For a long time, unstructured and structured approaches to analytics were separate platforms and applications. Hence, making sense of both words and numbers was difficult. A new crop of platforms including data fabrics, semantic AI, insight engines and conversational AI are changing the very foundations of analytics to bring words and numbers together. This session will outline how this multistructured analytics is evolving, the role of language platforms and your path to a richer analytics.

Simulation and synthetic data are emerging as capabilities that promise to transform how AI solutions are built and managed. Although simulation, synthetic data and AI are different technology paradigms, they are related and complement each other. For example, simulation can evaluate the performance and sensitivity of AI algorithms to improve resilience and enhance their decision-making capabilities. And, AI-enriched simulation can identify the most promising simulations to run on a massive data set. This is a must-attend session to learn how the worlds of simulation, synthetic data and AI are combining.

Natural language processing (NLP) technologies have the potential to provide significant benefits to customer service (CS), but sometimes end users struggle to identify the best use cases and to stay up-to-date with a field that evolves at an advanced speed. In this session, we will illustrate and discuss NLP solutions that CS can leverage to reduce costs and generate value.