HFS PODCASTS

HFS

HFS PODCASTS extract a real and unfiltered view of business operations and the world today and in the future. Watch or listen now, in order to be updated with the latest insights from senior HFS analysts and enterprise leaders.

  1. 1d ago

    Unfiltered Stories | How AI enables a platform-based approach to enterprise modernization

    In this episode of Unfiltered Stories, Saurabh Gupta sits down with Rory Fidler, CIO at Menzies Aviation, and Sorabh Singhal from Wipro to talk about a challenge every enterprise is facing right now, modernization that never seems to end. This videocast is divided into three episodes. Watch all three to hear the complete conversation and explore the key insights on AI and legacy modernization. Episode 1: Unfiltered Stories | How AI enables a platform-based approach to enterprise modernization - Why modernization never ends Enterprise modernization has been underway for years, yet most organizations still feel stuck. Now, with AI accelerating the urgency, leaders are caught between pressure to move fast and fatigue from past efforts. In this episode, we explore why modernization programs often succeed on paper but fail to deliver real impact, and why AI is making this challenge even more critical. What you’ll hear The reality of AI hype vs fear on the groundWhy modernization feels like a never-ending cycleThe disconnect between reported success and real outcomesWhy “bolt-on” approaches failWatch Part 2 to see how leading enterprises are breaking out of this cycle with a platform-based approach. Episode 2: Unfiltered Stories | How AI enables a platform-based approach to enterprise modernization - From projects to platforms Modernization doesn’t work when treated as isolated projects. It works when reimagined as a platform-driven transformation. In this episode, we explore how organizations are moving from fragmented systems to platform-based architectures, and why this shift is critical before AI can deliver real value. What you’ll hear The real role of AI in modernizationWhy most enterprises get stuck in pilot modeA real-world example of platform-led transformationWhy data becomes the foundation for AIWatch Part 3 to understand how AI turns modernization into a continuous, value-driving capability. Episode 3: Unfiltered Stories | How AI enables a platform-based approach to enterprise modernization - From modernization to business value Modernization is no longer just about upgrading systems. It’s about enabling continuous transformation and business growth. In this final episode, we explore how AI builds on platform foundations to unlock new value, drive innovation, and reshape how enterprises operate. What you’ll hear Why modernization must become continuousHow AI connects systems into a “thread of gold.”What real business value from AI looks likePractical advice for CIOs to get startedWatch the full series to see how enterprises are rethinking modernization for the AI era, and what it takes to make it work in practice. Read the full report "Legacy modernization is a competitiveness issue, and CIOs must own the fix," here.

    32 min
  2. 2d ago

    HFS GCC Advantage | From functions to outcomes: Inside a Healthcare GCC

    Join Achyuta Ghosh and Arvind Vaishnav for a conversation on how a healthcare GCC creates real impact for patients and clinicians, and what it takes for a center to move from running functions to shaping enterprise outcomes. They discuss how the Philips Innovation Campus is building AI-led solutions that cut MRI scan times in half, the talent shifts behind end-to-end value creation, and how partnerships with clinicians, academia, and startups are reshaping healthcare innovation from Bangalore. What you'll hear: Why the Philips Innovation Campus, with around 4,000 people and more than 30 years in Bangalore, is one of the largest healthcare innovation hubs in India, and what makes its work different from a traditional GCC. Arvind walks through real examples of how the campus delivers functional, economic, and social value, including SmartSpeed MRI, a homegrown AI capability that cuts scan time by 50 percent. Key takeaways: How a healthcare GCC measures impact through three lenses: functional value, economic value, and social value. A real example of bringing MRI scan time down from an hour to thirty minutes, and what that means for patients, clinicians, and access to care. Why end-to-end ownership of the clinician and patient journey is the new bar for healthcare GCCs. The talent shifts driving this change: clinical and product roles, quality and safety expertise, and digital skills like AI and cloud.The role of ecosystem partnerships with clinicians, academia, and startups in accelerating healthcare innovation. How AI is helping clinicians spend more time with patients, and less time with the technology. What is changing in how healthcare GCCs are expected to deliver, from supporting functions to shaping outcomes.To know more about HFS on Global Capability Centers (GCCs), visit us here: https://www.hfsresearch.com/global-capability-centers-gccs/

