Azumo

How do you keep your ML experiments organized when you’re tuning hundreds of models? We’ve just launched a new video series on Experiment Tracking with MLflow, led by Franco Matzkin, Machine Learning Engineer at Azumo, as part of our Level Up with AI initiative. In this hands-on series, Victor breaks down: • What makes experiment tracking essential in every ML workflow • How to manage hyperparameters, version models, and avoid “parameter chaos” • How MLOps connects everything — from training to production — using MLflow If you’re an ML engineer, data scientist, or just getting started with MLOps, this is a must-watch. 🎥 Watch the full series here: https://hubs.la/Q03NGRXM0 #MachineLearning #MLOps #MLflow #DataScience #AI #Azumo

Mid-October marks a decisive shift in enterprise AI. AI systems now design the chips that power them, workplace AI has become a competitive standard, and autonomous agents are entering large-scale production. This second edition of AI Intelligence Briefing examines how enterprise AI is evolving from experimentation to full-scale infrastructure: - OpenAI and Broadcom announce a 10-gigawatt partnership to co-develop AI-designed processors—ushering in self-optimizing hardware. - Oracle introduces Zettascale10, connecting 800,000 NVIDIA GPUs across data centers in the largest AI supercomputer ever built. - Google launches Gemini Enterprise at $30 per seat, directly challenging Microsoft’s dominance in workplace AI. - IBM’s Project Bob delivers 45% productivity gains with Anthropic Claude, proving multi-model orchestration at enterprise scale. - Microsoft expands Agent Mode, enabling autonomous task execution in Word and Excel for millions of users. The direction is clear: AI has reached its production era - diverse infrastructure, competitive platforms, and measurable outcomes. The next frontier lies in governance, orchestration, and ROI realization. Read the full October 16 briefing for a detailed look at how these shifts redefine enterprise AI strategy for 2026 and beyond. #AInewsletter #AIIntelligenceBriefing #Azumo #TheIntelligentDeveloper #EnterpriseAI #AIstrategy

We’re at an inflection point in AI. Large Language Models were the first leap — but Retrieval-Augmented Generation (RAG) assistants are the evolution that will truly change how businesses think about intelligence systems. Instead of relying on static, pre-trained data, RAG assistants retrieve real information, reason with context, and act using specialized tools. They don’t just “answer questions.” They connect data, logic, and computation to deliver explainable, grounded, and auditable results. At Azumo, we see this shift every day as organizations move from simple chatbots to multi-tool RAG architectures that: • Combine hybrid semantic + keyword search for factual grounding • Use APIs, calculators, and agents for real-time reasoning • Validate their own outputs through evaluation models • Coordinate multiple AI agents — retrievers, reasoners, evaluators — working together transparently This is more than technology. It’s a new philosophy of how AI collaborates with humans. I explored this transformation in depth in our latest article: “Building Multi-Tool RAG Assistants: The Future of Reliable, Explainable AI.” Read the full piece here: https://hubs.la/Q03NCK4X0

The first week of October 2025 marks a turning point in enterprise AI. The world’s largest organizations are no longer experimenting — they’re deploying. This inaugural edition of The Intelligent Developer, dives deep into how the AI infrastructure and enterprise landscape is being rewritten: - OpenAI launches AgentKit, transforming multi-agent development from code-heavy to visual and accessible. - AMD breaks NVIDIA’s infrastructure monopoly with a 6-gigawatt GPU deal that redefines the balance of power. - Anthropic and Deloitte bring AI to 470,000 professionals in the largest enterprise deployment to date. - Stellantis scales its partnership with Mistral AI, embedding intelligence across automotive operations. - The European Commission unveils dual AI strategies to accelerate adoption across industry and science. What’s clear: AI has moved from the lab to the boardroom. Infrastructure competition is intensifying, governance models are maturing, and enterprises are scaling responsibly. Read the full briefing in the link below. #ainewsletter #theintelligentdeveloper #newsletterazumo #azumo

