AI in Business Applications - Manufacturing

We are in an era of unparalleled change, where AI,? agility, speed, and innovation are more important than ever. Businesses are seeking ways to transition from a reactive to a proactive approach, leveraging the vast amounts of data they accumulate every second. Despite being data-rich, many businesses struggle to extract meaningful insights.

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Consider how a manufacturing company traditionally operates: when a production line issue arises, the operator contacts customer service, who logs a ticket. Only then is a maintenance team dispatched to resolve the issue.

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Now imagine the same scenario in today's AI-driven world: real-time data collection and analysis allow the company to predict disruptions, automatically log cases, and determine the necessary skill level for intervention. AI and ML determines if a team can then be dispatched to service the machinery before a disruption occurs.

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How can this be achieved? By adopting a trusted, secure, and composable platform that addresses specific needs across the value chain. This platform taps into a unique data estate built with industry-specific data models and offers best-in-class process automation capabilities, all built with a low/no-code approach.