In this episode of AI Agents, Evan J. Schwartz, Chief Innovation Officer at AMCS Group, dives into how artificial intelligence is transforming the waste management and recycling industries.

From optimizing fleet routes to using vision AI to monitor bin capacity and employing predictive maintenance to reduce downtime, AMCS is redefining industrial operations through cutting-edge technology.

Evan explains how data-driven sustainability efforts can boost profit margins while minimizing environmental impact.

We also explore the broader implications of AI in resource-intensive industries, including how new technologies like agentic AI and Model Context Protocol (MCP) layers are opening more efficient pathways to connect systems, automate workflows, and drive innovation.

If you're interested in how real-world AI applications are shaping the future of sustainability and logistics, this episode offers valuable insights you won’t want to miss.

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⏰ TIMESTAMPS:

0:00 - AI-Powered Waste Optimization

1:08 - Guest Introduction With Evan Schwartz

2:31 - Role Of A Chief Innovation Officer

4:59 - AMCS Group’s Mission And AI Focus

7:02 - Real-World AI In Logistics Efficiency

10:04 - Predictive Maintenance And Data Insights

13:34 - The Rise Of Agentic AI In Industry

16:00 - How The MCP Layer Enables Agents

20:52 - Future Of Human AI Interaction

24:00 - Teaching AI To The Next Generation

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In this episode of the AI Agents Podcast, Demetri Panici sits down with Alan Ranger, VP of Marketing at Cognigy, to explore how AI is transforming customer service through AI agents.

Alan shares how Cognigy’s conversational AI platform is redefining inbound and outbound customer interactions—empowering businesses to deploy intelligent, human-like AI agents that automate routine tasks, reduce wait times, and improve the overall customer experience.

From replacing outdated IVR systems to co-piloting customer service reps through real-time interactions, Cognigy is helping some of the world's largest enterprises unlock scalable, customer-first solutions.

Alan also dives into the real-world impact of large language models on the customer service landscape, including automation of call center operations, intelligent return management in retail, and hyper-personalized engagements in direct-to-consumer marketing.

He shares insights on how companies can adopt AI agents without compromising on compliance or data security, and highlights the critical role customer experience plays in staying ahead.

If you're interested in the future of AI in customer support, sales, or marketing, this episode is packed with forward-thinking strategies and practical applications.

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⏰ TIMESTAMPS:

0:00 - How AI Agents Handle Returns

1:00 - Introducing Cognigy and Alan Ranger

2:10 - The Evolution of Customer Experience

3:25 - Revolutionizing Contact Centers with AI

5:00 - Building Scalable AI Agents

8:10 - Leveraging LLMs for Real Conversations

12:00 - Outbound AI Agents in Sales

16:20 - Improving Voice Interactions with AI

21:00 - Adoption of AI Across Enterprises

25:55 - The Future of Websites as Chat Interfaces

33:20 - AI Agents and Internal Company Use Cases

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How do data and AI teams ensure reliability in a rapidly evolving tech landscape?

In this episode, Lior Gavish, CTO and Co-founder of Monte Carlo Data, joins the show to uncover the growing need for data observability and reliability in the era of artificial intelligence.

Lior explains how Monte Carlo applies key DevOps principles to data pipelines and AI systems, helping teams identify and troubleshoot issues before they impact end users.

We dive into how AI is reshaping entire workflows, from software development to customer support, and why organizations are shifting from experimentation to production-scale AI deployments.

Lior shares insights on building in-house AI agents, making real-time troubleshooting up to 80% more efficient, and how his team is future-proofing data reliability as businesses lean into automated workflows at scale.

Whether you're a data professional, engineer, or tech leader, this episode explores practical strategies to build more reliable AI-driven systems.

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⏰ TIMESTAMPS:

0:00 - The AI Adoption Challenge

1:15 - Meet Lior Gavish From Monte Carlo

3:20 - Building Reliable Data Systems

10:00 - Launching Observability Agents

18:20 - Scaling With AI Use Cases

26:00 - AI's Impact On Business Value

31:10 - Effective Agent Integration In Companies

38:40 - The Software Job Market And AI

45:00 - Vibe Coding And Low Code Tools

47:30 - Ensuring AI Reliability In Production

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Struggling to keep up with an overflowing inbox?

In this episode of The AI Agents Podcast, hosts Demetri Panici and Aytekin Tank explore how AI-powered Gmail Agents can streamline your email workflow by drafting customized responses based on your communication style.

Learn how tools like Jotform AI Agents and Relevance AI can intelligently generate email drafts, organize messages, and even help schedule meetings—freeing up your time to focus on what matters most.

Discover real-world examples, including how small service businesses and content creators are automating email replies using AI agents trained on their previously sent emails and website content.

Whether you're handling sponsorship requests, customer support, or podcast guest scheduling, you'll learn how to build powerful automations that boost productivity while maintaining a personal touch in your email communications.

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⏰ TIMESTAMPS:

0:00 - How AI Can Process Emails

1:12 - Meet The Hosts And Episode Goal

2:28 - Saving Hours With Gmail Automation

5:25 - Intro To AI Draft Responses

6:08 - Inside Jotform Gmail Agents Demo

8:02 - Smart Labels And Email Categorization

13:00 - Complete Agent Setup Walkthrough

20:30 - Advanced Agent Features And Calendar Integration

27:20 - Real-World Email Demo Responses

35:56 - Measuring Success And User Feedback

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In this episode of the AI Agents Podcast, we dive deep into the evolving world of AI agents with Elman Mansimov, founder of Sourcely.

