Techment Technology

The Silent Drivers Of Healthcare’s Technology. Healthcare is about to change radically in terms of cost, quality, availability, personalization, and most significantly – the outcomes. @techmenttech bit.ly/3v6s60c RT @antgrasso #HealthTech

3 Days to Go! We're at #FabCon2026 Atlanta — March 16 ✅ Fabric Migration ✅ GenAI & RAG ✅ Data Modernization Meet Rupesh & Ryan techment.com #MicrosoftFabric #Techment

Domain-driven. AI-ready. Governance-embedded. That's the new enterprise data migration standard. McKinsey: enterprises that modernize pipelines during migration are 2.5× more likely to hit analytics ROI targets. The 2026 CTO playbook → techment.com/blogs/data-mig… #DataMigration

Congrats Somya Ranjan Patra on achieving the Microsoft Azure Data Scientist Associate (DP-100) cert! 🚀 Proud of you! #Techment #AzureDataScientist

@techmenttech 80% failure rate because of data prep yeah, that tracks. I've personally spent entire sprints just fighting inconsistent schemas and missing values.Automation can't come soon enough. Appreciate the reality check + resource🙌 Will give the whitepaper a read this week.#DataQuality

AI doesn't fail because of bad models. It fails because of bad data. 📖 Read the full blog — link in comments! techment.com/blogs/data-qua… #DataQuality #EnterpriseAI #ResponsibleAI

80% of AI projects fail — not because of models, but because of data. Companies automating data prep cut manual work by 80%. Is your data actually ready? Read the full research: lnkd.in/e6Pqy7X2 #DataQuality #AI #MachineLearning #DataEngineering #ML

What's your biggest data challenge heading into AI adoption?

Every Fabric migration has a gap. Do YOU find it first? ❌ Gaps in production ❌ Budget overruns ❌ BI reports breaking ✅ Map gaps before you build ✅ Cost & ROI upfront ✅ Phased roadmap ready techment.com/partnership/mi… #MicrosoftFabric

We're heading to #FabCon2026 in Atlanta (March 16–20)! Meet the @Techment team & discover how to turn your data into AI-ready intelligence with #MicrosoftFabric See you there! 👋 techment.com/events/fabcon-… #DataAI #Azure #OneLake #Microsoft

Congratulations Harshal Holam on being Techment's Performer of the Month — January 2026! Your dedication, commitment & invaluable contributions make us proud every day. Keep shining! techment.com #Techment #PerformerOfTheMonth #Congratulations

AI is only as fast as its data. Microsoft Fabric RTI turns streaming events into instant decisions using Eventstreams, Eventhouses, and KQL. Detect fraud, personalize journeys, and act in seconds. lnkd.in/dHgKZ8bY #MicrosoftFabric #AIAnalytics

Your data deserves better than silos. Techment + @Microsoft = unified data, real-time AI, and enterprise-grade governance — all in one platform. Powered by #MicrosoftFabric. Delivered by experts. 👉 techment.com/partnership/mi… #Azure #DataAI #DigitalTransformation

What's the #1 reason AI projects stall in your organization? We help enterprises solve all four. 👉 techment.com/solutions/ai-s… #EnterpriseAI #AIModernization #Poll.

Super excited about GPT-5.2 from our partners at OpenAI. Making it natively part of the Microsoft tools people use every day along with your work data helps all the new model capabilities shine. The pace of progress continues to accelerate. GPT‑5.2 brings together GPT-5.2 Thinking—built for solving harder problems, long-context reasoning, coding, spreadsheets, and presentations; and GPT-5.2 Instant—an efficient model for everyday writing, translation, and skill-building.

Experiment. Try things. Don’t be afraid of the possibility of failure. Today’s AI environment allows for quick tests and rewards those who follow unexpected findings. Learn more from Microsoft Chief Technology Officer @kevin_scott’s recent insights for founders shared at @southpkcommons. 🔗: msft.it/6018tonLe

Our newest AI accelerator Maia 200 is now online in Azure. Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems. And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads. It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure.

Most enterprises are chasing AI before their data is ready to support it. The AI-ready enterprise starts with trusted data — not the algorithm. We're taking this perspective to #FabCon2026 in Atlanta. ln.run/35r2Y #FabCon #MicrosoftFabric #Enterprise

Although the cloud promises increased productivity, things can be dangerous if companies neglect security, resilience, and controls. Here are what the vulnerabilities might be. Source @techmenttech Link bit.ly/3yhm4gO rt @antgrasso #CloudComputing #CyberSecurity