# yetanalytics.com > AI-optimized mirror of yetanalytics.com containing 25 pages totalling 24,667 words of clean markdown content, structured data, and semantic HTML. Original source: https://yetanalytics.com/. Last updated: 2026-06-15T17:38:49.516Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [12 years](/content/site-root.html): The world's most complex organizations trust our open source software solutions for enterprise learning and training data. Experience xAPI., The world's most complex organizations trust our open source software solutions for enterprise learning and training data. Experience xAPI. (413 words) ## Articles & Blog Posts - [Ten Ways SQL LRS Turns xAPI Data Into AI-Ready Intelligence](/content/articles/ten-ways-sql-lrs-turns-xapi-data-into-ai-ready-intelligence.html): Many Learning Record Stores still treat xAPI as a storage format: collect statements, store them, display a dashboard. That was sufficient when reporting was the goal. But AI systems don’t need dashboards. They need clean signals, structured sequences, and verified outcomes., Many Learning Record Stores still treat xAPI as a storage format: collect statements, store them, display a dashboard. That was sufficient when reporting was the goal. But AI systems don’t need dashboards. They need clean signals, structured sequences, and verified outcomes. (1,361 words) - [From Job Descriptions to Task Portfolios](/content/articles/from-job-descriptions-to-task-portfolios/index.html): A modular blueprint for early‑career resilience and organizational talent optimization in the wake of AI, A modular blueprint for early‑career resilience and organizational talent optimization in the wake of AI (1,965 words) - [SQL LRS Is Widely Adopted. Now Let’s Talk About What That Means.](/content/articles/sql-lrs-is-widely-adopted-now-lets-talk-about-what-that-means.html): Many organizations today are running SQL LRS in production environments. That means it is collecting and processing mission-critical data, feeding downstream analytics and reporting systems, and supporting compliance, certification, and operational decision-making. In other words, SQL LRS is not a s, Many organizations today are running SQL LRS in production environments. That means it is collecting and processing mission-critical data, feeding downstream analytics and reporting systems, and supporting compliance, certification, and operational decision-making. In other words, SQL LRS is not a side tool. It is part of the system of record. At the same time, many of these deployments are operating without a formal support relationship. That creates a gap. And it’s one that’s easy to overlook until it matters. (1,203 words) - [Free Is Not Free: The Hidden Cost of “Free” Infrastructure](/content/articles/free-is-not-free-the-hidden-cost-of-free-infrastructure.html): Entire ecosystems of modern software now advertise free tiers as the starting point for adoption. For experimentation and early development, these offerings can be incredibly useful. They lower barriers, encourage exploration, and help teams get projects off the ground quickly. But there is a subtl, Entire ecosystems of modern software now advertise free tiers as the starting point for adoption. For experimentation and early development, these offerings can be incredibly useful. They lower barriers, encourage exploration, and help teams get projects off the ground quickly. But there is a subtle shift that happens as systems mature. What begins as a convenient free tool can gradually become something far more significant: the place where an organization’s data lives . At that point, the economics of “free” start to look very different. Because infrastructure—real infrastructure—has never actually been free. (1,477 words) - [INFERable: Leveraging xAPI to power AI Inference from Learning Activity Data](/content/articles/inferable-leveraging-xapi-to-power-ai-inference-from-learning-activity-data.html): Imagine connecting xAPI instrumentation with real-time AI inference. INFERable is doing it. And they are helping organizations move from capturing learning activity to optimizing learning performance., Imagine connecting xAPI instrumentation with real-time AI inference. INFERable is doing it. And they are helping organizations move from capturing learning activity to optimizing learning performance. (709 words) - [SQL LRS and the Future of Learning Data: From Storage to Intelligence](/content/articles/sql-lrs-and-the-future-of-learning-data-from-storage-to-intelligence.html): We are now operating in an AI-driven landscape where raw activity data is no longer sufficient. Logging events is easy. Extracting meaning is hard. Machine learning systems don’t need more noise—they need: Structured signals Verified outcomes Aggregated performance Deterministic logic , We are now operating in an AI-driven landscape where raw activity data is no longer sufficient. Logging events is easy. Extracting meaning is hard. Machine learning systems don’t need more noise—they need: Structured signals Verified outcomes Aggregated performance Deterministic logic In other words, they need preprocessed intelligence . SQL LRS is designed to deliver exactly that. (702 words) - [Why Your Learning Data Is Not Ready for AI (and how Learning Engineering can solve this)](/content/articles/index.html): Today’s fastest scaling organizations deserve today’s most scalable data solutions., Today’s fastest scaling organizations deserve today’s most scalable data solutions. (1,599 words) - [From LMS Lock-In