Agents, Architecture, and AI at Scale: Markus Nispel on Shaping the Future of Networking.In this edition of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor in Chief at Techdogs sits down with Markus Nispel, CTO EMEA and Head of AI Engineering at Extreme Networks, to unpack the real stories behind innovation, transformation, and what’s coming next.What You'll Learn in This Episode:• Why AI in networking is moving beyond automation into intelligent, multi-agent systems• Markus’s unique “Outcome First, Form Follows Function” framework for building scalable AI• How to align team structures, data pipelines, and engineering culture for AI readiness• Why upskilling teams matters more than upgrading infrastructure• The architecture behind Extreme Networks’ Platform ONE and how it handles millions of endpoints• The predicted timeline for multi-agent system adoption in enterprises (hint: it’s sooner than you think)• How trust, transparency, and explainability drive real AI adoption — not hype• What separates truly innovative CTOs from trend-chasers• Leadership lessons from decades of transformation and M&A integration🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Markus Nispel:Markus Nispel is the CTO for EMEA at Extreme Networks, where he also leads AI Engineering and the Office of the CTO. He’s a strategic tech leader with a 30+ year career spanning mobile communications, networking, and AI. Markus began his career in cellular and GSM systems before transitioning to enterprise networking, where he led solution architecture, software strategy, and eventually large-scale platform development. He has been instrumental in integrating five major acquisitions into Extreme’s software and automation portfolio.Markus is known for championing the shift from automation to intelligence — advocating for architectures that combine traditional software engineering with advanced AI/ML. He leads the development of Extreme’s Platform ONE and is a prominent voice on building transparent, explainable systems that enterprise users can trust.In addition to his role at Extreme, Markus serves as an Advisory Board Member at the SCION Association, contributing to the development of secure, next-generation internet architectures.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.At Discover Dialogues, we bring you deep dives with CTOs, CIOs, AI engineers, and product leaders shaping the future of enterprise tech. Whether it’s AI, cloud, cybersecurity, or digital transformation, we go beyond buzzwords and into real strategy.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane speaks with Vijay Jaswal, Chief Technology Officer (CTO) at IFS, about how asset intelligence is reshaping industries and how companies can use AI, IoT, and predictive maintenance to enhance the value and reliability of their assets. With over 25 years of experience, Vijay discusses how organizations can leverage cutting-edge technologies to optimize their asset management processes, reduce downtime, and drive profitability.Key Insights:• Asset intelligence is no longer just a tool for monitoring; it's a strategic enabler.• AI and IoT play a significant role in improving asset performance and extending their lifecycle.From Process Automation to Asset Intelligence LeadershipVijay’s career began in process automation, where he focused on automating business workflows. Over time, his role expanded to include application integration and API management, providing the foundation for his leadership in asset intelligence and IoT today.Today, as the CTO of IFS, Vijay leads digital transformation initiatives that help businesses unlock value and become more competitive in asset-heavy industries. He emphasizes that while the technology has evolved, the ultimate goal remains to streamline processes and optimize asset performance.Asset intelligence is about more than just tracking physical assets; it’s about optimizing their performance, ensuring reliability, and enhancing overall business value.• Industry Focus: IFS focuses on industries that rely heavily on assets, such as utilities, manufacturing, and aviation.• Strategic Value: For asset-heavy industries, well-maintained assets are key to customer satisfaction and long-term profitability.• Real-World Examples: Vijay explains how industries like oil & gas, telecom, and manufacturing depend on assets such as wind turbines, 5G towers, and production machinery to ensure seamless operations.By connecting IoT devices to AI systems, businesses can gain deep insights into asset health, allowing them to make data-driven decisions that reduce downtime and enhance operational efficiency.As IoT devices proliferate, cybersecurity becomes a major concern. Vijay emphasizes the need for robust cybersecurity measures to protect critical infrastructure from cyber threats.• Increased Attack Surfaces: IoT devices are now part of the attack surface, making it essential to secure these devices against breaches.• Cybersecurity Measures: Strong encryption, secure communication protocols, and endpoint security are crucial to safeguard sensitive data and maintain operational integrity.Vijay highlights the difficulty many organizations face when scaling AI and IoT from pilot projects to full-scale operations.