Remove Mining Remove Security Remove Unstructured data
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MY TAKE: The no. 1 reason ransomware attacks persist: companies overlook ‘unstructured data’

The Last Watchdog

All too many companies lack a full appreciation of how vital it has become to proactively manage and keep secureunstructured data.”. One reason for the enduring waves of ransomware is that unstructured data is easy for hackers to locate and simple for them to encrypt. A few takeaways: Outside a database.

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OpenText Named a Leader in The Forrester Wave™: Document Mining and Analytics Platforms, Q2 2024

OpenText Information Management

OpenText™ is thrilled to announce that our IDOL™ platform has been named a leader in Forrester's recent vendor evaluation for document mining and analytics providers. Discover the Power of OpenText IDOL OpenText IDOL offers advanced AI-driven document mining and analytics to manage and extract insights from diverse data sources.

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Elevate investigative analytics and derive deeper insights

OpenText Information Management

Enterprises need to use this data efficiently while ensuring data integrity, traceability, auditability, and security, especially when it is required to quickly collect and analyze large volumes of human-originated structured and unstructured data. Powerful analytics and visualization across all data.

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The Future of Information Governance: Trends Shaping 2025 and Beyond 

Gimmal

As we approach 2025, organizations face new challenges and opportunities in managing, securing, and extracting value from their data. The Proliferation of Unstructured Data Trend Overview Unstructured data—such as emails, images, videos, and social media content—is growing exponentially.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing. Watson® Discovery in CP4D can help ingest unstructured data (such as inspection reports, progress reports and OEM documentation) and prescribe appropriate SOPs to improve overall asset handling.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It’s also necessary to understand data cleaning and processing techniques.