Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning AI News, AI, AI tools, AWS Machine Learning Blog, Chida Sadayappan, Innovation, itinai.com, LLM, t.me/itinai 🚀 **Transform Your ML Projects with AWS's User-Friendly Tools!** 🌟 **Simplify Machine Learning with AWS's No-Code Options** 🔍 Machine Learning (ML) can be daunting and slow, often taking months and needing deep technical skills. But AWS's intuitive low-code and no-code ML tools, like Amazon SageMaker Canvas, let you craft and deploy ML models fast and code-free, opening up ML to everyone. 👨‍💼 **Why Deloitte Trusts AWS No-Code ML Tools:** - **User-Friendly:** Now, even those without coding skills can create ML models. - **Quick Tech Integration:** Embrace cutting-edge ML tech effortlessly. - **Budget-Friendly:** Save valuable time and funds while maximizing ROI. 🛠️ **Advantages of SageMaker Canvas:** - **Speedy Data Prep:** 300+ pre-made transformations and language features accelerate data setup. - **Streamlined Model Crafting:** Ready-to-go or AutoML options for swift, tailored model creation. - **Simple Model Launch:** A few clicks is all it takes to get your model live with SageMaker. 📈 Vishveshwara Vasa, Deloitte's Cloud CTO, spotlights a 30–40% boost in efficiency for ML development and rollout with these tools. 🏦 **Case Study: Predicting Loan Defaults with SageMaker Canvas:** - **No-Code Path:** Predict loan defaults to help financial firms manage risks and stay ahead. SageMaker Canvas eases the full ML process from data handling to live deployment on one platform. 🔑 **Key Steps in Data Prep and Model Crafting:** - **Interactive Data Work:** Explore and modify data without coding. - **Natural Language Features:** Apply data transformations using simple language. - **Data Export:** Move cleaned data and features into model development. 📲 **Deploying Your ML Model:** - After model creation, deploy effortlessly for instant predictions and smarter risk management. 🧹 **Tidy Up Tip:** - Don't forget to delete unused resources to cut extra costs. 🔚 **In Conclusion** - AWS's no-code ML offers a quicker, easier, and more budget-friendly route to ML development. Deloitte's adoption of these tools has slashed their ML model creation time significantly. ✍️ **About the Authors:** - Chida Sadayappan, Kuldeep Singh, and Kasi Muthu are seasoned pros at Deloitte and AWS, dedicated to propelling AI/ML forward. 🚀 **Elevate Your Business with AI:** - Enhance efficiency and keep your edge with no-code/low-code ML solutions. For more info, email hello@itinai.com and stay tuned on Telegram and Twitter for the latest in AI. 🔦 **Spotlight on Real-World AI:** - Check out the AI Sales Bot for 24/7 automated customer interactions. Discover at itinai.com/aisalesbot. 🔗 **Handy Links:** - Free AI Consultation on Telegram @aiscrumbot - How Deloitte boosts productivity using Amazon SageMaker Canvas: [Insert Link] - AWS Machine Learning Blog: [Insert Link] - Follow us on Twitter @itinaicom for updates!