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! 

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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/

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/

Join Gary and Scott on The Macro AI Podcast for Architecting AI: Why Knowledge Management Platforms Matter. They break down Knowledge Management Platforms (KMPs)—smart hubs that turn chaotic enterprise data into organized, actionable knowledge. For leaders, KMPs cut the 20% of time workers waste searching for info (McKinsey), boosting efficiency. Zappos slashes support costs 20% with a KMP-powered chatbot, while Delta gets planes flying faster with instant maintenance logs. Scott highlights Toyota’s supply chain wins—spotting bottlenecks early, saving millions.  

The duo debates build vs. buy: third-party KMPs (Bloomfire, Confluence) win with seamless integrations (Salesforce, SAP), scalability, and security (encryption, 99.99% SLAs), outpacing in-house efforts. Gary and Scott then unpack the tech: NLP with BERT models powers semantic search, knowledge graphs (Neo4j) connect data, and ML (LSTMs) keeps it fresh—all in a stack with vector databases (Pinecone) and microservices (Kubernetes) for sub-50ms latency. Capital One’s Eno chatbot (80% automation) and Siemens’ downtime cuts (15%) show it in action.  

KMPs architect AI success—structuring data for faster training, linking silos for insights, and scaling globally, like Shopify’s merchant support. Gary and Scott wrap with a playbook: audit your data, pilot a KMP, and scale. Whether you’re a strategist or a techie, this episode builds the case for KMPs as your AI foundation. Subscribe for more! 

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/

Gary and Scott explore the dynamic legal landscape of AI and machine learning, offering business leaders worldwide a roadmap to navigate compliance and innovation. This episode spans global regulations, U.S. federal shifts, and state-level actions—packed with practical strategies and tech insights.  

Global AI Legislation: 
Gary starts with the EU’s AI Act (2024-2027), a risk-based law banning mass surveillance AI while enforcing audits for high-risk systems like hiring tools—fines up to €35M or 7% of global turnover. Scott details its tech demands: SHAP for audits, LIME for transparency. The EU’s chaotic trilogue birthed a deal balancing startups like Mistral with big-tech scrutiny. China’s 2023 rules mandate ideological AI and watermarking ($14M fines), while South Korea, Switzerland, and the UAE diversify the race. Gary urges scalable governance; Scott flags audits and APIs.  

U.S. Federal Government and AI: 
Scott notes that there is no federal AI law—FTC’s Section 5 ($2M chatbot fine) and Title VII tackle bias instead. Gary unpacks Trump’s Jan 20, 2025, EO, axing NIST’s risk frameworks to boost dominance, tied to Project Stargate’s $500B data center push (OpenAI, xAI). Defense AI surges, but Biden’s safety EO is out. Congress stalls—NO FAKES Act passes, accountability lags. Scott warns of agency curveballs; Gary pushes self-regulation with SHAP to dodge scrutiny.  

U.S. State-Level AI Developments: 
Gary highlights Colorado’s 2026 AI Act ($20K fines) for high-risk AI fairness tests. Scott dives into California’s 2025 laws—SB 1047’s deepfake ban ($10M fines) uses ResNet for detection, AB 2013 demands LLM transparency. Illinois protects teachers, New York audits lending, and Massachusetts’ H. 4123 targets 10 exaFLOP giants like Colossus for safety (misinformation risks). Gary touts TensorFlow Fairness for bias sweeps; Scott stresses modular policies and Dioptra testbeds.  

Gary and Scott close with a call to agility—embed compliance, leverage tech, and lead amid lawmaking chaos. Join the global conversation at macroaipodcast.com!  

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/

n this Macro AI Podcast episode, hosts Gary and Scott explore why clean data is key to AI success, offering practical tips for business leaders and tech details for enthusiasts. They cover real-world examples, the cleaning process, and trends like synthetic data, equipping listeners to implement effective strategies. 

Why Clean Data Matters 

Clean data underpins reliable AI. Gary and Scott share examples: a retailer mismanaging inventory due to inconsistent location data, or healthcare errors from duplicate records. Dirty data—missing or inconsistent—leads to poor AI predictions and financial losses. For tech listeners, they know how it disrupts machine learning, affecting loss functions and model convergence, making quality data essential. 

The Data Cleaning Process and Industry 

The hosts outline a five-phase cleaning process: analyzing data, defining rules, verifying, transforming, and integrating. Big data’s volume and variety complicate this, but tools like Cleanix (parallel processing) and HoloClean (probabilistic inference) help. The data cleaning industry—engineers, scientists, and firms—is critical, with 40-50% of data budgets spent here. Leaders are urged to prioritize governance for quality. 

