O’Reilly Media Editor, Jon Bruner, recently sat down with MemSQL VP of Engineering, Drew Paroski, and MemSQL CMO, Gary Orenstein, to discuss the rapid growth and impact that machine learning will have in 2017.
In this podcast, Paroski and Orenstein share examples from companies using real-time technologies to power machine learning applications. They also identify key trends driving the adoption of machine learning and predictive analytics.
Podcast topics of discussion include:
by Nicole Nearhood
The Internet of Things (IoT) produces staggering amounts of data daily. Real-time analysis of this data helps businesses address the demands of consumers in today’s always-on economy.
Supply chain management exemplifies IoT impact on manufacturing industries. With a multitude of moving parts like vehicles, shipping containers, and packages functioning as sources of data, companies need more advanced methods for ingesting and analyzing IoT data.
Most companies use descriptive analytics, but...
by Monica Multer
Organizations once waited hours, days, or even weeks to get a handle on their data. In an earlier era, that sufficed. But with today’s endless stream of zeros and ones, data must be usable right away. It’s the crux of decision making for enterprises competing in the modern era.
Recognizing cross-industry interest in massive data ingest and analytics, we teamed up with O’Reilly Media on a new book: The Path to Predictive Analytics and Machine Learning. In this book, we share the latest step...
by Kevin White