Episodi

  • An Idea Today, an Outcome Tomorrow with Mathangi Sri Ramachandran

    An Idea Today, an Outcome Tomorrow with Mathangi Sri Ramachandran
    Jul 17 2026
    My guest today is Mathangi Sri Ramachandran, Co-Founder of YuVerse. The conversation included Mathangi ’s early fascination with data-driven decision-making → AI as a force for democratisation → empathy at scale → career choices driven by impact → sustaining a long career as a woman → the ecosystem behind innovation and patents.00:00 – Introduction: A life and career deeply rooted in AIMathangi introduces herself as someone whose “heart and soul” are in AI. She talks about her role as CEO and co-founder of U-verse, a last-mile AI company focused on taking frontier AI models beyond experimentation and applying them to real business workflows and outcomes.01:20 – What does “last-mile AI” really mean?Mathangi explains the gap between powerful frontier models and actual enterprise outcomes. She discusses how AI transformation requires bringing together technology, workflows and the human elements of work—across banking, insurance, real estate, retail and other industries.02:30 – A 20-year journey in data scienceLong before the current generative AI wave, Mathangi was working in data science and analytics. She reflects on the long history of AI and reminds us that data-driven decision-making, machine learning and conversational technologies have been evolving for decades.03:50 – The campus interview that changed her career directionA simple example during a GE campus interview at NIT Trichy—using data to decide where windmills should be located—sparked Mathangi’s interest in scientific, data-driven decision-making. That idea became a defining theme throughout her career.05:00 – Using data to improve decisions at scaleFrom marketing analytics to risk scorecards in financial services, Mathangi saw first-hand how large-scale data could improve enterprise decision-making. She shares her belief that moving from human judgement alone towards data-informed systems can help reduce bias and democratise access.06:30 – Can machines deliver empathy at scale?In one of the most thought-provoking parts of the conversation, Mathangi challenges the assumption that machines cannot be empathetic. Drawing from her experience with conversational AI, she argues that machines can deliver consistent empathy across hundreds or thousands of difficult interactions in ways that are extremely challenging for human agents.07:40 – Why difficult customer conversations can escalateUsing debt collection conversations as an example, Mathangi explains the emotional burden placed on human agents who may handle a hundred difficult calls every day. She demonstrates how quickly a human-to-human interaction can escalate—and how well-designed conversational AI can maintain consistency and bring the emotional temperature down.09:35 – From an idea today to an outcome tomorrowThe arrival of large language models has dramatically shortened the distance between an idea and its implementation. For Mathangi, this makes the current era one of the most exciting times to work in AI.10:55 – What continues to motivate her after two decades?The answer is simple: possibilities. Mathangi talks about her desire to use technology to build a better world by reducing bias, improving decision-making and democratising access to services.11:20 – AI, financial inclusion and a more equitable worldBetter decision-making can enable deeper financial inclusion and expand access to capital. Mathangi connects AI and data science to a larger societal purpose: ensuring that more deserving people can access opportunities without being excluded by individual biases or subjective judgements.12:50 – AI and access to healthcare and emotional supportMathangi explores the possibilities of AI in healthcare and therapy, particularly for people in underserved communities. She imagines a woman in a remote village being able to safely access a culturally aware, local-language AI companion when human support may be unavailable or difficult to approach.14:45 – Why this is the best time to be working in AIIdeas that once took years to reach the market can now move from concept to implementation at extraordinary speed. Mathangi reflects on why she has never enjoyed her work more than she does today.15:55 – Where the rubber meets the road: making AI deliver impactLooking across her career, Mathangi describes her current entrepreneurial journey as particularly impactful because she can not only build AI solutions but also take them directly into enterprises—improving processes such as customer conversations, underwriting and claims processing.17:40 – The AI tailwind and pressure from the boardroomAI adoption is increasingly being driven from the top. Boards are asking organisations what they have done with AI and, importantly, what measurable impact it has created. Mathangi discusses both the opportunities and the risks of this pressure.18:35 – Leadership is hard 95% of the timeMathangi offers a candid perspective on leadership: most ...
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    37 min
  • Enabling Better Decisions Through Data with Sree Krishna Kumaraswamy

