New Roles and Key Skills to Monetize Machine Learning
I cover the most frequently asked questions about breaking into the field, monetizing machine learning, and the new roles emerging to support machine learning in the business.
Preparing the Unprepared - 'Toxicity in the hiring process'
There is a toxicity to the hiring process. It is a reflection of the team’s culture. Most of the barriers to profitable machine learning come from toxic teams.
I hope senior leaders see this because change must come from the top. Clean house and you will see productivity rise. Open teams want to collaborate with the rest of the business. They want to build products not just proofs of concept. Their sense of satisfaction comes from seeing the positive impacts of what they create.
Fixing Machine Learning as a Field and Within the Business
I talk with Harpreet Sahota on The Artists of Data Science Podcast. We discussed how to make yourself a better data scientists and how to build more value for the business.
Path to Production and Monetizing Machine Learning
In this talk, I covered a framework specific to Machine Learning products. I discussed the improvements businesses can expect to see from a repeatable process. I also covered the concept of monetization and integrating machine learning into the business model.
Data Transformers - Monetizing Machine Learning
In this talk, I covered consulting with organizational leaders to use Machine Learning strategically with a common vision, influencing the broader community using social media to make them more data science aware, and delivering decision support products/services to accelerate ML adoption.
SoLeadSaturday - Careers in Data Science
In this talk, I discuss my career path into the field and how aspiring data scientists can find their own way into their first role.