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Machine Learning works better today because we have ten years of improved data infrastructure along with much statistical modeling thanks to such initiatives as SixSigma. Trust in “artificialintelligence” or machine learning models is hard to build because it is almost always a “black box.”
To win in the age of ArtificialIntelligence, Data Quality must become the #1 Imperative for every C-suite leader & Board Director. As a former SixSigma 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.
ArtificialIntelligence (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.
ArtificialIntelligence : 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, SixSigma, Waterfall, among others).
ArtificialIntelligence : 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, SixSigma, Waterfall, among others).
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