In this episode of Data Wars, Ash Srivastava and Prash Chandramohan sit down with Tiankai Feng, who shares his inspiring journey of blending data, AI, creativity, music, and writing into a unique professional identity.

The conversation explores how organizations can move beyond AI hype to focus on real business value, why strong data and AI governance matter more than ever, and how leaders can “follow the pain” to solve meaningful problems.

Tiankai also reflects on personal branding, overcoming self-doubt, staying original in an AI-driven world, and why the future belongs to professionals who can bridge technical depth with human-centered thinking.

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/0K6y-YpvurM

🎵 Spotify: https://open.spotify.com/episode/709ream3qQdqfmT593NMuU?si=4t01hqxgQNmaPvj3CrIHvQ

🍎 Apple Podcasts:

In this episode of Data Wars, Ash Srivastava and Prash Chandramohan sit down with Vinay Simha, Founder of Strategic Business Networks and a veteran data leader with 25+ years of experience in enterprise transformation. Vinay shares why he walked away from a high-profile corporate career to pursue a mission-driven venture focused on turning data into business value—especially as AI accelerates.

The conversation dives into what it really takes to build a data strategy that works, why leaders must start with a clear vision (not tools), and how India’s Aadhaar + UPI ecosystem is a real-world masterclass in trusted identity, master data, and network effects at scale. Vinay also explores the “human side” of leadership—managing anxiety in volatile job markets, embracing humility, and building resilience through self-care, journaling, and mentorship.

By the end, you’ll walk away with practical lessons on MDM, governance, data platforms, and leadership mindset—plus Vinay’s North Star: helping struggling organizations become “the best” by building trust in their data.

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/t7h_urm_b5k

🎵 Spotify: https://spotifycreators-web.app.link/e/Tl7JW03R00b

🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/quitting-corporate-comfort-to-build-a-data-first/id1782784746?i=1000751202632

What does it look like to build AI that’s not just powerful—but human? And how do you turn a non-linear life journey into a blueprint others can “fork” and build on?

In this kickoff episode of Data Wars, we sit down with Helena (Qiaoshan) Yu, Data & AI leader at EnStream, to unpack the intersection of AI adoption, digital trust, social impact, and community-led change. Helena shares her path from filmmaking dreams to math and business, how a life-altering accident reshaped her worldview, and why she believes data + story + technology must work together to create meaningful outcomes.

We also dive into what it takes to deploy AI responsibly in regulated environments, how bias shows up both in systems and workplaces, and why the future of AI must include the people most affected as co-designers—not just end users. The conversation culminates in a powerful framing: live an “open-source life”—so others can learn from it, remix it, and create something even better.

In this episode, we cover:

1. Helena’s non-linear journey: film, psychology, math/business, and purpose-driven AI leadership

2. The pivotal moment: Microsoft’s AI for Good and “data as a tool for social impact”

3. Balancing innovation with trust in banks/insurance: privacy minimization, fairness, and human-centered design

4. Ethical AI in practice: discrimination risk, uneven model performance across groups, and responsible feature engineering

5. Microaggressions, systemic bias, and the role of allies—especially for women and people of color in tech

6. Mentorship lessons: start with the “why,” build your support squad, and stop weaponizing perfectionism

7. Climate Resilient Communities: why “parachuting in” doesn’t work—and what community-led data storytelling looks like

8. The future of AI: redistributing power through community-led governance and inclusive decision-making

9. Helena’s core message: your differences aren’t obstacles—they’re unique advantages

Connect with Helena:

Website: helena-yu.ca

LinkedIn: Search Qiaoshan (Helena) Yu

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/NKdQX0bQzdI

🎵 Spotify: https://open.spotify.com/episode/2UyTNRfxA8BQHbLV8t2kRF?si=c_ZSbUHHQe6HvF8FDBemIA

🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/human-centered-ai-trust-doing-tech-for-good-insights/id1782784746?i=1000749098820

What does it really take to build companies—again and again—when the highs are euphoric and the lows hit hard?

