I N D U S T R Y I N T E L L I G E N C E POWERED BY improvement , which will be vital as sustainability targets and deadlines loom .
Embedded AI can also extend to predictive maintenance , where pattern analysis can reveal potential failures before an outage . These wins can help develop that trust for AI and ML within digital infrastructure as they are applied at ever more strategic levels , such as business decision support , strategy validation and implementation .
AI-assisted design and management
AI-powered management and orchestration systems will be critical in allowing organisations to meet their sustainability goals . This capability will be of particular importance in complex cases such as Edge Computing deployments , where architectural complexity will be an issue .
Architectural complexity threatens to be multiplied in Edge deployments , as the relative ease with which such infrastructure can be deployed means that unless great care is taken , their proliferation could be a problem . AI assisted design and modelling , such as through our extensive design tool portfolio , will allow optimal deployments to be made with efficiency and effectiveness uppermost , while also ensuring sustainability concerns are met .
People , amplified
With the increasing integration of AI into more and more applications and services , but specifically decision platforms , the technology has the potential to narrow down myriad options , more easily perform due diligence from data and sources , and significantly reduce complexity .
The CIO can initiate the introduction of technical decision support facilities , learning and optimising as they progress , gradually building trust . With incremental trust-building , the power of AI to amplify human decision-making and discernment can propel businesses towards faster , better and more informed decision-making , leading to a competitive advantage that may have seemed like a superpower just a few years ago .
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