HoloClean:  http://www.holoclean.io/

Synthetic Data and Conclusion 

Synthetic data is highlighted as a fix when real data is limited, like simulating sensor data for self-driving cars. The episode wraps up stressing clean data’s role in AI success, offering steps to achieve it—invest in tools, talent, and explore synthetic options—making it a must-listen for leveraging AI. 

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/

Ready to supercharge your business with AI that’s smarter, faster, and grounded in your data? In this episode of The Macro AI Podcast, hosts Gary and Scott unpack Retrieval-Augmented Generation (RAG)—a game-changing approach that combines real-time data retrieval with powerful AI generation. Perfect for business leaders, this episode dives into how RAG transforms industries, from manufacturing to insurance and legal, with practical examples like slashing customer service times and speeding up claims processing by 40%.  

Why does RAG outshine standalone AI models? Scott explains how it taps into your proprietary info—like a retailer’s latest HR policies—delivers up-to-date answers, and cuts through AI “hallucinations” with secure, permission-based access. Gary breaks down the tech: prepping data in vector databases, retrieving context with embeddings, and generating spot-on responses. He also shares expert tips on measuring RAG’s performance—think “faithfulness” scores and retrieval tweaks—to ensure it delivers ROI.  

But it’s not all smooth sailing. Scott highlights challenges like data quality, retrieval relevance, and security, offering solutions like role-based controls and encrypted databases. Looking ahead, RAG’s future sparkles with multimodal capabilities (audio, video, images), global language support, and personalization. Ready to start? Scott’s got your back with practical steps—start small, pilot with tools like LangChain, and scale smart.  

Tune in to discover how RAG can make your business AI-ready—accurate, current, and competitive. Subscribe and join Gary and Scott every episode as they guide you through the AI era! 

What is RAG - Marina Danilevsky, Senior Research Scientist @IBM

https://www.youtube.com/watch?v=T-D1OfcDW1M

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 third episode of The Macro AI Podcast, hosts Gary Sloper and Scott Bryan explore the strategic implementation of AI governance through Centers of Excellence (CoE), providing a roadmap for organizations of all sizes to effectively harness AI capabilities. 

What is an AI Center of Excellence? 

The hosts define an AI Center of Excellence as a centralized hub that drives all artificial intelligence initiatives within an organization. This nerve center connects technical implementation with business objectives, ensuring AI projects align with company goals whether they focus on revenue growth, efficiency improvements, or enhanced customer experiences. 

A successful CoE brings together diverse talent across the business.

Models for Different Organizations 

The podcast outlines various CoE structures to fit different organizational needs: 

• Formal CoE: Dedicated departments with full-time staff, independent budgets, and leadership - typical in Fortune 500 companies and tech giants 
• Virtual CoE: Cross-functional teams drawing expertise from existing departments without creating new structural units - ideal for mid-sized organizations 
• Hybrid CoE: Small core teams of AI specialists supported by part-time contributors from across the organization - balancing focus with flexibility 
• Lean AI Approach: Targeted implementation focusing on high-impact use cases, often leveraging external partners or cloud-based tools - suitable for smaller businesses and startups 

Building an Effective AI CoE 

The hosts provide a step-by-step approach to establishing an AI Center of Excellence: 

1. Define Vision and Objectives: Connect AI initiatives directly to measurable business outcomes and align with company mission 
2. Assemble the Right Team: Combine AI technical expertise with business acumen, scaling appropriately for organization size 
3. Build Secure Infrastructure: Establish cloud platforms, networks, and security tools to protect AI systems from threats 
4. Set Governance Guidelines: Create clear policies for AI development and usage that ensure fairness, transparency, and regulatory compliance 
5. Start Small, Prioritize Security: Test concepts with low-risk projects before scaling to enterprise-wide implementation 
6. Cultivate Collaboration: Train the broader organization on AI fundamentals and secure executive support 
7. Measure and Adapt: Track meaningful metrics and continuously evolve the approach as technology advances 

Leadership Through AI Transformation 

The episode addresses the human challenges of AI adoption: 

• Communication: 
• Leading by Example: 
• Addressing Fears: 
• Fostering Innovation: 
• Setting Realistic Expectations: 

Competitive Strategies 

The hosts emphasize the importance of positioning AI as a competitive necessity: 

• Highlighting how competitors are already leveraging AI advantages 
• Sharing concrete examples of successful AI implementations 
• Engaging teams in brainstorming sess

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/

Exploring the emergence of AI agents that can take autonomous action in the workplace 

In this second episode of The Macro AI Podcast, hosts Gary and Scott dive into the revolutionary concept of "Agentic AI" - autonomous systems that don't just assist humans but can independently take action, make decisions, and transform how businesses operate. 

