Featured: The Emerging Role of Generative AI.
As industries continue to evolve in the digital age, the integration of generative AI into business processes is becoming not just a possibility but a necessity. At the forefront of this transformation are companies that recognize the substantial potential of AI to enhance productivity, optimize performance, and improve overall product quality. However, while the benefits are clear, the journey to successfully implement AI comes with its own set of challenges.
“In our business, we recognize the transformative potential of generative AI and have proactively committed to integrating AI and machine learning (ML) into our organization. As a manufacturing company, we see significant opportunities to enhance productivity, performance, and quality through these technologies.
Our first challenge was identifying a qualified AI leader to spearhead our AI initiatives, which we successfully addressed by recruiting an experienced AI leader who brings both strategic vision and technical expertise.
The next challenge is assembling a skilled team around this leader to drive our AI projects, and we are focusing on hiring top talent in AI and ML to ensure we have the right mix of skills to address our manufacturing needs.
Additionally, we are investing in comprehensive training programs to educate our employees on generative AI and AI, empowering them to make informed decisions and effectively collaborate with our AI team. By taking these steps, we are positioning ourselves to leverage AI for significant improvements in our manufacturing processes, ultimately enhancing our organizational performance and product quality.”
Dan Stuart, SVP & CIO, Southwire
“Our challenge was getting the organization familiar with the capabilities of the technology. While most employees have played around with Chat GPT and like tools, it is sometimes difficult to find the connection to how these tools can be leveraged to solve business problems or drive efficiency. Some products like Microsoft Copilot have really good office-type efficiencies, but it is a change to how people work.
For copilot, we have a weekly sharing session for our pilot users. This is a popular session. We feel without this session, adoption would be much lower.
For other, more complex business use cases, we showcase these on town halls and senior staff meetings to try to get more use cases coming in. Typically, these more complex cases use several AI tools together – RPA, ML, analytics, etc.”
Anonymous, SVP & CIO, Southwire
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