Decision Management Solutions
JUNE 4, 2021
Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017. Get started.
Smart Data Collective
JULY 28, 2022
The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. Many experts are using predictive analytics technology to forecast the future value of bitcoin.
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O'Reilly on Data
MARCH 19, 2020
Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however. Does the growing engagement in neural networks, reinforcement learning, unsupervised learning, and the increased focus on putting models into production augur a shift in how practitioners in the space frame what they do? What’s in a name?
Cloudera
SEPTEMBER 24, 2021
Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.
Sisense
NOVEMBER 26, 2019
There’s an insane amount of data today and most of it is new — an IBM study from 2017 asserted that 90% of all data had been created in the previous two years. Choose the right cloud; choose the right analytics partner and thrive. Everything about data storage has changed since then. And you can bet the pace has accelerated since then.
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