In this episode of Data Wars, we sit down with Andy Elwood, Founder & CEO of Stretch, a shopping intelligence platform reimagining grocery shopping by putting shoppers first. Andy shares hard-earned lessons from scaling Gowalla in the early App Store days (including a Disney partnership that landed them on the New York Times tech front page) to navigating privacy blowback (hello, pleaserobme.com) and ultimately being acquired by Meta (Facebook, pre-IPO).

We also go deep on what Andy is building now with Stretch—why grocery pricing transparency matters, why this is a “painkiller” problem, and how AI + collective intent can shift power back to consumers.

In this episode, we cover:

The mindset of repeat founders: expectations, incentives, and resilience

Building teams: why problem-obsession beats “can do the work”

“Borrowing audiences” and letting partners take the credit (Disney case study)

Why groceries lack a true “source of truth” (like Zillow, Kayak, GasBuddy)

Stretch’s 20% savings promise and the intelligence behind it

The data/engineering challenge: retailer-agnostic catalogs, product equivalency, personalization

Retail incentives, pre-purchase intent, and reducing food waste

The future: shopper-side agents vs retailer-side agents (and why it matters)

Andy’s advice when the PTSD kicks in: “You already have what you need.”

Connect with Andy:

Email: andy@stretch.ai

Jobs: stretchformore.com

Social: @AndyElwood

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/HEkkCIb6VJs

🎵 Spotify: https://spotifycreators-web.app.link/e/YHACR0JRvZb

🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-shopping-intelligence-insights-from-andy-elwood/id1782784746?i=1000743192369

What if most of your AI insights are pointing you in the wrong direction?

In this episode of Data Wars, we sit down with Mark Stouse, CEO of Proof Causal AI, to unpack why traditional predictive and correlational AI falls short in today’s volatile business environment — and why causal AI is emerging as the real decision-making engine for executives.

Mark brings a rare perspective, having served as CEO, CFO, CRO, and CMO, and explains how causal inference helps leaders answer the questions that actually matter:

1. What actions truly drive outcomes?

2. Where is risk hiding in plain sight?

3. Why are 50%+ of go-to-market investments ineffective?

We dive into:

1. The difference between predictive AI vs causal AI

2. Why CFOs and CMOs often talk past each other on “forecasting”

3. How causal AI acts like a Business GPS, constantly recalibrating decisions

4. The role of FASB & MASB compliance in AI-driven financial accountability

5. Building trust in data using explainable models and synthetic data

6. Why humility, timing, and risk-adjusted thinking define great leadership

If you’re a business leader, data professional, AI practitioner, or investor, this conversation will fundamentally change how you think about AI, forecasting, and decision-making.

📘 Bonus: Mark also shares insights from his upcoming book “Business GPS”, exploring how causal AI is shaping the future of enterprise strategy.

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/hCeDke-8xVY

🎵 Spotify: https://open.spotify.com/episode/67fjZiSQYpvZbZBhm2Rjwu?si=OcIYNblwSZ6IZq9_IXbrXA

🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/causal-ai-explained-why-correlation-fails-risk-wins/id1782784746?i=1000741540417

In this episode of Data Wars Podcast, hosts Ash Srivastava and Prash Chandramohan sit down with a very special guest — Dan Everett, a widely respected data leader, marketer, and author of The Techno-Optimist. With 25+ years in data & analytics and a unique journey shaped by neuroscience, cognitive psychology, and personal life experiences, Dan brings a perspective you won’t hear anywhere else.

🎯 What we cover:

Why organizations STILL fail to show measurable ROI on data & AI investments

How cognitive biases (anchoring, status quo, confirmation bias) silently derail transformations

Why data teams must shift from tech-first to business-outcome–first

The power of technical storytelling in selling ideas to executives

Why AI is NOT a magic wand — and what it actually takes to build value

Rethinking agents, orchestration, and the future of AI-driven decision systems

The real dangers of overautomation and losing domain expertise

What “technology for good” really means in a world fueled by GenAI

🔥 Top takeaways:

Stop measuring activity. Start measuring value.Challenge your legacy mental models.

