Data Engineering Information Off-The-Shelf Weak Development Team 
Altexsoft
JUNE 11, 2021
Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc. What is process mining?
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. Besides, it means having information about your suppliers, customers, carriers, and other partners, as well as about your internal processes all along the line.
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O'Reilly Media - Ideas
MARCH 31, 2020
You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.
Altexsoft
DECEMBER 7, 2021
It’s amazing how some people are so bad at time management while being so good at making up reasons for chronic lateness. In logistics, it refers to the transportation of goods and is typically used to inform customers of the time when the vehicle carrying their freight will arrive. In business, time is money. ETA vs ETDel.
Altexsoft
JUNE 6, 2019
Forrester Consulting discovered that poor checkout experience and long lines are the third highest reason grocers would skip the line and shop in a different place. In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds.
Altexsoft
OCTOBER 21, 2022
We describe information search on the Internet with just one word — ‘google’. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Practically, nothing.
O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
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