How IoT’s ‘Massive Data Sprawl’ Opens New Opportunities
The growth of the Internet of Things market means an incoming, perpetually expanding flood of data, which creates all sorts of big new problems that can translate into big new opportunities for solution providers. CRN talks to executives at three vendors working in IoT, edge computing and AI about the different kinds of software and systems that can help organizations make sense out of all the IoT data they’re collecting. By Dylan Martin July 26, 2021, 05:51 PM EDT
There is a data tsunami coming and well, it may already be here, largely thanks to the increasingly growing number of IoT sensors and endpoints that are sprouting at the edge. Consider Gartner’s prediction from a few years ago that the amount of data created by enterprises outside traditional data centers will reach 75 percent, much higher than the 10 percent figure it assessed for 2018.
/PRNewswire/ Splice Machine, a real-time machine learning and AI solutions provider, today announced the release of Livewire Pulsar, the latest edition of.
How feature stores can reduce the ‘Groundhog Day’ effect for data scientists
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Splice Machine’s Monte Zweben explains how feature stores can help cut down the monotonous parts of a data scientist’s job.
Many people pursue a career in data science because they love solving problems. But something called the Groundhog Day effect can limit that, according to Monte Zweben, CEO of real-time AI company Splice Machine.
Zweben, who previously worked as the deputy chief of AI at NASA’s Ames Research Center and sits on the advisory board for Carnegie Mellon University’s School of Computer Science, believes feature stores can help.
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Our first response when hearing of the license change was that at least Elastic didn t invent yet another weird new license, and instead grabbed one off the shelf. Customer legal departments can rest easy that they won t have to vet yet another strange licensing offshoot. And secondly, after we started Googling all the details, cookie tracking triggered a wave of save on the cost of Elasticsearch log analytics ads from ChaosSearch.
It s the latest in a saga that refuses to end: can open source databases avoid becoming victims of their own success? It dates back to MongoDB s 2018 embrace of the SSPL, followed by Redis, CockroachDB, and Confluent announcing their own quasi-open source licenses du jour. Meanwhile, stalwart MariaDB retained the classic GPL license to keep the so-called cloud predators away for its core engine, but also used BSL for some other parts of their platform such as MaxScale. There s so much sturm und drang in this field. Like here and here. But