• POC Challenges: Proof-of-concept trials often work well but fail when scaled due to complexities around cost, data quality, and integration.• Scaling Barriers: As companies expand, the cost of sensors, data storage, and integration increases, creating obstacles to widespread adoption.Vijay discusses how businesses can tackle these scaling challenges by starting with high-value use cases and focusing on ROI. He stresses the importance of leadership alignment and organizational readiness in driving successful AI adoption.About the Guest:Vijay Jaswal is the CTO for Asia-Pacific, Japan, Middle East & Africa at IFS. With a deep focus on AI, IoT, and asset management, Vijay leads digital transformation initiatives that help enterprises become more connected, agile, and efficient. He is passionate about simplifying technology for business leaders and driving innovation in asset-heavy industries.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of Discover Dialogues by TechDogs, our host Nikhil Sonawane, Media Relations lead sits down with Shadab Hussain, Director – Cloud + AI Specialist Sales at Microsoft, for an in-depth conversation on what it truly means to lead in the age of artificial intelligence.From his beginnings in Gwalior — inspired by the visual magic of Jurassic Park — to leading enterprise AI transformations at Microsoft, Shadab’s story is one of curiosity, adaptability, and constant reinvention. He walks us through his journey from early data analytics projects at Wipro to AI consulting for Apple, and finally, to spearheading cloud and AI strategies that shape the world’s most trusted enterprises today.Throughout the conversation, Shadab explores the human + AI partnership, emphasizing that technology isn’t replacing us — it’s redefining what leadership, innovation, and collaboration mean in the modern enterprise. He shares how AI is revolutionizing highly regulated sectors such as healthcare, pharmaceuticals, and energy, where algorithms are accelerating drug discovery, optimizing clinical trials, and improving outcomes for millions.But this transformation doesn’t come without challenges. Shadab discusses the delicate balance between innovation and regulation, and how businesses must ensure AI ethics, transparency, and safety while moving fast. His take? The real opportunity lies not in using AI as a quick tool — but in reinventing systems, processes, and mindsets from the ground up.He also introduces a powerful concept for building enterprise-ready AI systems — designing for stated, understated, and future requirements. Too many organizations, he warns, build for the past. True success comes when leaders design for tomorrow, using AI to deliver answers instead of reports, insights instead of data.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubThe conversation concludes with leadership lessons that go beyond technology. Shadab believes that alliances thrive when everyone’s goals align — when leaders inspire partners, teams, and ecosystems to pursue a shared vision.And in a world that’s constantly evolving, he leaves us with a message worth remembering:“Don’t fight the wave. Find your place in it.”If you’re a business leader, technologist, or anyone curious about how AI is reshaping enterprises, this episode offers a thoughtful, human-centered perspective from someone at the forefront of transformation.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

Scaling Generative AI Beyond Pilots: Data Trust, Governance, and Enterprise Readiness Enterprise adoption of generative AI is accelerating. Organizations are experimenting rapidly, teams are building pilots, and leaders are eager to unlock productivity gains. Yet, as Vivek Kompella explains in this Discover Dialogues episode, the journey from experimentation to production remains difficult for most enterprises.In this conversation, Vivek Kompella, Director of Enterprise Data & AI at Informatica, shares a grounded, experience-driven perspective on what enables AI initiatives to scale — and what causes them to stall. Drawing from nearly two decades in data, analytics, and AI leadership, Vivek speaks candidly about the patterns he has seen across enterprise environments and the foundational elements required for long-term success.From Engineering to Enterprise Data Leadership Vivek begins by walking through his professional journey, starting with his academic background in electrical engineering and his early career at Capgemini. Despite having no formal IT training when he entered the field, an early piece of advice from a senior colleague shaped his direction: developing strong data skills would always be valuable. That guidance became a turning point. Vivek invested heavily in learning data technologies, certifications, and real-world application. His early exposure to senior leadership teams at Informatica, where he supported management information systems, helped him understand how data is used — and sometimes misunderstood — in