Data Engineering Off-The-Shelf Video 
CIO
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
Erik Bernhardsson
DECEMBER 15, 2020
I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Mediocre software exists because someone wasn't able to hire better engineers, or they didn't have time, or whatever.
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Altexsoft
OCTOBER 3, 2019
Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. The day may come when a seasoned professional tells you or your colleague about their plan to leave the company in a month. This situation isn’t extraordinary: managers and HR specialists of any organization have been there.
O'Reilly Media - Ideas
MARCH 31, 2020
We won’t go into the mathematics or engineering of modern machine learning here. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data.
CIO
JULY 14, 2023
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”
Altexsoft
JUNE 6, 2019
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. Physical stores still have a lion’s share of sales, but the tendency of the growing demand for online experiences shouldn’t be ignored. Source: Forrester Consulting. Amazon Go stores.
Altexsoft
OCTOBER 21, 2022
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. What does the high-performance data project have to do with the real Franz Kafka’s heritage?
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