artificial intelligence-driven organisation means fully digitising business processes. It starts with using AI to augment or automate tasks. But to get to that point, it’s essential first to establish a culture where data is trusted. That means business-wide data literacy, and appropriate data collection, sorting and storage solutions – because, if teams can see the value they can derive from data, and that the data is sound, it makes trusting that data to AI all that much easier.
It often makes sense to start with a clear task that’s very data dependent and for which the necessary data exists Some potential use cases include developing more intelligent products or services, automating repetitive tasks, or manufacturing processes, improving data security and risk estimation, predictive analysis to identify trends, or creating personalised customer experiences via marketing efforts or support services.
Examples of the efficiency strategy include factory work, where robots take over activities on a factory assembly line entirely. An effectiveness strategy includes things like AI systems that can generate risk assessments of financial services based on the historical data the business has about them, leaving analysts to interpret those reports but freeing them up from their time-consuming creation.