business decision-making. Over time, he progressed through engineering and leadership roles, eventually relocating to Informatica’s headquarters in California. As his responsibilities grew, so did his focus on continuously upskilling, including formal AI education beginning around 2016–2017.Why AI Pilots Struggle to Reach Production A central theme of the discussion is why many generative AI initiatives fail to move beyond pilot stages.Vivek explains that while experimentation is necessary for learning and skill development, it is often mistaken for transformation. Many pilots never reach production due to a lack of clarity around the business problem being solved, misalignment on priorities, or insufficient readiness to operationalize solutions. He identifies three recurring challenges enterprises face: • Weak business alignment around AI initiatives • Lack of trusted, well-prepared data • Insufficient governance and risk review processes Without addressing these fundamentals early, organizations accumulate pilots that do not translate into real business outcomes.Vivek places strong emphasis on data as the foundation of AI. He explains that AI initiatives cannot succeed without trusted data and consistent definitions. The conversation explores why simple lift-and-shift cloud migrations often fall short when modernizing data platforms. According to Vivek, architectural decisions must consider not only current needs but also how systems will scale over time. He highlights the importance of semantic data models as a way to establish a single source of truth. Without centralized definitions, different teams — sales, finance, marketing — often report different numbers for the same metrics, eroding trust and slowing decision-making. In Vivek’s view, semantic models are not legacy concepts but essential enablers of data democratization, data literacy, and AI scalability. About the Guest Vivek Kompella is the Director of Enterprise Data & AI at Informatica, where he leads the GenAI Center of Excellence and drives enterprise-wide AI and analytics strategy. In this episode, he shares why trusted data, governance, and business alignment are the real drivers of scalable AI success.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge sits down with Dave Killeen, Field CPO EMEA at Pendo, to explore how AI is fundamentally reshaping product leadership, enterprise decision-making, and organizational design. Drawing from over 25 years across media innovation, high-growth startups, and enterprise SaaS, Dave shares practical insights on executive alignment, AI-native workflows, disciplined experimentation, and the future system of work.Dave reflects on his journey across media, consumer platforms, startups, and enterprise environments.• Launching MailOnline and working on BBC iPlayer• Scaling product decisions across 150M users at Badoo• Navigating failed startups and learning resilience• Leading AI-centric repositioning at Productboard• Now shaping enterprise AI fluency at PendoDave explains why the Chief Product Officer role often has one of the shortest tenures in the C-suite.• Product leaders must anchor decisions in market evidence• Customer-centric data builds executive trust• Gut-driven strategy creates C-suite friction• Storytelling backed by measurable outcomes increases alignmentAI is no longer a playground experiment. It is becoming operational reality.• Moving beyond pilots into scaled implementation• Experimenting across OpenAI, Anthropic, and Gemini• Avoiding dependency on a single AI ecosystem• Building AI fluency across product teamsAI accelerates building, but speed introduces new risks.• Rapid app creation in hours instead of weeks• Feature bloat without disciplined oversight• The need for qualitative taste alongside quantitative data• Product leaders acting as curators, not just buildersDave shares a grounded perspective on enterprise-grade AI adoption.• Internal AI use cases deliver immediate productivity gains• Systems of record remain complex and context-heavy• Tacit knowledge and governance challenges persist• Enterprise AI maturity requires architectural evolutionAI will not just improve efficiency. It will reshape roles.• Roles are collections of tasks that may shift to AI• Organizational structures must evolve• Leaders must empower teams with broader AI access• Customer value must remain the central anchorDave also shares how he built and open-sourced a personal AI knowledge management system.• Using Claude Code for contextual workflow memory• Injecting long-term context into fresh AI conversations• AI suggesting next steps and drafting communication• Open-sourcing to help non-engineers understand AI orchestrationWhy This Conversation Matters:As AI accelerates product development and decision-making, leaders must balance speed with discipline, experimentation with governance, and innovation with executive alignment. Dave’s perspective offers a pragmatic blueprint for navigating AI-native product leadership in a period of rapid change.About the Guest:Dave Killeen is Field CPO, EMEA at Pendo. He works closely with enterprise customers to shape AI-native product management practices and drive measurable product impact. With leadership experience at Productboard, Onfido, Elsevier, Badoo, BBC iPlayer, and MailOnline, Dave combines startup experimentation with enterprise rigor. He also hosts the Vibe PM Podcast, where he explores practical AI fluency for product teams.