#174 Building An MLOps Ecosystem with Ivan Liu, Director of Engineering at Rokt

<p>Machine learning helps individuals and businesses deploy solutions that unlock previously untapped sources of revenue, save time, and reduce cost by creating more efficient workflows, leveraging data analytics for decision-making, and improving customer experience.</p> <p>These goals are hard to accomplish without a solid framework to follow.</p> <p>Getting machine learning models to production is notoriously difficult: it involves multiple teams (data scientists, data and machine learning engineers, operations, …); the model can be trained in one environment but then productionalised in a completely different environment; it is not just about the code, but also about the data (features) and the model itself.</p> <p>When it comes to MLOps, no one tool can do it all. It takes an array of best-of-breed tools to truly automate the entire ML lifecycle.</p> <p>This week, we are joined by Ivan Liu. Director of Engineering at Rokt. He specialised in software engineering, machine learning and cloud architecture.</p> <p>Tune in for the full conversation where Ivan talks about ML ops and ML Engineering.</p> <p>Enjoy the show!</p> <p>Thanks to our sponsor <a href="http://talentinsights.com.au/">Talent Insights Group!</a></p> <p>Read the full podcast episode summary <a href="//www.datafuturology.com/podcast/174-building-an-mlops-ecosystem-with-ivan-liu-director-of-engineering-at-rokt-e1bd455">here</a>.</p> --- Send in a voice message: https://anchor.fm/datafuturology/message