Cloudera
OCTOBER 4, 2023
Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics. Kudu has this covered. The post Don’t Blink: You’ll Miss Something Amazing!
DataRobot Blog
MARCH 8, 2023
Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes.
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CIO Business Intelligence
JUNE 14, 2023
CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. The exam requires the candidate to use applications involving natural language processing, speech, computer vision, and predictive analytics.
Corinium
APRIL 25, 2019
The areas of fastest AI innovation and adoption are around machine learning, using it for more and more use cases where there exists large volumes of data, and human beings just don’t have the bandwidth or can’t keep up with ongoing stream of transactions, events, or whatever other changes in the environment being described by that data.
Occam's Razor
FEBRUARY 7, 2011
The latter, except in rare cases, is hard to do predictive analytics on unless you are a stagnant business. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness.
DataRobot
JANUARY 20, 2022
— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities.
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