Companies need to put their data houses in order before moving ahead with generative AI initiatives, warn two new surveys.
Excitement is over the top about all the marvels of today’s technology — artificial intelligence, real-time analytics, virtual reality, and connected enterprises, to name a few. However, without the right data, these initiatives are dead in the water. Two new surveys warn that companies still need to put their data houses in order, and as a result, aren’t ready to move forward with initiatives such as generative AI (gen AI).
There’s an uneasy dance going on between data handling and AI development across the business landscape. The challenge is that data remains too much of a risk, rather than an asset in data-driven or AI-based initiatives.
While charging headlong into AI and other cutting-edge initiatives, « many organizations don’t understand how to value investment in technology and databases — still viewing them as purely cost centers », said Steve Mitchell, CFO at Redgate Software. « However, there are businesses that have demonstrated the growth and huge value creation opportunity that data — and the ability to move quickly in harnessing the ever-increasing volume of it — present.
