In this episode, William Ulrich and Charles Bowman outline the "cognitive vision", something that appears to be lacking as organizations struggle to articulate a strategic direction on AI, even as they spend millions of dollars annually pursuing its benefits. The episode charts a path forward that defines the role of cognitive computing in streamlining strategy execution while concurrently making progress towards the cognitive operating environment. The discussion provides examples of cognitive operating model focal points, common practices to avoid, and a streamlined path towards deploying a digital twin.

In this week's episode, William Ulrich and Charles Bowman welcome Seth Earley, author of "The AI-Powered Enterprise", for which he received the Axiom Silver Medal for AI and Business. Seth's work covers artificial intelligence, cognitive computing, knowledge engineering, data management systems, taxonomy, ontology, and metadata governance. The discussion examines the role of AI in corporate strategy, the importance of architecture, formal design paradigms, and high-quality data, the concept of synthetic stakeholders, and ways in which organizations can maximize their AI investments.

This episode features an interview with Joe Cerasani, a senior solution architect and development lead. Our discussion breaks down a topic that most business professionals and even IT professionals see as a black box. Topics include the ideal team setup, the role of business, data, and related architecture perspectives in software service design and development, and best practices that support the viability and scalability of the deployed solutions. A key topic involves the importance of event-driven, state-based solutions and the value of the state machine as a key component of these solutions. The discussion also covers how in-house solutions can serve as a superior approach when compared to vendor constrained approaches.