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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

It's a popular attitude among developers to rant about our tools and how broken things are. Maybe I'm an optimistic person, because my viewpoint is the complete opposite! I used to write custom mapreduce jobs to pull basic stats, then wait for hours for those jobs to finish. I once ran a web shop and spent a week implementing credit card payments.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

We saw how excited data scientists were about modern off-the-shelf machine learning libraries, but we also witnessed various issues caused by these libraries when they were casually included as dependencies in production workflows. mainly because of mundane reasons related to software engineering.

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RTLS in Warehouses: Boosting Efficiency with IoT-Based Systems

Altexsoft

Then, all this data is transferred to the cloud for storage and processing. To succeed, digitization is a must, and it’s not only about replacing personnel with robots and autonomous vehicles. Real-time tracking systems and advanced analytics software can optimize warehouse workflows. Misplaced inventory and equipment. AR glasses.

IoT 52
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Schedule Optimization: Technological Approaches and Use Cases

Altexsoft

Monetary expenses are any operating or capital expenditure that impact the financial result such as payroll, overtime compensations, mileage costs, shrinkage, depreciation, storage costs, and so on. What is schedule optimization? Depending on the industry and management domain, scheduling may refer to. Main factors in a scheduling process.

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Rail Fleet Management: How Technologies Help Handle Asset Tracking and Maintenance in Freight Rail Industry

Altexsoft

Compared to truck – its main competitor – train is cheaper (in the US it’s 4 cents vs 20 cents per ton-mile), more efficient (the record-breaking train was 682 cars and 4.5 Understanding when exactly the train is expected to arrive is of the same importance for shippers and other supply chain stakeholders. ETA forecasting.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

We saw how excited data scientists were about modern off-the-shelf machine learning libraries, but we also witnessed various issues caused by these libraries when they were casually included as dependencies in production workflows. mainly because of mundane reasons related to software engineering.

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Traffic Prediction: How Machine Learning Helps Forecast Congestions and Plan Optimal Routes

Altexsoft

Traffic prediction means forecasting the volume and density of traffic flow, usually with the purpose of managing vehicle movement, reducing congestion, and generating the optimal (least time- or energy-consuming) route. In 2021, NYC drivers lost an average of 102 hours in congestion – and before the pandemic that score was even worse.