Innovations in AI are helping organizations find new competitive advantages within the vast amounts of data they produce daily. Machine learning algorithms and AI routines guide analysts toward the insights that unlock new opportunities, predict risk, optimize operations and even save lives.
These new technologies aren't just transforming industries—they're redefining how organizations operate, compete and thrive in an increasingly data-driven world.Organizations today produce a wealth of complex, multidimensional data that can’t fit neatly into a spreadsheet.
But when analytics is powered by AI, the complex patterns, relationships and trends hidden within unstructured data are brought to the surface. Not only can the sophisticated AI algorithms and techniques do the heavy lifting to pull all the necessary data together, but they can also analyze all the information and direct analysts to key insights, helping them focus their efforts on deeper assessments of the right risks and opportunities.
Although knowing when equipment will fail can solve a lot of headaches, there are more benefits—and savings—in knowing what you need to do to keep a piece of machinery from failing in the first place. AI-driven machine learning algorithms can analyze data from disparate systems to identify patterns and anomalies associated with machinery failures, assign risk scores to individual machinery components and use XAI to recommend the best course of action.