数据管理的新规则-在人工智能时代创造价值（英）

The New Rules of Data ManagementCreating value in the AI eraContents3 Introduction: Finding value in the data clutter4 Chapter 1: Data at the crossroads7 Chapter 2: Data management practices have fallen behind9 Chapter 3: The new rules of data management 12 Chapter 4: Leaders play by the new rules15 Chapter 5: The symbiotic relationship of data management and AI17 Conclusion: Getting your data house in order19 Methodology20 About SplunkThe New Rules of Data Management | Splunk3Finding value in the data clutterYou know the paradox: drowning in data but starving for insights. The adage was never more true than it is today.The right data fuels insights that help organizations invent better customer experiences, identify malicious threats, and improve countless other processes to strengthen digital resilience. The plain fact, though, is that cloud services, connected devices, and AI are overwhelming organizations. And instead of thoughtfully arranging their data, they are stockpiling it like a garage cluttered with gardening tools, camping gear, and childhood memorabilia. We wanted to know how organizations are cleaning out their data garages (so to speak), so we surveyed 1,475 IT, engineering, and cybersecurity professionals across the globe about their data management practices. We’ve based this report on our findings, revealing the best practices to ensure data is on hand when you need it, while creating more value. Organizations have long followed the conventional wisdom of centralizing data into one place to unify visibility and better make sense of it. Although this practice offered organizations some control and visibility, data structures became more complex. Consequently, data management became more difficult, requiring strategies that went beyond simply centralizing data into one location. In an attempt to control costs and manage the explosion of data, organizations started expanding their storage locations with a medley of hybrid environments, opening the door for new sets of challenges.We think there’s a better way. The new rules of data management can help you realize your security and observability objectives and advance your mission, while you also optimize costs and compliance. Keep reading to see what data management leaders do differently. Discover how to tamp down data complexity and maximize its value in the AI era.INTRODUCTIONThe New Rules of Data Management | Splunk4Data at the crossroadsCHAPTER 1What’s standing in the way of your data management strategy?Data security and compliance69%67%41%35%30%28%26%Data volume and growthDefining data tiersCost managementData collectionData migrationAccess and retrieval speedThe survey confirms what many organizations may have suspected for years — the exponential rise of data is giving way to increased complexity that makes it more difficult to access, analyze, and secure data, as well as comply with regulatory mandates. This is why having a sound and comprehensive data management