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FutureForward

Podcast de Techcanvass

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🎙️ FutureForward is a podcast series by Techcanvass, exploring the intersection of Artificial Intelligence, Business Analysis, and Data Analytics. In each episode, we engage in insightful conversations with industry professionals, diving deep into topics that span technology, business trends, career growth, and the evolving skillsets shaping the future of work.

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37 episodios

episode Building Career in the AI Age | Future Forward Ep. 37 | Techcanvass artwork

Building Career in the AI Age | Future Forward Ep. 37 | Techcanvass

AI is no longer a distant disruption — it’s actively reshaping careers across industries. In this insightful episode of Future Forward, Abhishek Srivastava, Founder & CEO of Techcanvass, speaks with Hemraj Sadhnani, Senior Vice President – Product Engineering, Datamatics Robotics Software Limited, about what it really takes to build a strong career in the AI era. With over three decades of hands-on AI implementation experience, Hemraj separates hype from reality and shares what professionals must do to stay relevant. If you are a Business Analyst, Product Manager, Engineer, or aspiring tech leader — this episode will give you clarity, not fear. 🔥 Explore Our AI Programs: AI Certification for Business Analysts https://tnvs.in/3bkvp43e AI Certification for Data Analysts https://tnvs.in/e3ebs98t If this episode helped you rethink your career strategy in the AI age: 👍 Like 💬 Comment your biggest AI career concern 🔔 Subscribe for more leadership conversations #FutureForward #AI #CareerInAI #BusinessAnalysis #ProductManagement #AILeadership #Techcanvass

26 de feb de 2026 - 37 min
episode Cloud Computing in the age of AI | Future Forward Ep. 36 | Techcanvass artwork

Cloud Computing in the age of AI | Future Forward Ep. 36 | Techcanvass

Cloud computing is no longer just an infrastructure choice—it has become the backbone of enterprise AI transformation.Today, nearly 60% of enterprise data is stored in the cloud, and the combined cloud revenues of Amazon, Microsoft, and Google exceed $300 billion. With AI accelerating innovation at an unprecedented pace, the real question is:Is AI reshaping cloud strategy—or redefining it entirely?In this episode of FUTURE FORWARD, we explore how AI and cloud computing are tightly interconnected, why enterprises cannot scale AI without cloud infrastructure, and how rising AI workloads are changing cost, governance, and architectural decisions.Hosted by Abhishek Srivastava, Founder & CEO, Techcanvass, this conversation features Paritosh Darekar, Associate Director – AI Labs (Solution Architect), who shares practical, enterprise-grade insights from building GenAI-powered solutions on cloud-native architectures.From startups scaling overnight to enterprises managing multi-region resilience, this episode breaks down cloud computing in simple terms—and then connects it directly to AI strategy, cost dynamics, security, and careers.The discussion also addresses a key concern:While AI increases cloud consumption and costs, it also dramatically accelerates value delivery—reducing months of effort into hours.🎤 About Our GuestParitosh DarekarAssociate Director – AI Labs (Solution Architect)Paritosh works at the intersection of cloud, data, and AI—designing scalable, enterprise-grade AI systems built on cloud-native foundations. He is passionate about responsible AI adoption, system design excellence, and aligning architecture with measurable business value.🔗 Connect with Paritosh Darekar on LinkedIn:https://www.linkedin.com/in/paritosh-darekar/🔍 In this episode, you’ll learn:* Cloud computing explained in practical, simple terms* Why AI cannot scale without cloud infrastructure* How AI impacts cloud costs (and why value still outweighs cost)* Public vs private vs hybrid cloud use cases* Data residency risks in AI applications* Vendor lock-in and multi-cloud strategies* How AI agents may automate cloud troubleshooting* Why cost observability & FinOps are underhyped* Key cloud career paths (Cloud Architect, DevOps, Security, MLOps, AI Platform Engineer)* How Business Analysts & Product Managers can contribute to cloud cost optimization* The one foundational skill every tech professional must master🎯 Who should watch this episode?* Cloud Architects & DevOps Engineers* AI & ML Professionals* Business Analysts & Product Managers* Enterprise Technology Leaders* Students planning a career in Cloud or AI📺 Subscribe on YouTube: @techcanvassacademy🎧 Spotify: https://tnvs.in/335k9bf9🍏 Apple Podcasts: https://tnvs.in/y8zndc9z📩 Business & collaboration inquiries:abhishek@techcanvass.com🔥Explore our AI courses:AI Certification for Business Analysts: https://tnvs.in/3bkvp43e AI Certification for Data Analysts: https://tnvs.in/e3ebs98t If this episode helped you understand the deep connection between AI and cloud computing, don’t forget to LIKE, SHARE & SUBSCRIBE.Move beyond infrastructure—understand cloud as the foundation of intelligent systems.#FutureForward #CloudComputing #AIInfrastructure #EnterpriseAI #CloudStrategy #SystemDesign #FinOps #Techcanvass

