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/

In this episode we cover the fast growth on Global Telecom Networks and the impact AI is driving this expansion.

Comcast AI & Teleco AI: https://www.fierce-network.com/broadband/comcast-says-it-can-do-ai-better-its-fiber-competitors?utm_medium=email&utm_source=nl&utm_campaign=FN-NL-FierceNetworkBroadband&oly_enc_id=5667B8099934F3J

Carrier AI to prevent Fiber Cuts: https://www.fierce-network.com/broadband/verizon-digs-how-prevent-fiber-cuts-happening

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, hosts Gary and Scott explore how artificial intelligence will transform the global workforce over the next 3, 5, 10 years, and beyond, offering actionable insights for business leaders. In the next three years, AI is poised to displace 5 million routine U.S. jobs while creating 7 million tech-driven roles, reshaping industries like manufacturing and retail through automation and augmentation. By 2030, deeper integration could see 300,000 logistics positions vanish and 50,000 legal roles decline, yet high-skill jobs may grow 35%, highlighting a polarized labor market. Looking to 2035, productivity gains might cut traditional work hours by 40%—60 million U.S. jobs’ worth—redefining work itself, with emerging roles in AI governance (up 200%) and human-centric fields enduring.

For students entering college in 2025, the hosts advise embracing interdisciplinary skills—pairing technical expertise with human insights—targeting fields like healthcare innovation, where salaries could rise 50% by 2030. Adaptability, global awareness, and practical portfolios are key to thriving in this AI-driven era. Technologically, multi-modal AI and advanced hardware will drive these shifts, enabling real-time optimization and generative design by 2035.

Leaders are urged to assess AI’s current impact, pilot high-return initiatives, and invest in reskilling, aligning technology with long-term value creation—such as sustainability efforts yielding 15% premiums. This episode blends strategic foresight, technical depth, and practical guidance, equipping listeners to navigate the AI revolution with confidence.

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 of The Macro AI Podcast, hosts Gary and Scott dive into The Prompt Studio Edge: Winning with AI in 2025, exploring how prompt studios are revolutionizing enterprise AI. These powerful platforms help businesses create, manage, and optimize AI prompts—turning chaotic experimentation into structured, scalable success. For leaders seeking to compete globally, prompt studios offer a game-changing edge.

Gary and Scott break it down: Prompt studios like PromptLayer provide visual registries, A/B testing, and usage analytics, letting teams—from marketing to IT—craft precise AI interactions without coding. Real-world wins shine through—think Telstra slashing customer follow-ups by 20% or Coles speeding app rollouts 6x faster. Prompt studios amplify these gains, refining prompts to boost ROI in customer support, content creation, and beyond.

Technically, they’re built with Python and JavaScript, integrating seamlessly via APIs into your AI stack—pulling data from CRMs or ERPs and pushing optimized outputs. Security? Covered. With SOC 2 compliance, on-premise hosting, and real-time risk flagging, tools like PromptLayer keep sensitive data safe, meeting GDPR and HIPAA standards for regulated industries.

The hosts spotlight market leaders—PromptLayer ($50/month Pro), Helicone (free to 100,000 requests), and Langsmith—plus free starters like Prompthub. Their advice? Start small—automate a report, measure results, then scale with confidence.

Balancing business strategy and technical depth, Gary and Scott show how prompt studios deliver secure, measurable value—your ticket to leading in the AI era. Tune in for actionable insights to transform your business in 2025!

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, your AI Guides Gary Sloper and Scott Bryan discuss the resurgence of Data Center Colocation powering AI environments. This change is driven by the financials of sustained, high-volume AI OPEX, where the predictable, long-term costs of owned infrastructure become more attractive, especially to the C-Suite.

Additionally, for those static AI requirements, intellectual propriety developments, security and tighter governance, enterprises have opted to add or expand their hybrid cloud model with colocation.

However, this hybrid approach doesn't represent a complete cancel of cloud GPUaaS, as many organizations maintain a strategic mix, using colocation for baseline workloads while leveraging cloud elasticity for peak demands and specialized tasks.

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/

The Macro AI Podcast: Roboforming Revolution – AI and the Future of Metal Shaping
Hosts: Gary and Scott | Date: March 21, 2025

Join Gary and Scott as they explore roboforming, an AI-powered revolution transforming metal shaping in manufacturing. This episode dives into how robotic arms, guided by AI and data, create complex metal parts without traditional dies—delivering precision, flexibility, and efficiency. From automotive prototyping to aerospace repairs, roboforming cuts costs, speeds innovation, and reduces waste, making it a game-changer for business leaders worldwide.

Discover real-world use cases: the U.S. Air Force shaping fuselage parts, luxury carmakers crafting unique panels, and construction firms building smart bridges. The hosts unpack the tech—AI feedback loops, 7-axis robots, and predictive analytics—showing how it scales from startups to global factories. Looking ahead, roboforming’s future shines bright: wider adoption by 2030, autonomous smart factories by 2035, and even lunar manufacturing by 2040.

For leaders, it’s about agility, data-driven leverage, and talent elevation. With players like https://machinalabs.ai/ (backed by Lockheed Martin and NVIDIA) leading the charge, and giants like KUKA and ABB in the mix, roboforming is redefining competition. Plus, blockchain could track parts transparently, boosting ESG narratives. Tune in for practical insights, technical depth, and a bold vision of manufacturing’s AI-driven future.

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/