What's Up with Tech?

Evan Kirstel
  • ٥٫٠ (١)
  • التكنولوجيا

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. قبل ٦ ساعات

    What if energy transition is evolutionary, not ideological?

    Interested in being a guest? Email us at admin@evankirstel.com AI’s rise isn’t just a software story—it’s an energy story. We sit down with Dynamix CEO Andrejka Bernatova to map the hard tradeoffs behind powering data centers, blockchain networks, and onshored manufacturing, and why the smartest path forward treats the grid as “one energy” rather than a fight between fossils and renewables. Andrejka brings two decades across banking, private equity, and operating roles to unpack how real assets get built, funded, and run when demand is surging and patience is scarce. We dig into the economics that quietly drive the transition: oil and gas don’t lose via slogans; they lose when marginal inventory costs rise and renewables scale down the cost curve. That’s why the near-term decarbonization move is a pragmatic shift from coal and diesel to gas, buying time to scale solar, wind, batteries, and later nuclear—while software orchestrates microgrids and smooths variability. Expect data centers to push from roughly 4% toward 12% of US power, with Bitcoin, Ethereum’s staking economy, and industrial onshoring adding pressure. Against that backdrop, Andrejka explains why valuation discipline beats hype cycles, how operator-led investing de-risks execution, and what “resilience” really means when weather, cyber risk, and geopolitics collide. We also break down Dynamix Ether Machine merger: a clean, pure-play vehicle for investors who want exposure to Ethereum with a focus on staking, restaking, and DeFi participation—without legacy baggage. From European-style efficiency gains in buildings to smarter siting, heat reuse, and contract structures, the conversation offers concrete ways to align reliability, price, and sustainability. If you care about the real constraints behind AI’s growth—and the capital strategies that will actually deliver—this is your guide to the grid we’re building next. Support the show More at https://linktr.ee/EvanKirstel

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  2. قبل ٣ أيام

    Behind the Scenes: How Galileo Helps Companies Make AI Trustworthy

    Interested in being a guest? Email us at admin@evankirstel.com Ensuring AI systems actually work as intended might be the most crucial challenge facing developers and enterprises today. As these powerful tools become more embedded in our daily workflows and critical business processes, their non-deterministic nature presents unique reliability challenges unlike anything we've faced with traditional software. Conor Bronsdon from Galileo.ai offers a compelling framework for understanding and addressing these challenges. The fundamental issue? LLMs don't follow the predictable input-output relationships we've come to expect from software. "They have this massive amount of data they've been trained on... and this is where the magic piece comes in, where they can create and do things outside of your expectations," Conor explains. While this unpredictability enables AI's most impressive capabilities, it also introduces significant risks. The conversation explores common failure modes organizations encounter when deploying AI in production: tool execution errors, security vulnerabilities, context management problems, and inconsistent content quality. These aren't just theoretical concerns - they're practical challenges facing enterprises like Comcast, JP Morgan, and other Galileo customers working to harness AI reliably at scale. Rather than treating AI as a mysterious black box, Conor advocates for a structured approach to reliability through evaluation, observation, and guardrails. By using purpose-built small language models that can operate with minimal latency and cost, organizations can implement 100% sampling of AI interactions while protecting against harmful outputs. This creates a continuous improvement cycle where production data feeds back into system refinement. Perhaps most insightful is Conor's framing of AI as "a junior async digital employee" - highly capable but requiring proper context, feedback, and guidance to perform effectively. This mental model helps bridge the gap between AI's technical capabilities and the practical needs of organizations deploying it. The goal isn't to constrain AI's potential but to channel it productively within appropriate boundaries. 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

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  3. قبل ٥ أيام

    Unlocking Enterprise Value: AI-Powered Document Management

    Interested in being a guest? Email us at admin@evankirstel.com Imagine your organization's most valuable information locked away in digital filing cabinets, scattered across departmental silos, and buried in decades of accumulated documents. What competitive advantages could you gain if all that knowledge became instantly accessible and actionable? Dr. John Bates, CEO of SER Group and former Cambridge computer science professor, takes us beyond the AI hype cycle to reveal where the real business value lies - in applying artificial intelligence to the massive document ecosystems that power every enterprise. Drawing from his experience as a five-time CEO and deep learning pioneer, Dr. Bates explains why the AI conversation needs to shift from models to data. We explore fascinating real-world applications where companies transform their document management approach to deliver what Dr. Bates calls "return on information." From a manufacturer processing 50,000 daily customer emails automatically to healthcare organizations connecting fragmented patient records, we see how document AI solves tangible business problems. The conversation reveals how retrieval augmented generation (RAG) enables enterprises to enhance AI with their proprietary document content, making responses more domain-specific and business-relevant. Dr. Bates also shares his vision for the future of enterprise content management through SER Group's DOXIS platform, which natively integrates AI-powered document understanding with process automation and management at massive scale. For organizations drowning in documents but starving for insights, this conversation provides a practical roadmap to unlock the knowledge hidden within your existing information assets. Ready to discover the competitive advantages hiding in your document repositories? Listen now to learn how document AI is transforming how businesses understand, manage, and leverage their most valuable information assets. Support the show More at https://linktr.ee/EvanKirstel

