A huge number of companies still think they’re missing out on AI

Key Takeaways:

– Business leaders are concerned about missing out on the benefits of generative AI.
– Data management is seen as a higher priority due to the emergence of beneficial AI technologies.
– Poor legacy solutions are preventing many companies from adopting AI.
– Automation and AI are necessary to filter and make sense of the overwhelming amount of data.
– Salesforce has invested in generative AI tools, such as its own Einstein GPT technology.
– IT leaders are investing in data analysis tools and training to prepare for AI implementation.
– Improving data quality is a priority for IT leaders before implementing AI.
– Data governance and a strong culture are crucial for successful AI implementation.

TechRadar:

A large number of business leaders are concerned that their company is missing out on the transformational benefits that have become possible with generative AI, according to a new report by Salesforce.

The study of 600 UK technical and business leaders found that almost nine in 10 (89%) see data management as a higher priority now that they are faced with beneficial AI technologies.

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AI Eclipse TLDR:

A new report by Salesforce has revealed that many business leaders are concerned that their companies are missing out on the transformational benefits of generative AI. The study, which surveyed 600 UK technical and business leaders, found that 89% of respondents see data management as a higher priority now that they are faced with beneficial AI technologies. The report suggests that poor data management may be to blame for the growing disparity between companies that are and aren’t using AI, as many companies are unable to adopt AI due to poor legacy solutions. Despite this, there is a clear appetite for generative AI, with 81% of IT leaders investing in more data analysis tools and 75% investing in training. Salesforce, a company that has heavily invested in generative AI, including its own Einstein GPT technology, emphasizes the importance of managing data to successfully implement generative AI. The report concludes that improving data quality and investing in data governance are crucial steps for businesses preparing for an AI overhaul.