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Explainable AI is needed to fully comply with the new EU data protection law. But companies don't need to sacrifice the benefits of machine learning accuracy to do it.
The time for talking is over, and the time for action is now. A global survey by ServiceNow finds that 9 out of 10 CIOs are moving fast to automate their business processes.
Machine learning and AI are becoming necessary in todayu2019s complicated IT environment, causing CIOs to figure out how to use them so IT pros and business both benefit.
As big data analytics continues to transform the economic and social landscape, is it time to ask questions about the ethical nature of the algorithms employed by various organizations?
Generative AI, large language models (LLMs), and AI service management (AISM) have the potential to redefine the entire ESM sector completely.
The modern enterprise stack will ultimately be entirely defined by artificial intelligence.
With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly.
AI-driven software requires an updated approach to software testing.
The evolution of big data, data science and analytics was on full display at this yearu2019s Strata Data Conference with one overarching message: We need to get big data right.
The Feast of the Beasts.
Automation, sophisticated algorithms and thus intelligent systems are leading us from software-defined infrastructure (SDI) to artificial intelligence-defined infrastructure.
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