Join hosts Gary and Scott as they explore a revolutionary AI solution: meeting delegates powered by Large Language Models (LLMs). Imagine an AI attending meetings for you, speaking in your voice, and advancing your goals while you focus on strategy. In this episode, we unpack how LLMs like GPT-4o, Claude 3.7, and xAI’s Grok 3 can transform workplace productivity and help businesses compete globally.

Drawing on a groundbreaking Microsoft study, we reveal how AI delegates work: gathering your meeting objectives, engaging in real-time discussions, and using text-to-speech to mimic your voice. Real-world demos show delegates joining project scrums, sharing updates, and asking questions, with models like GPT-4o hitting 60% accuracy in responses. But challenges like transcription errors—think mistaking “Saanvi” for “Savvy”—and latency highlight areas for growth.

For business leaders, AI delegates offer massive ROI: cutting meeting time, scaling your presence across time zones, and freeing teams for high-value work. Hear how Amtrak’s AI handles 20 million calls yearly and how a healthcare provider used LLMs to catch critical patient data. We also dive into technical details—transformers, self-attention, and retrieval-augmented generation—for tech enthusiasts, plus practical tips for implementation.

Leading in the AI era means piloting delegates in low-stakes settings, setting clear data boundaries, and reskilling teams. Ethical considerations, like privacy and bias, are front and center, with a phased approach to ensure trust. Whether you’re a CEO in Singapore or a tech lead in São Paulo, this episode equips you to harness AI delegates for smarter collaboration.

Tune in for actionable insights, real-world examples, and a glimpse into the future of work. Subscribe and share your thoughts

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About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

In this episode of "The Macro AI Podcast," Gary and Scott guide business leaders through building a private AI system for manufacturing, hosted in a colocation facility, from ideation to launch. Discover how AI can transform operations—think predictive maintenance to cut downtime or real-time quality control to boost product consistency. We start with ideation, spotlighting use cases like GE’s Predix (30% cost savings) and Tesla’s AI vision in Gigafactories. Next, we dive into data prep, leveraging factory sensors and images, and explore colocation’s edge for secure, scalable processing. Model selection gets deep—CNNs for defect detection, RNNs for machine health, plus options like Transformers and pre-trained models from Hugging Face or TensorFlow Hub, alongside vendors like Siemens. Training’s unpacked too: source data from IoT or simulations, use GPUs in a colo for speed, and fine-tune for precision (aiming for 95% accuracy). Testing ensures reliability, integrating with systems like MindSphere, while launching scales from pilot to enterprise, as Toyota’s 15% cost cuts show. Costs? $1,000-$3,000 monthly per colo rack, with massive ROI potential—PwC pegs AI’s manufacturing value at $4 trillion by 2030. For leaders, it’s practical advice: start focused, tap teams, and partner smart. Tune in to lead in the AI era and compete globally!

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Join Gary and Scott on The Macro AI Podcast as they explore Anthropic’s Model Context Protocol (MCP)—a game-changing open standard revolutionizing AI integration. In this episode, " How Model Context Protocol Powers AI Integration," we dive into how MCP connects AI systems to data and tools effortlessly, offering a competitive edge for businesses worldwide. Perfect for leaders seeking transformation and technologists craving practical solutions, we unpack MCP’s value with a real-world example: GlobeMart, a fictional global retail chain, uses MCP to optimize inventory. Facing a blizzard in Canada, GlobeMart’s AI links via MCP to its inventory database, weather APIs, and sales archives—triggering coat reorders for Toronto while redistributing excess stock from Spain, all in real-time. No custom coding, just one protocol delivering agility and cost savings. Gary and Scott break it down: MCP slashes integration chaos, letting AI tap live data from Slack, GitHub, or your CRM. For leaders, it’s about starting small—pilot MCP with a key system, proving the value, and scale globally. It’s open-source, backed by Microsoft and OpenAI (who added MCP support in March 2025), and poised to unify AI ecosystems. Technically, MCP’s client-server setup—think Claude Desktop or an IDE (a developer’s coding hub)—uses JSON-RPC to fetch data and act, like an agentic AI driving decisions. With version 0.2 updates (OAuth, streaming), it’s ready for enterprise action. From cost efficiency to global responsiveness, MCP is your strategic lever. Tune in for actionable insights and see why this could be AI’s TCP/IP moment.

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/