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Artwork for The AI in Business Podcast

The AI in Business Podcast

Daniel Faggella
Artificial Intelligence
Generative AI
AI Adoption
Agentic AI
Customer Experience
Data Governance
Financial Services
Clinical Trials
Compliance
Operational Efficiency
Consumer Packaged Goods
Regulatory Compliance
AI Governance
Healthcare
Automation
Digital Transformation
Risk Management
Manufacturing
Fraud Detection
AI Integration

The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about ... more

PublishesDailyEpisodes1127Founded13 years ago
Number of ListenersCategories
ManagementTechnologyBusiness

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Artwork for The AI in Business Podcast

Latest Episodes

Agentic AI is running into a hard limit: most enterprise systems, security layers, and operational backends aren't yet built to support automated execution at scale. Alex Tyrrel, SVP and CTO of Health at Wolters Kluwer, joins Emerj's Matthe DeMello t... more

A widening gap between retiring experts, manual craftsmanship, and limited process visibility is making it increasingly difficult for manufacturers to maintain consistency, prevent errors early, and onboard new operators effectively. In this episode,... more

Volatility is exposing the limits of traditional scenario planning, where siloed KPIs and thin operational margins prevent enterprises from seeing how disruptions cascade across forecasting, procurement, and operations. In this episode, Dr. Gopalendu... more

Voice-based fraud has moved from a fringe security concern to a primary operational risk for financial institutions and enterprise contact centers, and the authentication methods most organizations rely on are no longer adequate. In this episode, Ken... more

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Recent Guests

Sebastian Dykas
Director of Manufacturing, Engineering and Maintenance at Smith+Nephew
Smith+Nephew
Episode: Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew
Dr. Gopalendu Pal
Director of Operations at Target
Target
Episode: Designing Supply Chains for Volatility - with Dr. Gopalendu Pal of Target
Ken Morino
Director of Marketing and Behavioral Research at Modulate
Modulate
Episode: Operationalizing Real-Time Voice Intelligence for FinServ and CX - with Ken Morino of Modulate
Amar Akshat
SVP and Chief Architect at Paysafe
Paysafe
Episode: Building Trustworthy AI for Enterprise Workflows - with Amar Akshat of PaySafe
Juan Orlandini
CTO of North America at Insight
Insight
Episode: Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight
Aziz Nazha
Global Head of AI Innovations Institute at Incyte Pharmaceuticals
Incyte Pharmaceuticals
Episode: Breaking Bottlenecks in Life Sciences R&D with AI Innovation - with Aziz Nazha of Incyte Pharmaceuticals
Shezan Kazi
Head of AI Transformation and AI Products at Dialpad
Dialpad
Episode: Scaling Customer Experience with Operationalized Agentic AI - with Shezan Kazi of Dialpad
Joseph Nelson
CEO and Co-founder of Roboflow
Roboflow
Episode: Turning Computer Vision Into Real‑World Value at Enterprise Scale – with Joseph Nelson of Roboflow
Aaron Demory
Senior Partner at Fearlus and Chief of Information Technology and Security at the FDIC
Fearlus; FDIC
Episode: Making Workforce Training Affordable with Tiered Storage - with Aaron Demory of Fearlus

Host

Matthew DeMello
Editorial Director at Emerj AI Research, Matthew facilitates discussions focused on AI's impact on business strategy and practical applications.

Reviews

4.5 out of 5 stars from 408 ratings
  • Great topics and guests

    But Daniel talks too much. His questions are too long because they’re preferanced with his own lengthy answer before asking the actual questions.

    Apple Podcasts
    4
    Rich&Tanya
    United Statesa year ago
  • A must-listen for business leaders

    An excellent podcast for anyone looking to bridge the gap between AI innovation and practical business strategy

    Apple Podcasts
    5
    SM405
    United Statesa year ago
  • AI In Business really uncomplicate AI in different industries

    Edmund Zagorin take on the challenge of purchasing process having AI implimentation in the automotive industry.

    Apple Podcasts
    5
    Eddie J. Soto
    United States3 years ago
  • Such great, listenable conversations about innovations in tech!

