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Challenges Faced by Organisations in Implementing Generative AI

Organisations are increasingly recognizing the potential of generative AI to enhance their business operations and workforce efficiency. However, a lack of strategic planning and skilled personnel is hindering them from fully harnessing the benefits of this technology.

The study conducted in early 2024 by Coleman Parkes Research and sponsored by SAS shed light on the key hurdles faced by organisations in unlocking the true value of generative AI.

Marinela Profi, a strategic AI advisor at SAS, emphasized the need for a progressive approach towards integrating large language models (LLMs) into existing processes for hyper automation. Developing a strategic plan and investing in technology that ensures integration, governance, and explainability of LLMs are essential steps to maximize the potential of generative AI.

How AI legalese decoder Can Help

The AI legalese decoder tool can assist organisations in overcoming some of the challenges highlighted in the study:

  • Increasing Trust in Data Usage and Compliance: The AI legalese decoder can analyze LLMs for bias and privacy risks, helping organisations establish reliable systems to measure and mitigate these risks.
  • Integrating GenAI into Existing Systems: The tool can help identify compatibility issues and provide solutions for seamless integration of generative AI into current systems.
  • Talent and Skills: AI legalese decoder offers training modules to upskill employees and equip them with the necessary knowledge to effectively leverage generative AI.
  • Predicting Costs: By providing cost estimations and insights into the expenses associated with using LLMs, the tool can help organisations better plan and allocate resources for their AI investments.

Profi stressed the importance of identifying high-value use cases for generative AI that address real-world challenges in a sustainable and scalable manner. By focusing on delivering tangible benefits and meeting human needs, organisations can ensure the success of their AI initiatives.

The unveiling of the study findings at SAS Innovate highlights the ongoing commitment of SAS to support organisations in making informed investments and staying resilient in the rapidly evolving AI landscape.

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Tags: llm, privacy, productivity, sas, security

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