to Enterprise Analytics: Unlocking Partner Training Data with SQL LRS and LRSPipe](/content/articles/from-lms-lock-in-to-enterprise-analytics-unlocking-partner-training-data-with-sql-lrs-and-lrspipe.html): A few years ago, big LMSs started shipping with the availability of their own internal Learning Record Stores. But more often than not, this only resulted in more frustration. Because even when the LMS captured rich activity data using xAPI, the data remained locked inside the system’s built-in LRS., A few years ago, big LMSs started shipping with the availability of their own internal Learning Record Stores. But more often than not, this only resulted in more frustration. Because even when the LMS captured rich activity data using xAPI, the data remained locked inside the system’s built-in LRS. Just getting access to your own data became an endless game of phone-tag. So, while the training data exists, businesses can't easily use it. This is where LRSPipe and SQL LRS provide a powerful solution. (1,134 words) - [What is SQL LRS and Why Does Your Organization Need It?](/content/articles/what-is-sql-lrs/index.html): Enterprise learning organizations are increasingly looking to harness the power of learning data to improve training, performance, and decision making. But with the vast amounts of learning activity data being generated across various platforms and systems, managing and analyzing that data can quick, Enterprise learning organizations are increasingly looking to harness the power of learning data to improve training, performance, and decision making. But with the vast amounts of learning activity data being generated across various platforms and systems, managing and analyzing that data can quickly become overwhelming. This is where SQL LRS comes in. (1,011 words) - [A Decade of AI in xAPI: Building, Not Chasing](/content/articles/a-decade-of-ai-in-xapi-building-not-chasing/index.html): For the team at Yet Analytics, AI in the xAPI ecosystem isn’t a recent addition or a repositioning. It’s been a continuous line of inquiry, development, and application that stretches back more than a decade. We’ve been instrumenting AI systems well before the current moment made “AI-powered” a defa, For the team at Yet Analytics, AI in the xAPI ecosystem isn’t a recent addition or a repositioning. It’s been a continuous line of inquiry, development, and application that stretches back more than a decade. We’ve been instrumenting AI systems well before the current moment made “AI-powered” a default descriptor. (1,340 words) - [Let’s Get Real About xAPI](/content/articles/lets-get-real-about-xapi/index.html): If you’ve spent any time in the learning technology space, you’ve probably encountered xAPI — and you’ve probably also heard someone struggle to explain why it matters., If you’ve spent any time in the learning technology space, you’ve probably encountered xAPI — and you’ve probably also heard someone struggle to explain why it matters. (872 words) - [Why Your Learning Data Is Not Ready for AI (and how Learning Engineering can solve this)](/content/articles/why-your-learning-data-is-not-ready-for-ai/index.html): Every organization is talking about AI. But the uncomfortable truth is that most learning data is not ready for AI., Every organization is talking about AI. But the uncomfortable truth is that most learning data is not ready for AI. (1,358 words) - [Turn Learning Data Into a Strategic Asset](/content/articles/turn-learning-data-into-a-strategic-asset/index.html): Organizations are investing heavily in learning technologies, including LMSs and LXPs, simulations, AI-enabled platforms, immersive environments, and more. The expectation is clear: better training, better performance, better outcomes. But there’s a problem. Despite this investment, most organizat, Organizations are investing heavily in learning technologies, including LMSs and LXPs, simulations, AI-enabled platforms, immersive environments, and more. The expectation is clear: better training, better performance, better outcomes. But there’s a problem. Despite this investment, most organizations still struggle to answer basic questions about their learning systems. (1,261 words) - [Why xAPI Is a High-Value Data Format for AI in Learning](/content/articles/why-xapi-is-a-high-value-data-format-for-ai-in-learning.html): Most AI initiatives in learning focus on surface-level capabilities. Few focus on data foundations. But AI doesn’t magically create insight. It amplifies whatever data architecture you give it. If your activity data is fragmented, mutable, and loosely defined, AI will amplify that chaos. If your, Most AI initiatives in learning focus on surface-level capabilities. Few focus on data foundations. But AI doesn’t magically create insight. It amplifies whatever data architecture you give it. If your activity data is fragmented, mutable, and loosely defined, AI will amplify that chaos. If your activity data is: Structured Deterministic Immutable Standardized AI can become a durable, scalable capability. That’s where xAPI shines. (710 words) - [Mixta.ai and the Rise of 4th Generation Simulation Platforms](/content/articles/mixtaai-and-the-rise-of-4th-generation-simulation-platforms.html): Simulation has always been one of the most powerful tools in learning and workforce development. But not all simulations are created equal., Simulation has always been one of the most powerful tools in learning and workforce development. But not all simulations are created equal. (649 words) - [Why