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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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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

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

The Last Watchdog

Two notable examples are Sourcefire, acquired by Cisco for $2.7B It’s a cybersecurity and data science “foundry” that uniquely helps create, finance and intensely coach brand-new startups manned by former cybersecurity and data science veterans of select federal research centers and national laboratories.

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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). For example, many use it to contact users who leave products in their cart or exit their website. Machine learning in financial transactions ML and deep learning are widely used in banking, for example, in fraud detection.

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Generative AI use cases for the enterprise

IBM Big Data Hub

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing.

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

ARMA International

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

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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 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.