In this episode of The Digital Analyst, John sits down with Ravi Ramachandran and Dave Brewster, co-founders of @EidolonAI, about their open-source agent architecture platform. They discuss the urgent need for frameworks to manage the coming proliferation of AI agents, the technical challenges of building agent architectures, and the importance of trust and governance in enterprise AI implementations. Tune in for insight on how AI agents will fundamentally transform business operations and why organizations need to start preparing for this shift now.
Learn more about Eidolon:
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Ravi Ramachandran [ Ссылка ]
CEO & Co-Founder - Eidolon AI
Ravi's career highlights include the commercialization of the world's first AI-enabled data security platform at Okera (acquired by Databricks) and establishing the Machine Learning Data Catalog category at Waterline Data (acq by Hitachi Vantara). His leadership led AppLabs to become the largest independent software testing company culminating in its acquisition by CSC and guided VanceInfo to a successful IPO (NYSE: VIT).
Specializing in AI, Data & Analytics Ravi is known for building and executing scalable GTM models, recruiting top talent, and fostering high-performance, collaborative cultures.
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Dave Brewster [ Ссылка ]
Co-Founder - Eidolon AI
Dave is a seasoned technology leader with extensive experience across various roles in the software and data industry. Currently serving as Co-Founder at August Data since March 2023, Brewster previously held significant positions at DataRobot, focusing on insurance technology as Field CTO and leading product strategy as CTO of the Platform. At Paxata, Brewster co-founded the company and played a pivotal role in developing the first self-service Adaptive Data Preparation platform, overseeing product strategy, management, and marketing.
Brewster's career also includes key engineering and architectural roles at Sumo Logic, Guidewire Software, Cascadeworks, Sun Microsystems, and NetDynamics. Brewster holds a Bachelor of Science degree in Engineering from The Ohio State University.
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John Santaferraro
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00:00 Introduction to AI agent architectures
03:57 Why build an agent platform
11:19 Core challenges in AI agent development
22:30 Components of agent architecture
32:55 Building for enterprise adoption
36:14 Advice for AI leaders
42:51 Closing thoughts and contact information