    Enabling Better Decisions Through Data with Sree Krishna Kumaraswamy
    Jul 13 2026


    My guest today is Sree Krishna Kumaraswamy, known more popularly as Krishna, a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies


    In this conversation, Krishna

    • traces his journey from growing up in Chennai with an expected engineering path to discovering mathematics and statistics through the Indian Statistical Institute
    • Talks about his early work in applied statistics and computer vision,applying concepts of machine learning before “data science” became a mainstream term.
    • Describes how Carnegie Mellon’s Knowledge Discovery and Data Mining program deepened his exposure to algorithms, natural language processing, unstructured data, and the business applications of predictive modeling.
    • Emphasizes that generative AI is powerful but costly, and the need to use it thoughtfully
    • Stresses that responsibility for ethical data use is shared across organizations, including data scientists, engineers, governance teams, risk leaders, executives, and users.
    • Touches on data poisoning, cyber threats, and the growing need for systems that can detect fast-moving patterns without overreacting to every small data change.
    • His career advice for those aspiring to enter or switch to data science roles
    • Shares his grounding principle is the “so what, who cares?” test: work on problems that matter to someone, find partners who care about the outcome, and focus on impact rather than technology for its own sake.


    Krishna is a data and analytics leader with over 20 years of experience spanning consulting and large enterprise technology companies. With an academic background in statistics and machine learning, he has spent his career turning data and AI into tools that help businesses make better decisions.

    Most recently, he led data and AI product teams at Salesforce, where he built self-serve analytics and AI tools used by tens of thousands of employees, and predictive systems that helped the company better serve its customers. Throughout his career, he has focused on bridging the gap between technical teams and business needs, bringing a product mindset to data science and AI.

    He lives in the San Francisco Bay Area with his wife and two kids.

    His profile : https://www.linkedin.com/in/kkumaraswamy/
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    49 min
  • AI, Integration, and Innovation with Elangovan Shanmugam

    AI, Integration, and Innovation with Elangovan Shanmugam
    Jul 3 2026

    My guest today is Elangovan Shanmugam, a seasoned software professional with over 30 years of experience. Among the multiple roles Elangovan has played are Distinguished Engineer, Director of Engineering, leading strategic AI transformation initiatives in a large organization.


    In this conversation Elangovan:

    • Traces his journey from FoxPro and 4MB RAM days to AI engineering
    • Shares how software evolved from standalone systems to connected business ecosystems.
    • A major theme is that the problem often stays the same, but the solution changes.
    • Elangovan describes AI agents as digital humans that help people interact naturally with systems.
    • He explains that in software patents, the method of solving a problem can be patentable.
    • His advice for professionals: embrace AI, keep evolving, and don’t stay in a comfort zone.


    Elangovan Shanmugam is a seasoned software professional with over 30 years of experience. He has held multiple roles—Distinguished Engineer, Director of Engineering, and now leading strategic AI transformation initiatives.

    Most recently, he led a 40-person organization through a fundamental shift: teaching traditional engineering teams to think and operate as AI engineering organizations.

    He has worked at the intersection of deep technical architecture and enterprise leadership—helping CTOs and organizations figure out what changes when AI becomes native to how you build.

    He also has the distinction of receiving multiple innovation awards and has over 20 patents issued to his credit!

    He is super passionate about solving tough problems for customers!


