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:

[email protected]

🎓 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

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:

[email protected]

🎓 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

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:

[email protected]

📘 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

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.

🌟 About Our Guest

Utkarsh Saraswat – Senior Product Manager, LinkedIn

Responsible AI | Trust & Safety | AI Products

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

* 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.

📺 Subscribe on YouTube: @techcanvassacademy

🍏 Apple Podcasts: https://tnvs.in/y8zndc9z

🌐 Explore Techcanvass AI-First Skilling Platform: https://techcanvass.com

📩 Business & collaboration inquiries: [email protected]

📘 Upskill as a Product Manager in the AI Era

Explore Techcanvass’ Product Management Program, designed to help you master product strategy, AI-driven decision-making, ethics, and execution.

👉 Learn more: https://tnvs.in/yckuavfj

If this episode helped you, don’t forget to LIKE, SHARE & SUBSCRIBE for more conversations on Product Management, AI, Ethics, and Career Growth.

#FutureForward #ProductManagement #ResponsibleAI #EthicalAI #AIProducts #Accessibility #ProductLeadership #TrustAndSafety #Techcanvass #FutureOfWork

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/

🎧 Listen Now:

Apple Podcasts: https://tnvs.in/y8zndc9zIf

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.

#BusinessAnalysis #CareerTransition #FutureOfWork #AIandCareers #FutureForward #Techcanvass #ProductManagement #Strategy #Leadership #BusinessArchitecture #careerpath

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?

17:10 – Real-world example: Why UPI changed everything

23:00 – Discovering the real problem: Asking the right “WHY”

29:30 – Balancing user needs, business goals & tech feasibility

36:10 – MVP vs “Minimum Lovable Product” thinking

41:00 – When user insights completely change product direction

48:30 – Why trust matters more than speed in product design

54:10 – Handling feature pressure & saying no with confidence

1:01:30 – Measuring outcomes, not outputs

1:08:00 – Is a Product Manager the CEO of the product?

1:12:30 – Prioritization: UX, performance vs features

1:18:40 – Rapid fire round: Tools, mistakes & proud moments

1:24:00 – One powerful advice for aspiring Product Managers

1:27:00 – Episode wrap-up & key takeaways

🎙️ Hosted by

Abhishek Srivastava

Founder & CEO, Techcanvass

🌟 About Our Guest

Payal Shah

Senior Product Manager | SaaS, FinTech & Investment Banking

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.

#ProductManagement #BuildingProductsThatMatter #FutureForward #Techcanvass #SeniorProductManager #Fintech #SaaS #ProductStrategy #UX #AIinProduct #LeadershipInTech

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

21:10 – Three critical skills for strategic BAs: Listening, collaboration & learning

24:20 – Mindset shift from traditional BA to strategic partner

27:30 – Transition from Business Analyst to Product Manager

30:10 – What does “strategy” really mean in real projects?

33:40 – Role of BAs in digital transformation initiatives

36:15 – Cost-benefit analysis, feasibility & adoption challenges

39:50 – Adoption as the key success metric in transformation projects

42:30 – Aligning business goals with features & solutions

45:40 – Tools & frameworks BAs can use (Excel, AI, prototypes)

49:10 – Importance of design thinking for Business Analysts

53:00 – Why data analysis skills matter (without coding fear)

56:30 – AI as an assistant, not a replacement for BAs

59:40 – Mindset, continuous learning & strategic thinking

1:02:30 – Strategy, leadership & influencing without authority

1:06:00 – Power of storytelling in driving adoption

1:10:30 – Future of Business Analysts in the next 5 years

1:14:20 – How BAs can stay relevant in the AI era

1:18:00 – One powerful advice: “Be the change”

1:21:10 – Practical first steps to becoming a strategic BA

1:24:00 – How to connect with Vikas

1:25:30 – Episode wrap-up & closing remarks

🎙️ Hosted by:

Abhishek Srivastava, Founder & CEO, Techcanvass

🌟 About Our Guest:

Vikas Sinha, Product Strategy | Healthcare IT Leader,Core Mobile, Inc

19+ years of experience in healthcare transformation, clinical data platforms, and enterprise digital solutions

🔗 Connect with Vikas on LinkedIn

LinkedIn: https://www.linkedin.com/in/vikash-sinha-97864610/

🎧 Listen Now:

Apple Podcasts: https://tnvs.in/y8zndc9z

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:[email protected] 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.

In Episode 27 of FutureForward, we dive deep into AI in healthcare and how it is revolutionizing modern medicine. From radiology and emergency triage to cancer detection, stroke prediction, and personalised treatment planning, we explore how AI in healthcare is reshaping diagnostics and patient care.

This episode reveals how AI supports clinicians in decision-making, strengthens accuracy rather than replacing doctors, and expands access through portable AI-led tools in underserved regions. We also discuss ethical challenges, data quality issues, regulatory considerations, and what every patient should know in today’s rapidly evolving AI-driven medical world

Hosted by Abhishek Srivastava, Founder & Chief Mentor, Techcanvass

🌟About Our Guest

Dr. Rohitashva Agrawal, Director of Medical Affairs & Strategy — a globally trained physician with Harvard-driven innovation experience and healthcare AI deployments across 100+ countries.

