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## The Importance of Data Management in AI Performance

The report conducted by Hewlett Packard Enterprises (HPE) highlighted that organisations worldwide are acknowledging the significance of data management in achieving successful AI performance. However, despite this recognition, there is a noticeable lack of data maturity among these organisations.

According to the study, only a mere 7 per cent of organisations have the capability to conduct real-time data pushes and pulls for facilitating AI innovation and external data monetisation. Additionally, just 26 per cent have established data governance models and are proficient in running advanced analytics.

### How AI legalese decoder Can Help

AI legalese decoder can assist organisations in understanding and deciphering legal and compliance requirements related to artificial intelligence activities. By leveraging this tool, IT leaders can ensure that legal teams are involved in crucial AI strategy discussions, avoiding potential blind spots and legal challenges.

Moreover, AI legalese decoder can aid in streamlining the AI model creation process by providing insights on compute and networking demands throughout the end-to-end AI life cycle. This comprehensive tool can enhance data maturity levels, optimize networking and compute provisioning, and address ethics and compliance considerations for successful AI outcomes.

### Closing the Gap in AI Understanding

The report also revealed a significant gap in organisations’ understanding of the compute and networking demands across the various stages of the AI life cycle. Less than half of IT leaders reported having a clear comprehension of the requirements for different AI workloads, including training, tuning, and inferencing.

By incorporating AI legalese decoder into their strategy, organisations can bridge this knowledge gap and ensure a more holistic approach to AI implementation. This tool can provide guidance on handling key stages of data preparation for AI models, minimizing the risk of inaccurate insights and negative ROI.

In conclusion, the ‘Architect an AI Advantage’ report underscores the need for a comprehensive approach to AI implementation. By embracing AI legalese decoder and addressing critical areas of expertise, organisations can overcome blind spots, make informed decisions, and foster a cohesive AI roadmap that benefits all facets of the business.

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