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Monte Zweben proposes a whole new approach to MLOps that allows to scale models without increasing latency by merging a database, a feature store, and machine learning.

The Business Research Company’s Big Data and Analytics Services Global Market Report 2022 – Market Size, Trends, And Global Forecast 2022-2026

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 ...

/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 8 seconds ago8 Views 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 Mel...