Analysis Data Engineering Metrics Survey 
Altexsoft
FEBRUARY 11, 2023
Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it. Feel free to enjoy it.
O'Reilly Media - Ideas
NOVEMBER 13, 2018
We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. There are also many important considerations that go beyond optimizing a statistical or quantitative metric. Real modeling begins once in production. Culture and organization.
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Altexsoft
JULY 23, 2020
Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. Data validation. Data preparation.
O'Reilly Media - Ideas
AUGUST 26, 2019
For example, Figure 1 shows usage across a few select topics related to AI and Data. We measure consumption with Units , a metric tuned specifically for the type of content (e.g., Content usage across a few select AI and Data topics on oreilly.com. Introduction to Machine Learning with Python: A Guide for Data Scientists.
Trigent
NOVEMBER 3, 2022
In comparison, 71% of 3PLs think process quality and performance can be significantly improved with the help of big data. Interestingly, a whopping 91% of respondents in McKinsey’s Global Manufacturing & Supply Chain Pulse Survey 1 believe forecasting in the years ahead needs to be different given the disruption the pandemic has caused.
Altexsoft
FEBRUARY 8, 2021
Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.
Existek
SEPTEMBER 28, 2023
Using prepared data, AI software developers can implement techniques to evaluate and optimize model performance. It can often involve feature engineering to support relevant functionality. It underpins various aspects of AI development, from algorithm design and data analysis to model selection and ethical considerations.
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