As organizations navigate growing data complexity and the demand for heightened productivity, GenAI can assist with transforming enterprise data engagement through advanced embedded analytics.
We will explore the evolution of the data analytics landscape from a traditional model—requiring extensive knowledge of data sets and technical access methods—to a modern, intuitive approach where users simply ask questions and receive detailed answers. This advancement not only makes data exploration more efficient but also makes analytics accessible to all users, regardless of their technical background.

Key Takeaways:
The role of Gen-AI in reducing complexity: Simplifying the management of large data volumes and the analytics process through NLP.

Data monetization: Discover methods to harness your data for revenue generation, leveraging advanced GenAI capabilities.

Driving business productivity: Showcasing how Gen-AI enhances decision-making and operational efficiency.

Trust and composability in AI: Key factors for enterprises integrating AI into their systems.