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What does it really mean to treat data as a product? Why is Data Mesh becoming the go-to framework for global enterprises? And how is PayPal applying these ideas at scale?In this episode of Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Jay Sen, Director of Data Engineering at PayPal, to unpack the evolving world of enterprise data. With over a decade of experience modernizing data ecosystems, Jay shares his journey from early Hadoop clusters to architecting data-driven systems that power one of the world’s leading digital payments platforms.In this episode, you’ll learn:• What “Data as a Product” really means in practice• The misconceptions and myths around Data Mesh• How PayPal applied Data Mesh principles to real business challenges• The cultural and technical hurdles enterprises must overcome• Why governance, ownership, and discoverability are key to scaling data systems• Practical advice for data leaders and engineers trying to replicate this modelIf you’re a data engineer, data leader, or enterprise architect, this conversation will give you a front-row seat to how leading organizations are rethinking data for the next decade.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy watch?Because this is not just about buzzwords. It’s about turning data into real business value. Whether you’re exploring Data Mesh, Data Fabric, or Data Lakes, Jay’s insights cut through the noise and highlight what actually works in enterprise contexts.About Jay Sen:Jay Sen is the Director of Data Engineering at PayPal, where he leads initiatives to modernize and scale enterprise data systems that power one of the world’s largest digital payments platforms. With over a decade of experience spanning Hadoop clusters, cloud-native architectures, and advanced data governance, Jay has been at the forefront of transforming how enterprises treat data as a product. His work focuses on building resilient, discoverable, and business-aligned data ecosystems—bridging the gap between technology and organizational culture. Known for his practical insights and leadership in applying frameworks like Data Mesh, Jay continues to shape how global enterprises unlock the real value of their data.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane sits down with Kurt Muehmel, Head of AI Strategy at Dataiku, to explore what it truly takes to scale AI inside enterprises.

Having joined Dataiku as employee #20 and helped scale it globally, Kurt shares practical insights on AI democratization, governance, enterprise architecture, and leadership credibility.Kurt’s Professional Journey: From Consulting to Global AI Strategy:Kurt reflects on his path from consulting and public sector advisory to scaling Dataiku internationally.• Joining Dataiku as employee #20• Leading US expansion from France• Learning AI through customer conversations• Observing enterprise evolution from Hadoop to Generative AIDemocratizing AI Beyond Chatbots:Kurt explains why simply deploying internal GPT tools is only “level 0.1” of democratization.• True AI democratization empowers domain experts• Business users must build AI systems, not just consume them• AI must transform complex enterprise processes• Organizational reasoning matters more than model accessGovernance As Trust And Business Alignment:AI governance is not just risk mitigation — it builds enterprise trust.• Managing data sensitivity and model selection• Aligning AI use cases with business objectives• Defining acceptable risk and performance thresholds• Governance as the foundation for adoption credibilityThe Biggest Architectural Mistake Enterprises Make:Kurt highlights why treating AI as isolated solutions creates long-term friction.• AI is a general-purpose technology• Localized AI deployments create silos• Organizations need a reasoning layer• Architecture must abstract decision-making from modelsEscaping The AI Pilot Trap:Why do so many AI initiatives stall after proof of concept?• Misalignment with real business requirements• Ignoring acceptable error thresholds• Over-focusing on technical performance• Competitive differentiation requires customizationLeadership Credibility In The Age Of AI:Kurt shares what separates real AI leaders from symbolic adopters.