Remove Actionable Intelligence Remove Data Science Remove Metadata
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Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints

AWS Machine Learning Blog

Nielsen Sports shapes the world’s media and content as a global leader in audience insights, data, and analytics. We perform media monitoring, where we add additional metadata to each segment, such as league scores, relevant teams, and players. This has increased productivity for our engineering and data science teams.

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Data Blending in Tableau

Pickl AI

Iterate and explore Iterate on your visualizations and explore various perspectives of the blended data. Experiment with different combinations of fields, filters, and visualizations to gain deeper insights and extract actionable intelligence. While powerful, Data Blending in Tableau has limitations.

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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

billion 28% AI-Powered Data Analytics Transformation in decision-making speed. billion 15.83% Metadata-Driven Data Fabric Systematic data management efficiency. Professionals witness upward career trajectories against India’s escalating demand for Data Science skills. Value in 2022 – $18.10

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A Comprehensive Guide to the main components of Big Data

Pickl AI

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). For instance, Netflix uses diverse data types—from user viewing habits to movie metadata—to provide personalised recommendations.

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Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series

Unite.AI

Mike Flaxman is currently the VP of Product at HEAVY.AI, having previously served as Product Manager and led the Spatial Data Science practice in Professional Services. What measures are in place to prevent metadata leakage when using HeavyIQ? This includes not only data but also several kinds of metadata.

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Exploring the Power of Data Warehouse Functionality

Pickl AI

Introduction In today’s data-driven world, businesses are constantly bombarded with information. But raw data alone isn’t enough to gain valuable insights. This is where data warehouses come in – powerful tools designed to transform raw data into actionable intelligence.

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Build AI-powered malware analysis using Amazon Bedrock with Deep Instinct

AWS Machine Learning Blog

By translating the intricacies of code into accessible language, DIANNA addresses the challenge of information overload, distilling vast amounts of data into concise, actionable intelligence. Splitting the dataset The data was split into subsets for training, validation, and evaluation.