MENGENAI PODCAST INI 🔗
CIOs are being handed massive AI budgets and board-level pressure to prove value. This show features conversations with technology leaders about what's actually driving impact, what's not, and how they're making the case to skeptical executives.
Kekerapan kemas kini:
biweekly
Purata panjang audio:
36 minutes
Temu bual tetamu
Bahasa Inggeris
Amerika Syarikat
17 episod
sejak 12 Mar 2026
episodic
EPISOD TERKINI 🔗
AI agents handle the work. Employees walk the dog. Sounds like progress, but without a workforce ready to absorb AI, every enterprise dollar invested is lost.
Volker Schrank, Founder of Employee Xperience Labs, walks Russ through his “HR for AI” framework, why leading from the top is the adopti ...
EPISOD SEBELUMNYA 🔗
SurveyMonkey put AI on top of its curated data and got 14% accuracy. Nine months of context engineering later, that number hit 98%. Meenal Iyer, SVP, Data & Enterprise AI, walks Ameya through the semantic layer strategy that closed the gap.
Meenal talks through her GET framework, Growth, Ef ...
AI is not clearing work off the calendar at VF Corporation. It reveals more of it. Capacity gained gets redirected straight into the backlog leaders never had time to touch. Workloads did not get lighter. Ambition got bigger.
Andrew Weaver, Senior Director of Workforce Intelligence and AI Trans ...
Adoption without accountability is just expensive experimentation. Smriti Kirubanandan, Managing Director of Enterprise AI Transformation at Innovaccer, reframes the question every enterprise leader spending on AI should be asking.
Smriti tells Russ how her team cut a 32% claims denial rate to ...
Getting tens of thousands of employees to adopt AI comes down to trust, skills built for each role, and change that moves top down and bottom up at the same time.
Matthew Smart, Director, AI Strategy & Business Transformation at Cardinal Health, joins Russ to break down agent hype, why toke ...
Fanatics runs 1,000 websites on a single platform, scaling to peak orders per minute when a team wins a championship. Sashanka Vishnuvajhala, SVP of Engineering, tells Ameya how AI reshaped the way his teams organize, ship, and review code at Fanatics.
Three-person triads now tackle complex cus ...
Pinching pennies on AI tokens is how AI transformation fails. Michael Laudon, Chief Product and Technology Officer at Quest Software, argues the real question is whether that spend produces measurable output, and no single metric answers it.
Michael joins Russ to unpack how Quest runs its AI tra ...
Coinbase drove its token usage up while cutting inference costs by more than half. Kyle Cesmat, who runs Coinbase's Agent Experience team, explains the architecture behind it, from an internal LLM gateway that routes their inference to cache hit rates held above 85 percent.
He walks Ameya throug ...
Most AI deployments stall because leaders treat the tool as the whole investment. Priyanka Vergadia, argues technology is only 20 percent of the equation, and the returns show up once you fund people, training, and change management.
Priyanka, Senior Director of AI Transformation at Microsoft, b ...
Iain Hassall sorts AI spend into three buckets, and the trickiest is AI embedded in your own product, where cost basis and margins get murky. His warning to finance leaders is to lock in pricing and packaging before shipping AI features, or risk buying a dollar of inference and selling it for 80 ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Larridin, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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