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
TIBCO - Connected Intelligence
SEPTEMBER 7, 2021
Today, it has grown into a top-class financial player in the automotive market, specializing in finance, leasing, insurance, and mobility. Data virtualization breaks down data silos , giving your business users one place to access, combine, and govern all your data. Reading Time: 2 minutes.
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CIO
DECEMBER 6, 2023
A global automotive technology company that partnered with FPT Software is a great example of how leveraging a resourceful third-party provider can enable breakthrough results. Despite logistics challenges caused by the global pandemic, the company managed to rapidly scale up its team to over 1,000 people in a period of only 11 months.
Altexsoft
APRIL 13, 2023
You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. Data siloes. Lack of skilled experts.
Existek
JANUARY 11, 2022
Among the customers of AWS, you can find the following organizations: Automotive – BMW, Toyota. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Development Operations Engineer $122 000. Governments .
Altexsoft
NOVEMBER 9, 2021
Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights. But before we dive in, consider reading about data engineering to get an idea of the main concepts and stages.
N2Growth Blog
JANUARY 10, 2017
Systems Engineer. Data Analyst. DEADS: Data Engineer and Data Scientist. Machine Learning Engineer. Traditional IT departments are overwhelmed by Big Data and challenged to keep up. The stack includes Big Data, Advanced Analytics and AI services. To: AI/Cognitive Era. Programmer.
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