19 de feb de 2026 - 38 min
episode Title: Cloud Spend ≠ Cloud Value: The FinOps Wake-Up Call | Future Forward Ep. 35 | Techcanvass artwork

Title: Cloud Spend ≠ Cloud Value: The FinOps Wake-Up Call | Future Forward Ep. 35 | Techcanvass

Cloud adoption promised scalability, agility, and cost efficiency. But today, many enterprises are facing a different reality—rising cloud bills, unclear ownership, and massive cloud waste. In this episode of FUTURE FORWARD, we break down one of the most critical yet misunderstood domains in enterprise tech today: Cloud Governance & FinOps. Hosted by Abhishek Srivastava, Founder & CEO of Techcanvass, this discussion features Naval Kush, Cloud Governance Manager at Amdocs, a LinkedIn Top Voice known for his thought leadership across multi-cloud governance, FinOps, and enterprise cloud transformation. Together, they unpack why 25–35% of global cloud spend is often wasted—and why the solution isn’t just cost-cutting, but structured, shared accountability across engineering, finance, and business teams. Cloud billing today is dynamic, decentralized, and consumption-based. That means traditional budgeting models no longer work. This episode explains how FinOps evolved, why it’s not “owned” by one team, and how Business Analysts can play a strategic role in controlling cloud costs without hurting performance or innovation. Going beyond surface-level cloud dashboards, the conversation explores real-world examples—from storage lifecycle automation that saved 18% annually, to the balance between AI-driven optimization and AI-driven overspending. 🎤 Meet Our Guest Naval Kush Cloud Governance Manager, Amdocs Naval brings 13+ years of IT experience across service, product, BFSI, and telecom environments. He leads multi-cloud governance initiatives, designs automation guardrails, and helps enterprises align cloud spending with business value and compliance goals. 🔗 Connect with Naval Kush on LinkedIn: https://www.linkedin.com/in/navalkus 🔍 In this episode, you’ll learn: What cloud waste really means Why 25–35% of cloud spend may be underutilized Why FinOps is a shared accountability model How Business Analysts can analyze cloud billing data Questions BAs should ask about idle resources & commitments Why aggressive cost-cutting can harm performance How to measure real cloud value (cost per customer, ROI, unit economics) The role of AI in optimizing cloud spending FinOps certifications & career entry pathways 🎯 Who is this episode for? Business Analysts working with cloud environments Professionals exploring a FinOps career Cloud architects & engineering managers Finance teams managing cloud budgets Enterprise leaders dealing with rising cloud costs 📺 Subscribe on YouTube: @techcanvassacademy 🎧 Spotify: https://tnvs.in/335k9bf9 🍏 Apple Podcasts: https://tnvs.in/y8zndc9z 📩 Business & collaboration inquiries: abhishek@techcanvass.com 🎓 Explore Cloud, Business Analysis & Enterprise Learning Paths Looking to build structured expertise in Cloud Governance, FinOps, or Business Analysis? 👉 Explore Programs at Techcanvass: https://techcanvass.com If this episode helped you understand Cloud Governance, FinOps, or the evolving role of Business Analysts in enterprise cloud management, don’t forget to LIKE, SHARE & SUBSCRIBE. #CloudGovernance #FinOps #FutureForward #Techcanvass #EnterpriseCloud #BusinessAnalysis #CloudStrategy #GreenOps #AIForFinOps #CloudOptimization

