THE 5 D'S OF AI STORYTELLING

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The 5 critical Dimensions of effective AI storytelling are.

1. Data stories: How good are your data stories, in terms of impact articulation, communication and coverage of multiple aspects such as data governance-ethics-bias-regulations, ? How well have they supported strategic decisions and actions of the company?
2. Differentiation: Does the story capture the key Strengths/ USPs/ differentiators of your strategic AI narrative?- be it in technology or capability or usage, or across all fronts, in an integrated manner e.g. for verticalized AI stories
3. Durability: Longevity of the differentiating factors of your AI capability narrative- how long can it last? How long will it provide you unique market position and competitive advantage? How long will your most aggressive competitors most likely take, to mimick/ partially imitate/ modify and create their own versions of your uniquely differentiated AI story?
4. Deliberation: How well can your target audience relate and resonate with your AI stories? e.g. if your unique AI stories talk about customer-inspired AI being your targeted AI forte, then how well have the targeted customers been able to relate to the story persona's/ roles (Heroes, competition, market levers, regulators) and their journey maps and problem contexts (plots)?
5. Definition of value: How do your strategic AI narratives reflect the key impact metrics on organizational outcomes?- e.g. Impact of your key AI initiatives on topline and bottom-line, growth indicators, cash management efficacy, new markets and revenue streams, increased customer-bases and market share, increased profitability etc.