Analytics Automotive Big Data Data Engineering 
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. But the question how to start remains. Accelerate the digitalization journey.
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. When new and more capable systems were introduced to its existing IT structure, it became clear that the company’s data and analytics also needed an upgrade. Reading Time: 2 minutes.
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Altexsoft
APRIL 13, 2023
The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.
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
NOVEMBER 9, 2021
If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.
Existek
JANUARY 11, 2022
The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Among the customers of AWS, you can find the following organizations: Automotive – BMW, Toyota. Data and analytics. Manufacturing – HP, Renault.
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.
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