Technologies such as smart sensors and the Internet of Things (IoT) are enabling vast amounts of detailed data to be collected from scientific instruments, manufacturing systems, connected cars, aircraft and other sources. Dave Oswill, MATLAB product manager at MathWorks, shares how to integrate big data tools into your workflow.
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Industry Perspectives
How AI Can Help Marketers Harness Big Data Opportunities in 2019
In this special guest feature, Solomon Thimothy, CEO of DMA | Digital Marketing Agency, believes that digital marketing advancements in 2018 have set a high bar for customer expectations. Customers now expect, deserve and demand that personalized, seamless transactions will only increase in 2019. By focusing on data-based AI solutions, organizations can ensure the customer journey will be more personalized and more profitable in the year to come. [READ MORE…]
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insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning
This insideBIGDATA technology guide explores how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.
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