Every company is being told to "use AI." Very few leaders have a playbook for what actually works.
AI for Business Leaders is the show where senior operators at commerce brands, technology companies, and venture firms share the one AI decision that changed their business, what worked, what failed, and what they'd do differently.
Hosted by Dennis Yao Yu, Founder & CEO of The Other Group, a strategic advisory firm that partners with commerce and AI companies to unlock revenue and solve go-to-market challenges. With 20+ years at the intersection of commerce, technology, and AI, Dennis brings on the founders, investors, and operators who are building what's next.
Each episode unpacks real decisions, not theorym, from leaders navigating AI adoption, go-to-market strategy, organizational change, and growth at the intersection of commerce and technology.
Whether you're a brand scaling DTC, a tech or AI founder finding product market fit, or an investor evaluating AI-native companies, this show is built for the leaders making those bets.
My guest today is Vanessa Piacente, who leads global adoption at ElevenLabs. She started on an equity trading desk, joined Wealthsimple at about twelve people, and built the enterprise customer experience function at Ada before landing at ElevenLabs almost two years ago. A few weeks before we recorded, she stood up a brand-new team focused on what happens to an AI agent after it goes live.
In this conversation we discuss:
Why the adoption gap shows up across AI-native companies
The four measures they added on top of raw usage volume
Scaling in reverse: bespoke enterprise deployments turned into a repeatable motion
Three pillars of a deployment that sticks, and why change management matters more now than ever
The hiring agent she built for her own team: roughly 900 conversations, about 40 hours of call time
Why she wrote scope volatility into the job description
Connect with Vanessa on LinkedIn: https://www.linkedin.com/in/vanessapiacente/ (https://www.linkedin.com/in/vanessapiacente/)
18 Apr 2026
Albert Chun, Founder/CEO of AI Circle, on Training a Frontier Model, and Why "Everyone's B+"
"Quality over quantity. It is never about the number."
Albert Chun is the Founder of AI Circle — a vetted community for business leaders, founders, and operators building at the frontier of AI. Before AI Circle, Albert was a teacher in two of the country's poorest congressional districts, a Harvard grad student, an insurtech operator who scaled from 3 reports to managing 211 people across 13 M&As, and a senior leader at Invisible Technologies — where his team helped train what became the #1 open source frontier model in the world.
In this episode, Dennis and Albert get into what it actually looks like inside an AI company building on the frontier, why the AI ecosystem is over-indexed on credentials and under-indexed on experience, and the deeper human problem AI Circle is really solving.
In this conversation, we cover:
Why Albert walked away from C-level offers at triple the pay to take an AI role that "felt like the A+ problem in the A+ space of the industry"
What training a frontier model actually looks like day-to-day — and why reading one arxiv paper can put you ahead of almost everyone
How Albert thinks about AI ROI when model outputs are stochastic, loss functions don't map cleanly to revenue, and causation is a finger in the wind
The gatekeeping problem in AI — why polysyllabic jargon like "chain of thought reasoning" is really just "me sharing what I thought and why I did it"
Why Andrew Ng and Andrej Karpathy are both building education — and Albert's theory that education, not GPUs, is the biggest bottleneck in AI acceleration
Writing in public since Xanga and Friendster, the story of a broken pair of glasses that led to a $250K donation, and why corporate "stay in-house" advice was the wrong tea leaf
Why AI Circle is bootstrapped, not VC-backed — and the fight story from sophomore year that shaped how Albert thinks about community size forever
The deeper problem AI Circle is really solving: community, connection, and relationship as life gets harder and friend circles get smaller
If you are a business leader trying to separate real AI signal from buzzword noise — or a founder thinking about how to build trust-based community in an era of vanity metrics — this is one of the most honest conversations on the pod.
11 Apr 2026
Gary Benerofe, GP at Mu Ventures, on the Future of Agentic Commerce
What separates a genuine AI commerce startup from AI theater? Gary Benerofe is the General Partner of Mu Ventures, an early-stage venture capital fund investing in the future of commerce. With over 20 years deploying capital across stages and asset classes, Gary brings a unique combination of operational expertise and investment acumen — what he calls "operating capital."
In this conversation, we cover:
What "operating capital" means and why it matters more than just a check
The pattern recognition behind picking venture-backed founders — magnetism, talent attraction, and repeat founder advantage
How Mu Ventures expanded from pure commerce enablement to any transaction that removes friction
OpenAI's instant checkout vs. Google's agent payments protocol — two completely different approaches to agentic commerce
Why Gary's AI red flag is when the AI IS the thing, rather than AI making the thing better
The return to grassroots brand building as CAC rises and attribution breaks down
TikTok Shop, experiential marketing, and why hand-to-hand combat is back
Why the next 5 years of commerce infrastructure will be defined by buyer-agent-to-buyer-agent transactions
The real etymology of Mu Ventures (hint: it involves Yale, quarters, and beer)
If you're a founder, operator, or investor trying to separate signal from noise in the AI commerce landscape, this is the investor's lens you need.