⏰ Timestamps

00:00 – Introduction & Episode Overview

02:10 – Guest Introduction and Career Background

08:30 – Transition from Clinical Practice to Digital Health & AI

13:50 – Where AI fits in Healthcare: Pharma, Clinical, Administration Layers

18:40 – AI in Drug Discovery, Digital Twins & Clinical Trials

25:50 – AI in Radiology: Detection of Missed Findings & Critical Triage

32:00 – AI in Treatment Planning & Doctor Support Tools

36:45 – Reducing Subjectivity & Assisting Clinicians

41:20 – AI in Healthcare Administration, Automation & Scheduling

45:10 – Preventive AI: Predicting Risks Before Illness Occurs

48:55 – Telemedicine, Hub-and-Spoke Models & Rural Care Deployment

53:10 – Personalised Medicine & Genomics-Driven Care

56:05 – AI Adoption Concerns: Bias, Data Privacy & Regulation

57:20 – Future Outlook, Advice for Patients & Clinicians + Closing

📺 Subscribe on YouTube: @techcanvassacademy

🎧 Listen on Spotify: https://tnvs.in/335k9bf9

🍏 Listen on Apple Podcasts: https://tnvs.in/y8zndc9z

Connect with Dr. Rohitashva Agrawal on Linkedin: https://www.linkedin.com/in/dragrawal/

🌐 Explore Techcanvass India’s AI-First Skilling Platform: https://techcanvass.com

📩 For collaborations & inquiries: [email protected]

If this episode helped you understand how AI is shaping healthcare, don’t forget to LIKE, SHARE & SUBSCRIBE for more conversations on AI, Business Analysis, Product Management, and Tech careers.

#FutureForwardPodcast #Techcanvass #AIinHealthcare #HealthcareInnovation #DigitalHealthTransformation #MedicalAI #ClinicalAI #HealthTechIndia #TechCareersIndia

In Episode 26 of FutureForward, we explore one of the most important shifts happening in the world of analytics today—AI in Data Analytics is reshaping how businesses explore data, uncover insights, and make decisions. From understanding where AI fits in the lifecycle…to tools, business use cases, industry adoption, and real-world limitations—this episode brings analytical clarity to a topicHosted by Abhishek Srivastava, Founder & Chief Mentor, Techcanvass, this conversation features Farhan Khan, Managing Consulting Principal.🌟 About Our GuestFarhan Khan – Principal, Accenture Strategy & ConsultingAI-driven analytics leader with expertise across telecom, revenue assurance, BI, fraud analytics & enterprise data systems. Known for transforming legacy data stacks into AI-powered modern intelligence ecosystems.🔍 In this episode, you’ll learn:The difference between Traditional vs AI-Driven Data Analytics (at 3:54)What makes AI powerful — cloud, LLMs, deep learning & data availabilityWhat Augmented Analytics really means for analysts (13:14)How AI supports the entire Data Analytics Lifecycle (14:12)AI-powered tools: Power BI Copilot, Tableau Einstein, Python-based ML, Azure MLWhy “it’s not about tools, it’s about your data ecosystem” (20:33)The role of Data Modelers & why AI cannot replace data modelingThe true reason AI has limitations (47:03)Skills analysts need: prompting, domain knowledge, SQL/Python fundamentals, business sense⏰ Timestamps00:00 – Episode introduction03:54 – Traditional vs AI-Driven Analytics (Promo clip)07:08 – Industries leading AI-analytics adoption13:14 – What is Augmented Analytics?14:12 – AI across the entire Analytics Lifecycle20:33 – “It’s not about the tools” – Why data ecosystems matter42:45 – AI vs Analysts: How do you stay relevant?47:03 – Why AI has limitations? (Bias, data quality, training issues)51:00 – Skills, tools & mindset every analyst must buildWho is this for?Business Analysts, Data Analysts, Product Teams, Students & Professionals exploring careers in AI and Data.📺 Subscribe on YouTube: @techcanvassacademy🎧 Spotify: https://tnvs.in/335k9bf9🍏 Apple Podcasts: https://tnvs.in/y8zndc9z🌐 Explore Techcanvass India’s AI-First Skilling Platform: https://techcanvass.com🔗 Follow Farhan Khan on LinkedIn: https://www.linkedin.com/in/farhan-khan-60488b8/📩 Business & collaboration inquiries: [email protected] this episode helped you, don’t forget to LIKE, SHARE & SUBSCRIBE for more conversations on AI, Data Analytics, Business Analysis & Digital Product Careers.#AIinDataAnalytics #DataAnalytics #ArtificialIntelligence #MachineLearning #GenAI #DataCareers #BusinessAnalytics #AIFuture #Techcanvass #FutureForwardPodcasts