Blueteam AI

??? Ever wondered how enterprises actually navigate their AI journey? Just published a deep dive analyzing two distinct paths organizations take when adopting AI: the security-driven route vs. the capability-driven approach. What we've learned from helping our customers with AI: - The journey often starts with public AI tools, but where you end up depends entirely on your unique needs - Not everyone needs developer-grade AI tools - Many companies find their sweet spot with private knowledge worker solutions Most interesting insight? The 'final destination' isn't always what organizations initially envision. With the breakneck pace of innovation, staying agile and responding to changes is the key to success. Read the full analysis here: https://lnkd.in/gdRMg3Wp What's your take? Has your organization's AI journey followed either of these paths, or are you charting a different course altogether? #EnterpriseAI #DigitalTransformation #AIStrategy #TechLeadership

The value of persisting AI usage data include: understanding user behavior and data needs, developing new apps, identifying areas for AI model improvements in accuracy and performance, and compliance. Not to mention red teaming, bias analysis, and workforce transformation planning! #AIstrategy #AIOps #DataPersistence #PenetrationTesting #AISafety

The parallels between Bluesky's rapid growth and enterprise AI adoption are striking. As users flock to decentralized social platforms seeking more control, organizations similarly want sovereignty over their AI infrastructure. Great analysis from our CEO John Wyss on this emerging trend. #EnterpriseAI #FutureOfTech

?? Missed our recent webinar on deploying private LLMs on Azure? The recording is now available! Join Feynman Liang, CTO of Blueteam AI, as he demonstrates how to run open source AI models privately in Azure using a production-grade reference implementation. Learn how to: ? Deploy Ollama and Open WebUI on AKS using infrastructure-as-code ? Set up secure, compliant AI infrastructure with OpenTofu and Kubernetes ? Implement enterprise-grade architectural patterns for AI workloads ? Scale and manage open source AI infrastructure effectively Feynman brings his expertise from his time as a Facebook Research Scientist and his Statistics PhD from UC Berkeley to show you actionable patterns you can start using today. Watch now: https://lnkd.in/gkCRUw6T #Azure #ArtificialIntelligence #CloudComputing #OpenSource #LLM #Kubernetes #TechTalks

A useful tip for reducing data security risk from prompt injection #cybersecurity #promptengineering?#aisecurityrisks

?? Want to deploy LLMs at scale but wrestling with Kubernetes? Join us TOMORROW at 12 CST where our CTO Feynman Liang walks through an end-to-end open source private AI stack on Azure, including: - Containerizing LLMs in AKS - Infrastructure as Code with OpenTofu - Production-ready deployment patterns - Full open source stack implementation Perfect timing after #KubeCon to put those container concepts into practice! Learn how to build a truly vendor-independent AI infrastructure.

?? Announcing DecisionBox v0.1.2! Transform your zero-shot prompts into production-ready ML classifiers that keep getting smarter. Our latest release makes the journey from prompt to learned classifier even smoother: ? What's New: - Interactive guidance system for optimizing classifier performance - Streamlined interface for managing your prompt-to-classifier pipeline - Enhanced monitoring of how your classifiers learn from data - Improved error handling for production reliability - Expanded test coverage across decision workflows These updates make it even easier to turn your domain expertise into scalable ML classifiers that improve with real-world data. ?? Special thanks to our user community for the valuable feedback, and to Niole Nelson from Domino Data Lab and Muhammad Burhan from VirtualForce for their contributions in this release. We're committed to making DecisionBox the bridge between prompt engineering and production ML. Ready to transform your prompts into learning classifiers? Visit https://lnkd.in/eEF7zEFA to get started! #MLOps #ArtificialIntelligence #PromptEngineering #MachineLearning #BlueTeamAI

Sound familiar? "I don't have access to data after my training date of October 2023, so I cannot provide information or updates beyond that point." Don't let this happen to your LLM app! In the next episode of the Blueteam AI podcast, learn why RAG (Retrieval-Augmented Generation) is important, how AI language models like ChatGPT are limited by their training cutoff dates, and how RAG can solve this by allowing AI to access current and proprietary information in real-time. #AI #RAG #ChatGPT

?? We're open-sourcing our reference implementation for running private AI infrastructure on Azure! This shows how to deploy Ollama and Open WebUI on AKS using infrastructure-as-code - the same architecture we've successfully implemented with customers. Why we're sharing this: - Running AI infrastructure has many practical challenges - Teams need examples of production deployment patterns - We believe open source AI will become standard Get started: https://lnkd.in/gvaMicmb Full announcement: https://lnkd.in/g8WhNCxV As the AI landscape evolves, we're committed to helping organizations own their AI infrastructure. This reference implementation is just the beginning of that journey. #Azure #AI #OpenSource #Infrastructure #Kubernetes

?? Breaking: Texas Proposes Landmark AI Regulation The Texas Responsible AI Governance Act (planned for 2025) signals a major shift in state-level AI oversight. Key highlights from our analysis of the draft bill: ?? Scope: Applies to high-risk AI systems affecting critical sectors including healthcare, finance, education, employment, and government services ?? Core Requirements: Mandatory impact assessments Consumer protection from algorithmic discrimination Documentation of training data and risk management Human oversight of critical decisions Regular system monitoring and reviews ?? Notable Prohibitions: Non-consensual sentiment analysis Behavioral manipulation Unauthorized biometric capture Social scoring systems ?? Innovation-Friendly: Establishes a regulatory sandbox program for testing new AI systems while maintaining safety guardrails This could become a blueprint for other states considering AI regulation. The bill thoughtfully balances innovation with consumer protection, drawing inspiration from the EU AI Act while adapting to Texas's unique context. More details: https://lnkd.in/djNPT_pC The good news? Blueteam AI Gateway offers safety guardrails and prohibited use policy enforcement in a turn-key application. #ArtificialIntelligence #Regulation #Technology #Texas #AIPolicy #Innovation #TechPolicy What are your thoughts on state-level AI regulation?