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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.

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Top GRC Tools & Software for 2021

eSecurity Planet

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. LogicManager is lauded for its user experience and technical training and was named a Challenger in Gartner’s 2020 Magic Quadrant for IT risk management. LogicManager.

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Top 10 Governance, Risk and Compliance (GRC) Vendors

eSecurity Planet

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. LogicManager is lauded for its user experience and technical training and was named a Challenger in Gartner’s 2020 Magic Quadrant for IT risk management. LogicManager.

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How to choose the best AI platform

IBM Big Data Hub

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 .” Of this, PwC estimates that “USD 6.6 trillion is likely to come from increased productivity, and USD 9.1 trillion in value.

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Foundational models at the edge

IBM Big Data Hub

Foundational models (FMs), which are trained on a broad set of unlabeled data at scale, are driving state-of-the-art artificial intelligence (AI) applications. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training. What are large language models?

Cloud 89
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Network Protection: How to Secure a Network

eSecurity Planet

Application Access: A retail website can make more requests than human users on any resource. Employee Training: Users remain one of the most prevalent sources of security breaches because everyone makes mistakes, and most employees cannot be security experts. API calls on related applications (shopping carts, databases, etc.)

Security 105