AoF 51: How to Market Machine Learning to Execs w/ Kristen Kehrer

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Does data move you? Then this BI master class is for you. Business Coach Lillian Pierson and myself, 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 PPT Template - Effectively communicate and market machine learning (ML) models to executives.
  • Kristen on Extra Step - Quality assurance (QA)and substantive storytelling matters.
  • Kristen on Time - Allocate enough time to learn this repeatable and scalable process.

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.
  • [17:07]  - What is ML? Define a business problem that may be solved using statistical models or algorithms to make predictions or quantify relationships of specific variables.
  • [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.
  • [27:40]  - How to market ML? Involves analysis/work, repeatable skills, asking questions.
  • [41:02]  - 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:

  • Listen to our other Podcasts:
  • Register for upcoming BI Data Storytelling (BIDS) Accelerator Workshops

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BI Data Storytelling Accelerator

3-Day Intense Workshop with Mico and team!  Sept 14-16, 2020

Mico Yuk

Mico Yuk

As the Co-founder and CEO of BI Brainz, I've been in the Business Intelligence/Analytics industry since 2017. Trained 10K+ using our methodologies and frameworks! I love our amazing team and community! I share my passion for data to 20,000+ followers via the Analytics on Fire Podcast, our BI Brainz academy, blog, social media, global keynotes, training, and workshops. Our model is simple. We take what is successful for our customers and teach it! I'm a bona fide beach bum on days off!
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Real customers. Real stories. Real success.

Analytics on Fire is your BI masterclass. By learning from people like you, who have done extraordinary things, you will leave excited, inspired and with a plan. You’ll learn about business intelligence, analytics, design, data visualization, data storytelling, artificial intelligence, and much more. Tune in for the latest stories!

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