Recent findings from a Gartner survey of 479 global chief data and analytics officers highlight a significant shift in data and analytics (D&A) operations due to the impact of AI technologies. The survey reveals that 61% of organizations are currently recalibrating their D&A frameworks to maximize the capabilities of AI, marking a shift in their operational strategies.
As organizations adapt to integrating AI into their business models, they are compelled to edit their existing framework to enhance data governance, ethics, and literacy. The evolution is vital for companies while they upgrade their decision-making processes. By doing so, they position themselves to leverage AI effectively.
Why it matters: Integrating AI into D&A reflects a fundamental shift in how companies operate and compete in the market. Data governance and analytics are crucial for maximizing the benefits of AI, ensuring accurate outputs, and minimizing the risks of data biases. With AI’s role becoming increasingly central to business strategies, the imperative for technology leaders to lead this change is more pronounced than ever.
- Redefining Data: 61% of organizations surveyed by Gartner are reassessing their data and analytics (D&A) operating models to better incorporate AI. This reevaluation is driven by the need to adapt to the potential of AI.
- Operational Model: According to Gartner, 38% of surveyed CDAOs plan to significantly revamp their D&A architecture in the next 12 to 18 months. This includes adopting new technologies and methodologies that enhance their ability to analyze and leverage data in an AI-driven environment.
- Strategic Importance of AI: AI’s role in redefining business models is becoming increasingly prominent. Companies are leveraging AI for automation and operational efficiency, as well as creating new pathways to value.
Go Deeper -> AI Forcing Many Companies To Rethink Their Data-Crunching Ways – TechNewsWorld
