ALERT: Though there is much to be said about preparation, there seems to be little said about the preparation of data when it comes to businesses adopting AI or genAI technology. It’s simple (or simpler) to have a Customer Relationship Management front-end system provide textual responses to predicted (or progressively predictable) questions from customers on-line, or to have a smart phone system responding to verbal questions (that become textual), etc.. It is another thing to just say “We have it as a priority to adopt AI or genAI in our business in the coming year …” to streamline our business processes, reduce costs, increase revenue and market share. When AI or genAI is manifested in a company with a dozen or more systems (PLM, PIM, ERP, etc.), each system having its own high degree of unique, contributive data when streamlining predictable business operations, etc. The only way this becomes reality is IF and ONLY IF those systems have formalized an intimated (intelligently integrated) profile of Digital Fluidity (flow of data). When AI or genAI is expected to draw data from this myriad of system, such as the development time of a new Product (PLM) + the on-line linger time of customers in the on-line store of that same Product (ecom) + the sales of both on-line and in-store of that same Product (ERP or Financial SOR), then it is critical that all systems have a harmony of common data that combines with their unique data set. Digital Solution Group is focused on assisting companies in forming that harmony of data by intimating the range of systems (silos) and forming digital fluidity throughout a company’s SolutionScape (set of systems used to design, develop, and deliver products from Mind to Market). Check out our website (https://lnkd.in/ePkMhKeE) to learn more about our services and how DSG can assist your company in “getting data ready” for AI and genAI – preparing for the future.
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4moThank you Brion Carroll for the posting your high level summary and thoughts on how we can adapt #AI and #genAI concepts and how it can help drive positive outcomes in the #PLM space. I am eager to see and learn more along the lines - practical use cases and challenges that we could help solve for the industry..