Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of businesses are investing in AI this year to boost performance and efficiency.
Although AI’s effectiveness relies heavily on quality data, 98% of organizations report that poor data quality undermines their AI initiatives. The result? Inaccurate AI models, biased outcomes, and operational challenges. Put simply, AI’s inherent speed, agility, and precision can become liabilities if it’s fed flawed data.
At the same time, AI and data governance are two symbiotic forces: Robust data governance fuels successful AI, and AI-powered automation enhances governance through improved data accuracy, strengthened compliance, and efficient data management.
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