We have made an interesting usecase if using AI to predict, suggest and generate AI applications and practice research. Here is a set of suggestions/ recommendations generated by GPT3 and then curated by us, for actionability and specificity, on the Platform Storytelling practices.
Digital business platforms are still quite nascent in several end-user organizations as well as in their service provider partner ecosystems. Only a handful of global companies e.g. in the BFSI and Retail space have got a reasonably good hang of what platformized businesses look like, in their industries. So, first of all, the stories themselves are few and far between. Secondly, even with the great stories emerging and evolving out of these platformization first-mover companies in their industries, their service provider partners are still taking point solutions and piecemeal tech implementation project approach, rather than comprehending and articulating the end-to-end Big Story of the digital platform avatar of their clients businesses. Only a few highly business-driven TSPs and SIs are showcasing their clients platformization journeys in a 360 view.
This is where the platform story-telling best practices come in, augmented with creative inputs from GPT3:
1. Build and Tell the Big Story: The Big Story in Digital Platforms is not about all the great new technology stuff like AI-ML, digital metaverse with twins and AR-VR-XR etc. that go into building, delivering and running the business platforms. It is about how these technologies can be used to create competitive advantage and drive business success. The Big Story must be about the strategic and competitive impact of the platformized digital business, rather than just the operational cost savings or efficiency gains that technology usecases in AI and smart automation can deliver.
2. Build 360 Enterprise Platforms: When organizations have a clear and compelling Big Story for their platformized business, they are able to make better decisions about where to invest their resources and how to prioritize their initiatives. They are also more likely to build support for digital platform projects in a 360 degree manner, across the entire organization. This holistic approach helps the enterprise attract, cross-skill and upskill talent with the knowledge needed to make those projects a success.
3. Communicate the Big Story throughout the ecosystem: A clear and compelling Big Story for digital business platforms will also help organizations to communicate their vision for digital technologies, to key stakeholders, both inside and outside the organization. This is important not only for winning support for digital initiatives, but also for building trust in the real value of digital technology stacks.
4. Build a 360 GRC and security practice covering the entire enterprise platform: In a world where concerns about data privacy and the misuse of digital technologies like AI are widespread, it is essential that organizations are able to show how they are using these technologies responsibly and in line with ethical values in a regionally and vertically compliant, risk-aware manner. The Big Story of platforms should be able to illustrate the organizational GRC and information security policies and implementations and adherence both lucidly and consistently, across all the relevant platform assets/ components, usecases, and in case studies and personalized UX examples.
5. Incorporate the softer differentiators like enterprise culture and innovation, into platform design and lifecycle: The Big Story should be developed by taking into account the specific context of the organization, including its history, culture, values and goals. It should also be based on a deep understanding of the business opportunities and challenges that the digital technologies can address. Only then will it be possible to create a narrative that is both inspiring and proven.
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