🎙️ 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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Building Career in the AI Age | Future Forward Ep. 37 | Techcanvass
Saison 1 · Épisode 37
jeudi 26 février 2026 • Durée 37:07
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:
Cloud Computing in the age of AI | Future Forward Ep. 36 | Techcanvass
Saison 1 · Épisode 36
jeudi 19 février 2026 • Durée 38:44
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
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.
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.
Artificial Intelligence(AI) – Has it lived up to its hype? | Future Forward Ep. 33 | Techcanvass
Saison 1 · Épisode 33
jeudi 29 janvier 2026 • Durée 50:32
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/
Designing Products for the Future | Ethical, Accessible & AI-Powered Product Design | Future Forward
Saison 1 · Épisode 32
jeudi 22 janvier 2026 • Durée 42:42
In this episode of Future Forward, we explore one of the most important shifts shaping modern product management today—how to design AI-powered products that are ethical, accessible, future-ready, and still deliver real business impact.
As AI rapidly moves from experimentation into everyday products, many teams rush to add “AI features” without fully addressing responsibility, trust, bias, explainability, or long-term scalability. This episode moves beyond buzzwords to unpack what AI-powered truly means—and why ethics and accessibility are no longer optional add-ons, but core product responsibilities.
Hosted by Abhishek Srivastava, Founder & CEO, Techcanvass, this conversation features Utkarsh Saraswat, Senior Product Manager at LinkedIn, who works at the intersection of Responsible AI, Trust & Safety, and large-scale AI-powered product experiences used by over a billion professionals worldwide.
Utkarsh brings a rare blend of engineering depth and product leadership, with experience across Unilever, Microsoft, and LinkedIn, building fintech, cloud, AI, and trust-led platforms at global scale. His expertise lies in designing ethical, accessible, and scalable AI systems with real-world impact.
🔗 Follow Utkarsh Saraswat on LinkedIn:
https://www.linkedin.com/in/utsar7/
🔍 In this episode, you’ll learn:
* What “future-ready products” really mean in a fast-evolving AI landscape
From Mid-Level BA to Business Analysis Strategist | Future Forward Ep. 31 | Techcanvass
Saison 1 · Épisode 31
jeudi 15 janvier 2026 • Durée 01:00:43
In this powerful episode of Future Forward, we explore one of the most pressing questions for Business Analysts in the age of AI:
👉 What are the real career paths ahead for Business Analysts—and how can you strategically transition into future-ready roles?
As AI reshapes industries, traditional roles are being dismantled and redefined.
In this episode, we go far beyond surface-level advice to unpack how Business Analysts can evolve into strategic leaders, Product Owners, Consultants, Architects, and more—without losing relevance or momentum. Our conversation dives deep into: How BA roles are transforming in an AI-driven decade The mindset shift required to move from execution to strategy Career options beyond traditional Business Analysis The hard skills and soft skills needed to succeed in strategic roles Why empathy, storytelling, and influence matter more than ever How to navigate politics, senior stakeholders, and boardroom dynamics Whether an MBA is really required to become a strategist Why Business Analysts have some of the most transferable skills in today’s market
🎙️ Our guest, Mohammad Bilal, shares his 17+ year journey across investment banking, capital markets, consulting, and product roles—offering candid insights, real-world examples, and practical frameworks that Business Analysts at any stage can apply immediately.
From moving beyond BRDs and user stories to mastering strategy analysis, business architecture, data literacy, and leadership, this episode is a must-watch for anyone serious about long-term career growth.
🎙️ Hosted by Abhishek Srivastava Founder & CEO, Techcanvass
🌟 About Our Guest Mohammad Bilal Senior Product Owner | Business Analyst | Capital Markets & Investment Banking With 17+ years of experience, Bilal has delivered complex initiatives across global banks and product organizations. His expertise spans business analysis, product ownership, consulting, strategy, and solution oversight—making him a trusted voice on career evolution for Business Analysts.
