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How can businesses handle data sprawl?
Poor data observability opens the door to security vulnerabilities
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Data storage is dead, long live data management
Analysis Pure Storage's flagship announcement at its annual conference was the Enterprise Data Cloud, but what makes it a "paradigm shifting" new approach to data storage and management?
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Data integration for open table formats
Sponsored by Informatica
Sponsored Podcast Open table formats can unlock huge benefits for IT leaders looking to get value out of their data
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SAS Innovate 2025 live: All the updates as they happened
Live blog Catch up on SAS Innovate 2025 with ITPro's live coverage
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SAS leans on synthetic data and digital twins to support business data demand
News SAS has announced new synthetic data capabilities and support for digital twins in a bid to equip enterprises with concrete platforms for data-driven decision making.
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Case Study: HealthVerity Cures Critical Alerts with Clear Diagnosis
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Business leaders are having a crisis of confidence over data literacy
News A Salesforce survey reveals business leaders don't trust their data, or their ability to make the most of it
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Enterprise automation gains are being hampered by surging ‘data divides’
News IT decision-makers are ramping up automation efforts in a bid to tackle internal ‘data divides’, new research shows, but they’re facing significant hurdles.
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Google just released a new AI agent for data scientists on Colab, and it’s free to use
News Google Labs has made Data Science Agent available to all Colab users in a bid to help developers speed up application design.
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Three-quarters of data analysts are still reliant on spreadsheets and manual preparation
News Data analysts are still largely reliant on spreadsheets and manual preparation techniques, but AI and automation are shaking things up.
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Why data matters in the real world
Sponsored by NetApp
Why data security, location and analysis can be life changing
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AI projects are faltering as CDOs grapple with poor data quality
News Chief data officers say they can't maintain consistent data quality, and that it's affecting AI outcomes
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