12 de feb de 2026 - 40 min
episode Product Management Interview Questions and Answers | Future Forward Ep. 34 | Techcanvass artwork

Product Management Interview Questions and Answers | Future Forward Ep. 34 | Techcanvass

Many candidates struggle in Product Management interviews—not due to a lack of capability, but because they don’t fully understand what interviewers are actually assessing. In this episode of FUTURE FORWARD, we unpack the most common Product Management interview questions and explain how they are used to evaluate product thinking, problem-solving ability, and decision-making skills. Hosted by Abhishek Srivastava, Founder & CEO of Techcanvass, this discussion features Roopa Krishnamoorthi, Operations & Product Leader, and Abhilasha Pandey, Program & Product Management Leader. Together, they share how interviewers assess product thinking beyond surface-level or rehearsed responses. Product Management interviews are designed to test strategic thinking and a candidate’s approach to solving complex user and business problems. Success requires clarity in product sense, structured problem-solving, and strong behavioural responses—and that’s exactly what this episode breaks down. Going beyond standard interview frameworks, the conversation highlights why jumping straight to solutions can be a red flag, and why problem-first thinking, adaptability, and versatility matter far more than polished answers. 🎤 Meet Our Guests Roopa Krishnamoorthi Operations & Product Leader Roopa shares how the product manager role extends beyond titles—into operations, platforms, and execution—along with insights into real hiring expectations. 🔗 https://www.linkedin.com/in/roopa-krishnamoorthi-15407754/ Abhilasha Pandey Program & Product Management Leader Abhilasha brings 20+ years of experience shaping product manager careers, evaluating talent, and building products across industries. 🔗 https://www.linkedin.com/in/abhilasha-pandey-0284491 🔍 In this episode, you’ll learn: * Product manager role explained from hiring perspective * How product manager interviews are evaluated * Product manager frameworks used in real interviews * How to build and explain a product manager roadmap * How to think about metrics, prioritization, and user value * How to talk about failures in product manager interviews * What interviewers expect beyond theory and certifications 🎯 Who is this episode for? * Aspiring Product Managers * Professionals exploring a product manager career * Candidates preparing for a product manager interview * Anyone learning product manager basics or transitioning roles 📺 Subscribe on YouTube: @techcanvassacademy 🍏 Apple Podcasts: https://tnvs.in/y8zndc9z 📩 Business & collaboration inquiries: abhishek@techcanvass.com 🎓 Upskill for the Product Manager Role Looking to strengthen your foundation with structured learning? Explore product manager course and product manager training programs focused on frameworks, interviews, roadmaps, and real-world execution. 👉 Explore Product Management Course & Training: https://tnvs.in/4nzcuxym If this episode helped you understand the product manager role, prepare for product manager interviews, or plan your product manager career, don’t forget to LIKE, SHARE & SUBSCRIBE. #ProductManager #ProductManagerInterview #ProductManagerCareer #ProductManagement #ProductManagerFramework #ProductManagerRoadmap #FutureForward #Techcanvass #AIProductManage

5 de feb de 2026 - 45 min
episode Artificial Intelligence(AI) – Has it lived up to its hype? | Future Forward Ep. 33 | Techcanvass artwork

Artificial Intelligence(AI) – Has it lived up to its hype? | Future Forward Ep. 33 | Techcanvass