    Podchaser
    5
    Allyson Dale
    4 years ago
  • One of the only AI podcasts worth listening too

    As an AI consultant, I find Daniel’s podcasts amazing. He always has interesting guests who have practical experience to share. Daniel asks insightful questions and often uncovers new ways of thinking about AI that I had not thought about before.

    Thank you Daniel for creating this show. It’s honestly one of the very few worth investing time in.

    Apple Podcasts
    5
    mc75random
    United States4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The podcast provides insight into practical AI applications which are helpful for business leaders.
Some feedback suggests that the host occasionally speaks too much, diverting focus from guest insights.
Overall, it is viewed as a valuable resource for understanding AI's impact on business without technical jargon.
Listeners appreciate the variety of expert guests who share real-world experiences and strategies for AI integration.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#116
United States/Technology
Apple Podcasts
#118
United Kingdom/Technology
Apple Podcasts
#224
Canada/Technology
Apple Podcasts
#44
Italy/Technology
Apple Podcasts
#55
Australia/Technology
Apple Podcasts
#112
France/Technology

Talking Points

Recent interactions between the hosts and their guests.

Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew
Q: What role does data play in preventing defects and optimizing processes?
Data from gauges, machine sensors, and inspection systems should be collected and trended over time so engineers can detect anomalies, adjust processes, and prevent scrap. Real-time visibility combined with predictive analytics enables proactive maintenance and tighter control limits.
Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew
Q: How can organizations begin to modernize training without disrupting operations?
Begin with establishing a baseline of best practices, use digital training platforms and simulations to augment human mentors, and implement training matrices to route workers based on their skill level. Gradually add AI-assisted tools to support real-time decision-making while maintaining hands-on supervision.
Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew
Q: What are the biggest friction points around training and knowledge capture in manufacturing?
The main frictions are paper-based systems, lack of standardized onboarding, and the gap between tacit knowledge and what is codified for training. Capturing both best practices and real-time process data is crucial to close the loop between training and actual performance on the floor.
Breaking Bottlenecks in Life Sciences R&D with AI Innovation - with Aziz Nazha of Incyte Pharmaceuticals
Q: What challenges are you seeing as defining the current state of R&D and AI adoption in life sciences for turning that awesome capability into business value?
Aziz explains that the major hurdles are cultural readiness, talent with dual domain expertise (biology/medicine and AI), and the infrastructure needed to support AI at scale, along with setting realistic expectations for AI-driven outcomes. He emphasizes that progress comes from upskilling, aligning workflows to AI, and focusing on achievable productivity gains that translate to ROI over time.
Scaling Customer Experience with Operationalized Agentic AI - with Shezan Kazi of Dialpad
Q: What analytics are organizations looking at to keep agentic automation safe and scalable?
Key metrics include CSAT (especially AI-assisted CSAT), hit rate of following instructions, average handle time, and the reliability of outcomes; these help balance ROI with customer satisfaction.

Audience Metrics

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Frequently Asked Questions About The AI in Business Podcast

What is The AI in Business Podcast about and what kind of topics does it cover?

Focused on providing insights for non-technical business leaders, the content emphasizes practical AI adoption strategies, aligning capabilities with business objectives, and delivering measurable ROI. Through interviews with AI executives from Fortune 2000 companies and innovative startups, themes range from overcoming skepticism in AI implementation to understanding the intersection of AI and business strategy. Unique in its approach, the dialogue balances technical insights with actionable advice applicable across various industries, helping organizations navigate the complexities of AI.

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Which podcasts are similar to The AI in Business Podcast?

These podcasts share a similar audience with The AI in Business Podcast:

1. Practical AI
2. NVIDIA AI Podcast
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. This Day in AI Podcast
5. The McKinsey Podcast

How many episodes of The AI in Business Podcast are there?

The AI in Business Podcast launched 13 years ago and published 1127 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The AI in Business Podcast?

Recent guests on The AI in Business Podcast include:

1. Sebastian Dykas
2. Dr. Gopalendu Pal
3. Ken Morino
4. Amar Akshat
5. Juan Orlandini
6. Aziz Nazha
7. Shezan Kazi
8. Joseph Nelson

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