O'Reilly Media - Data
JULY 23, 2018
Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".
TechCrunch
MAY 9, 2022
By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.
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TechCrunch
AUGUST 2, 2022
xCash flows freely where it concerns enterprise analytics — the global big data and business analytics segment could be worth nearly $700 billion by 2030, depending on which analyst you place your faith in. Unsupervised, Pecan.ai
Gorilla Logic
MAY 19, 2021
Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .
Cloudera
FEBRUARY 18, 2021
In Deloitte’s Insurance Outlook survey , 79% of respondents believed the pandemic uncovered shortcomings in their company’s digital capabilities and transformation plans. While adaptations were made, a staggering 95% of those surveyed are still accelerating, or looking to speed up, digital transformation to maintain resilience. .
CTOvision
JUNE 3, 2014
SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. Product Availability.
Trigent
AUGUST 23, 2023
The enhanced interest in RPA is further reinstated by the National Association of Manufacturers (NAM), the digital arm of Manufacturing Leadership Council USA , which found in its survey that 83% of respondents cited reducing cost & improving productivity as key motivations to invest in digital technology.
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