In this episode of Future Forward, we take a deep, no-hype look at one of the biggest questions shaping the AI era today: Is AI truly delivering value—or are we heading into an AI investment bubble? With billions of dollars being poured into AI infrastructure by companies like Amazon, Google, Microsoft, Meta, and NVIDIA, the expectations are sky-high. Yet many organizations still struggle to see clear ROI, scalable impact, or real transformation beyond pilots and productivity hacks. This episode cuts through the noise to explore what’s really happening beneath the surface. Hosted by Abhishek Srivastava, Founder & CEO, Techcanvass, this conversation features Chinmay Gavankar, an AI & Data Science Expert with over 24 years of industry experience, who has worked with global organizations including Microsoft, Google, IBM, SAP, and TCS. Rather than theoretical buzzwords, Chinmay shares grounded insights from real enterprise environments—explaining why AI adoption is high, transformation is low, and what must change for AI to truly reshape businesses, careers, and society. 🌟 About Our Guest Chinmay Gavankar – AI & Data Science Expert Chinmay brings deep hands-on experience in building, deploying, and interpreting AI systems, with a strong focus on real-world applications beyond theory. A respected thought leader and Marathi podcaster, he is known for simplifying AI for everyday audiences and actively contributing to digital literacy and citizen-focused initiatives. 🔗 Connect with Chinmay Gavankar on LinkedIn: https://www.linkedin.com/in/chinmay/ 🔍 In this episode, you’ll learn: Why Big Tech is investing hundreds of billions into AI—and what they expect in return The difference between AI training vs inferencing and why inferencing is the real business opportunity What AI agents actually are—and how they differ from chatbots Why most enterprises are stuck in pilots and failing to scale AI The real meaning of AGI—and why we’re still far from it Why AI adoption doesn’t automatically translate into ROI The biggest data readiness and architecture challenges blocking AI success Why energy, power, and infrastructure are becoming critical AI bottlenecks How sovereign AI is reshaping global AI strategy Why AI is creating internal friction between business, IT, and security teams The most important human skill professionals must develop in the AI era Where AI is over-promising—and where it genuinely delivers value Whether current AI investments are visionary—or bubble-driven 🎧 Who is this episode for? Product Managers, Business Leaders, Data & AI Professionals, Enterprise Architects, Consultants, and anyone who wants to understand where AI truly stands today—and what comes next beyond the hype. 📺 Subscribe on YouTube: @techcanvassacademy 🍏 Apple Podcasts: https://tnvs.in/y8zndc9z 🌐 Explore Techcanvass AI-First Skilling Platform: https://techcanvass.com 📩 Business & collaboration inquiries: abhishek@techcanvass.com 📘 Upskill for the AI Era Explore Techcanvass programs designed to help professionals master AI fundamentals, business applications, and strategic decision-making. 👉 Learn more: https://techcanvass.com 🔥Explore our AI courses: AI Certification for Business Analysts: https://tnvs.in/3bkvp43e AI Certification for Data Analysts: https://tnvs.in/e3ebs98t If this episode helped you, don’t forget to LIKE, SHARE & SUBSCRIBE for more conversations on AI, Product Management, Business Strategy, and Career Growth. #FutureForward #ArtificialIntelligence #AIInvestments #AIInferencing #AIAgents #AGI #EnterpriseAI #Techcanvass #FutureOfWork #AILeadership

29 de ene de 2026 - 50 min
Muy buenos Podcasts , entretenido y con historias educativas y divertidas depende de lo que cada uno busque. Yo lo suelo usar en el trabajo ya que estoy muchas horas y necesito cancelar el ruido de al rededor , Auriculares y a disfrutar ..!!
Muy buenos Podcasts , entretenido y con historias educativas y divertidas depende de lo que cada uno busque. Yo lo suelo usar en el trabajo ya que estoy muchas horas y necesito cancelar el ruido de al rededor , Auriculares y a disfrutar ..!!
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