A Qlik®, global company in data integration, data quality, analytics and artificial intelligence (AI), announces the results of a new study conducted with the Enterprise Strategy Group (ESG), exposing a critical disconnect between investment and AI execution
The ESG research report, “Data Readiness for Impactful Generative AI”, reveals that companies are aggressively moving to scale AI, but many do not have a structured plan to build the necessary databases for long-term success. While 94% are increasing spending on products and services to enable data readiness for AI, only 21% were able to fully integrate AI into their operations. Although most organizations recognize that data quality is crucial, the governance, compliance and bias detection remain the main gaps, preventing companies from fully exploiting the potential of AI
"Companies are rushing to adopt AI by investing heavily without a cohesive strategy", says Drew Clarke, Executive Vice President and General Manager of the Data Business Unit at Qlik. AI is not a temporary solution — it is a permanent transformation that requires structure, governance and transparency. Without a clear plan and solid databases, companies are increasing their risks instead of generating value.”
New research from Qlik and ESG highlights a stark misalignment between AI adoption and the precautions needed to ensure its success:
– The adoption of AI is accelerating, but many companies do not have a clear implementation strategy94% of organizations are increasing spending on products and services that enable data readiness for AI, but only 21% fully integrated it into their operations
– Companies are collecting more data, but they have difficulties making them usable for AI64% of organizations collect data from 100 to 499 sources daily, highlighting the size of the complexity of the data
– Operational efficiency is the main metric, but the total impact of AI remains uncertain57% measure the success of AI based on operational efficiency, while a smaller number accompanies its strategic impact on business
– Bias gaps, governance and compliance are generating significant risks48% of organizations try to address biases in AI through transparency in decisions related to models and data sources
– Data quality is essential, but governance remains a challengeOnly 47% strongly agree that their governance policies are applied consistently, highlighting gaps in supervision and compliance
"AI is not a technology problem" — "it's an execution problem", says Stephen Catanzano, Senior ESG Analyst. "Organizations across all sectors are rapidly moving to scale AI", but, without the necessary precautions, they run the risk of facing regulatory consequences, financial and reputational. Although they recognize the importance of data quality, most still do not have the necessary governance to ensure that AI models are safe and unbiased. This gap in execution explains why so many AI projects are stalled or fail to deliver a tangible ROI.”
Qlik and ESG Report AI Readinessidentifies the most urgent challenges in AI implementation and provides strategies to ensure long-term success. To gain deeper insights and expert recommendations, access the eBook herehttps://www.qlik.com/us/resource-library/data-readiness-for-impactful-generative-ai
