Business Analytics Machine Learning Survey 
O'Reilly Media - Data
JULY 23, 2018
Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.
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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CIO
APRIL 15, 2022
According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.
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.
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
CIO
MARCH 27, 2023
David Reis, CIO, University of Miami Health System and Miller School of Medicine University of Miami Health System and Miller School of Medicine Despite another year dominated by a transformation agenda and getting digital operations in order, CIOs like Reis are finding their footing as an invaluable strategic partner and resource for the business.
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. .
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