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  4. قبل ٥ أيام

    Why AI Needs Empathy: Healthcare's Human-Technology Balance

    Interested in being a guest? Email us at admin@evankirstel.com What happens when you apply four decades of customer experience expertise to healthcare's most pressing challenges? David Shapiro, COO of Premier Annex, offers a masterclass in transforming patient experiences through what he calls "tech-enabled human in the loop" solutions. Healthcare providers excel at medical care but often struggle with patient experience – those crucial moments when patients schedule appointments, seek information, or navigate the healthcare system while already feeling vulnerable. Shapiro's revolutionary approach doesn't force a choice between technology and human touch; instead, it harmonizes both. "If you use only technology, you'll lose empathy," he explains, describing how AI serves as a co-pilot that retrieves information while human representatives deliver it with genuine understanding. This interview introduces groundbreaking concepts reshaping healthcare service delivery. "Right-shoring" replaces outdated offshoring stereotypes by strategically placing operations based on specific client needs – including leveraging the Philippines' abundant nursing graduates to provide medical expertise at competitive rates. Meanwhile, "co-sourcing" represents a deeper partnership where Premier Annex seamlessly extends healthcare providers' capabilities rather than functioning as a separate entity. Despite AI's transformative potential, Shapiro maintains that the future belongs to balanced approaches where technology handles routine tasks while humans focus on complex, empathy-requiring interactions. Premier Annex embraces this evolution through their internal AI lab, continuously developing applications that enhance rather than replace human connections. For healthcare leaders navigating this changing landscape, Shapiro offers timeless advice: stay open-minded, foster creativity, and build learning organizations that constantly evolve. Tired of being stuck on hold while feeling unwell? Frustrated by healthcare's administrative hurdles? Listen as Shapiro reveals how Premier Annex is breaking down these barriers to create seamless patient experiences. Connect with Dave on LinkedIn or visit premierannex.com to learn how these innovations might transform your organization's approach to patient care. Support the show More at https://linktr.ee/EvanKirstel

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  5. قبل ٦ أيام

    AI in MedTech: Transforming Patient Care

    Interested in being a guest? Email us at admin@evankirstel.com What happens when your medical device company becomes a data company? The entire healthcare landscape transforms. Bernard from Orthogonal reveals how the convergence of sensors, connectivity, and artificial intelligence is fundamentally changing medical device development and patient care. After 30 years in software and 15 years specifically in medical devices, Bernard brings a unique perspective on the challenges and opportunities facing the industry. The conversation explores how consumer devices like smartphones, smartwatches, and even the latest AirPods are collecting medical-grade data at unprecedented scale. "The ear is actually a really good sensor bed," Bernard explains, highlighting how health monitoring capabilities that hearing aid manufacturers could have implemented years ago are now being pioneered by consumer electronics companies. This democratization of health data collection is creating new possibilities for early detection, prevention, and treatment. Security emerges as a critical consideration in this connected ecosystem. With the FDA significantly raising cybersecurity requirements, medical device manufacturers must implement "secure by design" practices from the outset. While cloud infrastructure providers invest billions in security, vulnerabilities in technologies like Bluetooth require special attention to ensure patient safety. Perhaps most exciting is AI's impact on development efficiency. Bernard reports that AI tools have already made his company 50% more efficient, with expectations to double that improvement next year and achieve a fourfold increase within five years. The challenge remains translating these efficiencies into better outcomes and lower costs within a healthcare system whose reimbursement structures often resist innovation. Ready to embrace the future of connected healthcare? Listen now to understand how thinking of data as your most valuable asset can transform your approach to medical technology development. 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

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  6. قبل ٦ أيام

    Scaling the Digital Backbone: How Data Centers Are Evolving for AI

    Interested in being a guest? Email us at admin@evankirstel.com The digital infrastructure powering artificial intelligence is undergoing a radical transformation as companies race to build ever-larger models. Edgecore's Tom traugott reveals how this shift is forcing a complete reimagining of data center design, power requirements, and cooling technologies. What began as traditional cloud facilities has evolved into massive AI-optimized campuses. Edgecore's Mesa, Arizona project dramatically shifted from six smaller buildings to three massive structures, each capable of housing tens of thousands of GPUs. The physical constraints of modern AI hardware - particularly NVLink's one-meter distance limitation - have accelerated the adoption of direct-to-chip liquid cooling from niche application to industry baseline. As Tom explains, "Infrastructure becomes a competitive advantage" in this new landscape. Power availability has emerged as the critical chokepoint. The staggering scale of new AI investments (Oracle-OpenAI's deal alone could require 4.5 gigawatts - four times Denver's consumption) raises profound questions about grid capacity. The industry is exploring creative solutions, including "curtailment for capacity" programs where data centers leverage their backup generation capabilities during peak demand to stabilize the grid while unlocking additional capacity. Networking infrastructure has transformed from a relatively minor consideration to a critical and expensive component. Deploying a 100,000 GPU cluster requires approximately 1.8 million cable terminations and a small army of technicians. Even optical transceivers now consume significant power - up to 40 megawatts for large clusters, equivalent to the computing power of 20,000 GPUs. Join us for this fascinating exploration of how the backbone of our AI revolution is being built, the challenges facing the industry, and the innovative solutions emerging at this crucial technological frontier. Discover how these massive infrastructure investments are creating what Tom calls "electroalchemy" - the transformation of energy into intelligence through the medium of silicon. 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

