People and Python in AI
In yet another installment of “everyone is doing it, but no one knows how,” a recent NewVantage Partners survey found that while 93.9% of executives surveyed expect to increase their data investments in 2023, just 23.9% of organizations characterize themselves as data-driven. Where is all that investment going, if not to change the way their companies operate? What’s stopping these executives from imposing this vision of a glorious data future on their companies?
People. The problem is always people. Of these same executives, 79% cite cultural issues as the biggest impediment to embracing a data-driven future. It turns out to be easy to say “data-driven” but much harder to implement because people ultimately animate a business, not data. The key, then, is to ensure that data enables and augments people rather than replaces them.