New Math Data

Back by popular demand! 🎉 As a member of the New Math Data team and one of the few AWS professionals to earn the prestigious Golden Jacket distinction, Noor S. continues to share valuable insights from her AWS certification journey. After her previous breakdown of passing the AWS Certified CloudOps Engineer – Associate exam generated some of our strongest engagement, Noor is back with another insightful deep dive: Passing the AWS Certified DevOps Engineer – Professional. This exam explores how AWS approaches operating and managing modern engineering environments at scale. 🔹 Automation and self-healing systems 🔹 Multi-account governance 🔹 CI/CD pipelines and deployment strategies 🔹 Monitoring, observability, and operational excellence One of the biggest takeaways? The Professional-level exams reward real-world experience far more than memorization. Knowing what a service does is one thing. Knowing when, why, and how to use it in production is another. If you're preparing for the DevOps Professional certification, or simply want a better understanding of AWS best practices, you can find the full breakdown here. Don't miss out! #AWSDevOps #AWSCertified #AWSCertification #CloudOps #DevOpsEngineering #AWSCommunity

Most software delays aren’t technical 🛠️ It's waiting. Waiting on requirements. Waiting on reviews. Waiting on approvals. Waiting for context to move from one team to the next. AI-DLC proposes something uncomfortable: What if, the bottleneck was never writing code? Instead of dropping AI into an existing SDLC, redesign the delivery process around AI from day one. Have it: ➕ gather requirements ➕ asks clarification questions ➕ propose architecture ➕ generate implementation People stay responsible for judgment and decisions. The teams that win with AI may not be the teams with the best prompts. They may be the teams willing to rebuild how software gets delivered ⚙️ https://lnkd.in/gVtWt3mA #ArtificialIntelligence #SDLC #DevOps #SoftwareEngineering #PlatformEngineering

Proud to see our CEO Traey Hatch speaking at #PACECON2026 alongside the top 260 #AWS builders in the world. Excited for the conversations ahead around innovation, scale, and what’s possible when ambitious teams have the right technology partners behind them. At New Math, we’re passionate about helping organizations reach their global goals, move faster, and scale with confidence. The future is being built in rooms like this and we’re honored to be part of it. #CloudEngineering #GenerativeAI #PlatformEngineering #DigitalTransformation

Most companies are still treating AI like a demo. The conversation at NVIDIA #GTC2026 made one thing very clear: The companies pulling ahead are building AI infrastructure, not just AI experiments. ⚙️ We’re entering what NVIDIA calls the “AI Factory” era. That means moving beyond isolated chatbots and proof-of-concepts into production-grade systems that can continuously run, orchestrate, scale, and govern AI workloads across the business. The bottleneck is no longer just model quality. It’s: • orchestration • deployment • governance • inference scaling • infrastructure maturity • operational reliability Building a cool AI demo is relatively easy now. But running AI systems reliably across enterprise environments is the hard part. 🚀 This feels very similar to the early cloud transformation era. The organizations building strong AI foundations today will likely move much faster than companies still stuck experimenting in silos. The AI race is increasingly becoming an infrastructure race. https://lnkd.in/gw_nQBWi #ArtificialIntelligence #AgenticAI #AIInfrastructure #EnterpriseAI #MLOps

You need to stop reacting only after problems happen. 🚚 In modern logistics operations, delayed visibility becomes expensive fast. A driver deviation. A delivery delay. An SLA risk. If your teams only discover issues after escalation, you’re already playing catch-up operationally. That’s why Senpex partnered with New Math Data to build a real-time logistics intelligence platform on AWS. The system combined: ⚙️ Streaming operational data ⚙️ Real-time monitoring and analytics ⚙️ Generative AI-powered dispatch workflows ⚙️ Conversational operational intelligence The goal wasn’t to create another AI demo environment. It was to connect AI directly into live dispatch operations where real operational decisions are happening continuously. That meant faster risk detection, improved dispatcher visibility, and real-time operational context instead of reactive firefighting. This is where logistics operations are heading. Swipe through the carousel to see how the platform was built. It might just be what you're needing as well. 📊 #AWS #GenerativeAI #Logistics #DataEngineering #CloudComputing

