Data Engineering IoT Machine Learning Off-The-Shelf 
CIO
SEPTEMBER 12, 2022
The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’.
O'Reilly Media - Ideas
JANUARY 8, 2019
Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. 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.
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Altexsoft
APRIL 13, 2023
Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. “Control towers are the artificial intelligence (AI) of supply chain. Everyone wants to have it, but nobody quite knows how it works.” Christian Titze, vice president analyst at Gartner.
Altexsoft
FEBRUARY 8, 2021
diversity of sales channels, complex structure resulting in siloed data and lack of visibility. To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article.
Altexsoft
FEBRUARY 22, 2022
Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures. Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated. Prevention is better than cure. These risks and losses can – and have to! –
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