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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

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Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. Organizations have come to understand that they can use both internal and external data to drive tremendous business value.

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Maximizing SaaS application analytics value with AI

IBM Journey to AI blog

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. What are application analytics?

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Detect anomalies in manufacturing data using Amazon SageMaker Canvas

AWS Machine Learning Blog

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. For details, refer to Import data into Canvas. The sample data used is available for download as a CSV.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Delta Lake Delta Lake is an open-source storage layer that provides reliability, ACID transactions, and data versioning for big data processing frameworks such as Apache Spark.