We’ve been putting our BDXpy platform to work with machine learning to tackle one of the biggest challenges in building operations: demand forecasting.... Combining BDXpy’s robust access to building data & ML models we can generate predictions of energy demand at the plant and building level. This unlocks smarter scheduling, better load management, and ultimately lower operating costs. One of many ways we are exploring how BDXpy + AI can transform building analytics. #BDXpy #BuildingAnalytics #MachineLearning #DemandForecasting #SmartBuildings
How BDXpy and machine learning improve demand forecasting in building operations
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Heard of Machine Learning but not sure how it applies to your business? 🤔 It's simpler than you think! Swipe through our quick guide to Demystifying Machine Learning and discover the key concepts that are transforming businesses everywhere, from predicting customer needs to optimizing operations. What's the one business challenge you would love to solve with machine learning? Let us know in the comments! 👇 💡 Don't get left behind! SAVE this post as your essential guide to understanding ML! ↗️ #MachineLearning #AIforBusiness #DataAnalytics #Innovation #TechExplained #BusinessGrowth #AstratechzSolutions #FutureofWork #ML #DigitalTransformation #TechTips
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It’s kind of wild that in the era of GenAI, I’m seeing more posts than ever about overfitting, R-squared, and other fundamental statistical concepts in machine learning. What’s even crazier is that, despite all the GenAI hype, most companies still aren’t using it for the majority of their use cases. Traditional statistical machine learning remains the most effective approach for many data-driven solutions. Sometimes, we just need to take a step back and revisit the basics.
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Daniel Nirmal Raja, Support Engineer ClickHouse, is sharing his insights on “Powering AI Agents with Real-Time Analytics”, exploring how Clickhouse enables high-performance data processing and actionable intelligence. #Clickhouse #ACD2025 #AWSVAD2025
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Quick question for you: Did our rock concert approach to explaining Machine Learning strike a chord with you? And yes, the pun was intended! Ahead of our second blog, coming out later this week, we've just launched a section on our website where all the blogs will be available as we release them. Think of it as your go-to-guide for cutting through the ML hype (or bullsh*t). Blog 2 drops on Thursday, get ready! https://lnkd.in/efPfkWPx #ArtificialIntelligence #MachineLearning #AIForBusiness #MLUnplugged
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Do you know how Machine Learning really works? It’s more than buzzwords—it’s about algorithms learning patterns from data and improving over time. In this video, our CTO, Agustin Sanchez breaks it down in a clear, technical way. Watch and see how ML is shaping the future of financial services. #MachineLearning #AIinFinance #FinTechInnovation #BankingTechnology
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Solving business problems with data science and AI/ML isn’t about hurling models at data and hoping for magic. Around 70% of the real work happens before modeling. Understanding the problem, surfacing pain points, preparing data, and aligning with business goals. The remaining 30% is model development and deployment. A technically brilliant model means nothing if it’s disconnected from context. That’s where humans come in, to interpret nuance, ask the right questions, and ensure solutions actually solve the problem. Human insights transforms algorithms into impact. It’s not optional, it’s the engine behind relevance and results. 📊🧠 #fridayInsights #dataAI #machinelearning #businessproblem #solved #aiml
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Empower customers with competitive differentiation in their enterprise digital journey by LISTENING and SOLVING
Can data modeling be faster, smarter, and more efficient? Absolutely. Learn how AI agents reshape data engineering by simplifying complex processes and unlocking insights from raw data. Dive into our White Paper to discover more: https://sftsrv.com/vsZbuS
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Can your data modeling be faster, smarter, and more efficient? Absolutely. Learn how AI agents are reshaping data engineering by simplifying complex processes and unlocking insights from raw data. Dive into our White Paper to discover more: https://sftsrv.com/yxKBlZ
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Fast-forward to 2030… 💨 ✅ Every tool has AI ✅ Everything is automated But here’s the truth: even in that future, you’ll still need to make the hard calls. And right now in 2025, most teams are still buried under disconnected tools, shadow spreadsheets and hours wasted reconciling numbers… making you less confident in your decisions. This week’s story for the trenches covers: →The one shortcut to make AI useful today →How to future-proof your stack so you’re ready for 2030, and beyond →Why clean, connected data is your real competitive edge 📬 Join the 15K+ FP&A pros getting sharp and practical insights every Sunday. 👉 Subscribe: https://bit.ly/44Hj2S2
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⏪ Catching up on missed reads? Two weeks ago we published a deep dive into ranking machine learning models—and it’s still a hot topic. 🔥 Want to avoid overfitting, bad model picks, and business misalignment? Start here → https://buff.ly/oAh7luS 💬 Drop your favorite evaluation metric in the comments! #AIBestPractices #MachineLearning #DataDrivenDecisions
