Suri Nuthalapati Key Takeaways Reliable data is the cornerstone of successful AI-driven decision-making and innovation. Data governance, modern architectures and automation ensure data quality and reliability for AI. AI-powered insights depend on breaking silos, mitigating bias and prioritizing data ethics. As AI transforms various industries, its effectiveness hinges on a single, vital factor: reliable data. Without a solid data foundation, even the most sophisticated AI systems can struggle to deliver results. Data is the lifeblood of AI. Machine learning models, predictive analytics and other AI-driven tools rely on accurate, timely and relevant data to function effectively. Poor-quality data can lead…

Renowned visionary English physician William Harvey wrote in 1651 about how our blood contains all the secrets of life. "And so I conclude that blood lives and is nourished of itself and in no way depends on any other part of the body as being prior to it or more excellent," he wrote. "So that from this we may perceive the causes not only of life in general … but also of longer or shorter life, of sleeping and waking, of skill, of strength and so forth." Kevin Watt, team leader of the Heart Regeneration and Disease Laboratory at the…