معلومات عن هذا البودكاست 🔗
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.
تردد التحديث:
every 11 days
متوسط طول الصوت:
32 minutes
مقابلات الضيوف
الإنجليزية
الولايات المتحدة
20 حلقة
منذ 12 مارس، 2026
episodic
أحدث حلقة 🔗
Block's banking engineering team is 400% more productive per person than a year ago. They got there by applying a five-level AI adoption ladder at the workflow level, inside a heavily regulated vertical where compliance checks sit at every layer. Adoption spread organically through role modeling an…
البحث في الحلقات الماضية
البحث في الحلقات السابقة من AI Impact.
الحلقات السابقة 🔗
When most of your code is written by AI, the job shifts from writing to reviewing, and reviewing is where the work piles up. Rahul Sanghavi, Director of Engineering at Twilio, describes one engineer who generated 60 to 70 PRs in a few days, more than anyone could review.
Recorded with Denis Scott …
The engineering leaders who stay relevant over the next 24 months will refuse to become “leaders of leaders”. Abhishek Agrawal, Senior Director of Engineering at Oracle, still writes code and kills weak prototypes himself, even while running three layers of leadership.
Recorded at ELC Annual 2026,…
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 adoption …
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, Effec…
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 Transfor…
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 11%…
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 token p…
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 custom…
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 transf…
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