What's Up with Tech?

Evan Kirstel
  • 5,0 (1)
  • TECHNOLOGIES

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. -1 J

    Future of Work: Inside the Agentic Enterprise Index

    Interested in being a guest? Email us at admin@evankirstel.com Salesforce's Chief Digital Officer Joe Inzerillo reveals fascinating insights from the new Agentic Enterprise Index, painting a vivid picture of how AI agents are transforming business operations at unprecedented speed. Within six months, we've witnessed changes that would typically unfold over half a decade with previous technological revolutions. What makes this shift truly revolutionary isn't just the pace, but how fundamentally different it is from past disruptions. Unlike earlier innovations where humans simply needed to learn new tools, AI agents bring entirely different capabilities to the table – requiring organizations to reimagine work from first principles rather than simply replacing or augmenting existing roles. This creates a fascinating partnership where humans and AI complement each other's unique strengths. The data reveals intriguing patterns in adoption and effectiveness. Customer service emerged as the natural first frontier, with travel, retail, and financial services leading implementation. Surprisingly, human escalations have increased (from 22% to 32%), not because AI is failing but because AI efficiently handles routine inquiries, leaving human agents to tackle truly complex problems. The result? Companies are seeing customer experience metrics improve by up to 200%. Perhaps most fascinating are the unexpected behavior patterns emerging. Customers interact differently with AI than with humans – asking questions they might feel embarrassed to ask another person and engaging in longer, more detailed conversations. Meanwhile, employees are developing collaborative relationships with AI agents, having 35% more back-and-forth conversations and triggering 76% more actions month-over-month. As Joe describes from personal experience, working with an AI can feel remarkably like collaborating with a skilled colleague, transforming three-hour tasks into thirty-minute ones. For leaders wondering how to navigate this transformation, Joe offers practical guidance: start with lower-risk applications like after-hours support to build confidence before expanding to more complex use cases. Looking ahead, sales applications represent the next major frontier, with early implementations already showing tremendous promise. The revolution is just beginning – are you ready to join it? Crossing BordersCrossing Borders is a podcast by Neema, a cross border payments platform that...Listen on: Apple Podcasts   Spotify Support the show More at https://linktr.ee/EvanKirstel

    25 min

  2. -1 J

    Simplifying Enterprise Operations: How Tanzu Delivers on the Promise of Push-Button DevOps

    Interested in being a guest? Email us at admin@evankirstel.com Automation isn't just a buzzword—it's becoming the cornerstone of enterprise technology strategy. This conversation with Bert, who leads Tanzu's product management at Broadcom, reveals how VMware's cloud automation vision is transforming from aspiration to reality. At the heart of this transformation is a refreshingly simple philosophy: developers should be able to say, "Here's my code, here's my intent, please make it happen." The Tanzu division delivers on this promise by handling all the complexity—no Terraform templates to configure, no cluster tinkering required. Just pure, intent-driven deployment that automatically builds in high availability, encryption, and best practices. The recent release of VMware Cloud Foundation 9.0 marks a significant milestone, consolidating management tools with compute, networking, and storage capabilities. Tanzu serves as the "push-button accessory" that brings platform-as-a-service capabilities directly to VCF customers. Through comprehensive dashboards and policy-setting tools, IT leaders maintain visibility and control while empowering development teams. Perhaps most exciting is the evolution from what Bert calls "cloud native" to "AI native" applications. This shift focuses on connecting AI-driven workloads and agents to enterprise data in a governed, secure manner. Tanzu's approach to breaking down application and data silos—through services management and data modernization—positions organizations to leverage their collective knowledge and resources more effectively than ever before. Whether you're looking to accelerate business velocity, simplify operations, or prepare for an AI-powered future, this episode offers practical insights into how automation is reshaping enterprise technology. Listen now to understand how your organization can benefit from Broadcom's vision for modern cloud infrastructure. Support the show More at https://linktr.ee/EvanKirstel

    11 min

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    The Future of IT is Here: How AI is Reshaping Enterprise Technology

    Interested in being a guest? Email us at admin@evankirstel.com The technology landscape is experiencing unprecedented disruption as AI reshapes enterprise IT infrastructure, operations, and strategy. Herb Hogue, SVP at Myriad 360 with over three decades of experience across engineering, architecture, and leadership roles, brings unique perspective to this transformation. What makes the current AI revolution remarkable isn't just its capabilities but its adoption velocity. Unlike previous technological shifts that took years to mature, AI has moved from hype to implementation with stunning speed. Organizations readily embrace AI functionality integrated into existing tools, but struggle with building custom applications using large language models—primarily due to scarce specialized talent. The immediate impact is most visible in observability and infrastructure management. AI enables organizations to analyze massive datasets across multiple dimensions, dramatically accelerating decision-making and response times for security and operational issues. This shift represents a fundamental change from traditional static reporting to dynamic, actionable intelligence. Infrastructure architecture is evolving to accommodate these new workloads. Beyond scaling core data centers, Hogue envisions a distributed approach with AI processing occurring at multiple tiers: local application-level AI, near-edge processing, and deep infrastructure for complex workloads. This model promises faster responses, personalized experiences, and reduced network congestion. Meanwhile, organizations face the perpetual challenge of balancing technical debt with innovation. Most operate in hybrid environments, with data governance frameworks still maturing to address AI's unique characteristics. The transition will likely begin with client-side applications where implementation costs are lower, gradually extending throughout the technology stack. Want to stay ahead of enterprise IT's AI revolution? Subscribe now for regular insights on navigating this rapidly evolving landscape and turning technological disruption into strategic advantage. Support the show More at https://linktr.ee/EvanKirstel