• Leaders must actively use AI themselves• Hands-on experimentation builds authenticity• Sincerity of belief drives organizational momentum• AI credibility requires visible commitmentWhy This Conversation Matters:Enterprise AI will not scale through hype, tools, or isolated pilots. It will scale through architecture, governance, alignment, and credible leadership.Kurt’s perspective offers a pragmatic roadmap for organizations navigating AI’s most disruptive phase yet.About The Guest:Kurt Muehmel is Head of AI Strategy at Dataiku. He advises executives on AI adoption, enterprise architecture, and strategic alignment. Having helped scale Dataiku from early startup to global enterprise leader, Kurt combines operational experience with strategic insight to guide organizations through AI transformation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane speaks with Brian Olynyk, Director of Software Development at Bentley, about his journey in engineering leadership and his CAMP framework. Brian discusses his career path, from IBM to Booking.com, and now at Bentley, where he manages large teams. They explore leadership challenges, team empowerment, and how AI is reshaping software development.Brian’s journey began in engineering and architecture, progressing through roles at IBM, Booking.com, and now Bentley. He shares how his career evolved from technical work into leadership, managing large teams and empowering them to innovate.• Transition from engineering to leadership roles• Experience across various tech environments• Adaptability in Brian’s journeyBrian explains his CAMP framework—Connection, Autonomy, Mastery, and Purpose—and its role in his leadership approach. He highlights the importance of ensuring teams feel connected, have autonomy, master their craft, and align their work with a greater purpose.• CAMP framework’s role in team success• Connection and autonomy in leadership• Implementing CAMP in organizationsBrian discusses the challenges of leading large teams, particularly in scaling organizations. He reflects on how growth often dilutes purpose and how maintaining alignment with company values becomes harder. He shares advice on keeping teams focused as the organization scales.• Leading large teams at Bentley• Risk of losing purpose during growth• Balancing leadership and autonomyAs AI becomes integral to software development, Brian discusses balancing technology and human judgment. While AI streamlines processes, he emphasizes that leadership and strategic decisions should stay human-led. He shares how AI empowers teams but highlights the limits of AI in critical decisions.• Role of AI in software development• Maintaining human judgment in AI environments• Using AI for team empowermentBrian discusses the challenge of maintaining purpose as organizations scale. He stresses reiterating the company’s purpose to keep teams aligned, especially when new team members join.• Purpose as a key factor in leadership success• Challenges during rapid growth• Strategies for keeping teams alignedBrian explores the balance between human leadership and AI. AI can automate tasks, but leadership and decision-making should stay human-led. He shares how AI complements human leadership, not replacing it.• Balancing human leadership with AI• Why leadership must remain human-led in AI environments• AI’s role in augmenting judgmentBrian’s advice: leaders must prioritize self-care to show up at their best for their teams. By maintaining balance, leaders can inspire their teams for long-term success.• Importance of self-care for leaders• How leaders’ energy impacts team performance• Empowering teams while maintaining balanceWhy This Conversation Matters NowAs organizations grow and technology evolves, maintaining strong leadership practices becomes essential for success. Brian’s insights on leadership, AI, and purpose offer valuable lessons for leaders navigating the challenges of modern business environments.About the GuestBrian Olynyk is the Director of Software Development at Bentley, with a focus on building high-performing teams and fostering collaboration. He leads with the CAMP framework, Connection, Autonomy, Mastery, and Purpose driving continuous improvement and innovation.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director & Editor-in-Cheif at Techdogs speaks with Dominic Pereira, Vice President of Product Management at Automation Anywhere, about how enterprise automation is evolving in the era of generative and agentic AI.Drawing on more than two decades of experience across BPM platforms, governance and risk systems, and intelligent automation, Dominic shares how organizations can move beyond automation pilots to scalable AI systems. The conversation explores the shift from deterministic workflows to adaptive AI-driven processes, why governance must be embedded early, and how product leaders must think differently when building AI-powered enterprise platforms.From BPM Platforms to Enterprise AIDominic begins by reflecting on his career journey and how it shaped his perspective on innovation.Key experiences that shaped his thinking include:• Building early BPM platforms and learning how scalable SaaS systems are designed • Working closely with business users through governance and compliance platforms • Realizing that successful technology must focus on measurable business outcomes • Combining strong platform engineering with domain knowledge in enterprise systemsThis foundation ultimately led him to work on agentic process automation, where AI systems orchestrate complex workflows across enterprise functions.The Shift From Traditional