You're leading a complex ML project. How do you get stakeholders to grasp the realistic timeline?
Managing a complex machine learning (ML) project requires not only technical expertise but also clear communication with stakeholders about what the project entails and how long it will take. As you lead such a project, one of your key responsibilities is to set realistic expectations for the timeline. This involves understanding the intricacies of machine learning development and being able to translate that into a language that stakeholders, who may not be as technically versed, can understand.
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Pradeep SanyalAI & Data Leader | AI Strategy Executive | Generative AI Business Solutions | Experienced CIO & CTO | Top CIO, AI, ML…
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Somprasad TheegalaLead Data Scientist | VP @ NatWest Group | Data Science, Analytics | IIMA | CBIT
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Marco NarcisiCEO | Founder | AI Developer at AIFlow.ml & EvEpredict.ai | Google and IBM Certified AI Specialist | LinkedIn AI and…