    18 min

  4. -2 J

    Graphs and AI: Unlocking Real Business Value

    Interested in being a guest? Email us at admin@evankirstel.com The race to implement AI is leaving many businesses struggling with hallucinations, compliance concerns, and disappointing results. What's missing? According to Dominik Tomičević founder and CEO of Memgraph, it's the critical connection between AI and graph technology. Dominik shares his fascinating journey from winning a Bill Gates grant at Davos to founding Memgraph after encountering scaling walls with traditional graph databases. His team has pioneered an approach called GraphRAG (Graph Retrieval Augmented Generation), which grounds large language models in living knowledge graphs rather than static document collections. The result? Fewer hallucinations, traceable reasoning, and faster access to institutional knowledge. Real-world applications are already showing impressive results. NASA's People Knowledge Graph has cut discovery time in half by helping teams find expertise and relationships across the agency. Health researchers at Cedars-Sinai are using knowledge-driven AI to support Alzheimer's research. Financial institutions are identifying fraud rings by analyzing network behavior rather than relying on easily-circumvented rules. What makes graph databases so powerful for AI applications? Unlike traditional approaches that prompt models with disconnected documents, GraphRAG provides linked, summarized facts and multi-hop paths that justify answers. This matters tremendously for enterprise adoption, where trust, compliance, and regulatory requirements demand explainable AI with clear audit trails. Looking ahead, Memgraph is focused on making GraphRAG more accessible with turnkey solutions that combine vector and graph capabilities in one engine, better observability tools, and deeper integrations with popular frameworks. For businesses navigating the AI landscape, the message is clear: LLMs are just the finishing layer – you need the right data architecture underneath to deliver real business value. Ready to explore how graph-powered intelligence could transform your organization? Memgraph 3.0 provides the building blocks to get started on your journey to more reliable, explainable AI. Crossing BordersCrossing Borders is a podcast by Neema, a cross border payments platform that...Listen on: Apple Podcasts   Spotify Support the show More at https://linktr.ee/EvanKirstel

    24 min

  5. -5 J

    From Edge to Core: Reimagining Enterprise Networks in the Age of AI

    Interested in being a guest? Email us at admin@evankirstel.com The networking landscape is experiencing a seismic shift as artificial intelligence transforms traditional connectivity into intelligent, business-driven infrastructure. Gary Sidhu, Senior Vice President of Product Engineering at GTT, takes us on a fascinating journey through this evolution, explaining how networks are evolving from "dumb pipes" to strategic "business compasses." At the heart of this transformation is GTT's Envision platform, which connects enterprises to their data and applications globally through edge and core infrastructure components. Sidhu articulates how AI is enabling intent-based networking, where administrators can simply state business goals like "prioritize video conferencing" and let intelligent systems handle the complex technical configurations. This capability allows businesses to become more responsive and agile without requiring specialized networking knowledge. Perhaps most compelling is Sidhu's exploration of the emerging "agentic ecosystem" – a world where autonomous AI agents will generate unprecedented network demands, potentially requiring "infinite bandwidth." This future presents both enormous challenges and opportunities for enterprise networking, necessitating new approaches to traffic prioritization, edge computing, and security frameworks that can authenticate non-human network participants. GTT is preparing for this future by building its own "AI factory" with dedicated GPU infrastructure and sophisticated information architecture that powers both internal operations and customer-facing capabilities. Ready to prepare your network for the AI revolution? Discover how GTT's approach to networking security can transform your business infrastructure from a utility into a strategic asset that provides actionable intelligence and adapts automatically to your needs. Crossing BordersCrossing Borders is a podcast by Neema, a cross border payments platform that...Listen on: Apple Podcasts   Spotify Support the show More at https://linktr.ee/EvanKirstel

