This session looks at closing the loop between analytics and operations. It looks at embedding BI and machine learning models into operational business processes to guide and drive decisions and actions in everyday business operations. It looks at how to create intelligent applications, and at using AI driven automation for right-time business process optimisation and decision management.

Target Audience: Solution Architects, Business Analysts, CDOs, CDAOs, Process Specialists, Data Scientists, COOs
Prerequisites: Good understanding of BI and machine learning
Level: Advanced

Extended Abstract:
Although analytics in many organisations is well established, it is still the case that perhaps no more than 25% of employees make use of reports and dashboards from BI tools with even fewer using machine learning models or AI. There is still a long way to go if companies are to realise the promise of using ML and AI to automatically prevent problems, seize opportunities and continually optimise business processes in everyday business operations.
This session looks at how to make data-driven business work by closing the loop between analytics and operations. It looks at embedding BI and machine learning models into operational business processes to guide and drive decisions and actions in everyday business operations. It looks at how to create intelligent applications, and at using AI driven automation for right-time business process optimisation and decision management. The objective is to move towards automated, self-learning, AI-driven business operations.
•    An introduction to data-driven business optimisation
•    Technologies and tools for the data-driven intelligent enterprise
•    Architectures and methodologies for creating the smart enterprise
•    Embedding analytics and AI into operational applications and processes
•    Active dynamic planning and management for continuous optimisation