Dustin Johnson
After many digital transformation projects consisting of both successful adoptions and efforts stuck in pilot purgatory, manufacturers in many industries are recognizing that success requires more than adopting new technologies. It should be no surprise that the technical parts of digital transformation are far less important than its business and human aspects. In fact, the most important technological consideration is how well it supports people to adopt new practices and behaviors in pursuit of efficient workflows and increased business value.
Despite this understanding, many business leaders still initiate digital transformation programs without clearly outlining and communicating the rationale, business impacts or nature of changes and the steps for achieving them. They also commonly overlook the upskilling required to empower their workforce to use these new technologies, risking not only a subpar return on investment, but also contributing to today’s widening skills gaps.
The most forward-thinking organizations invest in innovative technologies, such as advanced analytics and generative artificial intelligence (genAI), which improve workflow efficiency, use of operations data and manufacturing insights, while also providing industry-relevant, just-in-time learning on demand. By pairing digital transformation with user empowerment, these companies create insights, and decrease the learning curve to understand them, yielding better business results, while easing the tasks of personnel who perform them.
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