    25 min

  6. -6 J

    Unleashing AI in Telecom: TUPL's Automation and AI Revolution

    Interested in being a guest? Email us at admin@evankirstel.com The telecommunications industry faces unprecedented challenges in operational efficiency, customer experience, and digital transformation. Enter TUPL – the quiet powerhouse revolutionizing how telecom giants handle everything from network operations to technical customer care. Meet Rafael Ballesteros of TUPL, who shares the remarkable journey of this Seattle-headquartered company with R&D roots in Malaga, Spain. With seven years at TUPL (including a brief "boomerang" departure that brought him back), Rafa reveals how their AI-powered automation platform has become indispensable to giants like T-Mobile, where 40,000 customer care representatives use their solutions nationwide. The results? Up to 80% of customer incidents resolved automatically, saving operators hundreds of millions of dollars annually. What sets TUPL apart is their thoughtful approach to AI integration. While embracing the capabilities of large language models, they maintain critical guardrails through traditional AI methods. "In network operations, you want to be correct almost 100% of the time – you don't want hallucinations," Rafa explains. This philosophy has earned them trust across the telecom landscape, from T-Mobile in the US to Deutsche Telekom in Europe, where their power-saving application is deployed across nearly ten countries. Tupl built TupleOS – a no-code, low-code platform that enables rapid development of telecom solutions. This agility, combined with deep domain expertise, allows them to create and modify workflows in days rather than months, often without requiring specialized technical knowledge. Now, they're expanding beyond telecom into critical facilities management and manufacturing quality control, with their CTO relocating to Boston to strengthen their American presence. Ready to discover how AI-powered automation can transform your operations while maintaining reliability? Explore TUPL's approach to building intelligent systems that deliver measurable results without compromising on accuracy or control. Support the show More at https://linktr.ee/EvanKirstel

    16 min

  7. -6 J

    Backup Nirvana: One View, 90 Workloads, Zero Headaches

    Interested in being a guest? Email us at admin@evankirstel.com The data protection landscape has fundamentally changed. Gone are the days when IT leaders maintained complete control over data housed solely in on-premises environments. Today's reality is vastly more complex – a scattered ecosystem of on-premises systems, multiple clouds, and countless SaaS applications that Andy from HYCU aptly describes as "everything is everywhere all at once." In this eye-opening conversation, we explore HYCU's groundbreaking expansion of its rCloud platform to protect over 90 workloads across on-premises, public cloud, and SaaS environments – all through a unified interface. This represents a quantum leap beyond the industry norm, where organizations typically juggle six to nine different backup solutions just to maintain basic protection. Andy reveals how this fragmentation creates administrative nightmares, escalates costs, and introduces significant security vulnerabilities that modern organizations can no longer afford. The discussion dives deep into HYCU's enhanced cyber resilience capabilities through its R-Shield scanner, bringing real-time anomaly detection and malware scanning that operates directly at the source – eliminating the third-party risks that plague traditional approaches. We also explore their pioneering protection for AI infrastructure, including vector databases and data warehouses that form the backbone of modern AI systems. As Andy explains, corruption or deletion of this data can lead to model degradation and loss of trust, making robust protection essential for organizations investing in AI capabilities. Whether you're struggling with backup fatigue, concerned about ransomware targeting your recovery systems, or planning your organization's AI strategy, this conversation offers valuable insights into the future of data protection. Listen now to discover how consolidation, intelligence, and automation are reshaping what's possible in safeguarding your most critical digital assets. Support the show More at https://linktr.ee/EvanKirstel

    12 min

  8. 10 SEPT.

    Private AI Revolution: Broadcom's VMware Explore Highlights

    Interested in being a guest? Email us at admin@evankirstel.com The explosion of generative AI has created an urgent need for enterprises to run AI workloads on-premises to protect sensitive data, maintain governance, and safeguard intellectual property. In this illuminating conversation with Tasha Drew, who leads the engineering team for private AI services within VMware Cloud Foundation, we explore how Broadcom is transforming enterprise AI infrastructure following their landmark announcements at VMware Explorer. Tasha reveals how VMware's AI platform, now baked directly into VCF, enables organizations to implement comprehensive model governance, scale models efficiently as a service, and programmatically prepare data for RAG applications. What's particularly fascinating is VMware's commitment to "dogfooding" their own platform by using it to deliver VCF Intelligent Assist, ensuring the technology is constantly tested and improved under real-world conditions. One surprising trend Tasha highlights is how organizations are increasingly migrating bare metal AI workloads to VCF for superior enterprise manageability. While data science teams may start with bare metal for experimentation, production AI workloads demand the scheduled maintenance, workload mobility, and scalability that VCF has perfected over decades. This shift underscores a fundamental truth: as AI matures within enterprises, infrastructure management becomes just as critical as model performance. The conversation explores VMware's partnerships with AMD, NVIDIA, Intel, and Canonical, emphasizing their commitment to an open ecosystem approach that lets customers choose the hardware and software stack that best suits their specific AI use cases. Looking toward the future, Tasha shares exciting developments around Model-Context-Protocol (MCP) integration, agent builder capabilities, and tools for enterprises to safely implement agentic AI workflows with proper authentication and governance. With real-world examples from customers like Walmart and manufacturing environments that require air-gapped AI infrastructure, this episode provides a comprehensive look at how VMware is making enterprise-grade AI infrastructure accessible, manageable, and secure. Don't miss Tasha's insights on what's coming next, including the technical preview of Intelligent Assist expected early next year. Support the show More at https://linktr.ee/EvanKirstel

    13 min
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À propos

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!

Informations

  • Création
    Evan Kirstel
  • Années d’activité
    2024 - 2025
  • Épisodes
    503
  • Classification
    Tous publics
  • Copyright
    © 2025 TechInfluencer
  • Site web de l’émission
    What's Up with Tech?