Will AI Destroy Data Value Chains?
The value chains that turn raw data into valuable data products are under threat. Some are eerily familiar (two-year replatformings in their third year) while others are alien (ambitious business users sharing your corporate data with ChatGPT to “get answers sooner”). How should data leaders meet these challenges and maintain relevance in 2023 and beyond?
The answer is to fully embrace AI for the transformative technology it can be, with a clear head about the risks. This is only possible by educating your organization AND being the vanguard who insists on accelerating adoption. The good news is that unlike prior hype cycles (self-service BI, big data, AI pre-2023) any organization can truly benefit without Silicon Valley resources and talent.
With the race on between you, and disrupters of all shapes and sizes within and without, how can what you already have today deliver a competitive edge? Large enterprises have ample reserves of what those disrupters often do not: valuable data, hard-earned expertise, and a wider purpose. And these assets can generate scale your competition cannot.