Automation to Agentic AITraditional automation systems were deterministic and rule-based. They executed predefined tasks with predictable outputs.However, generative AI has dramatically expanded the scope of automation.Dominic explains that organizations are now seeing automation capabilities increase significantly because AI can handle tasks that require cognitive reasoning and contextual understanding.This shift enables organizations to move from:• Automating repetitive tasks • To automating end-to-end business processes • And eventually enabling intelligent systems that adapt and collaborateMoving AI From Pilots to ProductionMany organizations experiment with AI through proof-of-concept projects but struggle to operationalize those initiatives at scale.Dominic outlines three structural pillars that help bridge this gap:Outcome-Driven ArchitectureAutomation should focus on transforming entire business outcomes rather than automating isolated tasks.Human-in-the-Loop DesignHuman judgment remains critical in AI systems, especially for:• Exception handling• Final approvals• Regulated workflowsGovernance by DesignGovernance must be embedded into systems from the start to:• Build organizational trust• Reduce operational risk• Accelerate enterprise adoptionDominic highlights several mechanisms organizations use to maintain quality:• Role-based access controls and governance frameworks • Reusable templates and standardized automation components • AI-assisted automation creation using natural language prompts • Observability tools to monitor performance and prevent technical debtThese practices allow organizations to scale innovation while maintaining stability.About the GuestDominic Pereira is the Vice President of Product Management at Automation Anywhere, with over 20 years of experience building and scaling enterprise B2B SaaS platforms. His career spans Business Process Management, Governance Risk and Compliance, Intelligent Automation, and Generative AI–driven enterprise systems. Dominic currently leads initiatives focused on agentic process orchestration, enabling organizations to automate complex, mission-critical workflows using AI agents, APIs, and low-code platforms. Known for his governance-first and outcome-driven approach, he focuses on helping enterprises scale automation responsibly while delivering measurable business value.🌐 Visit us at: https://www.techdogs.com

In this episode, our host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Joe Dunleavy, Regional CTO for Europe and Global SVP, Head of Dava.X AI at Endava. With over 20 years of experience across software engineering, startups, and global enterprises, Joe has seen firsthand how technology evolves—and how businesses must adapt.This conversation dives into the world of Agentic AI—what it really means, where it creates real business value, and why so many leaders are still caught between hype and reality. Joe offers practical insights on how industries like healthcare, finance, and insurance can embrace agentic AI to enhance workflows, improve compliance, and boost productivity.What You’ll Learn in This Episode:• Joe’s professional journey: From Microsoft and startups to Prudential, TCS, and now Endava.• Defining Agentic AI: What separates it from traditional AI and why it matters right now.• Dual impact of AI: How it transforms business workflows and accelerates software engineering.• Barriers to adoption: From regulatory concerns to framework confusion, Joe breaks down what’s slowing companies down.• AI hype vs. reality: How leaders can set realistic expectations while still driving innovation.• Leadership in disruption: Why growth mindset, curiosity, and communication matter more than ever.• Building future-ready teams: Psychological safety, recognition, and fostering experimentation.• Personal insights: Joe shares his philosophy on resilience, family, fitness, and enjoying the moment.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy Watch This Episode?If you’re a CTO, CIO, product leader, or someone navigating digital transformation, this episode will give you practical strategies and actionable insights to take your AI journey forward. Joe doesn’t just talk about technology—he connects it to the mindset and leadership skills that make transformation sustainable.About Joe Dunleavy:Joe Dunleavy is the Regional CTO for Europe and Global SVP, Head of Dava.X AI at Endava, where he leads groundbreaking initiatives like the Morpheus agentic AI accelerator. With more than two decades of experience spanning Microsoft, startups, Prudential, and TCS, Joe has built a career at the intersection of software engineering, innovation, and enterprise transformation. Known for his practical approach to AI adoption, he champions the idea of augmentation over automation—helping industries like finance, healthcare, and insurance unlock real business value from emerging technologies. Beyond technology, Joe is passionate about building resilient, future-ready teams, fostering psychological safety, and leading with a growth mindset.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com