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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

For example, as manufacturers, we create a knowledge base, but no one can find anything without spending hours searching and browsing through the contents. IBM developed an AI-powered Knowledge Discovery system that use generative AI to unlock new insights and accelerate data-driven decisions with contextualized industrial data.

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How to Use MITRE ATT&CK to Understand Attacker Behavior

eSecurity Planet

MITRE ATT&CK (“miter attack”) is an up-to-date and widely-used knowledge base that focuses on how attackers think and operate. It’s based on practical use cases, so companies can better evaluate security issues and get examples of common tactics and techniques used by threat actors. Detection and analytics.

Analytics 112
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AI transforms the IT support experience

IBM Big Data Hub

This cloud-based service is designed to help IT teams proactively improve uptime and address security vulnerabilities with analytics-driven insights, inventory management and preventive maintenance recommendations. These include: Agent Assist is an AI cloud service, based on IBM watson x , and used by IBM support agents.

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10 Tips on how to improve data quality

Collibra

The importance of high-quality data is documented throughout the top verticals and is especially significant with the recent pandemic. Trusted reporting and analytics. DataOps methodology is focused on process-oriented automation along with best practices, to improve the quality and agility of data analytics.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

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10 Tips on how to improve data quality

Collibra

The importance of high-quality data is documented throughout the top verticals and is especially significant with the recent pandemic. Trusted reporting and analytics. DataOps methodology is focused on process-oriented automation along with best practices, to improve the quality and agility of data analytics.

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Sharing best practices in our new Data to Diamonds book

CGI

Having worked on many complex data and analytics projects over the years, we have compiled numerous best practices, and developed our Data2Diamonds methodology for the design and implementation of big data analytics solutions. A few years ago, we documented many of our insights and frameworks in a comprehensive book.