Ricardo Ferreira’s Post

📢 For any of my connections in JPMorgan Chase & Co. looking into AI use cases this year 📢 Want to learn more on how MongoDB simplifies bringing Generative AI and semantic search capabilities into real-time applications? Feel free to reach out. #genai #mongodb #fsi

🔥 🚀 MongoDB Emerges as a Launch Partner for Amazon Web Services (AWS) Generative AI Competency! 🌟 According to a deep dive by McKinsey & Company, generative AI is about to change the game big time as #GenAI technologies have the potential to automate work activities that absorb 60-70% of employees’ time... #GenerativeAI is not just a buzzword for 2024; it's the future, and we're stoked to help our customers and developers ride the wave. 🏄♂️ 🌊 🏄♀️ Learn more ➡ https://lnkd.in/g-MNc7dq #MongoDB #GenerativeAICompetency #LaunchPartner #AWS #GenAI

Hot off the press - MongoDB is named as a Amazon Web Services (AWS) Generative AI Competency Launch Partner 🎉 🎉 🎉 🎉 🎉 McKinsey & Company completed a report that states generative AI technologies have the potential to automate work activities that absorb 60-70% of employees’ time... Generative AI is going to be a huge topic for 2024 and beyond. We are excited to support #GenAI developments in our customers. #mongodb #generativeaicompetency #launchpartner #aws https://lnkd.in/eTYyghaP

🚀 Exciting News from APPGAMBiT! 🚀 We are thrilled to announce that our very own AWS Hero, Dhaval Nagar, will be speaking at this year’s AWS re: Invent. Join us for an insightful session where Dhaval Nagar will demonstrate how #AmazonBedrock and Claude 3 Haiku revolutionized picture searching in the textile sector. Session Title: Searching Images through Patterns: An AI-powered Serverless Solution Session ID: DEV204 Speaker: Dhaval Nagar, AWS Hero Topic: AI/ML, Serverless Compute & Containers Session Type: Breakout Session In this session, he will showcase how AI-driven attribute recognition, combined with AWS services like AWS Lambda, Amazon Aurora Serverless, AWS Step Functions, and Amazon API Gateway, creates a scalable, safe, and efficient image pattern search system. Whether you’re passionate about AI/ML, serverless computing, or containers, this is a must-attend session to gain practical strategies and deep insights. Save the date and add this to your favorites! #AWSreInvent #AWSHero #AI #Serverless #ImageSearch #AppGambit #TechInnovation #TextileAI

🚀 Check out our latest blog post: "AWS Serverless Product Recommendation: Powered by k-NN with OpenSearch"! Learn how to leverage the k-NN model, AI, and serverless architecture for smarter product recommendations. Perfect for AI and cloud enthusiasts! 🌐🤖 #AI #kNN #Serverless #AWS #OpenSearch https://lnkd.in/e8ENQeNu

BOOM! Some of the best names in AI coming together to offer a comprehensive & flexible set of capabilities. Reach out if you would like to know more. We just announced the MongoDB AI Applications Program (MAAP) empowering organizations of all sizes to adopt #GenAI more quickly and confidently using MongoDB and its partner ecosystem. Read on! https://lnkd.in/gwE8HhMs #GenAI #MongoDB

More interesting sessions that I founds from the big list of re:Invent videos: AWS re:Invent 2024 - [NEW LAUNCH] Practical generative AI using Amazon Nova (AIM398-NEW) https://lnkd.in/eyp2Hs-B A re:Invent recap wouldn’t be complete without mentioning Nova. Amazon is clearly positioning itself as the go-to provider for running GenAI workloads, offering vertical integration across silicon, models, and services. Nova may not outperform Claude in every area, but it’s nearly as capable—and significantly more cost-effective. I’m excited to explore its potential in upcoming projects. AWS re:Invent 2024 - Deep dive into Amazon Aurora DSQL and its architecture (DAT427-NEW) https://lnkd.in/e3gBcwsk This is another can’t-miss AWS launch—Aurora DSQL. If you’re into the technical details, this session provides a fascinating look into the system’s design. While there are some current limitations (no temp tables, no foreign keys, and limited PostgreSQL compatibility), it’s still incredibly interesting. With strong competition in the hosted Postgres space, it’ll be worth watching how this service evolves. AWS re:Invent 2024 - Unlocking AWS modernization with Migration Acceleration Program (MAP) (PEX307) https://lnkd.in/ek3DVVm2 This session provides a solid overview of modernization pathways supported by the Migration Acceleration Program (MAP). The business benefits presented here align with what I’ve observed firsthand in successful cloud modernization projects. If you’re considering modernization, this is worth your time. If there are any other sessions you found interesting or have comments on the above let me know! #aws #reinvent #cloud #ai

Some key takeaways from the AWS Summit in Bengaluru could include: 1. **Latest AWS Services:** Updates on the newest AWS services and features, including any launches or previews announced during the event. 2. **Best Practices:** Insights into best practices for cloud architecture, migration, security, and optimization to help businesses make the most of their AWS infrastructure. 3. **Customer Stories:** Real-world case studies and success stories from businesses leveraging AWS for innovation, scalability, and cost savings. 4. **Technical Insights:** Deep dives into technical topics such as serverless computing, containerization, AI/ML, IoT, and big data analytics. 5. **Networking Opportunities:** Opportunities to connect with AWS experts, partners, and other attendees to exchange ideas, learn from each other, and build professional relationships. 6. **Certification and Training:** Information about AWS training and certification programs to help individuals and organizations enhance their skills and stay competitive in the cloud industry. 7. **Community Engagement:** Engagement with the local AWS community, including user groups, meetups, and special events, to foster collaboration and knowledge sharing. I hope we will build some magical solutions around AI, ML, LLM, Amazon Q, Bedrock and SageMaker 😊 #AWSSummit #AWS #CloudInnovation #GenerativeAI #AmazonBedrock #SageMaker #AmazonQ #QuickSight #OpenSearch #Redis #AmazonTranscribe #DataAnalytics #MachineLearning

我很高興分享我已完成了 DeepLearning.AI, Amazon Web Services (AWS) Web Services的新資格認證：Generative AI with Large Language Models！ I've just earned a certificate in "Generative AI with Large Language Models" from DeepLearning.AI and Amazon Web Services (AWS) Web Services, where I learned to build and deploy AI models. The course covered transformer architectures, fine-tuning for specific tasks, and best practices for model evaluation and deployment. https://lnkd.in/gVGyzdHN #GenerativeAI #LargeLanguageModel #DeepLearningAI #AWS #Transformer

Curious about how vector databases are transforming AI-driven apps? 🤔 By using embeddings, vector #dbs enable retrieval-augmented generation (#rag) to access and organize vast data more efficiently. This blend of natural language understanding with rapid retrieval is opening doors for smarter search and recommendations, driving innovation across industries. 🚀 If you plan to pursue #AI apps at scale, you will likely need to adjust your data architecture to support the demands of #LLMs. Here are some of the best options: - Pinecone Optimized for real-time similarity search. Pinecone is scalable, fast, and integrates easily with machine learning models to handle high-dimensional vector data. Available in #AWS Cloud/Marketplace - https://lnkd.in/eJksizJM - Qdrant Designed for efficient similarity search with filtering, making it highly effective in RAG pipelines. Qdrant supports distributed search across clusters, which is crucial for large-scale data. Redis and ElasticSearch also have vector support but can be costly to scale (memory/performamce). #AI #DataScience #RAG #CTO