685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake

<p>Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.<br/><br/>This episode is brought to you by <a href='https://posit.co/'>Posit</a>, the open-source data science company, by <a href='https://go.aws/3zWS0au'>AWS Inferentia</a>, and by <a href='https://withfeeling.ai/'>WithFeeling.ai</a>, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href='https://jonkrohn.com/podcast'>JonKrohn.com/podcast</a> for sponsorship information.<br/><br/>In this episode you will learn:<br/>• What is a Machine Learning Architect? [03:09]<br/>• Richmond&apos;s startups [12:07]<br/>• Why Richmond started a podcast [29:51]<br/>• Richmond&apos;s new course on feature stores [38:05]<br/>• Why Richmond produces data science content [43:25]<br/>• Why All Data Scientists Should Write [51:30]<br/><br/>Additional materials: <a href='https://www.superdatascience.com/685'>www.superdatascience.com/685</a></p>