Manoel Amado

NIST just released the SP 800-53 Control Overlays for Securing AI Systems concept paper. This paper uses the familiar control catalog Federal teams already know, then tweak and prioritize controls to address AI‑specific use cases and risks. What’s new: Layering in AI‑centric use cases—like generative AI, predictive models, agentic workflows, and developer pipelines—to help provide guidance on critical controls for AI systems. Think about joining the Slack channel to contribute - https://lnkd.in/gRgGG9FA https://lnkd.in/gFrbdiCM #Cybersecurity#AI#NIST#AIsecurity#Governance#RiskManagement#TechLeadership#Innovation

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Lockheed Martin has announced a collaboration with Red Hat to accelerate the deployment of swarm autonomy technologies for Uncrewed Aerial Vehicles (UAVs). The partnership aims to enable real-time software updates, a capability critical to mission success in tactical environments -- Defence Industry Europe. The companies are working together to deliver smarter, more adaptable UAV swarms using Red Hat Device Edge (RHDE) technology. RHDE’s containerisation and modular architecture are being integrated with Lockheed Martin’s autonomous swarm operations on the Skunk Works Indago 4 quadcopter. The integration of Red Hat’s technologies with Lockheed Martin’s platforms marks a key step in delivering next-generation solutions to military customers. It reflects the company’s focus on anticipating future needs through advanced system interoperability and technological innovation. Alberto Speranzon :: Rebecca Broadway :: Vince Barber :: Alec Williams, MS :: John Dvorak https://lnkd.in/grPZtMdU

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The future of AI superiority in defense and intelligence begins and ends with data. Without quantifiable quality in your AI training data, you introduce unquantifiable risk to your downstream models and program outcomes. The ability to optimize costs and deliver AI innovation, requires an understanding of how each label will contribute to driving mission readiness. https://lnkd.in/ed_X4QvP #datalabeling #ai #machinelearning #computervision #dod #cdao #navy #army #cia #nga #dia

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We're excited to announce new capabilities in Google Cloud #VertexAI Training designed to simplify and accelerate large-scale model development. Key highlights from our latest update: 🔹 Flexible, Self-Healing Infrastructure: Leverage fully managed, resilient Slurm environments with automated failure detection and performance-optimized checkpointing. 🔹 Cost-Effective Scheduling: Utilize Dynamic Workload Scheduler (DWS) for fixed future reservations or flexible on-demand capacity. 🔹 Integrated Frameworks: Access optimized recipes for the full model lifecycle (including SFT and DPO) and seamless integration with NVIDIA NeMo. Whether you're fine-tuning standard models or training massive custom foundational models from scratch, these new features are built to get you to production faster. Read the full announcement to see how organizations like Salesforce and AI Singapore are already leveraging these tools to elevate their models. 👇 https://lnkd.in/gVVq3WCw

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After TRACTIAN's ML workloads doubled in a year, their industrial IoT platform was experiencing unsolvable performance degradation. How did their engineers rethink their distributed data system before they hit #MongoDB's breaking point? JP Voltani explains their migration strategy and the lessons learned along the way. https://lnkd.in/eqygBvCG #ScyllaDB #NoSQL #techtips

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Today, Microsoft announced a HUGE $30 billion investment, in the United Kingdom, for AI infrastructure and ongoing operations. The investment will enable us to build the country’s largest supercomputer with more than 23,000 advanced GPUs in partnership with Nscale. From Barclays and the London Stock Exchange Group, to the Premier League and Vodafone, we are gearing up to bring the power of AI to everyone across the county - both at home and at work. Read more: https://lnkd.in/eeBxRCXk #AI #UK #MicrosoftAdvocate #US #Copilot

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Agencies across the DoD and the Intelligence Community are accelerating their pursuit of #agenticAI: systems that can act autonomously, make decisions, and power complex workflows. These aren't just tools, they're considered force multipliers for operational readiness and mission-critical #efficiency. According to a recent Nextgov/FCW feature, this matters for #leaders: ✔️ Operational Advantage: #AIagents are being deployed to handle routine tasks like intelligence parsing, logistics optimization, and personnel scheduling, so human experts can focus on high-impact work ✔️ Enterprise Momentum: High-stakes pilot programs and #partnerships with cloud vendors are paving the way for scaled adoption across top-secret environments ✔️ Data & Governance as Enablers: Success hinges on robust #data foundations and well-defined accountability frameworks to mitigate risk and ✔️ Workforce Evolution: Leaders must prioritize user training, AI #literacy, and reimagined team roles to ensure humans and agents collaborate effectively https://lnkd.in/eN4xhXYi

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Fresh video! In the past LOBs were typically used for large documents or binary data. But in the world of JSON and XML, the need for efficiently dealing with "medium" sized large objects has become more important. Version 23ai gives you some new tools and flexibility to meet the challenge. https://lnkd.in/gSD7XvqZ

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