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/

In this episode, Gary and Scott speak with Evan Siegel from eGain to discuss the Knowlege Management Platform (KMP) industry.

Evan Siegel is eGain’s VP of business development and financial services, where he is developing the next generation of AI powered conversational guidance. Prior to eGain, Evan held various customer experience strategy and contact center leadership roles over 16 years at Wells Fargo, where he also established a financial health coaching team that was featured in the bank’s annual report, brand advertising campaign, and ABC’s Good Morning America. Evan is an active writer and speaker, with recent pieces published The Financial Brand, BAI Banking strategies and an appearance on Bain & Company’s Net Promoter Score Podcast.

eGain is a company that provides AI-powered knowledge management software for customer engagement. eGain Corporation builds and sells AI knowledge SaaS (Software as a Service) products specifically designed for service and support functions. The company is headquartered in Sunnyvale, California. Wikipedia

Their main product is a platform that unifies knowledge silos within enterprises and transforms content by orchestrating GenAI and experts. This helps businesses provide correct, consistent, and compliant answers to customers, agents, and employees. eGain

eGain's platform is designed to automate customer engagement with innovative SaaS capabilities powered by AI and knowledge management. Their solutions include virtual assistance, self-service options, and modern agent desktop tools that aim to improve customer experience while reducing agent effort.

Evan Siegel’s Contact information: https://www.linkedin.com/in/evan-siegel-ab436845/

Link to eGain’s new self-provisioned AI Agent: https://www.egain.com/ai-agent/

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/