poisoning, the graph approach speeds both prevention and incident response. You’ll hear how to prioritize the crown jewels, set dynamic resilience policies, and hit aggressive RPO/RTO targets so the business stays online. We also dive into safe AI enablement: find the sensitive “needles,” mask or tokenize them, and let the “haystack” fuel conversational search and agents without leaking secrets.The conversation goes further into operational reality: low-friction adoption for existing environments, visualizing which datasets train which models, and rolling back AI pipelines with precision when bad data slips through. We talk timelines for integrating the platforms and why this unified view unlocks better security, stronger governance, and smarter storage tiering. If you’re ready to raise AI success rates, reduce blast radius, and move faster with confidence, this one lays out the playbook.If this resonates, follow the show, share it with a teammate who owns AI risk, and leave a quick review telling us which challenge you want solved next.---Would you like me to format it as a LinkedIn or YouTube post (optimized for engagement and readability on those platforms)?Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showMore at https://linktr.ee/EvanKirstel

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• How Agentic AI Turns Fleets Of Macs Into Enterprise Muscle

  Interested in being a guest? Email us at [email protected] if your next high-performing hire never sleeps, knows your stack, and ships secure environments in hours? We dive deep with Chris Chapman CTO of MacStadium to map the shift from brittle automation to agentic AI running on fleets of Macs, where outcomes replace step-by-step scripts and digital employees take on repeatable, high-value work. Chris opens the hood on Orca, their software-defined Mac platform, and shares how customers virtualize thousands of machines to train agents, spin up secure developer workspaces, and deploy specialized small language models that thrive on Apple silicon.We explore why early movers gain an edge: building agents around their policies and workflows instead of bending to generic tools. That means using standards like MCP and A2A for reliable tool use, embracing hybrid architectures that keep sensitive data sovereign, and bringing compute to the data rather than hauling data to the cloud. The result is practical speed: fleets that scale on demand, agents that verify progress at checkpoints, and environments that remain auditable and compliant. Add the efficiency of Apple silicon—high performance per watt, unified memory, and strong on-device inference—and you get meaningful cost control without sacrificing capability.Security stays front and center. We unpack a security-by-design approach where agents inherit guardrails, act on alerts, remediate drift before rollout, and document every change. We also talk shop about the road ahead: M5-based clusters for training and inference, deeper graphics and AI integration in Orca, and Apple’s unique edge-to-cloud continuity that unlocks multimodal workflows from Vision Pro and iPhone to Mac mini clusters. If you’re weighing how agentic AI will reshape roles, budgets, and delivery, this conversation offers a clear blueprint: encode goals, codify guardrails, and let agents do the heavy lifting while your team moves upstream to architecture and strategy.If this resonated, follow the show, share it with a colleague, and leave a quick review to help others find it.Support the showMore at https://linktr.ee/EvanKirstel

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• Crypto Safety, Finally

  Interested in being a guest? Email us at [email protected] if your crypto wallet felt as safe as your bank account? We sit down with Crypto Insurer BDIC Insurance Founder and CEO Jeffrey Glusman to unpack a bold plan to bring deposit insurance to digital assets and unlock mainstream confidence. Instead of chasing whales, the model targets the everyday holder with clear, affordable coverage tiers, vetted wallets, and a focused list of insurable coins. The goal is to turn fear, uncertainty, and doubt into transparent rules and reliable protection that stands up when it counts.We dig into how coverage works, what’s actually insured, and why solvency signals matter—sovereign fund commitments, bank guarantees, and established carriers. Exchanges are watching closely. With regulators weighing in and users demanding safety, supplemental insurance could become table stakes. Using the Bybit hack as a reality check, Jeffrey explains how an insured framework could have reimbursed most losses, protected AUM, and kept trust intact. Insurance can’t stop every breach, but it can turn catastrophic events into recoverable ones.Education plays a starring role. We break down hot versus cold wallets, key custody, tokenization, and the small habits that prevent big losses. Jeffrey shares a painful personal phishing story and a recent large-scale fraud involving a spoofed bank and forged policies—then maps out the steps that stop most attacks: a dedicated wallet device with no SIM, no socials, no SMS 2FA; SIM locks at the carrier; $1 test transfers; and on-chain verification. Finally, we talk go-to-market: why Hong Kong and Pan-Asia come first, why Latin America is primed, and how a utility token and partner exchanges could kick off a domino effect toward industry-wide normalization.If you care about crypto adoption, user protection, and credible risk management, this conversation brings clarity and a practical path forward. Subscribe, share with a friend who trades, and leave a review with your take: should exchanges be required to offer deposit-style insurance?Support the showMore at https://linktr.ee/EvanKirstel

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