What is Agentic AI? 

The hosts define Agentic AI as systems that can reason, make decisions, and act independently within predefined guidelines - contrasting with traditional AI that merely reacts to human commands. Like comparing a simple GPS (which tells you where to go) to a self-driving car (which handles the entire journey), Agentic AI doesn't just provide insights but acts on them. 

Beyond Traditional Automation 

The episode clearly distinguishes Agentic AI from conventional automation: 

• Traditional automation (like RPA) follows strict rules but falters with complexity 
• Agentic AI adapts to changing circumstances, learns over time, and handles unpredictability 

Key Technology Components 

The podcast breaks down the core technologies driving this revolution: 

• Natural Language Processing for Human Interaction 
• Machine Learning & Reinforcement Learning for improved decision-making 
• Knowledge Graphs for Context Awareness 
• API integrations with business software 
• Multi-agent collaboration where specialized AI agents work together 

Real-World Applications 

The hosts explore compelling examples across industries: 

Finance & Banking: 

• End-to-end invoice processing that can verify, route, and even communicate with vendors 
• Real-time fraud detection that prevents issues before they occur 

Healthcare: 

• Automated claims processing that verifies eligibility and medical codes instantly 
• Personalized patient support through AI health assistants 

Customer Service: 

• Support systems that categorize, diagnose, and resolve issues without human intervention 
• Proactive problem-solving instead of reactive support 

Retail & E-commerce: 

• Advanced AI shopping assistants that curate personalized selections 
• Predictive inventory management that forecasts demand and automates reordering 

Human Resources: 

• AI-powered recruitment that generates job descriptions, screens candidates, and schedules interviews 
• Automated onboarding and employee engagement monitoring 

Enterprise Platform Leaders 

The episode highlights how major platforms are implementing Agentic AI: 

Salesforce: 

• Einstein GPT and AI Agents transforming CRM into autonomous business assistants 
• Systems that monitor client interactions, suggest actions, automate proposals, and even negotiate contracts 

ServiceNow: 

• Now Assist and ServiceNow AI Agents are revolutionizing IT service management 
• Proactive issue detection and resolution before problems are even reported 
• Automated HR processes for leave requests, reviews, and benefits questions 

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/

Welcome to the inaugural episode of The Macro AI Podcast! Hosts Gary Sloper and Scott Bryan introduce their new series dedicated to exploring the rapidly evolving world of artificial intelligence and its transformative impact on businesses globally. 

Podcast Mission 

The Macro AI Podcast aims to serve as your comprehensive guide through the AI revolution, offering practical insights for business leaders, technology enthusiasts, and anyone curious about AI's growing influence. The hosts plan to cut through the hype, focusing on tangible applications and real-world implications of AI technologies. 

What to Expect 

Future episodes will navigate the complex AI landscape, exploring: 

• How AI is reshaping business operations and competition across industries 
• The balance between automation and human workforce development 
• Industry-specific applications from manufacturing to healthcare 
• The practical implementation of AI tools in everyday business contexts 
• Global perspectives on AI adoption and regulation 
• Success stories and cautionary tales from real-world AI deployments 

Content Preview 

Listeners can anticipate discussions on timely topics such as: 

• Supply chain automation and optimization 
• AI's role in transforming customer experiences 
• Predictive analytics and maintenance in manufacturing 
• Ethical considerations including bias prevention and privacy concerns 
• The explosion of generative AI tools and their business applications 
• How to navigate AI implementation challenges 

…and much more. 

The hosts will examine both technological innovations and broader implications, including government regulation, international AI competition, and the changing nature of work in an AI-augmented world. 

Coming Up Next 

The next episode will focus on "Rise of the AI Agents," exploring how autonomous AI systems are beginning to transform business processes. 

Audience Value 

Whether you're a CEO looking to integrate AI into your business strategy, a tech professional staying current with innovations, or simply curious about where AI is taking us, The Macro AI Podcast promises valuable insights delivered in an accessible, engaging format. 

Subscribe now to join Gary and Scott on this journey through the AI frontier, with new episodes released regularly to keep you informed on this rapidly evolving technological landscape. 

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/