IBM Big Data Hub
MAY 9, 2023
It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Users can manage models through dynamic dashboards that track compliance status across defined policies and regulations. Ready to explore more?
IBM Big Data Hub
OCTOBER 4, 2022
It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Where do you go from here?
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CIO Business Intelligence
JUNE 16, 2022
IT funding might be on the rise, but the ROI for the business from technology investments isn’t as high as it should be. Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models.
O'Reilly on Data
MARCH 31, 2020
Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. What delivers the greatest ROI? How do you select what to work on?
IBM Big Data Hub
MAY 17, 2024
No automation: Security professionals identify and address incidents and problems manually through dashboards. Teams are comfortable with experimentation and skilled in using data to inform business decisions. The model’s five stages revolve around the organization’s level of security automation.
DataRobot Blog
FEBRUARY 28, 2023
Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.
Smarten
NOVEMBER 3, 2017
The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.
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