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  7. ١٩ سبتمبر

    How ManageEngine is Navigating the AI Revolution While Staying True to Its Founding Values

    Interested in being a guest? Email us at admin@evankirstel.com Rajesh Ganesan's journey from programmer to CEO of ManageEngine spans 23 remarkable years of technological disruption and business transformation. What began in 1996 as a programming role at AdvenNet evolved into leading a global IT management powerhouse after a pivotal 2001 pivot that saw the birth of ManageEngine. The secret to ManageEngine's enduring success? A steadfast commitment to founding principles that might seem counterintuitive in today's hyper-growth tech landscape. "We are not starting this business to have any quick exit," Ganesan explains, highlighting their decision to remain completely bootstrapped despite numerous opportunities for external investment. This independence has allowed them to answer only to employees and customers, build their entire technology stack in-house, and make unconditional promises about data privacy they can actually keep. While artificial intelligence dominates today's tech conversations, Ganesan maintains a refreshingly pragmatic perspective: "AI is not magic. You need good data infrastructure and discipline in how you define processes." Rather than simply rebranding as an "AI company," ManageEngine has invested heavily in building domain-specific language models through their dedicated Labs team, focusing on practical applications that solve real business problems without compromising data sovereignty. This approach addresses the three critical challenges facing today's IT leaders: workforce reskilling amid technological disruption, the overwhelming proliferation of specialized tools creating management nightmares, and ever-present cybersecurity threats that could strike "anytime, from any direction." Looking ahead, ManageEngine is focusing on unifying their 60+ products into a cohesive platform experience, enhancing everything with AI capabilities that deliver tangible business impact, and addressing growing data sovereignty challenges as countries implement stricter regulations. With seventeen user conferences planned worldwide in 2025, they remain committed to understanding and addressing global customer needs while staying true to the founding principles that have guided their successful journey for over two decades. Want to learn more about how ManageEngine can simplify your IT management? Visit our website to explore our complete solution portfolio. Support the show More at https://linktr.ee/EvanKirstel

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  8. ١٩ سبتمبر

    Prioritizing What Matters: Why Customer Happiness Beats Ticket Counts

    Interested in being a guest? Email us at admin@evankirstel.com How do you measure customer happiness in IT support? Not by tickets closed, but by genuine success. This refreshing perspective from  Romanus Prabhu Raymond, Director of Technology for Endpoint Management and Security at ManageEngine, sets the tone for our deep dive into modern endpoint management challenges and solutions. The conversation tackles the foundation of effective security: asset visibility. "If you don't know what you have, that's the biggest challenge," Romanos explains, highlighting how bringing dispersed assets into a single pane of glass creates immediate value for organizations struggling with distributed environments and remote workforces. When it comes to AI, ManageEngine takes a distinctly pragmatic approach. Rather than treating AI as a checkbox feature, they integrate it to solve specific operational problems. Through a revealing anecdote about a CIO requesting "AI" without understanding its purpose, Romanos demonstrates how AI should enhance existing capabilities—like prioritizing patch management for vulnerable endpoints based on their exposure level and business risk—instead of being deployed for its own sake. The discussion explores the dramatic evolution of endpoint management over the past 15 years, from single agents to today's complex ecosystem of legacy machines, modern devices, BYOD policies, and IoT devices. This transformation creates substantial skill gaps and management challenges that ManageEngine addresses through automation and visibility tools that reduce IT burden while improving security outcomes. Perhaps most compelling is ManageEngine's customer-centric culture, which spans their global operations through what they call "translocalization"—combining local cultural understanding with core corporate values. This approach ensures consistent, high-quality support tailored to regional expectations while maintaining their foundational commitment to customer success. Ready to transform how you manage and secure your digital assets? Discover the practical strategies and tools that leading organizations are implementing to stay ahead of evolving threats while reducing operational complexity. Support the show More at https://linktr.ee/EvanKirstel

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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!

المعلومات

  • صناع العمل
    Evan Kirstel
  • سنوات النشاط
    ٢٠٢٤ - ٢٠٢٥
  • الحلقات
    ٥١٣
  • التقييم
    ملائم
  • حقوق النشر
    © 2025 TechInfluencer
  • موقع البرنامج على الويب
    What's Up with Tech?