Your Learning Data Is Not Ready for AI (and how Learning Engineering can solve this)](/content/sitemap-xml.html) (3,181 words) - [Yet Analytics’ solution now available through the Department of Defense CDAO’s Tradewinds Solutions Marketplace - SBIR Aisle](/content/articles/tradewinds/index.html): Yet Analytics, a leading provider of enterprise learning data software solutions today announced that its solutions package for the Total Learning Architecture is now available through the SBIR Aisle program from the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Mark, Yet Analytics, a leading provider of enterprise learning data software solutions today announced that its solutions package for the Total Learning Architecture is now available through the SBIR Aisle program from the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace. (561 words) - [Three Ways Mixta Changes the Game for Simulation](/content/articles/three-ways-mixta-changes-the-game-for-simulation/index.html): Mixta is one of the few things that actually feels like a step forward, not because it adds AI to simulation, but because it changes what simulation is., Mixta is one of the few things that actually feels like a step forward, not because it adds AI to simulation, but because it changes what simulation is. (474 words) - [Let’s talk about Yet’s xAPI Advisory Services — for XR Learning Companies](/content/articles/xr/index.html): XR is a perfect use case for xAPI. Because most events that occur within an XR learning experience are activity-based, it’s easy to instrument an XR system to produce activity data aligned with xAPI. And because so much of the interesting information about learning that occurs in XR is behavioral an, XR is a perfect use case for xAPI. Because most events that occur within an XR learning experience are activity-based, it’s easy to instrument an XR system to produce activity data aligned with xAPI. And because so much of the interesting information about learning that occurs in XR is behavioral and experiential, xAPI’s semantic data model — purpose-built for activities that occur during learning — is both a clear fit and a natural value-add. (468 words) - [Two Game-Changing AI Advantages of SQL LRS](/content/articles/two-game-changing-ai-advantages-of-sql-lrs/index.html): For organizations working with learning and performance data, the biggest barrier to using AI effectively is rarely the models themselves—it’s the friction between data collection, transformation, and usable features. This is where SQL LRS creates a significant advantage., For organizations working with learning and performance data, the biggest barrier to using AI effectively is rarely the models themselves—it’s the friction between data collection, transformation, and usable features. This is where SQL LRS creates a significant advantage. (695 words) - [Pro Tip: Automating Pre-Requisite Checks and Course Eligibility with SQL LRS Reactions](/content/articles/pro-tip-automating-pre-requisite-checks-and-course-eligibility-with-sql-lrs-reactions.html): Did you know that you can use Reactions in SQL LRS to automate pre-requisite checks and course eligibility?, Did you know that you can use Reactions in SQL LRS to automate pre-requisite checks and course eligibility? (387 words) - [Meet Mixta: AI-Powered Simulation Built through Learning Engineering](/content/articles/meet-mixta-ai-powered-simulation-has-arrived/index.html): Mixta is one of the most compelling advances in simulation for the learning space that we’ve seen. It was designed by learning scientists and was developed through a learning engineering mindset. We think that by this time next year, it will be the most commonly used simulation platform in the learn, Mixta is one of the most compelling advances in simulation for the learning space that we’ve seen. It was designed by learning scientists and was developed through a learning engineering mindset. We think that by this time next year, it will be the most commonly used simulation platform in the learning and training space. (496 words) - [Build Capable and Yet Analytics Announce Partnership to Bring Learning into the AI Age… Without the LMS](/content/articles/build-capable-and-yet-analytics-announce-partnership-to-bring-learning-into-the-ai-age-without-the-lms.html): Build Capable and Yet Analytics have announced a new partnership aimed at helping organizations design, deliver, and scale learning in the AI era without relying on a traditional Learning Management System (LMS)., Build Capable and Yet Analytics have announced a new partnership aimed at helping organizations design, deliver, and scale learning in the AI era without relying on a traditional Learning Management System (LMS). (345 words) - [What If Your Case Studies Could Talk Back?](/content/articles/what-if-your-case-studies-could-talk-back/index.html): We’re opening up a new opportunity to explore AI-powered simulations to a small group of higher ed instructors. Participants will get 90 days of access to the Mixta authoring platform, along with a strategy session led by a learning scientist. The goal is simple: build and run a simulation in a real, We’re opening up a new opportunity to explore AI-powered simulations to a small group of higher ed instructors. Participants will get 90 days of access to the Mixta authoring platform, along with a strategy session led by a learning scientist. The goal is simple: build and run a simulation in a real course. (296 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives