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TechCrunch
APRIL 6, 2022
The rapid changes brought on by the health crises forced businesses to adapt practically overnight, accelerating the rollout of new products. According to a 2021 survey from ManageEngine — the IT division of Zoho — 80% of U.S.-based Of course, the benefits haven’t been evenly distributed. .”
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. How do you put your organization in a position to take advantage of ML technologies?
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Datavail
OCTOBER 29, 2019
Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. In order to stay on top of the field, organizations need to be apprised of the latest big data developments, as well as the landscape that lies ahead. More on that later.).
CTOvision
DECEMBER 21, 2016
Organizations are dealing with ever-growing amounts of data – and to get value from that data they need to analyze it, so what is the hold up in deploying content analytics? Practically every organization today has more content flowing through its various departments than at any time previously. Bob Larrivee.
Altexsoft
SEPTEMBER 6, 2018
Other organizations may want to develop a custom analytical and visualization platform to be in control of their operations and make strategic decisions based on the insights. Business analytics: business intelligence and statistical analytics. Business analytics can be used for: Data management.
Gorilla Logic
MAY 19, 2021
KPMG reports that 67 percent of tech leaders struggle to find the right tech talent, and 22 percent of organizations surveyed by Coding Sans ranked increasing development capacity as their top challenge. Get the most out of your data with data warehousing and analytics. Mobile app capabilities for software outsourcing.
Altexsoft
FEBRUARY 8, 2021
Managing a supply chain involves organizing and controlling numerous processes. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.
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