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Last updated on Sep 13, 2024

Your team is struggling to communicate with machine learning experts. How can you bridge the gap effectively?

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William Parwoto Wirono

Senior Decision Scientist at Aimpoint Digital | Decision Sciences, Mathematical Modeling

When team collaboration hits a snag due to technical jargon, try these tactics:

Learn the basics: Acquire a foundational understanding of machine learning concepts.

Use analogies: Translate complex ideas into familiar scenarios.

Facilitate workshops: Regular cross-disciplinary sessions can improve mutual understanding.

How have you overcome communication barriers in your team?

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William Parwoto Wirono

Senior Decision Scientist at Aimpoint Digital | Decision Sciences, Mathematical Modeling
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Focus on aligning around shared goals, fostering collaboration, and improving communication. Start by emphasizing common objectives, such as optimizing decision-making and solving business problems, which both fields aim to achieve. Encourage cross-disciplinary learning by offering opportunities for team members to understand each other’s key concepts—OR experts can learn basic ML principles like model interpretability, while ML experts can grasp OR techniques like MILP. Additionally, steer discussions toward solving real-world challenges, highlighting how OR and ML can complement each other, rather than focusing solely on tools or methodologies. This creates a collaborative environment that drives results.

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