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Netography Brings Data Science, Detection to Monitoring Tool

Data Breach Today

CEO Martin Roesch Says Netography Can Detect Anomalous Behavior Without Human Help Netography has added more detection features and data science capabilities to help large enterprises better understand what's on their networks, according to CEO Martin Roesch.

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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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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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MLOps and the evolution of data science

IBM Big Data Hub

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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Data science: Breaking down the silos

IBM Big Data Hub

Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs. Here’s a typical breakdown:

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MicroServices: Today’s data science gold rush

Thales Cloud Protection & Licensing

And the ecosystem that’s going to drive all this will need to address old challenges, such as security, identity, and logging, with new tools. To make all this happen, there’s a lot of education, tooling, technology, and transformation that’s happening, which is why there was so much excitement in the air at KubeCon. It’s exciting.