For enterprise knowledge groups, GenAI expectations are sky-high, and a brand new survey of information and analytics executives by Wakefield Analysis on behalf of information copilot firm Prophecy finds that administration usually leads the cost.
1 / 4 of executives (25 %) say their leaders will greenlight any venture “with AI as a core element,” whereas the most important group (44 %) are a bit extra cautious, seeing the necessity for AI funding whereas placing at the very least some guardrails on the method.
Excessive expectations are fueled by outcomes. The survey discovered that amongst knowledge groups utilizing GenAI, almost half (41 %) are seeing total knowledge supply productiveness progress of 15-30 %, with 46 % reporting jumps of 31-50 %.
Given common GenAI productiveness good points of 25 %, in keeping with a research by Goldman Sachs final yr, these outcomes recommend knowledge groups stand to realize at the very least as a lot, or extra, from GenAI than different components of the enterprise.
Adoption is shifting quick. Total, 64 % of information groups are already utilizing GenAI, and each group surveyed has, at minimal, plans to make use of GenAI sooner or later. A outstanding 23 % say their GenAI efforts are already “absolutely scaled.” The commonest use case is automated knowledge curation (58 %), with conversational analytics (51percent) and knowledge exams and high quality (51 %) operating a detailed second and third.
Regardless of GenAI enthusiasm, knowledge executives see obstacles to adoption as effectively. The problem mostly cited (36 %) is the necessity for higher knowledge governance, whereas 24 % say quicker entry to knowledge is essentially the most vital hurdle. A considerable minority (36 %) say all GenAI tasks require overview at a company-wide degree, doubtlessly bottlenecking innovation and improvement at these organizations.
Hiring is one other roadblock. Most organizations (67 %) have between 100 and 1,000 knowledge sources, and 60 % present knowledge to between 100 and 1,000 downstream customers. Hiring and coaching workers to wrangle all this knowledge is a continuing problem. Greater than half of organizations (53 %) wrestle to search out and rent extremely expert knowledge engineers, whereas 50 % say it’s a problem to onboard and ramp new staff, and 53 % to scale crew capabilities to satisfy rising knowledge calls for.
“GenAI has clearly landed in knowledge groups and organizations are already getting worth. Over the subsequent few years, GenAI will rework knowledge operations prime to backside — from knowledge administration to knowledge transformation to knowledge integration, and every part in between. It’s a secular shift within the trade,” mentioned Prophecy CEO Raj Bains. “The problem is to seize the worth of GenAI whereas sustaining the best requirements of safety, governance and reliability amid a worldwide scarcity of expertise. Relatively than attempt to construct every part from scratch, essentially the most profitable organizations will speed up their deployments by making sensible use of economic knowledge options powered by GenAI and confirmed to work in Fortune 500-class environments.”
The survey was carried out by Wakefield Analysis amongst 500 US knowledge and knowledge analytics executives with a minimal seniority of Director, at firms with a minimal annual income of $1B USD, between November twenty second and December third, 2024, utilizing an electronic mail invitation and a web based survey.
For a deep dive into the findings, be a part of Prophecy’s session The Influence of GenAI on Knowledge Groups at Gartner Knowledge & Analytics Summit 2025 in Orlando, March 5, 2025. To obtain the total report, go to the Prophecy web site right here.
