In today’s rapidly evolving business landscape, the adoption of artificial intelligence (AI) is accelerating at an unprecedented pace. According to Gartner, by 2025, AI will be a top investment priority for more than 30% of CIOs. A McKinsey survey revealed that more than 50% of companies have integrated AI into at least one business function, highlighting the significant impact of AI on business operations. This surge in AI adoption is especially pronounced in the field of business intelligence (BI) and data analytics, where AI is transforming how organizations process and interpret data. The importance of AI in data analytics is evident. AI enables businesses to automate complex processes, predict trends with remarkable accuracy, and uncover hidden patterns in vast datasets. A recent report by McKinsey highlighted that companies leveraging AI in their analytics processes are significantly 
outperforming their peers, with AI high performers attributing over 20% of their earnings before interest and taxes (EBIT) to AI capabilities.

 

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