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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 312
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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.

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AI in the cloud pays dividends for Liberty Mutual

CIO Business Intelligence

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 145
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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

On top of a double-digit population growth rate over the past decade, the city hosts more than 40 million visitors in a typical year. By leveraging artificial intelligence and machine learning technologies, the smart city solution also learns to identify normal patterns of activity occurring in public places.

IoT 145
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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 115
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15 best data science bootcamps for boosting your career

CIO Business Intelligence

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.