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A Better Way To Control Process Quality

Gary Mintchell

Machine Learning works better today because we have ten years of improved data infrastructure along with much statistical modeling thanks to such initiatives as Six Sigma. Trust in “artificial intelligence” or machine learning models is hard to build because it is almost always a “black box.”

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Garbage in. is Garbage Out. Why Data Quality must be a #1 C-suite focus in the Age of AI

Quantis

To win in the age of Artificial Intelligence, Data Quality must become the #1 Imperative for every C-suite leader & Board Director. As a former Six Sigma Black Belt, I can appreciate their focus on quality. No matter how much you invest. you won't get an ROI on AI-driven investments without clean data.

Beverage 130
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Echoes of Innovation

Dinesh Mishra

Artificial Intelligence (AI) and Machine Learning (ML): AI and ML algorithms optimize production processes, improve quality control, and enable predictive analytics, leading to enhanced automation, reduced downtime, and data-driven decision-making.

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Business Success Demands Strong Project Management: Leveraging AI, Zoho’s New Project Plus Provides Strong Benefits

Frost & Sullivan Manufacturing

Artificial Intelligence : Automating and providing data-driven insights to improve decision-making and overall project management decisions. Hybrid Project Management : Allowing project managers to use various project management methodologies (Agile, Scrum, Six Sigma, Waterfall, among others).

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Business Success Demands Strong Project Management: Leveraging AI, Zoho’s New Project Plus Provides Strong Benefits

Frost & Sullivan Manufacturing

Artificial Intelligence : Automating and providing data-driven insights to improve decision-making and overall project management decisions. Hybrid Project Management : Allowing project managers to use various project management methodologies (Agile, Scrum, Six Sigma, Waterfall, among others).