Our research into AI implementation unveils the characteristics that define success. Learn from those who have mastered their AI projects about the best approaches to stakeholder roles, technologies and tools, talent sources, budget responsibility...
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Jun 29, 2020
Digital transformation initiatives require a data infrastructure with open architecture, maximum availability, and invisible operations.
A potential solution to a problem brought about by the COVID-19 pandemic can serve as a data requirements analysis example.
Automated software solutions have a new appeal for remote teams handling enterprise finances, as they ensure accounts payable and other tasks happen quickly and more accurately.
With its Softomotive acquisition, the tech giant’s interest in robotic process automation is clear and the market is expected to take off, but skeptics remain.
AIOps tools have promising applications across IT, but the cloud is one of the areas where AIOps is poised to offer the greatest benefits.
The changes caused by the Covid-19 pandemic may mean AI’s moment is finally upon us.
Here's how to develop a "risk relevance" matrix that helps optimize the governance of data in your organization.
