Date: Sat, 06 Nov 2021 17:00:00 -0400
<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>The true power of artificial intelligence is its ability to work collaboratively with humans. Nate Joens co-founded Structurely to create a conversational AI platform that augments human sales teams to help guide potential customers through the initial steps of the funnel. In this episode he discusses the technical and social considerations that need to be combined for a seamless conversational experience and how he and his team are tackling the problem.</p> <h2>Announcements</h2> <ul> <li>Hello and welcome to Podcast.__init__, the podcast about Python’s role in data and science.</li> <li>When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. 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And don’t forget to thank them for their continued support of this show!</li> <li>Your host as usual is Tobias Macey and today I’m interviewing Nate Joens about his work at Structurely to build conversational AI utilities that augment human sales interactions</li> </ul> <h2>Interview</h2> <ul> <li>Introductions</li> <li>How did you get introduced to Python?</li> <li>Can you describe what Structurely is and the story behind it?</li> <li>What are the elements that comprise a "conversational AI"? <ul> <li>How is it distinct from the wave of chatbots that were popular in recent years?</li> <li>What lessons from that approach can we take forward into AI enabled conversational platforms?</li> </ul> </li> <li>How are you applying AI to the sales process? <ul> <li>How much domain expertise is necessary to make an effective and engaging conversational AI? (e.g. knowledge of sales techniques vs. knowledge of real estate, etc.)</li> </ul> </li> <li>Can you describe how you have designed the Structurely platform? <ul> <li>What are the biggest engineering challenges that you have had to work through? <ul> <li>What challenges or complexities have been most persistent?</li> </ul> </li> </ul> </li> <li>What are the design complexities that you have to work through to make the AI accessible for end users?</li> <li>What are some of the advancements in AI/NLP/transfer learning that have been most beneficial for teams building conversational AI?</li> <li>What are the signals that you emphasize when monitoring the performance of your models? <ul> <li>What is your approach for feeding real-world customer interactions back into your model development and training loop?</li> </ul> </li> <li>What are the most active areas of research in conversational AI applications and techniques?</li> <li>What are the most interesting, innovative, or unexpected ways that you have seen Structurely and/or conversational AI used?</li> <li>What are the most interesting, unexpected, or challenging lessons that you have learned while working on conversational AI at Structurely?</li> <li>When is conversational AI the wrong choice?</li> <li>What do you have planned for the future of Structurely?</li> </ul> <h2>Keep In Touch</h2> <ul> <li><a href="https://twitter.com/whonatejoens?lang=en&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">@whonatejoens</a> on Twitter</li> <li><a href="https://www.linkedin.com/in/nathanjoens/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">LinkedIn</a></li> </ul> <h2>Picks</h2> <ul> <li>Tobias <ul> <li><a href="https://www.vantage.sh/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Vantage</a> AWS Cost Management</li> </ul> </li> <li>Nate <ul> <li><a href="https://www.videoform.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">VideoForm</a></li> </ul> </li> </ul> <h2>Closing Announcements</h2> <ul> <li>Thank you for listening! Don’t forget to check out our other show, the <a href="https://www.dataengineeringpodcast.com?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Data Engineering Podcast</a> for the latest on modern data management.</li> <li>Visit the <a href="https://www.pythonpodcast.com?utm_source=rss&utm_medium=rss">site</a> to subscribe to the show, sign up for the mailing list, and read the show notes.</li> <li>If you’ve learned something or tried out a project from the show then tell us about it! Email <a href="mailto:hosts@podcastinit.com">hosts@podcastinit.com</a>) with your story.</li> <li>To help other people find the show please leave a review on <a href="https://itunes.apple.com/us/podcast/podcast.-init/id981834425?mt=2&uo=6&at=&ct=&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">iTunes</a> and tell your friends and co-workers</li> </ul> <h2>Links</h2> <ul> <li><a href="https://www.structurely.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Stucturely</a></li> <li><a href="https://en.wikipedia.org/wiki/Geographic_information_system?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">GIS</a></li> <li><a href="https://www.analyticsinsight.net/what-is-generative-ai-its-impacts-and-limitations/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Generative AI</a></li> <li><a href="https://en.wikipedia.org/wiki/GPT-3?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">GPT-3</a></li> <li><a href="https://en.wikipedia.org/wiki/Sankey_diagram?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Sanky Diagram</a></li> <li><a href="https://pytorch.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">PyTorch</a> <ul> <li><a href="https://www.pythonpodcast.com/pytorch-deep-learning-epsiode-202/?utm_source=rss&utm_medium=rss">Podcast Episode</a></li> </ul> </li> <li><a href="https://allenai.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Allen Institute for AI</a></li> <li><a href="https://en.wikipedia.org/wiki/F-score?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">F Score</a></li> <li><a href="https://www.snorkel.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Snorkel</a> <ul> <li><a href="https://www.dataengineeringpodcast.com/snorkel-with-alex-ratner-episode-15/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Podcast Episode</a></li> </ul> </li> <li><a href="https://paperswithcode.com/task/few-shot-learning?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Few-Shot Learning</a></li> <li><a href="https://en.wikipedia.org/wiki/Zero-shot_learning?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Zero Shot Learning</a></li> <li><a href="https://www.voxable.io/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Voxable</a></li> </ul> <p>The intro and outro music is from Requiem for a Fish <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">The Freak Fandango Orchestra</a> / <a href="http://creativecommons.org/licenses/by-sa/3.0/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">CC BY-SA</a></p> </div> <img alt="" height="0" src="https://analytics.boundlessnotions.com/piwik.php?idsite=1&rec=1&url=https%3A%2F%2Fwww.pythonpodcast.com%2Fstructurely-conversational-ai-sales-episode-339%2F&action_name=Building+Conversational+AI+to+Augment+Sales+Teams+at+Structurely+-+Episode+339&urlref=https%3A%2F%2Fwww.pythonpodcast.com%2Ffeed%2F&utm_source=rss&utm_medium=rss" style="border: 0; width: 0; height: 0;" width="0" />