Many organizations face a critical roadblock to IT/OT convergence: They lack the talent to get there.
has ushered in a new era of efficiency, collaboration and innovation for industrial organizations. This departmental merger has also necessitated a new kind of workforce, with companies in search of highly skilled teams capable of navigating both domains.
Advancements in generative AI hold the power to augment and amplify the capabilities of existing employees—filling many of the open skills gaps across the industrial sector without overreliance on new talent alone. The question is: Do teams know how to use these tools effectively?5 ChatGPT Prompts To Create Awesome Content That Actually Sounds Like You
OT responsibilities, on the other hand, require in-depth expertise and domain-specific knowledge in areas such as safety protocols, compliance standards and the integration of hardware and software systems across facilities. Add the need for an OT professional who knows how to leverage containerization and other cloud-native development practices, and it’s easy to see why many organizations can’t find the right person for the job.
Leaning on generative AI to accelerate coding efforts may still be the right choice, but it should be overseen by employees who are aware of common pitfalls and prepared to navigate potential automation issues.AI solutions rely on massive amounts of data to train and refine models. That’s why it’s vital to develop a centralized, streamlined and secure data backbone that can support AI applications and any future integrations.
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