Why secure, reliable data is key to building better AI

GenAI technology is set to revolutionize businesses by delegating decision-making authority to AI in unprecedented ways. Key strategies for AI preparedness include data accuracy, governance, and knowledge graphs. Data curation plays a critical role in AI success, with the gap between proof-of-concept and production-ready systems being significant. Businesses must prioritize data quality and build a solid foundation to support AI's growing role in decision-making. Knowledge graphs represent a major opportunity for businesses to make the most of AI by enabling machines to understand and organize complex information. In 2025, predictions include AI workloads resembling business intelligence, knowledge bases becoming mainstream, and purpose-specific AI models outperforming general ones. Data will be key in ensuring better, faster insights that can take organizations to the next level.