How do you transform ERP from a rigid system into a human-centered, business-enabling platform?Enterprise transformation isn’t just about deploying software — it’s about aligning people, process, and purpose.In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief, at TechDogs, talks to Jayalakshmi Nagarajan, Chief Operating Officer at Aakit Technologies Pvt. Ltd., to understand how her team delivers high-impact ERP and SAP-led digital transformation across complex industries like manufacturing, real estate, and wholesale.With over 25 years of experience, Jaya leads global strategy, operations, and delivery at Aakit — a certified SAP Cloud Partner with 100+ successful implementations. She shares how Aakit approaches transformation through Design Thinking, agile delivery models, and long-term co-innovation partnerships.Whether it’s S/4HANA cloud migration or driving stakeholder adoption, Jaya shares the playbook for turning tech implementation into business transformation. She covers everything from user-centric workshops and agile delivery sprints to hypercare strategies and low-code enablement.Key Themes in This Episode:• What “intelligent adoption” means in the context of SAP• Why Design Thinking is critical for user buy-in and long-term value• How Aakit accelerates time-to-value with industry templates• Strategies to reduce ERP rollout friction and post-go-live failures• What makes Aakit’s delivery model stand out in India’s crowded ERP marketWho Should Watch?• CIOs & SAP Heads in mid-to-large enterprises• CXOs in manufacturing and real estate• IT leaders looking to modernize ERP systems• Anyone exploring S/4HANA or SAP Cloud transformation in IndiaThis isn’t just another SAP success story — it’s a roadmap for building ERP systems that last, led by someone who’s been doing it for over two decades.

🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Aakit:Aakit Technologies is a certified SAP Cloud Partner and one of India’s most experienced ERP consultancies, having completed 100+ SAP implementations and 200+ client engagements. With core expertise in manufacturing, real estate, wholesale, and infrastructure, Aakit offers industry-specific SAP solutions that go beyond standard software delivery. Their success lies in enabling clients to move from fragmented legacy systems to integrated, intelligent, and scalable digital platforms.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

As AI continues to reshape industries, the question becomes: How do we lead our teams through this revolution while keeping innovation, optimization, and customer needs at the center? In this episode of Discover Dialogues, Andy Boyd, Chief Product Officer at Appfire, offers valuable insights into what it means to build AI-first products, scale teams, and lead organizations through rapid technological growth.Andy’s journey from pioneering AI initiatives at IBM Watson to leading product development at Appfire offers unique perspectives on navigating the evolving landscape of AI-driven innovation and product-first strategies.In this conversation, Andy explains how AI is not just a tool, but an integral part of building products that solve real customer problems, from visionaries to pragmatists.Throughout this episode, Andy discusses:• AI-first product strategies that drive growth in today’s fast-paced tech landscape.• The importance of building teams ahead of time to scale successfully and avoid bottlenecks during periods of rapid growth.• How to balance innovation with optimization to serve both new and existing customers across diverse ecosystems.• Key lessons from his experience working at IBM Watson and now at Appfire, and how those insights shape his leadership and product strategy.

🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAs businesses increasingly adopt AI, it’s crucial for product leaders to think beyond just implementing technology. This episode provides actionable strategies for integrating AI in a way that drives long-term transformation, optimizes workflows, and empowers teams to focus on what matters most — solving customer problems. Andy’s leadership journey offers valuable takeaways for anyone in product management, leadership, or AI implementation.Don’t miss out on this conversation that’s packed with insights on AI integration, scaling products, and leading high-performing teams in today’s ever-evolving tech environment.🎧 Tune in every Friday for more insights on leadership, innovation, and technology transformation from some of the brightest minds in the industry.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to our newsletter: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

What if your enterprise platform could do more than automate tasks—what if it could reason? In this episode of Discover Dialogues, Vikramsinh Ghatge, Sr. Marketing Director and Editor in Chief at TechDogs sits down with Keith McFarlane, Chief Technology Officer at Globality, to break down how he’s building AI-native platforms that embed decision-making, planning, and trust at their core.Keith shares a rare combination of deep technical clarity and executive-level foresight. From building trust-first LLM systems to teaching AI to interpret human intent, he walks us through the frameworks, team culture, and architectural thinking that power one of the most advanced sourcing platforms in the world.We also explore the psychology of enterprise adoption, why clean data matters more than fancy tools, and how Globality empowers teams to scale AI safely and purposefully.What you’ll learn in this episode:• How agentic AI frameworks are changing enterprise software• What “AI-native transformation” actually looks like from the inside• Where most CTOs go wrong with AI implementation• Keith’s philosophy on build vs. buy decisions• The hidden leadership layer behind every great engineering system🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubFrom designing AI that understands intent to crafting frameworks that maintain transparency and trust, Keith shares how his team integrates LLMs with sourcing logic, user context, and enterprise compliance. We also dive into his leadership style, build-vs-buy decisions, and how Globality developed its own internal systems when off-the-shelf tools fell short.Whether you're scaling AI, leading a product team, or rethinking how your platform handles complexity, Keith’s insights offer a practical blueprint for building smarter systems.This isn’t just about AI. It’s about how leaders think, structure, and scale smarter tech.About Discover Dialogues:Discover Dialogues is TechDogs’ flagship podcast series where technology meets real-world impact. The show features unfiltered conversations with industry leaders, founders, and innovators who are building what’s next.🔔 Subscribe to our newsletter: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com

In this episode of Discover Dialogues, Nikhil Sonawane, our media relations lead at TechDogs sits down with Christopher Reed, CTO AMER at Omnissa, to explore the future of digital work, the intersection of employee experience and customer experience, and why the most secure systems can also deliver the best user experiences.With more than two decades of experience across VMware, Broadcom, and Sigma Solutions, Christopher has seen how digital workplaces evolve—and how security, usability, and leadership shape the next generation of work. Guided by his personal mission “to help people and enhance life through technology,” he breaks down how End User Computing (EUC) is transforming industries from healthcare to finance, and why empowering employees digitally is the fastest route to improving customer satisfaction.What you’ll learn in this episode:• How employee experience directly impacts customer outcomes• Why companies must rethink the divide between security and usability• The role of Zero Trust and passwordless systems in building trust, not friction• Why EUC is the “quiet engine” behind every industry—from hospitals to airlines• Leadership lessons rooted in empathy, service, and human connection• How to align technical execution with business vision for measurable outcomesChristopher also believes real leadership is service, and that technology should make people’s lives easier, not harder.Watch this if you’re:• A CIO, CTO, or IT Leader rethinking digital work strategies• A professional exploring EUC, cybersecurity, or hybrid work trends• A leader interested in human-centered technology and culture transformation🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Christopher Reed:Christopher Reed is the Chief Technology Officer (CTO) for the Americas at Omnissa, where he leads strategy and innovation for the company’s secure digital work platform. With over two decades of experience across VMware, Broadcom, and Sigma Solutions, Christopher has earned recognition as an award-winning technologist, thought leader, and mentor in End User Computing (EUC) and digital transformation. Guided by his personal mission to help people and enhance life through technology, he brings a uniquely human perspective to the world of IT—balancing security, usability, and experience to redefine how people connect with their digital workplaces.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

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