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What to Do When AI Fails

O'Reilly on Data

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” Earlier this month, the FTC even published specific guidelines related to AI , hinting at enforcement actions to come. just hopefully less so than humans.

Risk 362
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Reflections on the Knowledge Graph Conference 2023

Ontotext

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium.

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How CFM built a well-governed and scalable data-engineering platform using Amazon EMR for financial features generation

AWS Big Data

Although we explored the option of using AWS managed notebooks to streamline the provisioning process, we have decided to continue hosting these components on our on-premises infrastructure for the current timeline. Each pipeline runs as a separate EMR Serverless application to avoid resource contention between workloads.

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Announcing the 2020 Data Impact Award Winners

Cloudera

We are delighted to officially publish this year’s Data Impact Award winners. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. The pipeline provides its clinicians fast access to real-time patient data and prediction models.

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Data Science at The New York Times

Domino Data Lab

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.

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What Is Embedded Analytics?

Jet Global

Deployment Style The greatest flexibility comes from solutions that can be easily deployed on-premise at customer sites, hosted in your data center, and made available in the cloud through such data platforms as Amazon Web Services and Microsoft Azure. Furthermore, it uses techniques that are known for scaling the implementation.