🔗 Connect with Mohammad Bilal on LinkedInhttps://www.linkedin.com/in/mohammed-bilal-7288b512/
Why 90% of Products Fail? (And How to Build One That Matters) | Future Forward Ep. 30| Techcanvass
Saison 1 · Épisode 30
jeudi 8 janvier 2026 • Durée 33:04
In this insightful episode of Future Forward, we dive deep into one of the most critical questions in product management today:
What does it truly mean to build products that matter?
Using the iconic Coca-Cola vs Pepsi story as a starting point, this conversation goes beyond features, roadmaps, and technology to explore the real essence of product value—solving meaningful human problems at scale while driving sustainable business impact.
This episode unpacks how Product Managers must move from execution to orchestration, from building fast to building right. From asking the hard “why” questions to balancing user needs, business goals, and technical feasibility—this discussion is packed with real-world insights every PM can relate to.
Our guest Payal Shah, a seasoned Senior Product Manager with 15+ years of experience across hedge funds, investment banking, SaaS, and fintech, shares her journey into product management, her philosophy on value creation, and powerful examples from her career— including trust-first product design, saying “no” to the wrong features, and measuring outcomes over outputs.
Through relatable stories like the rise of UPI, fintech credit journeys, and enterprise product decisions, Payal explains how data, UX, trust, storytelling, and strategic thinking come together to create products users depend on—and businesses grow from.
⏰ Timestamps
00:00 – Welcome to Future Forward & episode introduction
01:10 – Coca-Cola vs Pepsi: Why products fail even with great tech
03:30 – Introducing the guest: Payal Shah & her product journey
06:00 – What does a Product Manager really do?
09:00 – Defining a “product”: Beyond apps, features, and screens
12:40 – What does it mean to build a product that matters?
From Requirements to Strategy - The expanding role of business analysts | FutureForward Ep. 29 | Techcanvass
Saison 1 · Épisode 29
jeudi 18 décembre 2025 • Durée 44:11
In this powerful episode of Future Forward, we break one of the biggest stereotypes in the IT industry — that Business Analysts are only requirement documenters.
This conversation goes far beyond diagrams and documentation to explore how Business Analysts can move up the value chain and become truly strategic partners in digital transformation. From asking the right “why” questions to driving adoption, influencing leadership, and shaping enterprise-wide solutions, this episode uncovers what it really takes to evolve as a modern BA.
Our guest Vikas, a seasoned professional with 19+ years of experience across healthcare, clinical workflows, hospital operations, and digital health systems, shares his inspiring journey from Business Analyst to Product Manager and strategic leader. Through real-world healthcare examples, he explains how data, AI, storytelling, and strategic thinking can dramatically improve outcomes — from patient care to cost efficiency and large-scale transformation.
⏰ Timestamps
00:00 – Welcome to Future Forward & episode introduction
00:45 – Why Business Analysts are often stereotyped in IT
02:10 – Introducing the guest: Vikas & his diverse healthcare background
03:05 – Vikas’ career journey: From medicine to business analysis & product management
05:10 – Why business analysis is more than documentation
06:45 – Evolution of the Business Analyst role over the last decade
08:30 – Using data, AI tools & insights for real-world impact
10:20 – Thinking strategically: Cost-benefit & client value
12:05 – The importance of asking “WHY” in business analysis
15:10 – Real healthcare example: Turning reports into actionable outcomes
19:00 – How BAs can move up the value chain
What Real Data-Driven Decision Making Looks Like | FutureForward Ep. 28 | Techcanvass
Saison 1 · Épisode 28
jeudi 11 décembre 2025 • Durée 46:28
