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Understanding the value of data
Data - as the foundation of trusted AI - can lead the way to transforming business processes . However , many manufacturing executives say they are challenged when utilizing innovations , including AI , for new use cases . According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies - led by artificial intelligence ( AI ), Internet of Things ( IoT ), data , and analytics . Yet only eight percent of industrial organizations say their digital transformation initiatives are successful . The lack of universal industrial data has been one of the major obstacles slowing the adoption of AI amongst manufacturers . But advanced technologies are only part of the digital transformation story , and manufacturers who want to get ahead on AI innovation must first understand data ’ s role and value . Due to the very low cost of sensors , manufacturers now have unprecedented capacity to collect , utilize , and manage massive amounts of data . But if AI doesn ’ t have access to a complete set of high-quality data , it will provide questionable analysis and belowoptimal results . It ’ s not uncommon for organizations to construct solutions with these faulty assumptions . Without this solid
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