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And they were all announced in a blog, which we will link below.īut overall, it's really how easy they've made to collect the data from the integration sources, like wherever your data is sitting, like in BigQuery or in other external platforms, and then do analysis on it to provide recommendations. There's been a lot of dates made to recommendations AI. And the first one was around retail and online shopping, which is the recommendations AI. One is really watching the AI and ML announcements.

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So we have lots of announcements to watch for.

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But before we do any of that, why don't we do our cool things of the week?Īs you know, that next OnAir is in full swing right now. And of course, after that, we're going to have a great tip from our friend Dale Markowitz about bootstrapping some machine learning projects- or I should say, prototyping with machine learning. Oh, well, you know what, we'll get into that in the interview. And we get to learn a lot and think about- I don't know if people have experience with Solr. We are going to be talking to Radu Miclaus from Lucidworks about their Fusion platform and custom search. First things first though, Priyanka, can you tell us who we're going to be talking to? And of course, we have a great episode today. Priyanka has been working on GCP Comics and Sketchnote.Īlways exciting to work with you. You can also hear more from Dale in GCP Podcast Episode 214: AI in Healthcare with Dale Markowitz and GCP Podcast Episode 194: ML with Dale Markowitz. We’re talking to Dale Markowitz about Prototyping Machine Learning projects. GCP Podcast Episode 195: Conversational AI Best Practices with Cathy Pearl and Jessica Dene Earley-Cha podcast.GCP Podcast Episode 188: Conversation AI with Priyanka Vergadia podcast.GCP Podcast Episode 227: Pandium with Cristina Flaschen and Kelly Sarabyn podcast.Webinar: Smart Answers for Employee and Customer Support After COVID-19 site.GCP Podcast Episode 217: Cost Optimization with Justin Lerma and Pathik Sharma podcast.Giving you better cost analytics capabilities-and a simpler invoice blog.Optimizing your costs on Compute Engine video.

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Using new traffic control features in External HTTP(S) load balancer blog.Online shopping gets more personal with Recommendations AI blog.Week 2 sessions on productivity and collaboration site.At Lucidworks, Radu focuses on low-code AI for search developers, pluggable machine learning for data scientists, and cloud managed services that offload the burden of operating search applications. Radu has over 12 years of experience in the data science space with applications in general machine learning architecture, search, customer analytics, risk and financial analysis.

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In the future, Lucidworks will be available right in the GCP marketplace! Radu Miclaus Radu wraps up the show with interesting use-case stories and how Fusion is working in the real world. We also learn about the customization capabilities and integration of Smart Answers. Radu goes into detail explaining the Smart Answers system and how the layers of the project work together. The team also created Smart Answers, which is a Q-And-A system built on a search engine that can connect to chatbots, virtual assistants, and others. The engineers at Lucidworks have created Fusion-specific system-enhancing pieces as well, including a machine learning service that allows data scientists to train their models elsewhere and plug them in for a completely customized experience. On the tech side, Fusion was built with a combination of Java, Kubernetes to increase scalability, Solr management tools, and logging and reporting tools. With Fusion, developers can take advantage of the highly advanced relevance tuning tools such as query rewrites, which analyze user behavior and automatically rewrite queries based on that information. Building off Solr, Lucidworks created Fusion, an environment more conducive to easy AI-enhanced query capabilities, better scalability, and more. Lucidworks, a company specializing in information retrieval, strives to make data searching easier for developers and users. Mark Mirchandani is joined again by Priyanka Vergadia this week for an ML-filled interview with Radu Miclaus of Lucidworks.















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