Elman shares how his background in generative AI research—from early text-to-image models to pioneering work in machine learning at the University of Toronto and NYU—has shaped his vision for building intelligent agents that can truly learn, adapt, and reason.

He discusses the challenges and breakthroughs involved in developing Sourcely, an AI-powered academic tool designed for deep search and source verification across diverse fields from fitness to academia.

Explore how Elman sees the future of autonomous agents transforming everything from academic research to software development, and why context length, reasoning capabilities, and user personalization are key to building smarter AI tools.

Whether you're an AI enthusiast or a product builder, this thoughtful conversation reveals what it really takes to build agents that learn and deliver value in meaningful, nuanced ways.

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⏰ TIMESTAMPS:

0:00 - AI Tools Boost Productivity

0:59 - Introducing Sourcely and Elman

2:32 - AI in Academia and Industry

4:57 - Expanding Sourcely’s Use Cases

7:01 - Early Days in AI and Machine Learning

10:59 - AI Pop Culture and Self-Driving Cars

14:27 - From AI Research to API Usability

17:45 - Building with AI as a Non-Coder

20:38 - Growing Competition in AI Products

26:32 - Impact of AI Hype and Online Gurus

31:31 - Improving Accuracy in AI Search Tools

45:01 - Leveraging Longer Context Windows

50:15 - Making Sourcely More Accessible

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Instagram ➡️ https://www.instagram.com/aiagentspodcast

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In this episode of the AI Agents Podcast, we sit down with Taymour El Kady, founder of Treeo.ai, to explore how AI-powered agents are transforming team collaboration and data management in fast-paced startup environments.

Taymour shares his journey from the startup scene in Egypt to launching his own AI-driven tool, addressing critical issues like metric inconsistency, data team bottlenecks, and security challenges that plague startups relying on siloed spreadsheets and outdated BI platforms.

We also delve into the evolving role of agentic AI, how automation is redefining operational roles, and the growing need for precision and niche-focused large language models.

From the advantages of integrating open-source and closed-source AI models to the future costs and scalability of LLMs, this episode paints a sharp picture of where AI collaboration tools are heading.

Whether you're building products or leading data teams, you’ll walk away with fresh insights into making AI work better for growing teams.

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⏰ TIMESTAMPS:

0:00 - Intro To AI Agents Podcast

1:02 - Guest Intro And Trio Overview

3:43 - Trio’s Origin And Data Challenges

8:03 - Early Stage Startups And Founding Trio

14:11 - Understanding Agentic AI And Hallucination

20:10 - Future Of Agent Tools And Internet Access

26:45 - ChatGPT vs Gemini In The AI Race

32:03 - Differentiating Trio From Larger Players

37:59 - The Risks Of AI On Future Generations

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Discover how artificial intelligence is transforming the way we build wealth in this episode of the AI Agents Podcast.

Host Demetri Panici sits down with Chris Wise of Wise Capital to explore innovative strategies for scaling businesses, cutting operational costs, and creating personal freedom through AI.

From implementing conversational AI in law firms to developing predictive maintenance technology in the real estate sector, Chris shares real-world insights on how automation can replace inefficient systems—not people—and dramatically improve company performance.

Get a behind-the-scenes look at how Chris scaled down from 50 employees to just 7 by using custom-built tech solutions, while still expanding operations and increasing value to customers and tenants.

You'll also learn how affordable smart innovations are revolutionizing the multifamily housing market, bringing new-age technology typically reserved for luxury real estate into Class C properties.

Whether you're an investor, founder, or tech enthusiast, this episode is packed with actionable knowledge you won’t want to miss.

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⏰ TIMESTAMPS:

0:00 - Solving Inefficiencies With Tech

1:06 - Guest Introduction and Wise Capital

2:04 - Building AI for Law Firms

6:10 - Developing AI Tools Internally

12:00 - Scaling From 50 to 7 Employees

17:30 - Gaining Personal Freedom From Automation

22:05 - PropTech and Class C Real Estate

28:20 - Impact of Tech on Tenants

33:50 - Debunking the AI Job Myth

39:01 - Marketing, Automation, and Business Shifts

44:03 - Future of PropTech and AI Integration

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In this episode of the AI Agents Podcast, we dive deep into the future of AI-powered workflow automation with Mark Vange, founder of Autom8ly.

Learn how his company is transforming business operations across industries by building AI-driven systems that complement human expertise rather than replace it.

From voice-enabled AI assistants in trucking and IT services to secure AI deployment frameworks for enterprises, Mark shares fascinating, real-world applications of "cooperative AI" and discusses why the future of work lies in collaboration between humans and machines.

Mark also shares insights from decades of experience in tech and AI, addressing enterprise AI adoption challenges, accuracy expectations, and how automation can unlock creativity and productivity without compromising trust, compliance, or personalization.

Whether you're an enterprise leader, AI enthusiast, or a builder of innovative AI tools, this episode offers powerful lessons on AI integration, human-AI collaboration, and what the next five years may hold for knowledge work and digital transformation.

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⏰ TIMESTAMPS:

0:00 - Future of Human Creativity

1:01 - Introducing Mark and Automately

2:10 - AI-Powered Automation by Automately

4:47 - The Role of Cooperative AI

9:29 - Challenges in AI Accuracy

12:56 - AI in Enterprise Vs Personal Use

14:22 - Real AI Use Cases in Trucking

17:25 - Voice AI for Helpdesk Automation

19:45 - AI's Impact on Workforce and Jobs

22:54 - Human-Centric AI and Creative Empowerment

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