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Join us live (virtually) for a technical deep dive into how Arize engineers actually built Alyx 2.0 — from architecture to production. Unlike most AI assistants that follow a single decision tree, Alyx breaks down complex tasks, reasons across multi-step workflows, and acts autonomously across your entire AI lifecycle: ↳ Error analysis ↳ Prompt experimentation ↳ Trace debugging

Bank of America designed Erica as a platform that could leverage multiple models — from BERT and OpenNLP to the latest foundation models. Arthur was built the same way. As your team brings in new models across the Erica architecture, Arthur monitors, evaluates, and governs every one of them through a single platform.

U.S. Bank's responsible use framework calls for better monitoring, better visibility, and predictive maintenance across AI systems. Arthur is the operational layer that delivers it — continuously evaluating every AI system in production, surfacing drift in real time, and giving second-line oversight what your framework requires.

Excited to announce that I will be attending and representing Arize AI at RAISE Summit! Looking forward to connecting with the brightest minds in AI and innovation at the Carrousel du Louvre, Paris. #RAISESummit

هل قد جربت تستخدم ChatGPT وقلت لنفسك… “الكلام حلو، بس أحسه مو دقيق… أو حتى مو له علاقة بالسؤال؟” 😅 ترا مو بس إنت! أغلب نماذج الذكاء الاصطناعي العالمية متدربة على بيانات إنجليزية ومصادر غربية، فإذا سألتها شي عن منطقتنا، ثقافتنا، أو لهجتنا العربية — ما تفهمك. تخمن. وهنا تبدأ تطلع أرقام غلط، معلومات قديمة، أو إجابات كذا… ما تشبهنا أبد. وهنا يجي دورنا في Arabic.ai 🇸🇦✨ إحنا نبني ذكاء اصطناعي “عربي بالأصل”، مدرَّب على لغتنا ولهجاتنا وقطاعاتنا. ما نترجم التقنية… نُوطنها. لكي تخدم السعودية، الخليج، والعالم العربي. النموذج الكبير عندنا (LLM) متدرّب على بيانات عربية حقيقية — من قطاعات مثل البنوك، والجهات الحكومية، والتجزئة، والخدمات اللوجستية، وأكثر. وفي Arabic.ai إحنا نطوّر منظومة كاملة من الوكلاء الذكيين (AI Agents) — لكل مجال: البنوك، المخاطر، الامتثال، الترجمة، القانون، وخدمة العملاء. كل وكيل يتكلم عربي، يفهم اللهجات، ويتوافق مع قوانين البيانات ، ويتكامل بسهولة مع أنظمة الشركات الداخلية. ولأن الثقة والأمان شي أساسي، كل اللي نسويه مبني على سيادة البيانات، الشفافية، وخيارات on-premise للجهات اللي ما تقدر تخاطر وتطلع بياناتها برا المملكة. فالمرة الجاية إذا أحد قال: “الذكاء الاصطناعي ما يفهم عربي…” قل له ببساطة: جرب Arabic.ai 💡 إحنا نثبت كل يوم إن منطقتنا تستحق تقنية تتكلم لغتنا — مو بس بالحروف، بالعقل. 💭 ✨ Arabic.ai — Where Arabic Meets Intelligence. Arabic.AI

From Accuracy to ROI: When AI Starts Making Real Business Sense Every company wants to “do AI,” but few ask the real question: At what point does AI actually start creating value worth investing in? That point is what I like to call your Minimum Viable Accuracy — the level of accuracy your AI model needs to reach before it makes economic sense to deploy it. Below that threshold, it’s an experiment. Above it, it becomes an engine of measurable ROI. When accuracy improves: - You reduce uncertainty in decision-making - You optimize operations and cut waste - You predict risk instead of reacting to it - You turn better information into better margins AI isn’t just about algorithms — it’s about knowing when prediction quality starts driving profit. The lesson? Don’t just build AI models. Build models that pay off. Arabic.ai Arabic.AI

¿Cuánto dinero podrías ahorrar por mermas en Q1 2026? Esta y cualquier pregunta sobre tu operación la podrás responder con Arkham. Construye inteligencia comercial para tener análisis de marcas, categorías y comportamiento de mercado con datos confiables e insights accionables. Tu equipo operativo estará un paso adelante frente a la competencia con mejor segmentación, con métricas estandarizadas y sin análisis manuales. Obtén respuestas en segundos sobre tu operación con AI Generativa para optimizar mermas, pricing y tu estrategia comercial.

