The key purpose of any effective AI story or data story/ narrative is to reduce your cognitive processing workload while presenting a high-impact message in the most palatable and easily consumable form.
But, given that AI and data analytics are heavily driven by data processing, the outputs often tend to become overwhelmingly cluttered and therefore generate a high volume of human cognitive processing load or efforts. Even if not for the ML engineers/ data scientists/ model builders, a story full of complex diagrams & crowded charts & multi-thread narratives, definitely distracts the business actors/ decision makers from their key focus areas.
There are several indicative measures of clutter in an AI/ data story e.g.
Even if these metrics are more directly relevant for data storytelling/ visualization design with graphics and data-plots and charts etc., the semantics apply equally well to narrative-based stories be it on AI or data. Any effective AI/ data story will have a strong narrative in focus, supported by a few visualization elements- simpler the better.
How to declutter and improve the signal-to-noise ratio of your AI/ data stories
In the stories of successful E-KYC or E-KYX (X= customer/ supplier/ employee)- the most commonly deployed AI solution bundles, often the story-telling and subsequent discussions quickly degrade from the key business process challenge in focus, to the component/ task-level technical challenges.
For example: The solution architects focus on excessive coverage of common tech/ dev issues such as:
These are all valid tech challenges no doubt. But, what would the business leaders and process owners do with these information clutter? And, most importantly, what was the key business problem that the AI-powered E-KYC solution is supposed to solve?
An AI-powered E-KYC solution is supposed to exponentially improve the core KYC process TAT, costs and QoS. For example, a robustly designed and well-executed E-KYC solution can
These are the Top 3 Signals- the key messages to convey, in the AI story on KYC. The underlying tech-stacks selection, effective applications and implementation challenges and details are just noises/ irrelevant plotlines in the story.
Applying any or all of the 3 techniques mentioned above, in combination, we can declutter our AI stories and tell the most impactful ones, using the Power of 3!