    18 min
  3. Jun 23

    HFS GCC Advantage | From doing to deciding: Reshaping work in the AI era

    Join Achyuta Ghosh and Aparna Rao for a practical conversation on how AI is changing the actual work inside GCCs, and what that means for roles, skills, and leadership. They discuss how the GCC model is moving from processing tasks to making decisions, why AI cannot fix weak fundamentals, and what leaders need to do right now to stay relevant. What you'll hear: Why work in GCCs is no longer organized around steps and tasks. It is increasingly organized around decisions, and what humans should do versus what AI should do. Aparna draws on 25 years of building and scaling six GCCs across IT, retail, agriculture, pharma, and pharma logistics, and shares what is actually working on the ground at Cencora.Key takeaways: Why has work not reduced inside GCCs? It has elevated, and the bar for talent has risen with it. The three shifts reshaping GCC roles: from processing to judgment, from deep silos to T-shaped capability, and from doing the work to influencing how it gets done. Why does AI not fix weak fundamentals? It amplifies them, and what to do about that before you scale anything. Why is the right starting point not the tool, but the business problem, and how a recent hackathon at Cencora made that visible? How democratizing AI access, building AI governance into the capability framework, and investing in human learning together change what a GCC can deliver.Practical guidance for this quarter: redesign one or two high-impact workflows end-to-end rather than trying to transform everything at once. Why will the winners not be the GCCs that adopt AI the fastest, but the ones that use it most thoughtfully?To know more about HFS on Global Capability Centers (GCCs), visit us here: https://www.hfsresearch.com/global-capability-centers-gccs/

    20 min
  4. Jun 16

    HFS GCC Advantage | From landlord to leader: Rethinking GCC leadership in the AI era

    Join Achyuta Ghosh and Arindam Mukhopadhyay for a candid conversation on how leadership in Global Capability Centers must change. They talk about how the GCC model is moving past the old scale game and the "landlord" style of leadership, as AI reshapes how work gets done, how value is delivered, and what GCC leaders need to focus on next. What you'll hear: Why the biggest threat to the GCC model isn’t AI.It is leadership that has drifted away from domain expertise and process ownership, and what it takes to close that gap.Arindam draws on nearly two decades of building, scaling, transforming, and exiting GCCs across India, the Philippines, Malaysia, Poland, Hungary, Costa Rica, Ireland, and the US, and shares his view on what future-ready leadership looks like. Key takeaways: Why strong GCC growth numbers can mask real questions about long-term sustainability.The end of the "landlord" leadership role. • Managing facilities and headcount is no longer enough. Why the shift from scale-led to outcome-driven GCCs is a leadership problem first, and a technology problem second. The value of staying close to the process and demanding excellence from your team rather than just their time. How AI is reshaping the talent pyramid and the skills GCCs will need next. A practical test every leader can apply: start from the assumption that AI can do the work and rule it out only after kicking the tires hard. Why the next wave of GCC leaders will pivot from running large teams of people to leading a smaller core of rare, high-impact skills. The simple leadership mantra to carry forward: your job is to make your colleagues successful. To know more about HFS on Global Capability Centers (GCCs), visit us here.

