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Data Digest: Machine Learning, Delivery Analytics, IoT Success

Understand the potential of machine learning, how delivery logistics is improving with analytics, and how leaders in the IoT space differ from those falling behind.

Understanding the Potential of Machine Learning

Big data is important, but integrating machine learning may be the key to really improving your business strategy. This article discusses marketing use cases, but the examples can be extended to other opportunities enabled by machine learning.

Read more at DBTA


Delivery Logistics and Analytics

The final leg might be the only part of delivery service that hasn't already been fully optimized and streamlined. UPS, the U.S. postal service, and various start-ups are using data from cloud services to search for efficiencies.

Read more at Forbes


Leaders in IoT See the Importance of Purpose

Many enterprises want to jump into providing IoT devices or connected services. However, being successful takes more than agile development -- it takes a plan.

Read more at Mokriya Blog

About the Author

Lindsay Stares is a production editor at TDWI. You can contact her at lstares@tdwi.org.


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