    He may be reached at: elangovan.shanmugam @ gmail.com

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    51 min
  • Leading Through Every Technology Wave with Indira vidyaprakash

    Leading Through Every Technology Wave with Indira vidyaprakash
    Jun 28 2026
    In this episode of Software People Stories, Gayatri Kalyanaraman speaks with Indra Vidyaprakash, Vice President | Workday Chennai Site Leader, for a conversation spanning three decades of technology evolution. From her early fascination with programming in Coimbatore and her journey through Cornell University, Oracle, and Silicon Valley, to returning to Chennai to establish and scale Workday's India presence, Indira shares lessons learned across every major technology shift—from the internet era and enterprise software revolution to today's AI-driven future.The conversation explores product management, customer-centric innovation, leadership, mentorship, women in technology, startup investing, and the importance of staying curious in a rapidly changing world. Through stories of reinvention, growth, and building high-performing teams, Indira offers valuable insights for technology professionals, aspiring leaders, and lifelong learners navigating their own careersTimestamped Show Notes00:00 – Welcome to Software People StoriesGayatri introduces Indra Vidyaprakash, Site Leader at Workday India and a technology leader whose career spans Oracle, Workday, product management, and organizational leadership.00:44 – The Atari That Started It AllIndra reflects on her childhood in Coimbatore and how an Atari gaming console sparked her fascination with logic, programming, and problem-solving. Long before technology became a career, it had already become a passion.02:19 – PSG Tech, Family Legacy, and the Pursuit of LearningA discussion about growing up in Coimbatore, studying Computer Science at PSG Tech, the influence of her grandfather J.R. Damodaran, and the importance of education and lifelong learning.04:00 – HCL, Cornell, and the American DreamIndra shares her journey from HCL Technologies in Chennai to pursuing a Master's degree at Cornell University, experiencing a new educational culture, and entering the world of advanced computing.06:30 – Landing in Silicon Valley During the Oracle EraWhat it was like to join Oracle in 1997 and witness the rise of enterprise software, internet adoption, and the dot-com boom from the heart of Silicon Valley.08:10 – Why Engineering Alone Wasn't EnoughAfter nearly a decade as a software engineer, Indra found herself asking an important question: "Who is actually using what I'm building?" That question ultimately led her toward product management.10:45 – Reinventing Herself Through Product ManagementIndra discusses taking a career break, exploring an MBA, learning new business skills, and ultimately transitioning into product management through curiosity and self-discovery rather than a predefined career plan.14:08 – Learning Design Thinking Before It Became a BuzzwordHow customer empathy, usability testing, user-centered design, and direct customer interaction became foundational to her product leadership approach.16:00 – The Magic of Product ConferencesIndra reflects on Oracle OpenWorld, customer interactions, product demonstrations, analyst briefings, and how conferences became one of her favorite aspects of product management.18:38 – Moving from Oracle to WorkdayA story about relationships, professional networks, and following trusted colleagues into a new opportunity that would shape the next decade of her career.20:30 – Why Culture MattersIndra explains how Workday's employee-centric culture, customer focus, and collaborative environment became major factors in her decision to join the company.22:17 – Entering the World of HR TechnologyThe challenges and opportunities of moving into HR and Financial ERP systems, understanding customer trust, compliance, security, and building enterprise software at scale.26:00 – NEYTHRI and Supporting Women LeadersIndra discusses joining NEYTHRI, a professional network for South Asian women leaders, and how community-building eventually led her to participate as an investor in NEYTHRI’s venture fund.28:45 – Why Representation MattersA conversation about women entrepreneurs, access to capital, and the importance of creating opportunities for women founders and leaders.30:00 – Returning Home After Three DecadesAfter nearly 30 years in the United States, Indra shares the story behind her decision to return to Chennai and lead the establishment of Workday's India operations.32:00 – Building Workday ChennaiHow Workday selected Chennai, what it takes to build a new technology center from the ground up, and why creating culture is just as important as creating infrastructure.34:00 – Scaling Talent and Building Future LeadersIndra discusses mentoring, leadership development, gender diversity, and the excitement of working with AI-native graduates entering the workforce today.36:30 – Product Innovation, AI, and Learning Through ExperimentationLessons from introducing chatbot technology years before today's Generative AI wave, balancing innovation with customer trust, and the importance of thoughtful ...
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    45 min
  • From Navy to SaaS to AI with Ian Hogg

