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YouTube • 1y
AI relies on robust data management across 7 key components to build effective AI models: 1. sources, 2. ingestion, 3. storage, 4. transformation, 5. analytics, 6. governance and security, and 7. orchestration.
Data Engineer @Quant... • 1y
The Data engineering life cycle has the following 5 stages Generation: This is where data is created. Think of it as information being born. It can come from various sources like e-commerce sites, weather sensors, or even your favourite video games
See MoreHey I am on Medial • 2m
Healthcare should save time, not waste it. With AI Apps + Automation, hospitals & clinics can: 🏥 Automate patient appointment booking 🏥 Use AI chatbots for 24/7 medical queries 🏥 Predict patient health risks with AI analytics Smarter care, faste
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Urmila Info Solution • 3m
How we help founders build AI apps 5x faster — and 3x cheaper. We cracked the code: 🧠 100% AI-aligned team 🚀 Rapid prototyping 📱 Clean UI/UX ⚙️ Reusable components 📊 Real-time analytics from day 1 If you’re building: → AI App → SaaS Tool → Cust
See MoreFront end developmen... • 1y
Business trend that dominate in 2024 Digital Transformation: AI, IoT, VR/AR, cloud computing, blockchain, and 5G streamline operations and enhance productivity. Cybersecurity: AI helps detect and respond to cyber threats, emphasizing the need for ro
See MoreDirector & CEO @ Exc... • 20d
The global production landscape is undergoing a massive transformation, powered by AI and modern technology. This is how global corporations are rapidly building production capacities and resilience: * AI for Predictive Maintenance: AI analyzes mach
See MoreFounder and CEO - AI... • 6m
Is AI reshaping the world of software engineering? The distinction between AI and traditional software engineering is becoming clearer. Software engineering now goes beyond writing code—it encompasses designing robust software systems and architectu
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