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Home Data Science

Survey: 60% of Enterprise Leaders Not sure of Knowledge-AI Readiness

Admin by Admin
April 23, 2025
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SAN JOSE, April 23, 2025 – A worldwide audit inspecting the state of information readiness to embrace GenAI worth creation finds massive firms worldwide should not assured within the high quality and usefulness of their information belongings for AI-driven enterprise enchancment.

Entitled “The Pathway to GenAI Aggressive Benefit,” the report features a survey of over 170 company decision-makers and drills into enterprise mannequin variances and regional geographic contrasts throughout North America, Europe, and Asia-Pacific. It was ready by the Enterprise Efficiency Innovation (BPI) Community and the Development Officer Council, in partnership with clever info administration firm EncompaaS.

The research discovered that 79% of enterprise leaders imagine GenAI will ship a aggressive benefit, comparable to agentic AI bettering the shopper expertise, over the following 18 months. Nevertheless, not all organizations are ready to capitalize on this potential.

The report revealed that 60% of enterprise leaders lack confidence of their data-AI readiness to realize GenAI enterprise worth. In distinction, 81% of enterprise leaders who do really feel prepared – which means they’ve well-governed, high-quality information to gas AI – anticipate AI brokers to enhance buyer expertise, in comparison with simply 21% of those that are unprepared.

The report additionally analyzed responses by area, firm dimension and B2B vs B2C focus, uncovering vital variations in GenAI readiness. North America leads in GenAI maturity and worth extraction, whereas APAC lags far behind. Massive firms specific larger confidence of their data-AI readiness however primarily use structured information. B2B firms are extra advanced than B2C in high-impact GenAI use instances. Notably, 90% of leaders at firms with over $5 billion in income are happy with GenAI outcomes, in comparison with simply 16% at firms between $500 million and $1 billion.

“As organizations plot a path towards GenAI aggressive benefit, they’ll have to make an trustworthy evaluation of their data-AI readiness and the place they stand amongst their friends,” mentioned Tom Kaneshige, Chief Content material Officer on the BPI Community. “The outcomes of the research present GenAI’s rising enterprise worth within the coming months, however the lack of data-AI readiness can result in failed GenAI initiatives and deterioration of belief within the know-how.”

The report highlights industry-wide optimism about AI alongside gaps in information. The important thing findings embrace:

  • 79% of enterprise leaders imagine GenAI will ship a aggressive benefit over the following 18 months.
    • 60% of enterprise leaders lack confidence of their data-AI readiness to comprehend enterprise worth from GenAI.
    • The highest challenges to unlocking GenAI worth: 69% level to information accuracy and reliability, 68% cite AI integration and implementation, and 58% are involved about AI ethics, governance, and belief.
  • 38% of enterprise leaders in North America expressed dissatisfaction with the worth they’re getting from present GenAI initiatives, in comparison with 45% in Europe, and 84% in APAC.
  • Solely 13% of survey respondents had been “extraordinarily” assured of their GenAI readiness.

The research evaluated organizational efficiency in 4 vital GenAI capabilities: information high quality, accuracy and reliability, safety and privateness, price and ROI. By interviews and survey findings, the research explores the initiatives organizations are planning that make the most of GenAI, comparable to AI use case prioritization and funding in instruments and know-how.

“The present actuality is that GenAI initiatives are failing as a result of they aren’t grounded in a basis of well-prepared, high-quality information,” mentioned Jesse Todd, CEO at EncompaaS. “The findings of this research are putting and reveal the vital significance of information preparation to advance AI initiatives. In addition they spotlight that the hole between ambition and execution is the place true aggressive benefit is solid.”

“The Pathway to GenAI Aggressive Benefit” offers organizations with steerage on strategic initiatives, key challenges, and achievable outcomes based mostly on their data-AI maturity.

Methodology: The findings of the report are based mostly on a world survey of over 170 enterprise and useful leaders throughout industries and geographies. Moreover, the BPI Community and Development Officer Council carried out in-depth interviews with executives from StarCIO, AVOA, Pegasystems, and NSW Division of Planning, Business and Surroundings.



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