Communication breakdown: Facing machine learning’s all-too-human failure
Who is this presentation for?Business and technical leaders who need to communicate with each other on machine learning projects.
Miscommunication between business leaders and technical experts can doom even the best data science project. Don’t let it drive you insane! In this session, we’ll dissect many flavors of communication failure, from goal misalignment to machine learning misunderstanding. Then, we’ll explore practical ways to bridge these gaps.
- Experience with the business realities of machine learning projects may be useful, but is not required.
What you'll learn
You’ll understand business-technical communication gaps like:
- Communicating The Definition of Success
- Communicating the Value of Machine Learning
- Communicating to the Right People
- Communicating the Timeline
- Communicating Progress
- Communicating Technical Concepts to Non-Technical People
Then, you’ll explore practical solutions including on-site communication training and business-focused client interviews.
James Kotecki is the Director of Marketing and Communications for Infinia ML, a machine learning company helping enterprise firms deploy data science to automate complex challenges.
James is the former Head of Communications for Automated Insights, where he helped an international audience understand the concepts of natural language generation. He later started his own firm to help technology marketers tell customer stories.
As a professional content creator for over a decade, he’s worked with brands including YouTube, Politico, Business Insider, LinkedIn, and DHL. He’s spoken about customer storytelling from North Carolina to South Korea, and you can see his on-camera interviews with leading executives every year at the CES electronics trade show.
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