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Oracle Cloud SCM gets new capabilities to help manage logistics

CIO

The new features appear in its Oracle Transportation Management and Oracle Global Trade Management applications, and include expanded business intelligence capabilities, enhanced logistics network modelling, a new trade incentive program, and an updated Transportation Management Mobile application. billion annually in 2026, up from $5.3

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How companies around the world apply machine learning

O'Reilly Media - Data

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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5 ways AI can help mitigate the global shipping crisis

TechCrunch

Here are five methods we’ve been counseling clients to adopt: Use data and analytics to identify and map out the inventory being affected by the global shipping crisis. machine learning and simulation).

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. NJ Transit.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

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. Machine Learning model lifecycle management. Deep Learning. Graph technologies and analytics. Data Platforms.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.