    From Navy to SaaS to AI with Ian Hogg
    Jun 19 2026


    My guest today is Ian Hogg, the Chairman of SolvedBy.ai, an applied AI company helping SaaS vendors embed enterprise-grade forecasting, demand and decision intelligence directly into their platforms. In this conversation,

    • Ian shares his background, from the Royal Navy and Xerox to building early web businesses, a SaaS platform, and an AI-focused company.
    • He describes how his SaaS business began by solving his own operational problem and then expanded when others in the industry recognized the same need.
    • He shares how, In enterprise AI, one needs to distinguish decision-support and forecasting systems from generative AI
    • Ian highlights that AI adoption in organizations depends heavily on leadership behavior
    • The conversation also covers mindset barriers, the empowerment of non-technical users, and the need to build confidence through hands-on experimentation rather than waiting for formal permission or perfect readiness.
    • On branding and customer acceptance, Ian explains that people may resist AI if it feels like replacement, but respond more positively when it is framed as assistive and human-in-the-loop.
    • He shares career advice for both newcomers and mid-career professionals
    • In closing, he shares aspects that help him stay grounded


    Ian Hogg is Chairman of SolvedBy.ai, an applied AI company helping SaaS vendors embed enterprise-grade forecasting, demand and decision intelligence directly into their platforms.

    He has spent his career building, scaling and investing in software businesses, with a particular focus on workforce management, SaaS partnerships and AI-driven operational optimisation.

    Ian is a strong voice on the “SaaS apocalypse” — the idea that AI will expose weak, seat-based SaaS models while creating huge opportunities for vendors that own deep workflow, data and distribution.

    At SolvedBy.ai, he is focused on helping SaaS companies add the AI layer their customers now expect, without needing to build specialist AI engines from scratch.


    Ian may be reached at:

    https://x.com/ianhogg88

    https://www.linkedin.com/in/ianhoggworktechgroup/

    https://solvedby.ai/
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    46 min
  • From H4 to CEO: Building a Life and Software Company with Rajashri Kidambi

