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Agile ibm souschef5/17/2023 ![]() When implementing AI, good preparation offers similar benefits. Whether it’s in a professional kitchen or at home, the concept of mise en place, preparing your ingredients and ensuring everything is in place before you begin, is key to success. For teams new to the technology, they can help deliver some quick wins to build momentum, and also help stakeholders agree on the services and developer kits that are most aligned to business needs.Īs the effort evolves, the teams will want to make substitutions, create their own recipes and become more experimental and innovative. Experiment.ĭesign patterns and reference architectures are the recipes for AI. For the more adventurous chef, explore substitutions and new combinations. For the tentative cook-simply follow and execute as instructed. The finest French pastries and delicious Thai curries owe much deliciousness to many years of testing and tuning. ![]() Recipes are the embodiment of the hard-won experience of prior cooks-sometimes going back decades or centuries. Co-creation of cakes, or code, results in knowledge transfer and team building. With AI, this collaboration is key, just as a sous chef learns from and supports the executive chef. Here, approaches like pair programming, where two developers work together to design, code and test, facilitate the transfer of knowledge and expertise. My company’s own IBM Cloud Garages are spaces designed to stimulate learning and sharing. Innovation spaces and hackathons can be great ways to cut across organizational silos. A few keyword searches can quickly locate communities and conversations of interest. Pick up the phone and call around, or jump on Slack and search for key terms. In my experience, spending time reaching out to people across the organization is a very good investment. While your own group could be completely new to AI, it’s possible other parts of your organization are experimenting with it. It could be that your company already baked “cupcakes”-an agile term for small innovation artifacts. Deploy savvy helpĪI takes advantage of the latest technology, but it’s dependent on the people who work with it and train it, and who understand its advantages and limitations.īefore venturing into AI, find out if your company has already adopted it in some capacity. Whatever it is, find a clearly stated, measurable goal. For example, trying to reduce average customer service call time by a few percentage points, reduce churn or simply to explore if there is some signal (value) hiding in your company’s data exhaust or on social media. If you are not sure where to start, existing KPIs can be a good reference point. Partners with a clearly articulated initial goals are the ones who are most often successful. If you can’t summarize clearly or explain goals to a colleague in less than two minutes, it’s a red flag. When scoping and planning, try to express your expectations in a single sentence. But too much choice can be counterproductive-and focus is your friend. Petabytes of structured and unstructured data, and new tools emerging every week to extract useful signal from it. The possibilities are almost endless.Įnterprise AI innovation also offers numerous opportunities for value creation. Think of yourself stepping into the best test kitchen on the planet, equipped with stainless steel appliances, shelves of recipe books and fully stocked pantry and refrigerator. AI isn’t a single, monolithic technology but is instead a diverse set of technology ingredients with the potential to deliver many types of benefits.
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