Remove access-management customer-success-stories
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12 Data Loss Prevention Best Practices (+ Real Success Stories)

eSecurity Planet

Consider these factors: Sensitive data handling: Determine whether your company handles customers’ personally identifiable information (PII), proprietary software code, product designs, or any other unique creations crucial for your company’s competitive edge. Classify data by context to make it easier to manage and track.

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When Low-Tech Hacks Cause High-Impact Breaches

Krebs on Security

Web hosting giant GoDaddy made headlines this month when it disclosed that a multi-year breach allowed intruders to steal company source code, siphon customer and employee login credentials, and foist malware on customer websites. “He was literally reading off the tickets to the notes of the admin panel inside GoDaddy.”

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Ransomware Gangs Don’t Need PR Help

Krebs on Security

We’ve seen an ugly trend recently of tech news stories and cybersecurity firms trumpeting claims of ransomware attacks on companies large and small, apparently based on little more than the say-so of the ransomware gangs themselves. Such coverage is potentially quite harmful and plays deftly into the hands of organized crime.

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Do more with trusted data: Join us at Data Citizens ’24

Collibra

With countless sessions, roundtables, and experiences, you will gain the knowledge to embark on a successful data intelligence journey and ensure you are using trusted data in all of your AI models. Hear from customers, industry leaders, and data professionals on how Collibra can help ensure trusted data across your entire enterprise.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Turning Data Initiatives into Business Value: A Guide for Data Leaders

Reltio

Many organizations have recognized this, investing heavily in data management initiatives such as master data management (MDM). The Pitfall: A Disconnected Approach to Data Management One of the central issues highlighted by presenters is that data leaders often become entangled in designing “ivory tower” solutions.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Design content, ad campaigns and innovative products that build better customer experiences. User-friendly interfaces and integration tools make them accessible even for non-technical folks. Custom-trained models: Most organizations can’t produce or support AI without a strong partnership. Garbage in, garbage out.