You’ve probably heard the buzz. Developers are talking about RAG tools — and for good reason. Connect your LLM to real business data. Get answers that are accurate, current, and contextual. No retraining. No fine-tuning headaches. The upside is big: • Smarter chatbots that actually understand your documents • AI apps that scale with your data • Faster workflows without sacrificing precision But there’s another side to the story: • Pick the wrong tool, and you’re stuck with complexity your team can’t manage • Scale too fast, and infrastructure costs spiral • Skip planning, and your “smart” AI still gives generic answers In other words, RAG isn’t plug-and-play. The real wins come from choosing the right tool for the job — whether that’s LangChain for complex workflows, LlamaIndex for semantic search, or Haystack for enterprise-grade retrieval. We broke down the top 10 RAG tools leading in 2025 — and when to use each. Full article here: https://hubs.la/Q03LLqF10 Are you already experimenting with RAG, or still on the sidelines?

Model evaluation isn’t sexy. It doesn’t get the headlines. But it decides who actually wins with AI. High accuracy on a slide doesn’t mean a model works in the wild. False positives frustrate customers. False negatives cost millions. And every model drifts once it’s deployed. At @Azumo, we’re building the discipline to avoid these traps through Learn with AI — our initiative to train teams on applying AI in real projects. In this session, @Guillermo Germade, AI/ML & Backend Developer at Azumo, shows how to evaluate models with confidence: – Train/test splits that reflect real-world data – Precision vs. recall trade-offs tied to business goals – F1 and ROC AUC guiding decisions – MLOps practices that keep performance from fading This is how we make sure AI isn’t just a demo. This is how we make it part of the way we work. 🎥 Watch the full series here: : https://hubs.la/Q03JP3_g0

You’ve probably heard the buzz. Developers are talking about vibe coding - and for good reason. Describe what you want in plain English. AI translates it into working code. Minutes instead of hours. The upside is big: teams are saving 2–6 hours a week and cutting entire dev cycles in half. But there’s another side to the story: - AI output riddled with security gaps - Technical debt piling up fast - Over-reliance on prompts that miss the bigger picture In other words, speed isn’t enough. The real wins come when teams mix the power of vibe coding with guardrails for security, quality, and human oversight. We broke down the five biggest risks - and how to sidestep them. Full article here: https://hubs.la/Q03HG2360 Is your team testing vibe coding yet, or still on the fence?

Let’s be real. You can ship software with a plain text editor. But why put up with friction when better options exist? In 2025, the best coding tools create a vibe that keeps you in flow. They shape your productivity, your focus, and even your motivation to open the laptop each morning. We put together the 10 Best Vibe Coding Tools for 2025 - the ones that make writing code feel smooth, creative, and Yes! Fun! Highlights: – Cursor IDE: AI pair programming that feels natural – Zed: Lightning-fast and built for collaboration – GitHub Copilot: Suggestions that match your style – Windsurf: An AI-native IDE that points to the future Explore the full list here: https://hubs.la/Q03GMFY_0 Any favorites we missed? Share them below.

We’re proud to be featured as the #1 company in a recent IBM Community article from Stylianos Kampakis: "Top 6 Software Development Companies in the USA"! 🚀 This recognition highlights what makes Azumo unique: - Our nearshore model with world-class teams across Latin America - Deep expertise in AI, cloud-native, and custom software development - Acting as trusted partners and virtual CTOs for our clients -A true commitment to diversity We’re honored to be recognized among other great companies, and we’ll keep pushing the boundaries of innovation for our clients every day. 👉 Read the full article here: https://lnkd.in/d94R7gJF #SoftwareDevelopment #AI #Nearshore #Innovation #DiversityInTech #IBMCommunity

This Labor Day, we celebrate the dedication, creativity, and resilience of the people who move industries forward. At Azumo, we’re proud to work alongside innovators who turn bold ideas into intelligent applications that shape the way we live and work. Enjoy a well-deserved break! And here’s to building what’s next.