Remove Data Lakes Remove Data Preparation Remove Events
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Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Data Science Dojo

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. Overview of One Lake Fabric features a lake-centric architecture, with a central repository known as OneLake.

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How Northpower used computer vision with AWS to automate safety inspection risk assessments

AWS Machine Learning Blog

Recent events including Tropical Cyclone Gabrielle have highlighted the susceptibility of the grid to extreme weather and emphasized the need for climate adaptation with resilient infrastructure. Data preparation SageMaker Ground Truth employs a human workforce made up of Northpower volunteers to annotate a set of 10,000 images.

AWS 119
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How Light & Wonder built a predictive maintenance solution for gaming machines on AWS

AWS Machine Learning Blog

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 110
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How Marubeni is optimizing market decisions using AWS machine learning and analytics

AWS Machine Learning Blog

Data collection and ingestion The data collection and ingestion layer connects to all upstream data sources and loads the data into the data lake. Therefore, the ingestion components need to be able to manage authentication, data sourcing in pull mode, data preprocessing, and data storage.

AWS 100
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What is Data Mining? 

Pickl AI

Why is Data Mining Important? Data mining is often used to build predictive models that can be used to forecast future events. Moreover, data mining techniques can also identify potential risks and vulnerabilities in a business. Further, data transformation is also a process ensuring consistent data sets.

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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

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Driving Data Catalog Adoption

Alation

Data Literacy—Many line-of-business people have responsibilities that depend on data analysis but have not been trained to work with data. Their tendency is to do just enough data work to get by, and to do that work primarily in Excel spreadsheets. People – Which data stakeholders will you bring on board at what times?