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Stories of what worked and sometimes what did not, in the course of discovering, designing, developing and delivering software based solutions – as shared by practitioners who went through these situations.
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In this episode of Software People Stories, I speak with Saraswathi, a marketing leader with over 15 years of cross-industry experience, about the role of marketing in technology—especially how product marketers translate technical ideas into stories customers can understand and care about. We talk about digital communication, customer empathy, product adoption, AI in marketing, useful metrics, and practical career advice for anyone curious about moving into marketing. It is a thoughtful conversation on bridging products, people, and business impact.Among the highlights from this conversation are:Marketing fundamentals stay consistent, but customer pain points differ across industries.Digital content must be concise, compelling, and quick to capture attention.Audience niches and personalization help messages resonate better.Product marketers act as the bridge between product, UX, sales, and customers.Training works best when broken into short, accessible, in-product learning moments.Email remains effective when segmented and relevant to the audience.AI helps with competitive research, brainstorming, mockups, and faster first drafts.Brand voice can be protected by giving AI clear style guides, examples, and do’s and don’ts.Marketing impact should connect to opportunities, conversions, and revenue—not only vanity metrics.Support tickets offer unfiltered customer insight and can shape better messaging and product decisions.Career switchers can use transferable skills and start by getting closer to customers.Planning, yoga, short walks, and pausing before reacting help Saraswathi stay calm and grounded. Saraswathi Shanth Kumar (Sara) is a marketing leader with over 15 years of cross-industry experience translating complex products into compelling market stories. Her career spans advertising, journalism, SaaS, and Big Tech, leading to her current role at an edtech company in the Bay Area. Sara sees product marketing as the critical translator between product and market — and approaches every challenge with a problem-solver's mindset and a startup's appetite for experimentation. Outside of work, you can find her gardening, practicing yoga, and hiking the many trails in the Bay.My LinkedIn: http://www.linkedin.com/in/saraskumar
My guest today is Chander Sankaran, an ERP and change management Specialist. With a professional background in finance and accounting, he has played many cross-functional roles that bridge the gap between finance and information technology. In this conversation, Chander talks aboutBeginning his career in finance and accounting, then entering software through early ERP implementation work in a manufacturing plant in India.His move to the U.S. in the late 1990sHow his accounting and operational background helped him stand out in consulting by giving him stronger context for business requirements.Critical factors for smooth go-livesThe importance of change management for any enterprise technology work How factors such as global teams and hybrid work models require flexibilityThe benefits of AI in improving individual productivitySome concerns about AI’s environmental footprint and its potential effect on entry-level roles.He also shares practical career advice including keeping a resume updated, understanding that everyone is replaceableHis personal practices for staying groundedChander S is an ERP Specialist based in Texas, and originally from Chennai, India. With a professional background in finance and accounting, he has played in cross-functional roles that bridge the gap between finance and information technology. Outside of work, Chander enjoys yoga, trekking, and volunteering in his local community.He may be contacted at https://www.linkedin.com/in/chander-sankaran-9027503/
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 e
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 companiesIn 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 InstituteTalks 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 thoughtfullyStresses 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 rolesShares 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/
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 engineeringShares 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
In this episode of Software People Stories, Gayatri Kalyanaraman speaks with Indra Vidyaprakash, Site Leader for Workday India and Senior Director, 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 majo
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 AIIan highlights that AI adoption in organizations depends heavily on leadership behaviorThe 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 professionalsIn 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/ianhogg88https://www.linkedin.com/in/ianhoggworktechgroup/https://solvedby.ai/
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 imp
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Stories of what worked and sometimes what did not, in the course of discovering, designing, developing and delivering software based solutions – as shared by practitioners who went through these situations.
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