How to deploy AI systems effectively with Branislav Popović

Too often, organizations focus on building AI strategies without first strengthening the foundation that truly makes AI work — their data. Ask yourself: are you relying on flat tables, or have you invested in fully relational, traceable datasets that give your models real depth and context? And just as importantly, does your AI tooling integrate human logic and understanding, or is it operating in isolation? Andy Brennan explores these critical questions in IBISWorld’s latest article on building smarter AI through smarter data. 👉 Read more here: https://lnkd.in/e5H3s-Hz

Today, our team debated two simple but powerful questions: 1. Does this problem actually need AI — or can it be solved deterministically? 2. If it needs AI, does it really need to be agentic? That conversation helped us focus on 'fit for purpose' design rather than chasing complexity (or saying "we do AI"). This Anthropic piece, “Building Effective Agents,” does a great job breaking down when agentic architectures make sense — and when simpler workflows win. This paper was referenced to help align teams so I highly recommend it to you and your team. 👉 https://lnkd.in/gKm2mT8q #AI #AgenticAI #EngineeringLeadership #ProductThinking

Beyond the Hype: 8 Practical Truths About AI Implementation from Chip Huyen pEight practical lessons on implementing AI, emphasizing user experience, data quality, and pragmatic approaches over theoretical perfection or the latest tec…/p

Beyond the Hype: 8 Practical Truths About AI Implementation from Chip Huyen pEight practical lessons on implementing AI, emphasizing user experience, data quality, and pragmatic approaches over theoretical perfection or the latest tec…/p

A must-read for anyone building the next wave of intelligent systems. Great insights from InfoQ latest AI, ML & Data Engineering Trends Report 2025. The report highlights a key shift in the AI landscape. It’s no longer just about building bigger models, but about creating stronger data pipelines that connect structure, context, and meaning. We see this evolution as the foundation of creative intelligence. AI and ML models need more than visual data; they need metadata that helps them understand composition, context, and intent. With over 232 million rights-cleared images, videos, and vectors enriched with structured metadata from a global creator community, 123RF is helping businesses train AI that truly learns. Through our Content Licensing and AI Data Solutions, we provide datasets built for accuracy, scale, and ethical clarity. The future of AI is not just about generation, it’s about creation that’s meaningful, responsible, and intelligently powered by quality data. 🔗 Read the full report on InfoQ: https://lnkd.in/dRSW8rpJ #AI #MachineLearning #DataEngineering #123RFAIML #AIML #InfoQ

Excited to share my latest Medium article — “The Hidden Engine of AI: A Deep Dive into MCP” ⚙️ In this piece, I uncover how the Model Context Protocol (MCP) is transforming AI models into powerful, connected systems — bridging tools, APIs, and data for smarter automation and seamless integration. If you’ve ever wondered how AI actually interacts with the real world — this is for you! 👉 Read here: https://lnkd.in/gqCBN2Wt #AI #MachineLearning #MCP #Technology #ArtificialIntelligence #Medium #Innovation

Will context define the next era of intelligent systems? AI platforms are only as accurate as the data they’re given. But context engineering could help platforms sort data and deliver at scale. Read more: https://lnkd.in/enAVbTma Partner Content by Moody's #AI #bankingtransformation #innovation Moody's Analytics

The article discusses the rapid advancement of AI models and the emerging need for multi-agent systems that can collaborate to tackle complex tasks more effectively. I found it interesting that as developers recognize the limitations of singular models, they're increasingly turning to systems of specialized agents. This shift opens new possibilities for enhancing productivity and innovation in various fields. What are your thoughts on the role of multi-agent systems in the future of AI development?

Quantexa Makes Its Decision Intelligence Platform ‘Agent Ready’ to Solve the Hardest Problems in AI: Data Fragmentation & Context Read more: https://lnkd.in/dm3fsqaM #IndiaTechnologyNews #Quantexa #DecisionIntelligence #AIInnovation #AgentReady #DataFragmentation #ContextualAI #EnterpriseAI #DataAnalytics #ArtificialIntelligence

Is your AI silently degrading in production? Model drift is the invisible killer undermining your applications' performance. This practical guide dives deep into MLOps observability, equipping you with strategies to detect and manage AI model drift proactively, ensuring your systems remain reliable and accurate. Master AI resilience and prevent costly failures. Read the full guide now: https://lnkd.in/gKuaQ-2Q #MLOps #AI #ModelDrift #Observability #MachineLearning #DataScience