While "prediction" is one of my least favorite "AI" words it is nonetheless appropriate here as we look forward to the coming year and beyond to discuss what key Data, Analytic & AI trends we are likely to see progress over the coming year.

Enterprise Decision Management systems, or as they are now termed in the age of AI:

• Decision Automation [Us...]
• Decision Intelligence [Gartner...]
• Decision Optimization [IBM...]
• Decision Support [Various...]
• Intelligent Decisioning [SAS...]
• Digital Decisioning [Forrester...]

are making a comeback and fighting for market share against new AI platforms. As a system they are essentially using AI to make decisions, which is essentially what AI is for at its core, so a great fit.

Anyone who has taken our Masterclass course will be aware that a "digital twin" is one of the four central components of our Autonomous Enterprise model. In this post we go into a little more detail on the why, what, how & where of digital twins for your organization.

The Self Driving Enterprise continuously gathers digital data about its customers, markets & operations to create a 'Digital Twin' of its current state, using 'Decision Intelligence' to Automate finding next best actions and to automate process execution. End to end AI.

The 'Self Driving' or 'Autonomous' Enterprise is one that has automated its ability to continuously "Sense, Think & Act". Like autonomous driving, we can grade an enterprises' autonomous capability from level 0 to level 5 (see image below).

Drawing parallels with the popular "autonomous driving" theme we discuss the "autonomous enterprise", that is a business that drives itself or total automation.

One topic that has come up a few times with Banks I am advising is how they can move to the Product Mindset, like that of a tech giant. We discuss those ideas a little more here.

One topic that consistently gives teams headaches is the AI semantic hell of "Use Cases" and in particular how every business stakeholder has a different definition or expectation of what a "Use Case" actually is.

We expand on our framework for AI usage patterns of Assist, Augment and Automate and note some of the places this framework is relevant in the real world. Part 2 of a 2 part discussion.

We expand on our framework for AI usage patterns of Assist, Augment and Automate that also happens to map nicely to the autonomous driving framework of "levels of autonomy".

We discuss a little around our framework for an autonomous enterprise and how it maps nicely to a common way analytics stages are noted along a 4 step continuum, either by chance or by design.