--- title: "How UX Research Helps Solve User Pain Points" newsletter: "MLOps Community" date: 2024-11-14 source: https://aaif.live/newsletters/mlopscommunity/2024-11-14-how-ux-research-helps-solve-user-pain-points --- # How UX Research Helps Solve User Pain Points *Plus, cost saving mini summit, signaling insights, rating Gemini 1.5 Flash, depolying in multiple clouds, enhancing storage, and the next reading group.* *MLOps Community — Agentic AI Foundation, 2024-11-14* https://go.mlops.community/v5m0zg Just because the conference is over, and just like VCs, it doesn't mean we're finished with agents! Mark your calendar for Nov 20 - I’ll be going live on LinkedIn with Madhukar Kumar to walk through building an AI agent with SingleStore and multi-agent RAG systems. We’ll cover practical tips on real-time data integration, data management, boosting processing speed, and scaling effectively. Register here [https://go.mlops.community/v5m0zg] We've also made some tweaks based on feedback - it's still a work in progress, so feel free to share more thoughts with us here [https://go.mlops.community/ynvt58]. ## The Impact of UX Research in the AI Space The Impact of UX Research in the AI Space Lauren Kaplan - Sr UX Researcher @ Stealth How can you make sure your user experience isn’t as painful as typing on a TV remote? Laura shared valuable insights from her UX work at Meta, discussing how UX research uncovers user pain points, the importance of cross-functional collaboration, and how phased, structured research improves decision-making. Give it a listen - it's definitely a good user experience! 🗝️ KEY TOPICS COVERED 1. UX Research 2. Stakeholder Collaboration 3. User Pain Points 4. Data Analysis 5. Developer Experience ## Productionalizing AI: Driving Innovation with Cost-Effective Strategies Productionalizing AI: Driving Innovation with Cost-Effective Strategies Scott Perry - Principal Solutions Architect, Annapurna ML @ AWS Eddie Mattia - Data Scientist @ Outerbounds Scott Perry - AWS Eddie Mattia - Outerbounds ## 🗝️ KEY TOPICS Sometimes the only thing that actually scales is your costs, not your model. This event explored ways to scale large model training efficiently, highlighting a streamlined setup using open-source tools and custom ML chips. Click below to scale your knowledge! 🗝️ KEY TOPICS 1. Model scaling 2. Compute efficiency 3. Distributed training 4. Resource management 5. Cost optimization ## Hidden Gems ## Signal And Sign // Signal And Sign // Gem [https://go.mlops.community/n7re0a] // Song [https://go.mlops.community/m8v4c3] A podcast featuring Michael Jordan, Andrew Gelman, and Chiara Farronato, High Signal covers DS, ML, and AI. Hosted by friend of the Community Hugo Bowne-Anderson and produced by Delphina, it offers career insights from renowned experts in data and AI. Flash // Gem [https://go.mlops.community/nv3z4c] // Song [https://go.mlops.community/mgpo31] An in-depth evaluation of Google's Gemini 1.5 Flash model, assessing its compliance with the EU AI Act, with focus areas including robustness, cybersecurity, transparency, and regulatory adherence. Branch Out // Gem [https://go.mlops.community/96jh0u] // Song [https://go.mlops.community/uykypm] A look at deploying apps to multiple cloud environments, with a focus on effective branching strategies and outlining steps for managing versions and configurations across environments. Storage // Gem [https://go.mlops.community/u7b2am] // Song [https://go.mlops.community/y9t2i7] An article introducing AIStor, MinIO's latest release, enhances object storage capabilities for AI/ML workloads by implementing chipset optimizations and efficient Go-based features. ## Inference Scaling for Long-Context RAG Inference Scaling for Long-Context RAG Thursday, November 21 4:00 PM - 5:00 PM UTC Join us for the next MLOps Community Reading Group session, where we’ll be discussing Inference Scaling for Long-Context RAG [https://go.mlops.community/hq7df8]. Our moderators will break down the key concepts, followed by an open discussion where everyone can share their thoughts. This is a great opportunity to learn more about MLOps and connect with others in the field, whether you’re an expert or just getting started. Join our Slack workspace [https://go.mlops.community/rz6z92] and engage in the #reading-group channel. Register here [https://go.mlops.community/facdtp] [Inference Scaling for Long-Context RAG](https://go.mlops.community/hq7df8) ## Job of the Week [https://go.mlops.community/4tvf9b](https://go.mlops.community/4tvf9b) Interested in partnering with us? Get in touch: partners@mlops.community Thanks for reading. See you in Slack [https://go.mlops.community/slack], YouTube [https://www.youtube.com/channel/UCG6qpjVnBTTT8wLGBygANOQ?view_as=subscriber], and podcast [https://home.mlops.community/public/content/] land. Oh yeah, and we are also on X [https://twitter.com/mlopscommunity] and LinkedIn [https://go.mlops.community/linkedin]. The MLOps Community newsletter is edited by Jessica Rudd [https://www.linkedin.com/in/jmrudd/]. --- Source: https://aaif.live/newsletters/mlopscommunity/2024-11-14-how-ux-research-helps-solve-user-pain-points