The technology for event stream processing is evolving rapidly. This interactive session will discuss attendee questions on stream analytics applications and tools, including open source and commercial products. Questions such as what are the best practices for getting started, how are stream analytics being used today and when should you process data in motion versus data at rest will also be addressed.

Organizations are using more of their data in real time to improve situational awareness and make better business decisions. Streaming and other real-time analytics are not rocket science — every data and analytics team can add them to its repertoire to improve their organization’s business results. When is real-time the "right time?" How do stream analytics differ from conventional BI and ML?

Many decisions cannot wait until tomorrow, especially in customer interaction, logistics, production and supply chain management. Business responsiveness is critical in times of ever more digitization, global business ecosystems and more disruptions. But how to go about the implementation of real-time use cases? How do they come together in decision intelligence, and what are best practices to apply this effectively?

Decision thinking improves the way BI, analytics and AI are used in business decision-making. BI and data science teams can become more relevant and valuable to the business by focusing on decision design and the business context before implementing analytics and BI solutions. This interactive session will discuss attendee questions on trends, industry standards and best practices.