CIO
JULY 10, 2023
For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.
Cloudera
FEBRUARY 15, 2023
His day-to-day consists of development activities like writing and reviewing code, working on features around release timelines, and participating in design meetings for the team supporting the CDP Data Engineering product. Amogh has the unique experience of working on CDP Data Engineering during his internship.
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TechCrunch
NOVEMBER 28, 2022
Others include Scale AI , which initially focused on the automotive sector but has since branched into a number of other areas and is now valued at around $7 billion; Labelbox , which works with companies like Google and others on AI labeling; and Hive , which is now valued at around $2 billion. V7 even lays out how the two services compare.)
Capgemini
MARCH 16, 2022
Whatever the aerospace product – from the simplest part to a 94,000lb jet-engine or even satellite production – aerospace requires combining labor-intensive manufacturing with the precise assembly of ultra-complex products. Accelerate the digitalization journey. In the Factory of the Future, Intelligent Industry 4.0
Agile Engine
SEPTEMBER 29, 2023
Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.
O'Reilly Media - Ideas
JANUARY 8, 2019
The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.
Capgemini
MAY 28, 2020
The use of IoT sensors means manufacturers can access real-time data now. We worked with one automotive company on predictive models to identify robot failures. Manufacturers typically work with components from multiple sources, so assembling all the data from suppliers and the shop floor is critical for tracing back defects.
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