The volume, velocity, and veracity of data determines the accuracy of insights that data can deliver to decision-makers. In the era of AI and generative AI, the relevance of data has intensified, since inaccurate and incomplete data can mislead AI-enabled autonomous systems, which can have a devastating impact on businesses and society at large.
While AI is the top new technology priority for 60% of respondents to IDC's latest survey of organizations in the Middle East, Türkiye, and Africa (META), the research further reveals that 36% of organizations in the region are concerned about accuracy, bias, and hallucinations. IDC's research reveals that data lineage is a major challenge for organizations across the META region. Around 70% have moderate or limited visibility of data lineage, which further impacts their digital initiatives and delays achievement of their strategic business objectives.
IDC believes that data trust is a must for building a resilient, agile, and ever-learning organization. Therefore, organizations need to make a concerted effort to build practical strategies for the entire data life cycle. The volume, velocity, and veracity of accurate data is critical not only for AI model training or for inferencing, but also for any other activity — such as a business use-case development using AI.
Join this exclusive roundtable to listen, brainstorm, and learn from some of the region's most prominent CIOs as well as senior experts from Iron Mountain and IDC. This is a great opportunity to understand how organizations can improve the accuracy of insights through data integrity, bring in a “trust first” approach, and maximize value from their data.
