Machine Capabilities in Knowledge and Data Management

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In this chapter, the speakers explore the use of machine learning, data science, and neural networks in aggregating and analyzing large amounts of information. They discuss the importance of connecting siloed data, understanding contextual information, and leveraging explainable AI to enhance results. The chapter also emphasizes the need for informed decision-making and highlights the symbiotic relationship between AI and knowledge management.

In this special episode of Knowledge Cast, CEO Zach Wahl is joined by his colleagues Joe Hilger and Lulit Tesfaye to discuss the intersection of knowledge management and artificial intelligence (AI). They explore what AI means in the context of knowledge management and how it can be leveraged to solve various problems in the field.

Tune in to gain a deeper understanding of the role of AI in knowledge management and its potential impact on organizations.

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