![]() It means valuing collaboration and continuous learning over individual knowledge and experience, with employees seeking out new data, skills, workflows, and technologies for driving ongoing performance improvements. Having this mindset means deeply internalizing the long-term competitive benefits of augmenting human decision making, processing data from many sources at a massive scale and enormous speed, and continuously adapting business models and operational strategies based on signals from the data. ![]() At these companies, AI is etched in the collective mindset (“We are AI enabled”), rather than simply applied opportunistically (“Here’s a use case where AI can add value”). But successful organizations don’t just behave differently our experience in thousands of client engagements around analytics and AI over the past five years shows that they also think differently about AI. More and more organizations are adopting these basic practices, and those that do tend to report the highest bottom-line impact from AI. These include aligning AI with core areas of the business embracing important cultural and organizational shifts and investing in new kinds of technology, training, and processes for building AI. ![]() Executives have seen that the move from running artificial intelligence (AI) experiments and proofs of concept to capturing lasting value at scale requires an investment in strong foundations.
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