Semantic layers can be used to publish AI/ML-generated insights (predictions and forecasts) to business users using the same analytics tools they use to analyze historical data.

By building this semantic data layer, Intuit is able to augment the capabilities of its vector-based systems with a deeper, more contextual understanding of data.

While at Statsbot, a data analytics startup the pair co-founded in 2016, Keydunov and Tiunov often consulted with organizations struggling to get their “data house,” so to speak, in order.

Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency.

Semantic Kernel distinguishes between semantic functions, templated prompts, and native functions, i.e. the native computer code that processes data for use in the LLM’s semantic functions.