Data is everywhere in a hybrid and multi-cloud world. Enterprises now have more data, more data tools, and more people involved in data consumption. This data proliferation has made it harder than ever before to trust your data: knowing where it came from, how it has changed, and who is using it. Data provenance is …
Take a second to think about all the ways data has changed in the last 20 years. In the hardware space, our mobile phones started out as large handhelds with pull-out antennas and limited processing power. Now they are advanced pieces of technology with a computational power 32,600 times faster than the computers we used …
Read more “Operationalizing data fabric: Through the lens of trading platforms”
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I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they work here or there, and sometimes you can use them to win Kaggle competitions. Unfortunately, this interpretation completely misses the forest for the trees. Neural networks are not just another classifier, …