Artificial Intelligence in Manufacturing: From Roadblocks and Pitfalls to Strategy and Roadmap

Jesus Ruvalcaba, Manufacturing & Business Intelligence Developer

American Woodmark Corp


Over the past several years, the race to adopt Artificial Intelligence (AI) technologies has increased tremendously while the success rate remains low. Some organizations have yet to implement AI for the first time. Other organizations need to invest heavily in building a strong foundation to deploy AI applications. For us to have a successful AI project, we needed to identify the weaknesses and evaluate the lessons learned. We must consider the way we make decisions, manage the everyday tasks, and getting things done. Our cross-functional team performed an extensive and in-depth analysis of the problem to develop the plan for AI adoption. We soon realized that for AI to work the way it's been promised to work, we needed to start with a solid foundation that can work across the different business areas, stay away from the silo mentality, and have clean data.  Not only we learned from our failures and adapted new strategies to our current methods, but we can also use this approach across the organization. AI is here to stay, and we need to embrace it.

Jesus Ruvalcaba is a Manufacturing & Business Intelligence Developer for American Woodmark Corporation. He supports the business and the manufacturing needs handling technologies, applications, and practices for the collection, integration, analysis, and presentation of data. He joined the company in 2016 in the Career Orientation Development track to understand the entire business processes. He was promoted to Innovation Project Specialist in 2017 to work under an executive team formed by the Chief Financial Officer, Chief Information Officer, and Vice President of Marketing Strategy advising the team and helping understand the implementation and the utilization of Big Data technologies and the Internet of Things throughout the company. He was promoted to Innovation Project Developer in 2017 where he worked closely with different areas of the organization not only evaluating cutting edge and researching emerging technologies but also implementing these technologies and aligning them with the business needs, processes, systems, and applications across the enterprise before assuming his current role. Mr. Ruvalcaba earned a Bachelor of Science in Computer Engineering and Computer Science from Shepherd University.

 

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