In Episode 28 of FutureForward, we cut through the noise and uncover what real data-driven decision-making truly looks like—beyond tools, dashboards, and buzzwords.From understanding why decisions often lean on opinions instead of insights, to exploring how clean data, organizational culture, and the right questions transform outcomes, this episode deep-dives into how businesses can actually use data to drive strategy, uncover patterns, and deliver impact.We also explore the pitfalls of vanity metrics, how biases distort insights, why visualization choices matter, and how business analysts act as the bridge between leadership vision and actionable intelligence. Packed with real-world examples, this conversation is a masterclass on how effective data practices lead to stronger decisions, better customer experiences, and long-term competitive advantage.🎙️ Hosted by Abhishek Srivastava, Founder & CEO, Techcanvass🌟 About Our GuestPriyank Aneja, Senior manger🔗 Follow Priyank Aneja on LinkedIn:https://www.linkedin.com/in/priyank-aneja-b352909a/⏰ Timestamps00:00 – Introduction & Episode Overview02:00 – Guest Introduction and Professional Background06:30 – How Curiosity Led to a Career in Data10:15 – What Data-Driven Decision Making Really Means15:20 – Clean Data, Culture, & Asking the Right Questions21:00 – Key Elements for Building a Data-Driven Organization27:30 – Vanity Metrics vs Meaningful Metrics32:10 – Real Project Example: Improving Customer Satisfaction through Data38:00 – Visualization Choices & Avoiding Misinterpretation43:45 – Tackling Bias & Staying Neutral in Data Analysis50:20 – Role of BAs: Connecting Leadership Vision to Data Insights55:10 – How Clients Can Build Better Data-Driven Practices59:40 – Final Thoughts & Closing Insights🎧 Listen Now:Spotify: https://tnvs.in/335k9bf9Apple Podcasts: https://tnvs.in/y8zndc9z🌐 Explore Techcanvass India’s AI-First Skilling Platform:https://techcanvass.com📩 For collaborations & inquiries:abhishek@techcanvass.comIf this episode gave you clarity on what true data-driven decision making looks like, don’t forget to LIKE, SHARE & SUBSCRIBE for more conversations on AI, Business Analysis, Product Management, and Tech careers.#DataDrivenDecision #DataDrivenDecisionMaking #FutureForward #Techcanvass #BusinessAnalytics #DataAnalytics #DecisionMaking.
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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.
* 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.
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.
* Why ethics in AI product management is a deal breaker—not a differentiator
* What Product Managers actually do in Trust, Safety & Responsible AI teams
* How bias enters AI systems—and what PMs can do to reduce it
* Why accessibility must be a first-class product requirement from day one
* The difference between automation, generative AI, and true AI-powered products
* Why explainability is critical to building trust in AI decisions
* How PMs balance personalization with privacy responsibly
* Whether ethical AI products can still be profitable
* Why “cool AI features” fail without solving real user problems
* Practical frameworks for defining the what, why, and how of product decisions
* Advice for PMs building AI products with limited resources and high expectations
🎧 Who is this episode for?
Product Managers, Senior PMs, Engineers transitioning to PM, AI Product Leaders, and aspiring product professionals who want to build products that are not just intelligent—but responsible and trusted.
you’re a Business Analyst, Product Owner, Consultant, or aspiring strategist, this episode will help you rethink your career trajectory, build future-ready skills, and take control of your professional growth in an AI-dominated world.
👍 LIKE | 🔔 SUBSCRIBE | 📤 SHAREFor more deep conversations on Business Analysis, Product Management, AI, and Tech Careers, stay tuned to Future Forward by Techcanvass.
15+ years of experience building and scaling enterprise and fintech products with a strong focus on value creation, trust, UX, and business outcomes.
🔗 Connect with Payal on LinkedIn
https://www.linkedin.com/in/payal-shah-b56b3816b/
🎧 Also available on Spotify & Apple Podcasts
Apple Podcasts → https://tnvs.in/y8zndc9z
If you’re a Product Manager, Business Analyst, Consultant, or aspiring product leader, this episode will challenge how you think about features, speed, and success—and help you refocus on building products that truly matter in the age of AI and digital transformation.
👍 LIKE | 🔔 SUBSCRIBE | 📤 SHARE
For more conversations on Product Management, AI, Business Analysis, and Tech Careers, stay tuned to Future Forward by Techcanvass.
