Organizations now employ artificial intelligence (AI) in data-rich aspects of their operations. AI applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions. This allows companies to design and deploy market-making and market-leading data and analytics strategies that are sustainable and scale with business ambitions. As this transformative technology has gone from speculative to operational, enterprises need to better understand and assess its markets and organizational pitfalls to drive data and analytics success.
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