Jake Moskowitz and his guests explore algorithm training and the importance of good training data and practices in AI-powered marketing solutions.
We might say an algorithm is good or bad, but in reality, an AI algorithm is either well-trained or not well-trained. Just like a dog.
You don’t need to be a professional dog trainer to have a dog as a copilot, and you don’t need to be a professional algorithm trainer to have an algorithm as a copilot. But it sure helps to understand how they think and how they learn. Understanding how algorithms are trained can help marketers understand how algorithms think, how they work and whether or not a particular AI solution is a good choice for specific marketing purposes.
Hear from industry experts and thought leaders:
- Charlie Archibald, VP of Data Science at MediaMath
- Kyra Sundance, Nationally renowned dog trainer, best-selling author and performer
- Jeremy Lockhorn, Global Head of Partner Solutions at Ericsson Emodo, speaker, mobile marketing expert.
- Dog training expert, Kyra Sundance helps Jake compare algorithm training to dog training.
Charlie Archibald, VP of Data Science at MediaMath, shares thoughts on how to evaluate AI-powered marketing tools, misconceptions about AI in marketing and key factors that come into play when training an algorithm.
Jake and Jeremy Lockhorn call on marketing colleague Lyon Solntsev to help them look for truth and meaning in vendor marketing claims.
The Five List
Five tips for training an AI algorithm (it’s a lot like training a dog).
- Training diversity rules out false patterns.
- Train one trick at a time.
- Training is never done
- Positive reinforcement
- The training has to be consistent
In this episode, Jake references the new book by Kyra Sundance, bestselling Author of “101 Dog Tricks.” Kyra’s new book is “The joy of dog training.”
The Five podcast is presented by Ericsson Emodo and the Emodo Institute, and features original music by Dyaphonic and the Small Town Symphonette. Social media and promotional content was composed and conducted by Lyon Solntsev. This episode was edited by Justin Newton and produced by Robert Haskitt, Liz Wynnemer, and Jake Moskowitz.