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May 1, 2024

Unlocking AI Potential: Overcoming Poor Data Management in Enterprises

Enterprises worldwide acknowledge the pivotal role of data management in driving successful AI implementation, yet a recent study commissioned by Hewlett Packard Enterprises (HPE) reveals persistent challenges due to low levels of data maturity.

The study highlights that a mere 7 per cent of organizations possess the capability for real-time data manipulation to fuel AI innovation and external data monetization. Additionally, only 26 per cent have established robust data governance models necessary for running advanced analytics effectively.

Even more concerning is the revelation that less than 60 per cent of respondents believe their organizations are fully equipped to handle critical stages of data preparation for AI models. These stages include accessing, storing, processing, and recovering data, which are crucial for the accuracy and efficiency of AI applications.

According to the report released on Wednesday, this discrepancy not only hampers the pace of AI model creation but also elevates the risk of delivering inaccurate insights, resulting in a negative return on investment (ROI).

Furthermore, the study finds a significant gap in understanding the compute and networking requirements throughout the AI life cycle. Less than half of IT leaders admit to comprehending the demands of various AI workloads across training, tuning, and inferencing.

Titled ‘Architect an AI Advantage’, the report surveyed over 2,000 IT leaders across 14 countries. It emphasizes that despite the escalating investments in AI globally, organizations are overlooking critical areas that influence the success of AI initiatives. These areas include low data maturity levels, potential deficiencies in networking and compute provisioning, and essential considerations regarding ethics and compliance.

One alarming revelation is the lack of integration between legal and compliance functions in AI-related activities. The report indicates that 22 per cent of IT leaders do not involve legal teams in AI strategy discussions at all.

Sylvia Hooks, Vice President of HPE Aruba Networking, commented on the findings, stating, “These findings clearly demonstrate the appetite for AI, but they also highlight very real blind spots that could see progress stagnate if a more holistic approach is not followed.”

She emphasized the importance of alignment on strategy and department involvement, stressing that misalignment can hinder organizations from leveraging critical expertise, making effective decisions, and ensuring that the AI roadmap benefits all areas of the business congruently.

In conclusion, addressing the challenges of poor data management is imperative for enterprises seeking to unlock the full potential of AI. By enhancing data maturity, establishing robust governance frameworks, and ensuring alignment across departments, organizations can overcome obstacles and drive successful AI outcomes.

Jhumpa Lahiri

Jhumpa Lahiri

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