NAM Info Inc

Fraud doesn’t wait. Neither should you. ⚠️ Detect in real-time Act instantly Prevent losses AI-powered fraud detection for BFSI 🚀 #FraudDetection #FinTech #AI #CyberSecurity #Banking #Data #RiskManagement #NAM #Inferyx

If your data pipeline can’t scale… it will fail. ⚠️ Batch-heavy ❌ Hard-coded ❌ AI-ready? Nope ❌ 🚀 Time to modernize with NAM + INFERYX #DataPipelines #BigData #AI #DataEngineering #Scalability #Cloud #DataOps #ModernDataStack #NAM #Inferyx

Legacy data pipelines = bottlenecks 🚫 Batch-heavy ⚠️ Hard-coded ⚠️ Not scalable ⚠️ Not AI-ready ⚠️ More data shouldn’t mean more complexity. 🚀 Time to modernize with NAM + INFERYX #DataPipelines #BigData #AI #DataEngineering #Scalability #ModernDataStack #ETL #Cloud #DataOps #NAM #Inferyx

𝗪𝗼𝗺𝗲𝗻 𝗪𝗵𝗼 𝗜𝗻𝘀𝗽𝗶𝗿𝗲 𝗨𝘀 Meet Chaitra S, Assistant Manager – Staffing at NAM. Her journey reflects dedication, leadership, and a commitment to empowering teams and driving meaningful impact. Celebrating the inspiring women who continue to grow, lead, and make a difference every day. 💙 #InternationalWomensDay #GiveToGain #NAM #WomenWhoInspire #WomenEmpowerment #WomenInLeadership #WomenAtWork #WomenInTech #SheLeads #WomenSupportingWomen #CareerGrowth

Our CTO Mr. Balaji Krishnamoorthy is representing NAM at the Gartner Data & AI Summit, Orlando (Mar 9–11). If you're attending, connect with him to discuss insights on Data & AI. #GartnerDAISummit #DataAI #TechLeadership #AIInnovation

Launching our Women Who Inspire Us – IWD series with Ananya Das, Lead Executive – Staffing at NAM. Celebrating inspiring women whose journeys drive growth and impact. ✨ #InternationalWomensDay #GiveToGain #NAM #WomenWhoInspire #WomenEmpowerment #WomenInLeadership #SheLeads

AI without unified metadata = black box risk. Observability starts with lineage, governance, and traceability. The future of AI is explainable. #AIObservability #UnifiedMetadata #ExplainableAI #DataGovernance

Warehouse vs Lake vs Lakehouse. Which one does your business actually need? 🏢 Warehouse → BI 🌊 Lake → Raw scale 🏗️ Lakehouse → BI + AI Architecture decisions impact performance, cost & governance. DM for a custom consultation. #DataArchitecture #Lakehouse #DataEngineering #BigData #Analytics

Top 3 Data Governance mistakes: ❌ No ownership ❌ IT-only approach ❌ Reactive data quality Strong governance = better decisions + lower risk. Follow for weekly governance insights. #DataGovernance #CIO #Analytics

Your data team doesn’t need more tools. It needs alignment. Inferyx empowers: 👨‍💻 Engineers 📊 Analysts 📈 Business Leaders One platform. Zero silos. Real decisions. Which role are you? #DataEngineering #Analytics #AIInfrastructure #ModernDataStack #SaaS #EnterpriseAI

Your AI won’t fail because of the model. It’ll fail because of your data stack. Here are the 5 components every modern stack needs . #DataStack #DataEngineering #AnalyticsEngineering #AI #DataGovernance

MLOps isn’t just about models. It’s about metadata. Lineage. Versioning. Reproducibility. Explainability. That’s how AI scales responsibly. #MLOps #Metadata #EnterpriseAI #ResponsibleAI #Inferyx

Scalability isn’t a data problem. It’s an architecture problem. Why API-driven data architecture is the foundation of scalable enterprise systems 👇 bit.ly/4rjz0vG #DataArchitecture #APIDriven #EnterpriseData #DataEngineering

Without governance: • Data quality drops • Trust erodes • Decisions slow #AIGovernance #ResponsibleAI #EthicalAI

AI adoption is accelerating. AI governance? Not so much. That gap is becoming one of the biggest risks in enterprise AI. 🧵👇 #AIGovernance #ResponsibleAI #EthicalAI #EnterpriseAI #TrustworthyAI #AILeadership

egacy ETL tools weren’t built for today’s data speed. Automation > manual pipelines. Adaptability > constant fixes. ▶️ Watch the shift #DataEngineering #ETL #ModernDataStack #DataAutomation

Business glossaries are underrated—but they power trusted data. 👉 Swipe to master your Data Glossary in 5 steps Need help building yours? Contact us. #DataGovernance #Metadata #EnterpriseData

Stop doing manual data lineage. Start automating with metadata. ▶️ Read more (bit.ly/4qizW2r) #DataAutomation #Metadata #DataLineage #Inferyx

ETL ➝ ELT ➝ Automation Be honest — where is your data pipeline today? 👇 🧱 ETL ☁️ ELT 🤖 Automating now The future is metadata-driven. #DataPipelines #DataAutomation #Inferyx #DataEngineering #TechTwitter #AIData

Great experience attending the GCC Leadership Conclave by @leadershipfederation—insightful discussions on GCC vision, tech & talent. Thank you to the organizers and leaders for a fantastic forum. Ashish Ranjan | VP – Sales| NAM Info #GCCLeadershipConclave #GCCIndia #Leadership #TechAndTalent #Networking