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around the current environment , with no thought leadership around modernising the estate which impacts the inability to seek investments and business cases . All of this leads to a lethargic workforce and initiatives within an organisation .
Q . HOW DOES KYNDRYL HELP WITH THIS ?
» Kyndryl has a simple three step framework to help our clients :
1 . Establish a data and AI foundation that brings in good quality of data through the hundreds and thousands of pipelines within the enterprise . It ’ s not just clean data , but also relevant data that would provide the right business outcome and impact . Experimentation around AI is encouraged through agile work packets that drive incremental value , with a focus on scale once a rhythm is established to leverage the data fabric framework . We then make certain that the organisation ’ s infrastructure assets are ready and able to support the scale .
2 . Deliver business impact by leveraging design thinking to accentuate actionable outcomes across core enterprise functions such as HR / Finance and business processes such as customer experience . We create business value drivers with clear goals and KPI ’ s that can truly capture outcomes , using a financial operation modeling for measuring costs and consumption .
3 . Scale AI through a factory model which can drive large enterprise deployment across the organisation , creating a culture of democratisation and monetisation of AI .
Q . CAN YOU IMPLEMENT AI WITHOUT A DATA STRATEGY ? DO YOU THINK ONE CAN EXIST WITHOUT THE OTHER IN BUSINESS ?
» CXOs have the vision to be an intelligent enterprise more than ever through digital transformation leveraging data . The pandemic has only fueled this for companies to be more data driven . But the biggest problem is availability of the right data that can drive contextualisation for driving business decisions .
Data is the new business natural resource . It is also an embarrassment of riches : too much data . Defining what “ data ” means to an organisation and to the consumers that it serves is not always obvious . It needs to be
24 October 2022