Data Digest
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Introducing the Alation Data Products Marketplace: Trusted, High-Impact Data at Speed
Modern organizations face a persistent challenge: balancing rapid insights with the need for trust, security, and compliance. Business leaders need fast access to data, but centralized data teams often become bottlenecks, delaying decision-making. Conversely, decentralized teams promote agility but can introduce inconsistencies in quality and governance. This tension, known as the "Speed vs. Trust Conflict," prevents organizations from fully harnessing their data.
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Announcing Alation Data Quality: Restoring Trust in Your Data
Today, quality data can often spell the difference between business success and failure. In fact, Gartner projects that poor data quality costs the average business about $12.9 million each year. Small wonder, as poor data quality leads to flawed AI models, operational errors, and costly decisions – creating distrust between data producers and consumers. This lack of trust can severely hinder an organization's ability to make informed decisions and achieve desired outcomes.
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Why AI Can’t Thrive Without Governance: A Strategic 4-Step Framework
The rapid rise of AI in the workplace is undeniable. In a recent McKinsey survey, 78% of respondents say their organizations are regularly using generative AI in at least one business function, up from 72% last year. AI offers immense value across a wide range of use cases, from automating repetitive tasks to generating creative content and powering data-driven decision-making.
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6 Key Steps to Using Large Language Models with Your Internal Data
The rapid evolution of artificial intelligence — and particularly large language models (LLMs) — has unlocked unprecedented opportunities for businesses to leverage their internal data in new ways.
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How Marks & Spencer Aligns Data Initiatives to Business Outcomes
As enterprises increasingly rely on data and AI for competitive advantage, aligning data initiatives to strategic business outcomes becomes critical. Marks & Spencer, the renowned British retailer celebrating its 140th anniversary, is leading by example. Phil Dale, Head of Data Governance, recently shared valuable insights on how Marks & Spencer ensures data-driven decision-making is central to their business strategy.
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The Future of Cloud Optimization: Insights from Sync Computing’s CEO, Jeff Chou
As AI adoption accelerates, so do the challenges of managing the vast computational resources needed to power it. Cloud inefficiencies, soaring compute costs, and a growing reliance on GPUs make optimization a critical need for enterprises.
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Smart Data Duplication: Best Practices for Performance and Governance
Data duplication is a divisive topic—some see it as essential for flexibility and performance, while others view it as a source of confusion and inefficiency. The reality is that duplication itself is neither inherently good nor bad; its impact depends on the reasons behind it and how it is managed.
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Gartner Summit 2025: Alation Empowers Agentic AI with Metadata Mastery
Alation was thrilled to participate in the Gartner Data & Analytics Summit 2025, held in sunny Orlando, Florida. As the creator of the modern data catalog, we have continually evolved the platform to meet the changing needs of data teams — first by integrating data governance, and now by leading the market in the reinvention of the data catalog as an agentic data platform.
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Reimagining Data Management: Tom Davenport on AI, Innovation, and Business Transformation
Tom Davenport is a distinguished thought leader in data, analytics, and artificial intelligence, shaping modern business thinking through more than 20 influential books and numerous articles.
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How to Conduct a Data Protection Impact Assessment: 2025 Guide
Data protection and privacy have become increasingly critical as digital transformation accelerates and regulatory landscapes evolve. A Data Protection Impact Assessment (DPIA) is an essential tool for organizations to manage privacy risks associated with processing personal data.
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Introducing the Alation AI Agent SDK: Easily Build Smarter Agents
The pressure to deliver AI-driven innovation has never been higher, whether you are using off-the-shelf solutions or creating custom tools to meet specific business needs. While many AI teams are in the experimentation stage, piloting new AI projects, leading companies are already capturing substantial returns on investment. According to a recent Deloitte survey, 74% of respondents reported advanced Generative AI initiatives are meeting or exceeding ROI expectations, and 78% of respondents expect to increase their AI spending next year.
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