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

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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GUEST ESSAY: The story behind how DataTribe is helping to seed ‘Cybersecurity Valley’ in Maryland

The Last Watchdog

Within these government labs and agencies, taking place is a groundswell of innovation in deep technology cyber disciplines to the tune of billions of dollars annually over the past three decades. The state counts approximately 109,000 cyber engineers. Two notable examples are Sourcefire, acquired by Cisco for $2.7B

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How to build a successful AI strategy

IBM Big Data Hub

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. And since technology evolves so rapidly, the strategy should allow the organization to adapt to new technologies and shifts in the industry.

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How we used generative AI to run a generative AI hackathon

Collibra

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. She said some of the first results were more relevant for a manufacturing hackathon than a software hackathon.

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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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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Peter Drucker (1999) compared the Industrial and Information Revolutions and their impacts on societies, industries, and jobs. So, the concept of DT is not new and was predicted as the foundation for the Fourth Industrial Revolution. [1] Figure 1: Illustration of Bush’s Memex. Information and Content Explosion.

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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 AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.