Some AI-based services and tasks today are relatively trivial. Explainable AI won’t replace people but will complement and support them so they can make better, faster, more accurate and more consistent decisions.
In brief:
Many artificial intelligence applications today are effectively “black boxes” lacking the ability to “explain” the reasoning behind their decisions.
Explainable AI won’t replace human workers; rather, it will complement and support people, so they can make better, faster, more accurate decisions.
Use cases for Explainable AI include detecting abnormal travel expenses and assessing the driving style, based on Accenture Labs research.
Machine learning software development services involve creating self-learning algorithms that can minimize errors and maximize accuracy with time. Systems powered by ML analyze data and learn new things from them which results in fast and reliable insights delivered without any human intervention.
AI promises to help us identify dangerous industrial sites, warn us of impending machine failures, recommend medical treatments, and take countless other decisions.
Our capabilities are built on the most comprehensive cloud platform, optimized for machine learning with high-performance computing, and no compromises on security and analytics.
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