The recent health and economic crisis remind us that instability is a constant and that crisis situations tend to overlap rather than follow one another. […]
The recent health and economic crisis remind us that instability is a constant and that crisis situations tend to overlap rather than follow one another. […]
Choosing the right pricing management and optimization solution can prove to be a real headache. The market is fragmented, with solutions having widely varying features, […]
Overcoming Python Notebooks’ limitations As ActiveViam’s engineers build prototypes for clients and our Data Lab works on finding actionable insights on our clients’ market, business, […]
This article presents elements of a study carried out by the ActiveViam Data Lab. The ActiveViam Data Lab is composed of data science experts who […]
We are very happy to announce the line-up for the ActiveViam Connect. The 9th ActiveViam Connect conference will take place in London on Friday, June […]
This blog explores new possibilities for in-memory analytics in Azure. We fire on demand a cluster of 128 G5 instances and load in memory a […]
One element that is often neglected by brick & mortar retailers, for lack of sufficient analytical capabilities to take it into account, is that the […]
We are proud to announce our new partnership with Atos to build a Big Data appliance aimed at serving banks and other financial institutions. The […]
Who wants a Real-Time Supply Chain?
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Everyone, it seems. Take Procter & Gamble. In a recent talk, Procter & Gamble’s SVP of Product Supply, mentioned they have created a “real-time instrumented supply […]
Historical data analysis is typically enabled using data duplication technologies. But is this method still valid today when users need to analyze historical data that’s […]
In the last post, I explained the difference between SMP and NUMA architectures as we enter the “many-core” era. I also asked the following question: […]
In our previous post, How In-Memory Computing is Accelerating Business Performance, we explained the disruptive potential of in-memory computing. Performance gains resulting from faster execution […]