4 Apr 2026
The AI Maximalist Playbook: James Raybould on Building at the Speed of Ideas
James Raybould is the former SVP and General Manager of Turing Intelligence, the enterprise consulting and AI deployment division of Turing — a company valued at $2.2 billion that partners with frontier AI labs like OpenAI to help enterprises transform AI from proof-of-concept into proprietary intelligence.
Before Turing, James spent 13 years at LinkedIn, where he played a key role in two major acquisitions: the $1.6 billion Lynda.com (http://Lynda.com) deal that became LinkedIn Learning and the Glint acquisition that brought employee engagement tools into the platform.
In this episode, Dennis and James dig into:
What it actually means to be "AI forward" — not as a buzzword, but in daily practice (from kid's homework tutoring to athletic training plans)
The #1 pattern that separates enterprises that succeed with AI from those that get stuck
Why picking a narrow, metrics-driven use case beats trying to "AI-ify" an entire function
How AI is shifting from incremental efficiency gains to a complete rewrite of how companies operate
The coordination cost problem — and why removing human bottlenecks accelerates everything
Why the gap between an idea and a functioning product is now measured in minutes, not months
The people side: how leaders can help their teams move past fear and embrace AI as an amplifier
Whether you're a founder evaluating where to deploy AI first, or an executive trying to get your organization to move faster — this episode delivers practical, no-fluff insights from someone who's seen both sides: building AI products and deploying them inside the enterprise.
Connect with James on LinkedIn: linkedin.com/in/jamesraybould (http://linkedin.com/in/jamesraybould)
Learn more about The Other Group: www.getothergroup.com (http://www.getothergroup.com)
28 Mar 2026
Charlie Ninegar, COO of DSS Games, on Getting People Off Their Phones and Growing Against the Grain
Charlie Ninegar is the COO of DSS Games, a fast-growing tabletop card games company on a mission to get people off their phones and back around the table. In this episode recorded live at eTail Palm Springs, we dig into how DSS Games stole market share while their category actually shrank, through relentless content quality, brand discipline, and a team-first approach to AI adoption.
Topics covered:
Growing in a shrinking market through content-first strategy
TikTok-first organic content: from 1,200 videos/year to fewer but higher-impact
Custom GPTs as a practical first step for AI adoption
Change management: why some young employees resist AI (and what to do about it)
The coming shift from "no AI in creative" to AI-assisted brand content
Why the AI arms race looks different outside the tech bubble
Sign up at www.getothergroup.com (http://www.getothergroup.com) for early access to episodes, frameworks, and insights we don't publish anywhere else.
17 Mar 2026
Aman Advani of Ministry of Supply On Building Customer Loyalty Through Rapid Experimentation
In this insightful interview, Iman from eTale shares how his apparel brand adapted to supply chain disruptions, leveraged AI for rapid testing and inventory management, and built customer loyalty through experimentation. Discover strategies for agility, AI integration, and maintaining innovation in a challenging market.
Supply chain agility and on-demand inventory
AI-driven rapid testing and decision-making
Building customer loyalty and increasing LTV
17 Mar 2026
Angela Clark of Patagonia - How Patagonia Uses Storytelling and AI to Engage Customers
In this interview, Angela Clark, VP of Digital at Patagonia, shares insights on how the brand navigates market disruptions, leverages storytelling, and integrates AI to enhance customer engagement and long-term brand loyalty.
Patagonia's response to tariffs and market disruptions
The role of storytelling in brand loyalty
AI and personalization in retail
4 Mar 2026
VP of Phoenix Suns - 97% of Fans Will Never Visit Your Stadium, Now What?
Only 2-3% of Manchester City fans will ever set foot in the stadium. So how do you build a business around the other 97%? Ron Li has spent his career figuring that out.
Body:
Ron Li is VP of Data Intelligence & Strategic Partnerships at the Phoenix Suns, where he oversees AI and data strategy across five properties — the Suns (NBA), Mercury (WNBA), Valley Suns (G League), Footprint Center, and the team's hospitality portfolio.
Before the Suns, Ron was employee #4 on the PGA Tour's international business team and helped build EA's competitive gaming division from scratch. He's also a former professional esports player.
In this episode, Ron breaks down:
Why sports teams can't think of themselves as an events business anymore
How the Suns use visual AI to measure sponsorship value in real-time
AI agents handling season ticket billing, lapsed fans, and new prospect lists
The Verizon 5G practice facility partnership and what "strategic" really means
Why a clean data foundation matters more than any AI tool
His hiring philosophy: curiosity over credentials
The e-bike analogy every business leader needs to hear
If you lead a team figuring out where AI fits in your business, this conversation is a blueprint — not theory.
Subscribe at Spotify and Apple Podcast and follow AI for Business Leaders wherever you listen.
www.getothergroup.com (http://www.getothergroup.com) to stay up to date for the latest
Contact AI for Business Leaders
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of AI for Business Leaders?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
