Embedded Analytics, Intelligent Apps, AI Agents and AI Automation

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. 

However, the arrival of Generative AI has had a massive impact.  Businesses have realised the huge productivity benefits, cost reduction and efficiency opportunities that AI brings plus the ability to make timelier and better decisions. Business priorities have therefore changed to the point where Data and Analytics are now strategic and demanded in every part of the business.

The vision is to maximise the use of Conversational Analytics, classic ML and AI Agents to provide better insights, increase the level of AI Automation and deploy AI-Agents to assist and automate tasks and automate more operational decisions.  Executives want everyone in the company to leverage Data and Analytics to contribute towards improving overall business performance.

This seminar shows how you can embed BI, ML, AI-Agents and AI-Automation into applications and processes to make your company Data and AI-driven. The purpose is to achieve ‘always on’ business optimisation, dynamic planning by automating, guiding, and empowering employees, business partners, suppliers, and customers to make better decisions to improve business performance. It provides a roadmap and methodology to creating the right-time Intelligent Enterprise by taking an in-depth look at the technologies and methodologies needed to make it happen.