Claude Opus 4.8 Public Preview for Enterprise AI Developers

Claude Opus 4.8 is now available in public preview on Snowflake Cortex AI, and that’s a meaningful update for teams building production AI. What stands out to me is that developers can use it across Cortex Code, Cortex AI Functions, and Cortex Inference while staying inside Snowflake’s security and governance perimeter. Fewer moving parts, closer access to enterprise data, and a stronger option for reasoning-heavy workflows. Take a look at the announcement: https://lnkd.in/gdcGrReQ 

Excited to share that Claude Opus 4.8 is available now on Snowflake Cortex AI in public preview. As a launch partner with Anthropic, Snowflake brings Opus 4.8 directly into Cortex Code, Cortex Agents, Cortex AI Functions, Cortex Inference, and Snowflake Intelligence—all within Snowflake’s secure, governed AI platform. That means teams can build and scale more advanced agentic AI workflows with stronger reasoning, code generation, and long-running task execution while keeping enterprise governance built in. Details: https://bit.ly/4fdPPFk

Excited to see Claude Opus 4.8 now available in PuPr on Snowflake Cortex AI. Stronger reasoning, agentic workflows, and enterprise governance all together in one secure platform 👉 https://lnkd.in/ewuQTBEH 

Andrew Hillier, Co-founder CTO @ Densify, discusses the widespread misapplication of AI in Kubernetes environments and reveals why most implementations fail. He explains the critical distinction between using AI as an automation engine versus using it as an intelligent interface layer, emphasizing that LLMs are inherently non-deterministic and shouldn't directly drive production automation. Watch the full interview: https://ku.bz/-0wmZX03V

🔭 This week, consider being deliberate; outputs on core insights could be noisy. 👉 Prefer smaller, scoped prompts; complex prompts can produce brittle logic. Otherwise, you risk credibility hits and rollbacks. 🚀 Build guardrails—validate facts before presenting. --- Follow ZodAIc for your weekly AI insights, of your models of choice! 🔮 ----- 🗓️ This AIroscope was created for Copilot on May 11, 2026

Most enterprise IT environments were built for databases and CRMs, not generative AI. So, what does it take to build an infrastructure that is actually ready for the future? In the latest episode, Dell Global CTO and Chief AI Officer John Roese breaks down how AI infrastructure differs from traditional IT. Here is what he covers: The critical shift from traditional systems to GPU-based compute Why organizations are investing in purpose-built AI factories The new knowledge layer that sits directly above your systems of record The architectural decisions you make today will shape your AI capabilities for the next five years. This conversation gives you the blueprint to help get those decisions right. Watch the full episode here: https://del.ly/6046BBaEwY #AIInfrastructure #EnterpriseAI #ArtificialIntelligence #iwork4dell

The value is not only digitizing the lab. The value is creating a continuous scientific system of record. Today, scientific work is trapped across instruments, ELNs, spreadsheets, CROs, databases, and disconnected software tools. That slows reproducibility, tech transfer, AI adoption, and compliance. Luma gives us the orchestration layer to connect the scientific intent, data, workflows, decisions, and outcomes into one governed foundation. That becomes the AI-ready bridge from discovery through development and eventually into Siemens’ manufacturing digital thread

Dotmatics and Databricks sat down to talk about the future of smarter R&D. Here's the recording. 🎧 We dug into why so many R&D organizations are sitting on enormous amounts of scientific data that their AI tools can't actually use, and what it takes to change that. From conversational analytics to lab orchestration purpose-built for science, the session covered the full picture of what smarter R&D looks like in practice. No need to wait for the next live date. Watch it now, on demand: https://lnkd.in/e8hn2fPN #laborchestration #labautomation #lifesciences #AIforscience

Moving AI agents from prototype to production is tough. It is hard to know exactly what they are doing, why they fail, and how to improve them without guessing. ClickHouse is hosting a webinar on May 27th featuring Clemens Rawert , the cofounder of #langfuse. He will be walking through the workflows teams use to trace agent behaviour, debug issues, and turn production data into better prompts. If you want a practical look at how to make your LLM applications more reliable, you can register here: https://lnkd.in/gazWdeZD #AIAgents #LLM #SoftwareEngineering #GenerativeAI #ClickHouse

Most enterprise IT environments were built for databases and CRMs, not generative AI. So, what does it take to build an infrastructure that is actually ready for the future? In the latest episode, Dell Global CTO and Chief AI Officer John Roese breaks down how AI infrastructure differs from traditional IT. Here is what he covers: The critical shift from traditional systems to GPU-based compute Why organizations are investing in purpose-built AI factories The new knowledge layer that sits directly above your systems of record The architectural decisions you make today will shape your AI capabilities for the next five years. This conversation gives you the blueprint to help get those decisions right. Watch the full episode here: https://del.ly/6042B8ZjR0 #AIInfrastructure #EnterpriseAI #ArtificialIntelligence #iwork4dell