    From H4 to CEO: Building a Life and Software Company with Rajashri Kidambi
    Jun 14 2026
    In this episode of Software People Stories, Gayatri Kalyanaraman sits down with Rajshri Kidambi, CEO of Radus Software LLC, for an inspiring and deeply personal conversation. Rajshri shares her journey from arriving in the United States as an H4 dependent to building a successful software company serving federal agencies for over two decades. Together, they discuss entrepreneurship, motherhood, Agile transformation, government technology, resilience, AI, and the power of taking calculated risks. A thoughtful conversation about leadership, growth, and creating impact that lasts.Timestamped Show Notes00:00 – Welcome to Software People Stories - Gayatri introduces Rajshri Kidambi, CEO of Radus Software LLC, and sets the stage for a conversation spanning technology, entrepreneurship, leadership, and life.00:57 – From Electronics Engineering to Software Development. Rajshri shares her early journey—from studying Electronics & Telecommunications Engineering in India to arriving in the U.S. on an H4 visa and transitioning into software development during the tech talent boom of the 1990s.02:38 – The Birth of Radus Software. After nearly a decade at CACI Federal, Rajshri realized she could build a company of her own. She discusses the decision to launch Radus Software and the motivation behind becoming an entrepreneur.05:43 – Discovering a Passion Beyond Programming. Moving from coding to customer interactions, Rajshri explains how becoming a subject matter expert and presenting software solutions to military stakeholders revealed her aptitude for business development and sales.07:18 – Overcoming Language and Confidence Barriers. Growing up in a Kannada-medium school, Rajshri initially struggled with confidence in professional communication. She shares how experience helped her overcome those challenges.09:11 – The Turning Point: Why She Started Her Own Company. Rajshri discusses seeing the value she created for her employer, understanding government contracting economics, and making the leap into entrepreneurship while raising young twins.11:28 – Motherhood, Career Pivots, and Personal Choices. An honest discussion on balancing career ambitions with family priorities, and why every woman's professional journey follows a different path.14:49 – Wearing Every Hat in a Startup. Rajshri reflects on the early years of Radus Software, where she managed accounting, invoicing, operations, contracts, and business development while learning entrepreneurship from the ground up.17:31 – Building Software for the U.S. Federal Government. Rajshri discusses her work across agencies including the Department of Defense, FAA, GSA, and NNSA, and explains how government technology modernization differs from the commercial sector.19:19 – Digital Transformation, Data Governance & SAM.gov. A look into large-scale government modernization initiatives, Agile adoption, business process automation, and the evolution of digital government platforms.22:48 – Agile, SAFE Frameworks, and Government Transformation. Gayatri and Rajshri compare experiences implementing Agile practices in government organizations and discuss the challenges of cultural transformation.26:01 – Working with Multiple Vendors on Large Government Programs. Rajshri explains the realities of delivering federal programs alongside large consulting firms, balancing collaboration, competition, and customer expectations.37:19 – Building Credibility as a Small Business. The journey from subcontractor to trusted prime contractor and the importance of past performance, reputation, and persistence in federal procurement.38:45 – The Highs of a 25-Year Entrepreneurial Journey. Rajshri shares one of her proudest moments—co-presenting with SAFE creator Dean Leffingwell and showcasing Radus Software's Agile product innovation.41:18 – The Lowest Point: Losing a Contract She Loved A deeply personal reflection on losing a major FAA contract after years of investment and how family support and lessons from the Bhagavad Gita helped her recover.45:06 – The One CEO Responsibility She Will Never Delegate. Why customer relationships remain the foundation of business growth and long-term success.47:15 – Looking Ahead: AI, Automation, and Agentic Systems. Rajshri discusses the future of AI, how tools like ChatGPT and Gemini are already changing the way people work, and the importance of governance and guardrails.50:52 – Human Intelligence in an AI-Powered World. A conversation about preserving critical thinking while embracing AI-assisted productivity.53:30 – Final Advice for Aspiring Entrepreneurs. Rajshri's closing message: take calculated risks, build something you care about, stay resilient, and enjoy the journey.55:44 – Closing Remarks. Gayatri wraps up the conversation and thanks Rajshri for sharing her story and insights.Memorable Quotes"If I can do it, anybody can do it.""Take calculated risks.""Relationships are what give you business.""You ...
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    52 min
  • Reviving Developer Passion with Paramu Kurumathur

    Reviving Developer Passion with Paramu Kurumathur
    May 29 2026

    My guest today is a good friend and colleague - and not to forget with whom I was a co-author for a book, Paramu Kurumathur.


    In this episode, Paramu discusses how his recent development work evolved from small Google Apps Script utilities copied and adapted from online examples to building AI-connected applications via APIs to tools like Gemini and ChatGPT, including enabling Q&A over his book content.

    He describes surprises from “conversing” with his books—especially that LLMs retain details he has forgotten—while noting key risks such as hallucinations and the need for precise prompts. He explains learning Cursor with guidance from our colleague, Raja, discovering that it can generate code, and rapidly producing a proof of concept that maps citizens to the Government welfare schemes using PDFs, Chroma DB, sentence transformers, and queues—work that took about a week instead of months.

    The conversation contrasts older development eras with today’s dependency-heavy environments, argues many SDLC intermediate steps are compressed, and highlights transferable mid-career skills in requirements and problem translation, alongside concerns about limited debugging and testing depth.



