The Economic Impact of Transitioning to Hybrid Cloud for Analytics and Machine Learning
Analytics and ML performance and speed to results can be vastly improved when using a hybrid cloud that incorporates a modern database.
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Analytics and ML performance and speed to results can be vastly improved when using a hybrid cloud that incorporates a modern database.
To fully gain the benefits of analytics, all employees at a business need to be able to access and interact with analytical
Major themes that persisted throughout the year included applying analytics to supply chain problems, mainstream use of AI, and infrastructure to access data.
ShockNet analyzes global data to help users home in on what they can control — and to hopefully protect the health, jobs, and well-being of their
Utilities modernizing their operations need 5G and edge processing to help make sense of and reduce the large volumes of data generated by IoT and other smart …
In this week's real-time analytics news: A new release of Apache Cassandra emphasizes externalizing important key functions into a pluggable interface.
This initiative comes as the MTA prepares for a predicted multibillion-dollar shortfall in the coming years, thanks to pandemic
In the past few years, crypto miners have been buying up pretty much every high-capacity GPU available on the market. So, the crypto miners’ pain may well be …
Data-driven decision-making is a critical aspect of any digital transformation initiative. Success hinges on rethinking BI and dispelling commonly held beliefs …
ChatGPT uses GPT3.5, an upgrade on the GPT3 model that uses deep learning to create “human-like” text.