Does data move you? Then, add AI to BI by taking a master class with three leading ladies in the industry.
Business Coach Lillian Pierson and myself, Mico Yuk, welcome Kristen Kehrer, a data scientist and founder of Data Moves Me. Today’s discussion focuses on how to communicate and market machine learning (ML) to executives and decision-makers.
“In machine learning, there is a whole lot that we can do in terms of predictions, classification, and understanding our variables that a simple analysis doesn’t provide.” Kristen Kehrer [18:04]
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3 Knowledge Bombs
- Kristen on Ultimate Machine Learning (ML) Outline - Discover how to effectively communicate and market ML models to executives by using her free PPT template.
- Kristen on Extra Steps - Quality assurance (QA) and substantive storytelling matters when meeting with key decision-makers and what they truly want to know.
- Kristen on Time Allocation - Dedicate enough time to learn her repeatable and scalable process to convey the correct information depending on the decision-makers.
In this episode, you'll learn:
- [02:30] - Extra Step: Why quality assurance (QA) and substantive storytelling matters.
- [03:16] - Key Quote: Data scientists are brilliant, but I see a lot of struggle with how to communicate that brilliance.-Mico Yuk
- [07:50] - Kristen and Company: Working together to communicate and transform ML marketing and storytelling.
- [15:40] - Bottom Line: ML shoptalk with executives translates value of ML predictions and outputs.
- [16:17] - Executive Level: Big picture, size of opportunity, and what’s actionable.
- [18:43] - What’s the difference between talking ML to executives and data scientists?
- [22:18] - Communication Education: Post-analysis work and what matters to executives.
- [23:26] - Cross-functional Confusion: Blank stares and ineffective language to engaging and fun communication.
- [26:54] - Key Quote: If I’m working on something really cool, it’s really nice to have people to talk to about it. I’m so grateful that there’s such a data science community now. - Kristen Kehrer
- [27:40] - How to market ML? Involves analysis/work, repeatable skills, asking questions.
- [31:14] - Slide deck Agenda: Typical template flow includes executive summary, problem statement, ML model, and results using content and visuals.
- [41:02] - Avoid Information Overload: What’s next? What’s the impact?
- [44:55] - Computer Science vs. Corporate Analytics: Data is where it’s at.
- [46:20] - COVID-19 Pandemic Perspective: How do I best have an impact, utilize my skills, and create the working environment that I want for myself?
- [48:13] - Women in Data Science: What it looks like to be on male-dominated tech team?
- Right-click here and save-as to download this episode to your computer.
“If I could save others from giving really painful presentations...” Kristen Kehrer [25:04]
Links and Resources mentioned in this episode:
- Check out Kristen's website Data Moves Me
- Download Kristen Kehrer’s Ultimate ML Outline (Free template) by visiting 'Units' in our BI Data Storytelling Mastery Facebook Group
- Kristen recommend reading Weapons of Math Destruction by Cathy O’Neil
- Check out the Youtube video Kristen mentioned by Scott Taylor - The Data Whisperer
- Register for upcoming BI Data Storytelling (BIDS) Accelerator Workshops
Enjoyed the Show?
- Reviews on iTunes are extremely helpful and greatly appreciated! We read each and every one of them!
- Join the conversation by leaving a comment below!