    The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section


    00:00 Welcome and Setup

    01:16 Rediscovering Coding via Apps Script

    02:02 Connecting Scripts to LLM APIs

    03:21 Talking to Your Own Book

    05:32 Hallucinations and Prompt Control

    06:50 Learning Cursor and Building a POC

    09:09 Old School Dev vs Modern Tooling

    12:00 AI Changes the SDLC

    13:36 Testing and Trusting AI Output

    15:10 Debugging Gaps and Assumptions

    16:34 Setting AI Standards

    17:20 Mid Career Transfer Skills

    18:48 Prompting Without Hallucinations

    20:21 Courses vs Learning by Doing

    23:25 Overcoming First Step Fear

    25:24 LLM Limits in Astronomy

    28:24 Cursor for Reliable Code

    29:37 Anybody Can Code Now

    31:13 Next Projects and Wrap Up
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    34 min
  • From Gaming to Global Efficiency with Evan J Schwartz

    From Gaming to Global Efficiency with Evan J Schwartz
    May 22 2026

    My guest today is Evan J. Schwartz, the COO of AMCS Group North America, a global leader in sustainable cloud technology. He also serves as an Adjunct Professor and Board Advisor at Jacksonville University, mentoring graduate students in AI, cybersecurity, and technical project management.


    Evan traces his technology origin from early-1980s bulletin board systems to founding a company that built graphic multiplayer BBS games and a scripted graphics language,

    that he says predated HTML, reaching 33 titles across a global BBS market before the internet rapidly displaced it around 1995.

    He then shifted from internet gaming into business software, automating insurance workflows and later working in commodity and “reverse logistics” industries including forestry, natural gas, and waste/recycling at AMCS, citing route optimization across 770,000 trucks that saves 17–20 gallons of diesel per truck.

    He discusses why ERP adoption is hard, advocating game-design-style gradual introduction, putting people first, and having product teams do end-user jobs.

    He emphasizes vendor relationships over feature requests, AI governance and risk frameworks, a “person + AI” stewardship model, and evolving education/career paths toward broad skills, clear communication, domain knowledge, and knowing what “good” looks like.


    The timestamps are approximate and do not include the time for the intro. Add about 90 seconds to locate the section


    00:00 Welcome and Setup

    00:31 Early Computing Origins

    01:20 Building BBS Games

    03:02 Internet Shift to Business

    05:01 Reverse Logistics Mission

    06:34 ERP and AI Adoption

    08:31 Gaming Lessons for ERP

    11:03 People First Strategy

    13:00 Empathy by Doing the Job

    17:29 Vendor Trust and Roadmaps

    21:31 Universities vs AI Change

    24:58 Training Architects Without Coding

    26:03 AI as Faster Camera

    26:58 Stewardship Over Replacement

    28:34 Why Hallucinations Happen

    29:52 Capstones in One Class

    30:37 Excel to AI Migration

    33:08 M&A Governance Interop

    35:45 EU AI Act Reality Check

    37:56 Culture Shapes Adoption

    40:31 Interstellar Waiting Trap

    41:53 Career Skills for Stewards

    44:41 Quiet Failure Risk

    45:57 Protect Time and Values

    48:52 Closing Thanks


    Evan J. Schwartz is the COO of AMCS Group North America, a global leader in sustainable cloud technology. With 35+ years of experience in resource-intensive industries like waste, recycling, and natural gas, he drives digital transformation through AI and data science. Formerly AMCS’s Chief Enterprise Architect, Evan is also an adjunct professor at Jacksonville University, mentoring future IT leaders. A Forbes Technology Council member and sought-after speaker, he advocates for AI-driven sustainability and ethical tech. His bestselling book, People, Places, and Things, cements his expertise in seamless ERP implementation.


    SOCIAL MEDIA LINKS:

    Website: https://www.evanjschwartz.com/

    LinkedIn: https://www.linkedin.com/in/evan-schwartz-live/
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    52 min