    17 min
  5. Jun 11

    Unfiltered Stories | Blockchain is the killer app for AI

    In this episode of Unfiltered Stories, HFS Research President Saurabh Gupta sits down with Eric Piscini, CEO of Hashgraph, to explore the real intersection of AI and blockchain and why trust is becoming the defining challenge for both. While AI is rapidly reshaping enterprise workflows, one question continues to surface. Can we trust it? This conversation dives into how distributed ledger technology is quietly emerging as the trust layer for AI, enabling transparency, control, and accountability in a world driven by autonomous systems. From stablecoins and tokenization to AI-driven payments and decentralized governance, Eric shares how blockchain is moving beyond hype into real enterprise adoption. If you are thinking about the future of AI at scale, this conversation connects the dots between two of the most important technologies shaping it. What you’ll learn Why trust is the biggest barrier to enterprise AI adoptionHow blockchain can act as a control and audit layer for AI systemsThe real differences between stablecoins, tokenized cash, and CBDCsHow AI and blockchain are converging to enable new business modelsWhat asset tokenization means for enterprises and individualsHow AI-driven payments and autonomous agents will reshape transactionsKey takeaways AI and blockchain are complementary technologies, not competing onesBlockchain enables transparency and accountability for AI decisionsEnterprise adoption of blockchain is accelerating due to regulatory clarityTokenization has the potential to unlock new forms of value and accessAI-driven agents will require trusted payment and transaction systemsThe future of trust in digital systems will be built into the infrastructure

    22 min
  6. May 26

    Unfiltered Stories | Building trust and scaling Agentic AI

    In this episode, HFS Research’s Dana Daher is joined by Genpact’s Ajay Vasal to unpack insights from a new study of over 500 enterprise leaders on what it really takes to scale agentic AI. While most organizations believe the technology is ready, very few are prepared to let AI act autonomously. The conversation explores why this is not a technology challenge, but an operating model shift that requires rethinking processes, governance, and decision-making at a fundamental level. Drawing from real-world experience, Ajay shares how enterprises can move beyond pilots and unlock value by redesigning workflows for AI, establishing accountability, and shifting how success is measured. This is a practical discussion on what separates AI ambition from execution. What you’ll learn Why scaling agentic AI is an operating model challenge, not a technology oneThe gap between AI ambition and enterprise readinessHow to redesign processes for autonomous executionWhat governance and accountability look like in an AI-driven environmentWhy productivity alone is not the right way to measure AI successHow leading enterprises are moving from pilots to real business impactKey takeaways Most enterprises trust AI to recommend, but not to actAI cannot be layered onto processes designed for humansProcess redesign is critical to unlocking AI valueGovernance and decision ownership must be clearly definedMeasuring AI through productivity alone limits its true potentialOrganizations that treat AI as a business transformation will scale fasterAlso, read the associated Market Impact Report titled "Autonomy requires trust in AI", here: https://www.hfsresearch.com/research/autonomy-requires-trust-in-ai/

    18 min
  7. May 20

    Hot Tech | OrbitShift - How to turn signals into sales

    HFS Research selected OrbitShift as a Hot Tech for its ability to turn fragmented market signals into structured opportunity shaping and pipeline execution through full-stack agentic orchestration. In this videocast, HFS Executive Research Leader David Cushman sits down with OrbitShift co-founder and CEO Saurabh Mishra to unpack what that really means in practice. Together, they explore how sales teams are navigating an increasingly complex landscape filled with dashboards, signals, and AI tools, yet still struggle to prioritize the right opportunities at the right time. The conversation looks at how OrbitShift approaches this challenge differently, combining contextual intelligence, real-time data, and agent-driven workflows to support deal shaping and pipeline development. Saurabh also shares where automation works best, where human judgment remains critical, and how this balance is evolving as agent capabilities mature. From pipeline impact and user experience to the future of agent-to-agent interactions, this discussion offers a grounded view of how sales models are shifting and what it takes to turn signals into meaningful outcomes. Key points discussed: What kind of data makes the biggest difference to sales conversions? Where should agentic AI be deployed and where should humans remain at the helm, and how should we prepare for the rise of agent-to-agent sales?Read the HFS Hot Tech report, titled “HFS Hot Tech: OrbitShift”, here: https://www.hfsresearch.com/research/hfs-hot-tech-orbitshift/

    15 min

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HFS PODCASTS extract a real and unfiltered view of business operations and the world today and in the future. Watch or listen now, in order to be updated with the latest insights from senior HFS analysts and enterprise leaders.

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