Raiders of the storm: The data science behind weather prediction
What kind of data and techniques are used to model and predict weather and climate? How do you reduce uncertainty and communicate complexity? Are Harvey and Irma signs of climate change, and is it going to get worse?
Read More →In-memory architecture + streaming data = Digital Twins?
The Digital Twin is a buzzword in its prime time infancy. We take a look at what it is and how it relates to modern data architectures, examining ScaleOut's adoption and implementation and comparing with other alternatives.
Read More →Kafka gets SQL with KSQL
Apache Kafka is a key component in data pipeline architectures when it comes to ingesting data. Confluent, the commercial entity behind Kafka, wants to leverage this position to become a platform for the enterprise and today is announcing a milestone on the road to ubiquity: SQL.
Read More →Semantic data lake architecture in healthcare and beyond
Data lakes can be a great asset, but they need an array of elements to work properly. We take a look at how it works for Montefiore Health System and discuss the role of semantics and graph databases in the data lake architecture.
Read More →Supercharging your image: Machine learning for photography applications
Advanced capabilities for image retrieval and processing are relatively new and powered to a large extent by advances in machine learning technology. We present a brief history of this space, and share the story of how Shutterstock has embraced this technology and what it does for them.
Read More →In-memory computing: Where fast data meets big data
The evolution of memory technology means we may be about to witness the next wave in computing and storage paradigms. If Hadoop disrupted by making it easy to utilize pooled commodity hardware with spare compute and storage, could the next disruption come from doing the same for spare compute and memory?
Read More →How machine learning is taking on online retail fraud
Fraud is one of the biggest causes of lost revenue for online retailers. Fraugster and Riskified, two startups that operate in this space, share their insights and methods for safeguarding online retail.
Read More →Shipping to data: The case of Amazon Prime Day
Did you ever wonder how retail hallmarks like Amazon Prime Day and global shipping are connected? Freightos has the data to answer such questions, as it happens to be on a mission to disrupt the freight industry.
Read More →Alibaba: Building a retail ecosystem on data science, machine learning, and cloud
What does it take to compete in a global arena in which retail and cloud are increasingly intertwined? Domain-specific data science and machine learning for the masses, according to Alibaba.
Read More →NBA analytics: Going data pro
For the NBA, like every other sports league, awards are important. They can generate attention, spur debate, make money, and involve fans, players, and experts, among others. Is there data science and analytics behind them — can there or should there be? We picked the NBA Most Improved Player award as an example to analyze some aspects of data-driven culture.
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