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. 1 GIỜ TRƯỚC

    Building the AI-Ready Enterprise

    Interested in being a guest? Email us at admin@evankirstel.com The digital transformation journey has evolved dramatically over the past two decades, and now generative AI stands as the latest force reshaping how enterprises operate. But what does it truly mean to be "AI-ready" in today's landscape? According to ManageEngine, the answer lies not in chasing AI for its own sake, but in understanding how it enhances your existing digital foundation. True AI readiness means "AI is doing the work for you, and you're not doing all the hard work to make AI work." This distinction forms the core philosophy behind their approach to artificial intelligence. Drawing inspiration from SpaceX's methodical approach to innovation, ManageEngine emphasizes that breakthrough technologies require absolute clarity about your end goal, an optimistic yet balanced mindset, awareness of all possibilities, and no compromise on fundamentals. These principles apply equally to AI implementation as they do to rocket science. The company's AI journey began long before the current generative AI boom, with machine learning capabilities incorporated into their products since 2012. What's changed now is the integration of large language models and the development of their own proprietary LLM technology, designed with privacy and data sovereignty as core principles. Most exciting is their vision for "digital employees" - agentic AI systems that work alongside human teams. These AI agents operate within a controlled identity framework, respecting the same security constraints as human employees while tackling challenges like employee experience improvement, security alert fatigue, and cloud cost optimization. Despite these advancements, ManageEngine remains committed to solving business problems first, with AI serving as a powerful enhancement rather than a replacement for their core capabilities. They'll continue offering both cloud and on-premises deployment options, recognizing that organizations have diverse needs when it comes to infrastructure. Want to see how these capabilities could transform your enterprise IT operations? Reach out to the ManageEngine team to learn more about their AI initiatives and explore how they might help you navigate the digital transformation landscape with confidence. 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

    38 phút

  2. 19 GIỜ TRƯỚC

    Automating the Enterprise Cloud

    Interested in being a guest? Email us at admin@evankirstel.com Automation is fundamentally transforming how enterprises build, deploy, and manage applications in the cloud. Dive deep into this evolution as we speak with Bert Toma, the product management leader for Broadcom's Tanzu division, fresh from the groundbreaking announcements at VMware Explore. The conversation reveals how Tanzu is revolutionizing enterprise cloud environments with an automation-first approach that dramatically simplifies the developer experience. "What they want to do is say I have my code, I'd like this to be in production," Bert explains, highlighting how Tanzu eliminates infrastructure complexity without sacrificing control or visibility. This shift enables development teams to focus purely on innovation while the platform handles deployment, availability, security, and scaling. VMware Cloud Foundation 9.0 represents a significant leap forward, consolidating management tools with compute, networking, and storage capabilities. Tanzu integrates seamlessly as a "push-button accessory," providing both platform-as-a-service for applications and comprehensive data intelligence solutions. But perhaps most exciting is Tanzu's answer to persistent organizational silos. The new Tanzu Platform 10.3 introduces services management that allows teams to self-publish microservices for organization-wide discovery and use, finally delivering on the collaboration promise of cloud-native architecture. Looking ahead, Bert shares his vision of the rapid transition from cloud-native to AI-native applications – where AI-driven workloads connect securely to enterprise data. This evolution promises to accelerate innovation while maintaining governance and security. Want to stay ahead of this transformative curve? Listen now to understand how automation is reshaping enterprise cloud capabilities and what it means for your organization's future. Support the show More at https://linktr.ee/EvanKirstel

    11 phút

  3. 1 NGÀY TRƯỚC

    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 phút

  4. 2 NGÀY TRƯỚC

    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 phút

  5. 2 NGÀY TRƯỚC

    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 phút

  6. 3 NGÀY TRƯỚC

    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 phút

  7. 6 NGÀY TRƯỚC

    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 phút

  8. 11 THG 9

    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 phút
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Giới Thiệu

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!

Thông Tin

  • Nhà sáng tạo
    Evan Kirstel
  • Năm hoạt động
    2024 - 2025
  • Tập
    505
  • Xếp hạng
    Sạch
  • Bản quyền
    © 2025 TechInfluencer
  • Trang web chương trình
    What's Up with Tech?