Another AWS certification added to the team. 🚀 Big congratulations to Davis Montenegro Martinez for earning the Amazon Web Services (AWS) Certified Cloud Practitioner certification. 👏 Cloud Practitioner is a foundational AWS certification focused on cloud concepts, AWS services, security, pricing, and architectural fundamentals. It’s designed to validate a strong understanding of how modern cloud environments operate. Another certification that reflects our commitment to continuous learning in an industry that never stops evolving. Cloud, AI, and data systems move fast. Teams that keep sharpening their skills are the ones best positioned to solve increasingly complex problems for customers. Awesome work, Davis. #AWS #CloudComputing #AWSCertified #DataEngineering #CloudArchitecture

Still getting blindsided by outages, instability, or grid failures? ⚡ Your utility probably already has the data. The problem is being able to see what matters before it becomes a real-world issue. Modern power systems generate enormous amounts of operational data every second: 📊 Telemetry 📊 Sensor readings 📊 Asset health data 📊 Weather inputs 📊 Grid events But most of that information still lives in dashboards, reports, and systems that make fast decision-making harder than it should be. That’s why visualization is becoming such a critical piece of modern grid operations. The utilities gaining an edge are the ones turning raw infrastructure data into real-time operational awareness: • Identifying risks earlier • Detecting anomalies faster • Prioritizing maintenance more effectively • Improving outage response • Modeling grid stress before failures happen And as AI and connected infrastructure continue expanding across the energy sector, this gap only gets bigger. More data doesn’t automatically create smarter operations. Being able to interpret it quickly does. If you work in utilities, grid modernization, cloud infrastructure, or industrial analytics, this one is worth the read. Better yet, check it out right here on LinkedIn. #EnergyUtilities #DataEngineering #CloudComputing #PowerSystems #ArtificialIntelligence

13 active AWS certifications. All passed on the first attempt. 🚀 That’s the kind of post that makes an entire team stop scrolling. Huge congratulations to Noor S. on earning the #AWS Golden Jacket distinction. 🏆 Anyone who has taken even one AWS certification knows the level of preparation and focus required for these exams. Now imagine doing all 13. Without a single retake. An incredible achievement and a reflection of the talent, curiosity, and dedication we’re lucky to have at New Math Data. Awesome work, Noor 👏 #AWSCertified #GoldenJacket #AWSAmbassador #CloudComputing #DataEngineering #ArtificialIntelligence

What happens when engineers let AI do all the thinking? 🤖 Agentic AI can accelerate development dramatically. But if engineers rely on it before mastering the fundamentals, productivity gains can come at the cost of long-term capability. The strongest engineering teams will use AI to move faster without outsourcing critical thinking. Because when AI-generated outputs break, scale poorly, or introduce risk... Someone still needs to know why. In our recent article, we break down: ⚙️ Why over-reliance on Agentic AI can create skill decay ⚙️ How engineering roles are shifting toward orchestration and validation ⚙️ Why fundamentals still separate great engineers from prompt operators Don't ignore the warning signals, take a few minutes to read the article -- right here on LinkedIn. #ArtificialIntelligence #AgenticAI #SoftwareEngineering #MachineLearning #CloudComputing

60% faster oil well scenario creation. ⚙️ That’s what happens when AI is embedded into the workflow instead of bolted on as a surface-level chatbot. Xecta needed a better way for engineers to build and modify complex well scenarios inside its Production Advisor platform. So a conversational AI interface was implemented that translates natural language into structured backend-ready scenarios. The result: • 60% reduction in scenario build time • 25% increase in platform usage • 50% faster onboarding for new users Real AI value comes from removing friction inside complex workflows. Not from adding another chat box to the screen. 🚀 #ArtificialIntelligence #DataEngineering #CloudComputing #MachineLearning #DigitalTransformation