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Big data, machine learning and AI News
May 05, 2020
IBM and Red Hat have jumped into the edge computing market debuting a slew of products and services that work hand in glove with the existing hybrid cloud strategy it shares with Red Hat.
April 21, 2020
IBM cloud revenues saw incremental first quarter growth, despite the March slump due to COVID-19, and the new CEO promised to pursue a more aggressive cloud and AI strategy.
March 04, 2020
Microsoft Azure's HDInsight has a new, company-backed distribution of Hadoop, which should reassure customers interested in hybrid big data deployments.
September 25, 2019
Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
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Use this rundown of IoT offerings from AWS, Microsoft and Google to help decide which best suits your needs for collecting, processing and analyzing device data in the cloud. Continue Reading
AWS machine learning capabilities relies on the Jupyter Notebook tool. Follow this video tutorial to learn how to set up a Jupyter notebook on Amazon EMR. Continue Reading
Automation is essential to change management in the cloud. Discover the best practices that ensure your IT team is in sync and productive when handling change. Continue Reading
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Quantum computing is the latest technology to catch the eyes of developers and cloud providers like AWS and Microsoft, but analysts predict it could still be years away from practical use. Continue Reading
Moving data to a cloud database is an effective way to optimize cost and performance for applications. Review seven of Google's database services and decide if one is right for you. Continue Reading
Developers and data scientists should familiarize themselves with these six SageMaker tools meant to simplify the machine learning process. Discover what they offer to your models. Continue Reading
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The sticker shock of cloud bills is still a pain point for enterprises. Providers are looking to AI to fix the problem, but can this technology actually meet customers' needs? Continue Reading
Google took a different approach than AWS and Microsoft when it built a service for ad hoc SQL queries. See how that played a role in the latest round of updates to BigQuery. Continue Reading
Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value. Continue Reading
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Joan Pepin, CISO and vice president of operations at Auth0, says cybersecurity automation makes her job possible, but it can't replace the human talent her industry badly needs. Continue Reading
AI and machine learning technologies can broaden an application's capabilities, but they can also open an enterprise to new threats. Continue Reading
It seems like everything's in motion these days. Streaming data is no exception. With the avenues of information proliferating, it's critical that companies extract value from incoming data in real time, enabling them to devise successful business ... Continue Reading