Architecting AI: Why Knowledge Management Platforms Matter

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! 

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/