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Enhanced Security: Credential Management in Alation Cloud Service

As applications increasingly migrate to the cloud, security has become a critical priority. In fact, 80% of companies experienced cloud-security incidents in 2023. Cloud security encompasses several key components, including:

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The Modern AI Stack Explained: Your 2025 Guide

Key takeaways

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Modern Data Discovery Platforms: Your 2025 Guide

Key Takeaways

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How to Track AI Model Value and ROI

The hype around AI is seemingly unstoppable. On the vendor side, over half of the companies on the Forbes “Next Billion Dollar Startups” list are AI-related. On the buyer side, and fueling the hunger for AI products and services, are organizations buying into said hype. Research by Cisco finds that nearly all (98%) of organizations currently “feel urgency around AI,” with exactly half dedicating 10-30% of IT budgets to AI. And, a new forecast by IDC says global spending on AI will more than double by 2028 with a compound annual growth rate of just under 30%. Bain & Company sees even greater growth, saying the total market for AI will grow by up to 55% annually “for at least the next three years.”

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AI for Data Management in 2025: Best Practices, Tools, Use Cases.

The importance of effective data management is paramount to growth and competitiveness, especially in today's environment of hyperspeed, volatility, and uncertainty As organizations increasingly rely on data to drive business decisions and power AI-driven innovations, the sheer volume and complexity of data can present significant challenges.

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Ethics of AI in Healthcare: Navigating Privacy, Bias, and Trust in 2025

The rapid evolution of artificial intelligence (AI) in healthcare is reshaping how we diagnose, treat, and manage diseases. But with great technological power comes great responsibility. As AI technologies are increasingly integrated into clinical settings, the necessity for ethical frameworks and regulatory guidelines becomes paramount to ensure patient safety, equity, and effective healthcare outcomes. Addressing these concerns is critical to ensuring AI-driven innovations improve patient care while maintaining fairness and safety.

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What is Reinforcement Learning from Human Feedback (RLHF)?

Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human feedback to optimize AI models to learn more efficiently. Unlike traditional supervised learning, where models are trained on labeled datasets, RLHF allows models to learn through trial-and-error experience and feedback from humans.

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Building AI You Can Trust: Key Takeaways from TDWI Webinar

As organizations increasingly embrace artificial intelligence (AI) to drive innovation and efficiency, the need for trusted data has never been more critical.

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Gartner’s Inaugural Magic Quadrant for Data & Analytics Governance Platforms

Gartner’s introduction of the Magic Quadrant for Data & Analytics Governance Platforms marks the rising importance of data governance for enterprises today. At Alation, we are proud to be recognized in this emerging space for enterprises navigating the complexities of modern data ecosystems.

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