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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. noun, verb, adjective, etc.),

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How to Implement Microsegmentation

eSecurity Planet

Success in implementing microsegmentation for your organization means tagging traffic, servicing regular business communications, adapting to threats , and denying all other anomalies. . All traffic is known, tagged, or verified, preventing any potential vulnerabilities related to trust. . Tag Your Workloads.

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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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For Digital Transformation, You Need Content AI

AIIM

What's transformative is the rise of machine learning at scale. Analytics, Machine Learning, and Neural Methods. Machine learning (ML) is about data-discovered models. Machine learning and neural (deep learning) methods in particular can identify previously-unseeable patterns in transactional data and tracking data.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

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4 ways AI and Blockchain Transform Information Governance

Everteam

Machine learning, deep learning, and natural language processing technologies can search disparate data from multiple repositories and analyzes it to enhance metadata, classify content, and manage document lifecycles. Information Governance increasingly spans multiple players – either service providers, partner organizations, customers, etc.