Treat AI as a decision system, not the destination.

If you care about data leadership, AI adoption, organizational transformation, or simply want to understand why companies struggle despite billions invested — this episode is a must-watch.

🎧 Watch/Listen Now:

▶️ YouTube: https://youtu.be/Ze8DgnO3bOQ

🎵 Spotify: https://open.spotify.com/episode/2puYcZswdNMpXmLuTK2KLc?si=ItP7tMyETh-ffFemOBgbLg

🍎 Apple Podcasts: https://podcasts.apple.com/us/podcast/why-ai-roi-fails-how-cognitive-biases-sabotage-data/id1782784746?i=1000739299615

If you’re in data leadership, governance, AI, or transformation — this episode will change how you think.

#DataWarsPodcast #AI #DataStrategy #CognitiveBias #AnalyticsLeadership #DataGovernance #AIAdoption #TechnoOptimist #RedPicoConsulting

In this episode of Data Wars, hosts Prash Chandramohan and Ash Srivastava sit down with Rudy Ionides— a Senior Data Leader at Walmart with a remarkable journey from Software Engineering to Enterprise Data Strategy.

Rudy breaks down 20+ years of deep experience across RBC, TD, healthcare, and retail — sharing practical, real-world insights that every data leader, engineer, and strategist needs to hear.

⭐ What you’ll learn in this episode:How Rudy navigated a career from Developer → Dev Manager → Senior Data Leader

Why cloud migration fails without culture, governance & literacy

The real mindset shift required to move from on-prem to cloud

How to build high-performance data teams using autonomy & recognitionWhy governance is NOT boring — and how to make it a business growth engine

What regulated industries taught Rudy about data quality, lineage & controls

The role of analytics CoEs, MVP thinking & operationalizing data products

How to influence executives and build org-wide data culture

His honest take on careers, networking, and breaking into new industries

🔥 Key themes

Data governance, AI readiness, data literacy, cloud transformation, leadership, enterprise analytics, customer 360, financial services, privacy, efficiency, and high-impact delivery.

🎧 Listen On: YouTube → https://youtu.be/pks09SubT3U

Spotify → https://open.spotify.com/episode/54uOrSS62LwS9uC74koZi2?si=cTBnAYSUQnCKB4QSte2OIQ

Apple Podcasts → https://podcasts.apple.com/us/podcast/data-leadership-that-works-rudy-ionides-on-governance/id1782784746?i=1000737147699

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In this episode of Data Wars, hosts Ash Srivastava and Prash Chandramohan sit down with Jeremy de Freitas, Account Executive at Infoverity and long-time Product Information Management (PIM) expert — to explore how AI is reshaping product data, creativity, and customer experience.From automating product descriptions to generating contextual marketing copy, Jeremy shares how AI is transforming industries like retail and grocery while raising deep questions about trust, empathy, and the “human element” in an increasingly automated world.🎶 Jeremy also opens up about his love for music, creative inspiration, and how AI is changing the future of music composition and storytelling.👉

Topics Covered:

1. The evolution of PIM and its role in the AI era

2. How AI can automate yet preserve creativity and empathy

3. The “human connection” in customer experience

4. AI regulation, trust, and the emerging secondary markets

5. Balancing innovation and human authenticity in business

6. Real-world AI use cases in grocery and retail

📍 Guest: Jeremy DeFritas – Account Executive, Infoverity

🎙️ Hosts: Ash Srivastava & Prash Chandramohan

🎧 Available on:

🔹 YouTube: https://youtu.be/VK787IpKhYg

🔹 Spotify: https://open.spotify.com/episode/4mtT33nRQNrXPFZvLF4MUs?si=Z9EcEAF_S3-MdEHpYpbHvw