Artificial Inteligence Automotive Data Engineering IoT 
O'Reilly Media - Ideas
JANUARY 8, 2019
In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. Continuing investments in (emerging) data technologies. Burgeoning IoT technologies.
Capgemini
MAY 28, 2020
Companies know they need to integrate artificial intelligence into the manufacturing process, but the real challenge continues to be achieving it at scale. Scaling artificial-intelligence implementations beyond the proof-of-concept (PoC) level remains one of the biggest hurdles. That opens up exciting possibilities.
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Altexsoft
APRIL 13, 2023
“Control towers are the artificial intelligence (AI) of supply chain. The readings from IoT sensors and other connected devices (e.g., External data sources To deliver comprehensive visibility and make accurate forecasts, your SCCT must collect data from external sources.
Existek
JANUARY 11, 2022
Among the customers of AWS, you can find the following organizations: Automotive – BMW, Toyota. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Machine learning. Governments .
CIO
AUGUST 3, 2022
When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.
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