Arkham, el aliado estratégico que transforma días de análisis en respuestas confiables en segundos. ¿Cuánto dinero pierdes por exceso de stock, rotación lenta o mermas evitables? Con nuestra plataforma de Datos & AI, obtén respuestas confiables en segundos y habilita casos de uso que impactan tu operación: • Gestión de Inventario: Pronósticos 95% precisos que evitan stock outs, exceso y mermas • Pricing Estratégico: Descuentos optimizados para máximo margen • Control de Rotación: Alertas en tiempo real sobre productos de baja rotación Construye una ventaja competitiva con AI adaptada a tu operación.

Claude Opus 4.7 handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

Claude Opus 4.7 is live today! I've been using it for a couple weeks and the thing I keep coming back to is how much further I can push a single prompt. Ambiguous, multi-step work that I used to break into pieces now goes in as one task, and it checks its own work before telling me it's done. That self-verification loop is the part that changes how it feels to build with. The numbers from early partners track with that. Cursor's internal bench cleared 70%, up from 58% on 4.6. Notion saw a 14% lift on their evals with a third of the tool errors. Also shipping today on the platform: higher-resolution image support (3x the pixels of prior Claude models), task budgets in public beta for guiding token spend on long runs, and a new xhigh effort level for tuning the reasoning/latency tradeoff. Let us know what you think! https://lnkd.in/gRUHa38h

I will be representing Amii (Alberta Machine Intelligence Institute) at HannoverMesse next week, along with Jon Larson and Felix Duerr. I look forward to connecting with German and European organizations interested in collaborating with one of Canada's national AI institutes to advance AI research and commercialization. Connect with us in Hall 27 in the Team Canada pavilion organized by NGen Canada, or reach out here and let's find a time to meet! See you there! Looking forward to connecting with colleagues at Canadian German Chamber of Industry and Commerce Inc. and attending the Canada German AI Symposium there as well! #aiinmanufacturing #hm26 #hannovermesse #ai #ai4manufacturing

Five years ago, we started Upper Bound as a celebration of Alberta’s 20-year legacy in AI research. It has since evolved into a world-class gathering where Canada’s AI future is being built. Today we are excited to announce that Upper Bound is officially SOLD OUT for 2026! 🎉 In just five years, this event has welcomed over 16,000 members of the global AI community to Edmonton to spark the collisions that advance AI science, optimize business, scale startups and map national projects. As the Honourable Nate Glubish, Minister of Technology and Innovation, notes: “Alberta has long served as a global hub for artificial intelligence, driven by institutions like Amii and a thriving innovation ecosystem. The fact that Upper Bound has sold out underscores the strength of our province’s leadership in AI, our ability to attract top talent and investment, and the growing role Alberta plays in shaping the future of technology and economic growth.” We can't wait to welcome 8,000 of you to Edmonton next month to imagine—and realize—an optimistic AI future. Read more from our media release: https://hubs.ly/Q04f0RMV0

Finally! In Zusammenarbeit mit NVIDIA, haben wir unseren Report zum Thema KI in Universitäten fertiggestellt. Da es oft Thema bei uns ist, wie man als Hochschule eine sinnvolle KI-Strategie entwickelt, haben wir unser Know-How zusammen mit NVIDIA aus vielen Projekten zusammengetragen! 🙌 In der Hochschulwelt hört man ja immer wieder (kennst Du vielleicht auch): "Wir brauchen eine KI-Strategie!" Aber wenn man nachfragt, was genau dahintersteckt, wird's oft dünn. Also haben wir hierzu ein passendes Dokument erstellt mit dem Titel “The Roadmap to Becoming an AI University” inkl. AI Readiness Checkliste. Du willst vom Wunschdenken zur Realität? 🔗 Jetzt herunterladen: https://lnkd.in/dx76Zb7r Wenn du es gelesen hast, schreib mir kurz: Welcher Bereich ist bei euch am meisten unter Druck, Ziele, Compute, People oder Governance? Jeder arbeitet mit KI, für die Forschung ist es ein enormer Booster und damit für jeden Entscheider an Hochschulen Pflicht-Thema. Und gerne auch liken oder teilen, wenn ihr Kolleg:innen aus dem Hochschulbereich kennt, die das interessieren könnte. #KI #KünstlicheIntelligenz #Hochschule #Universität #Innovation #Strategie

In the last weeks, OpenClaw and Moltbook went viral. For the first time, people experienced an agent with a full set of integrations (eg., Slack, Outlook) and communication channels (eg., WhatsApp, Mail), and could watch agent-to-agent communicate in real-time on a platform. While OpenClaw is amazing in its functionality, we believe the enterprise version will have similar elements - but in a highly secure and auditable environment. That's what we're building at AIAIAI.

