Palantir Technologies’ Post

Palantir doesn't train its own LLMs, but offers a robust suite of tools for using any commodity or self-hosted models. Focus on what truly matters: boosting your operational efficiency💡 #AI #Efficiency #Innovation

“It may be the case that consciousness or self-awareness is not the result of a discrete or specific set of relationships within a network of connections, such as the human brain, but rather merely an emergent property of a sufficiently complex system. Put differently, consciousness, or its functional equivalent and therefore some form of autonomy, might necessarily arise from a sufficient degree of complexity within an informational network. It is clear that the sophistication and complexity of these latest systems will only continue to increase. The challenge will be to ensure that such technologies remain subservient to our collective will.”

“It is that orchestration layer, the often unglamorous and overlooked work of data integration, that will make this next era possible.” So true even in the most basic martech stack projects. Is your data good enough? Do your ppl know what data you have and what it can be used to illustrate and what gaps you have, what you can’t see? Can you trust the data or do something to make it trustworthy? Can you seam it together to create insights and eventually value?

AIP will bridge the Strategic Operator with the Tactical Operator with orchestration of Hivemind Full Mission Autonomy.

LLMs are a powerful commodity- but a commodity all the same. They’re available and improving in both efficacy and cost. Getting the most from this AI revolution relies on the context in which you set it- how you orchestrate it. LLMs are the treasure seekers. Give them the map.

Brilliant - “The future belongs not to the models themselves, but to those constructing the orchestration layer between the LLMs and the data that they consume”

Silos of truth lead to war rooms. Removing barriers delivers answers. Multiple "sources of truth" are often used defensively to exonerate one department while pointing the finger at others. Riverbed's open observability platform leverages telemetry from our high-fidelity data sources, as well as your existing "silos" of information, and applies AI Automation for faster MTTR and self-healing systems. Riverbed takes you out of the war room and into root cause. https://lnkd.in/gvN-68Aw

This week, Anthropic unveiled MCP, "a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments." However, to elevate these agents to enterprise-grade, two critical gaps need to be addressed: 1️⃣ Remote server support 2️⃣ Enterprise-grade authentication Here’s the good news: With DevRev's AgentOS platform, you can create such MCPs in form of Snap-ins with the same lines of code, but with added capabilities to: ✅ Run them remotely ✅ Ensure secured integrations ✅ Implement enterprise-grade authorization Ready to build production-grade AI agents? Let’s connect and explore! 🚀 P.S.: Screenshot from Claude's MCP release document.

We're thrilled to share some exciting insights on maximizing data storage performance! In our latest blog post, we explore how Lustre, combined with asynchronous I/O, can achieve network interface speeds of 400 Gbps and beyond, using just two clients. Discover how selecting the right backend, such as xiRAID Opus, can enhance efficiency by utilizing fewer resources. By leveraging Lustre and asynchronous I/O, we're meeting the high demands of AI and HPC workflows, ensuring unparalleled performance, scalability, and efficiency. Don't miss this deep dive into optimizing your data storage solutions! Read the full blog here: https://lnkd.in/exi8DNRE

Unlock unparalleled visibility and control over your WAN with Juniper Mist Routing Assurance! Powered by Mist AI, it transforms network operations through AIOps, offering proactive insights and effortless troubleshooting with Marvis. Dive deeper in Juniper Networks' live demo: juni.pr/3CZSv8j