Companies anticipate automation of duties via agentic AI to be high use case, with one in three executives noting the chance to make use of agentic AI for strengthening knowledge administration
Dun & Bradstreet, a number one international supplier of enterprise decisioning knowledge and analytics, launched findings from an AI survey it carried out that exhibits {that a} overwhelming majority of organizations (88%) at the moment are implementing synthetic intelligence (AI), however greater than half (54%) have considerations over the trustworthiness and high quality of the information they’re leveraging for AI.
“We anticipate use circumstances for agentic AI in knowledge administration to abound this 12 months. We’re already seeing the way it can enhance effectivity in processes corresponding to knowledge cleansing, integration, and evaluation”
“AI’s effectiveness – together with explainability, transparency and relevancy – depends upon the standard of the information it’s leveraging, but our survey uncovered that solely 5 in ten organizations imagine their knowledge basis is the place it must be for correct AI implementation,” mentioned Gary Kotovets, Chief Information & Analytics Officer at Dun & Bradstreet. “For AI planning, it’s vital organizations be sure that their knowledge is sourced from a clear, single supply of reality that we name mastered knowledge. At Dun & Bradstreet, we imagine mastered knowledge and AI are paramount to constructing efficient options – our knowledge is regularly cleaned, up to date, and validated to make sure it’s as correct, well timed, and related as doable as soon as it’s within the fingers of our clients.”
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Different high considerations cited by survey respondents associated to AI implementation embrace knowledge safety (46%), knowledge privateness violations (43%), delicate or proprietary data disclosure (42%) and knowledge’s amplification of bias (26%). In keeping with these considerations, solely half (52%) of organizations imagine they’ve a superb knowledge basis that can set them up for fulfillment with generative AI.
AI Implementation & Use Circumstances Range
The survey additionally revealed that firms are at numerous phases of implementation, together with exploration and analysis (29%), deploying AI options (25%), growing AI merchandise (24%) and piloting applications/merchandise (10%). Though use is widespread, two essential roadblocks firms face as they combine AI throughout features are having trusted enterprise knowledge (33%) and navigating moral and regulatory challenges (33%).
Different challenges confronted by companies no matter the place they’re of their AI implementation journey embrace:
- Aligning on enterprise prioritization and having inner subject material experience (tied at 31%)
- Lack of explainability and interpretability of the know-how (28%)
- AI danger assessments (27%)
- Showcasing ROI (25%)
- AI transparency (25%)
Additional, firms at the moment deploying AI share that the best degree of progress has come from:
- Streamlining processes (42%)
- Co-piloting (39%)
- Supplementing present duties (38%)
- Measurement and KPIs (21%)
- Situation modeling (18%)
- Personnel bias elimination (13%)
AI Outlook for 2025
When requested in regards to the rising developments in AI that can influence companies over 2025, half of survey respondents (51%) cited clever automation, adopted carefully by conversational AI (46%), multimodality and visible AI (33%) and hyper-personalized advertising and marketing (23%). Notably, one in 4 are getting ready for impacts to their companies stemming from the institution of latest regulatory compliance and governance frameworks.
On the perfect use circumstances for agentic AI — AI brokers working autonomously with out fixed human steerage — within the 12 months forward, two-thirds (64%) of survey respondents observe that automating duties is the highest use case for his or her enterprise, adopted by augmenting human capabilities (42%), strengthening knowledge administration (36%) and analyzing market developments (32%).
“We anticipate use circumstances for agentic AI in knowledge administration to abound this 12 months. We’re already seeing the way it can enhance effectivity in processes corresponding to knowledge cleansing, integration, and evaluation,” mentioned Ginny Gomez, President, North America at Dun & Bradstreet. “Our clients have shared their considerations with us about aligning AI with particular enterprise use circumstances and increasing AI explainability and transparency, whereas nonetheless assembly danger requirements. We proceed to prioritize constructing accountable AI and offering dependable knowledge to fulfill these wants.”
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