AI success isn’t about algorithms—it’s about the data behind them. This month, we explore why strong data infrastructure and human support are critical, how most companies stall at the “integration plateau,” and why spreadsheets can no longer keep pace with modern analytics needs. We also dive into how AI and data fuel each other in next-gen architectures, and why reviewing AI data center policies is a must for security leaders. From smarter strategies to stronger safeguards, these insights...

From the precision of prescriptive analytics to the evolving capabilities of generative AI, organizations are racing to harness these advancements to create comprehensive data strategies. There are also tools such as customer data platforms that ensure valuable customer insights are unified and actionable. But it’s also important that the data strategy can be scaled effectively. And with the quantum future looming, leaders should be ready for the opportunities and challenges ...

From data interoperability and role-based masking in multi-cloud environments, to managing the complexity of AI systems and robust data governance powering self-service BI, organizations are reimagining how data is used at scale. We also highlight the transformative impact of real-time analytics in delivering immediate insights that fuel agility and competitive advantage.