Viele Hochschulen haben bereits eine KI-Strategie - zumindest auf dem Papier. Aber wenn es um die Umsetzung einzelner Projekte geht, scheitern ein Großteil an der passenden Infrastruktur. ❌ Falsch dimensionierte Hardware-Anschaffungen ❌ Unklare Anforderungen aus den Fakultäten ❌ IT-Teams, die mit dem Betrieb von KI-Hardware unerfahren sind ❌ Angst, Budgets falsch einzusetzen Bei AMBER arbeiten wir seit Jahren mit Hochschulen und NVIDIA zusammen und wissen: Erfolgreiche KI-Implementierung beginnt mit der richtigen Strategie. Unser kostenloses eBook “The Roadmap to Becoming an AI University” zeigt die 5 kritischen Erfolgsfaktoren. 🔗 Jetzt herunterladen: https://lnkd.in/eCncun42

E se l’intelligenza artificiale potesse semplificare davvero la stesura e la gestione dei contratti? La contrattualistica è un processo complesso che richiede attenzione ai dettagli e massimo rispetto di regole, obblighi legali e policy aziendali. L’IA, con le sue capacità di verifica, rilettura e comparazione, può essere un valido strumento di supporto per aziende pubbliche e private. Velvet consente di abilitare queste funzionalità attraverso un’interfaccia conversazionale, semplificando al massimo il lavoro dei professionisti. Contattaci per saperne di più: https://lnkd.in/dWwt5PHJ #Velvet #ContractManagement #AI #LLM

E se l’intelligenza artificiale potesse semplificare il processo di ricerca documentale? Per i professionisti della Pubblica Amministrazione e delle grandi aziende, reperire informazioni utili per relazioni, policy interne e documentazione è ancora oggi un’attività lunga, frammentata e complessa. Discovery Experience di Almawave, basata sull’IA generativa di Velvet, grazie alle sue capacità di analisi e correlazione dei dati, consente di interrogare knowledge base complesse composte da migliaia di documenti, anche distribuiti su sistemi differenti. Il risultato è un accesso immediato alla conoscenza aziendale, che rende i flussi di lavoro più efficienti e il processo decisionale più rapido e consapevole. Contattaci per saperne di più: https://lnkd.in/dDAppndn #Velvet #LLM #Smartsearch

Viele KI-Lösungen liefern generische Antworten. Echter Mehrwert entsteht erst, wenn Ihre eigenen Systeme angebunden sind. ama verbindet Deine Tools zu einer sicheren, zentralen KI-Plattform. Alle Details im Überblick.

Verification should not depend on trust. Make every credential provable and tamper-proof.

Avoid missing records and manual tracking. Ensure every certificate is stored and verifiable.

How Simulation-in-the-Loop (SiL) Saves Time and Money? Real-world testing for autonomous systems is slow, expensive, and often risky. With Simulation-in-the-Loop, teams can run their full autonomy stack inside a simulated environment, test thousands of scenarios, and validate edge cases before going to the field. Read the full the article (Link in the comments) 👇

Validating autonomous systems is no longer just about scale but about relevance. AILiveSim provides a powerful simulation platform for robotics testing, validation, and synthetic data generation in physics-based virtual environments. With Intelligent System Testing (IST), teams can move beyond brute-force testing by adopting an adaptive validation approach, focusing on the scenarios that matter most and accelerating learning cycles. IST integrates seamlessly with existing simulation workflows, enabling developers to strengthen their testing pipelines and validate complex autonomous behaviors with greater confidence. 📌 Our latest Technical Brief explores this approach in detail, including a real-world auto-docking use case. 👉 Download the full brief: link in the comments

Sunny Paris. Foggy London. Same model. Different outcomes. We see this gap often. A model performs well in controlled environments, then degrades when conditions shift. This is usually not a model issue. It is a data coverage issue. Here are five ways weather affects perception in defense scenarios: 1. Rain on EO sensors creates fast-moving streaks that act as occlusions and false edges, lowering detection confidence for vehicles and personnel at distance. 2. Fog reduces contrast over distance, pushing objects below detection thresholds sooner than expected, especially for appearance-based models. 3. Snow and ground glare introduce noise that hides useful features, increasing false positives in threat classification. 4. Wet surfaces create reflections that mimic shapes and thermal signatures, leading to false detections and unstable tracking. 5. Wind-driven clutter like dust and vegetation disrupts temporal consistency, which video-based models rely on for motion cues. We tested this with a client. The same detector ran on clear and light rain footage. Precision stayed stable. Recall dropped. The model depended heavily on clean visual features, and partial occlusions reduced the signal it needed. For ISR, autonomous airborne and ground systems, and perimeter monitoring, weather can degrade model performance. In our work, we treat image distortion as a core variable in the data. This means collecting data across real conditions and applying physics-based rules and lens effects. In our work, we treat image distortion as a core variable in the data. If you are looking to close data gaps and improve how your models perform in real conditions, we are here to help.