Denisse Galindo Vite’s Post

In today's fast-paced world, real-time data analytics and AI-powered insights are keys to a competitive advantage. These capabilities can empower exciting use cases like advanced real-time threat detection, enriching streaming data using AI models, building a personalized experiences for customers, or building customized event-driven data pipelines. The trouble is, building such a system is usually either very expensive or very complex. I'll be co-presenting a session at Google Cloud Next with Pinaki Mitra and Pavan Edara to talk about a new BigQuery feature to address these challenges natively within SQL! So if you are going to be at Google Cloud Next, be sure to sign up! https://lnkd.in/g9U4GN4H #googlecloud #bigquery #googlecloudnext #dataandai #bigdata

Vector search and embeddings are no longer unfamiliar terms in the booming space of Generative AI, especially when enterprises want to avoid hallucination and ground their data using RAG. I have just published a new article that explores how Google Cloud simplifies vector search and embeddings across 3 main product families: 1️⃣ Transactional database AlloyDB 2️⃣ Enterprise data warehouse BigQuery 3️⃣ Unified machine learning platform Vertex AI 📢 Dive into this in-depth article to learn the concepts, tools, and sample implementations: https://lnkd.in/eNBqm5ab #GoogleCloud #GenerativeAI #RAG #Embeddings #VectorSearch

I recently contributed some code to the open-source Apache Airflow platform, and I wrote a blog about it! Read ahead to learn how to integrate generative AI like Google Gemini into your data pipelines! #airflow #google #googlecloud #gcp #composer #data #dataanalytics #bigdata #ai #gemini #generativeai #llm

Even though developments in smaller language models are compelling, the bigger is better model size trend continues. During his keynote at Kisaco Research’s MEMCON 2024 event in Mountain View, CA in March 2024, Ziad Kahn, GM, Cloud AI and advanced Systems at Microsoft, noted that LLM size grew 750x over a two-year period ending in 2023, compared with memory bandwidth growth of just 1.6x and interconnect bandwidth of 1.4x over the same period. My latest post for Data Science Central on Gen AI's memory wall: https://shorter.me/Q1lPm

Now this is a session you won’t want to miss! Join Anthropic and Google Cloud live on August 28th at 11:00 AM PDT for a deep dive into prompt engineering best practices for Anthropic’s Claude models on Vertex AI. You’ll learn how to: ✍️Write high-quality and clear prompts that get the best results from Claude 🛠️ Integrate Claude with other tools and data sources, including best practices for Retrieval-Augmented Generation (RAG) 📝Use Claude to improve common engineering tasks and solve real-world challenges Register today → https://goo.gle/46SsClX #GoogleCloudPartner #VertexAI #GoogleCloud

Is your data primed for the next wave of AI innovation? Now unlock the Full Potential of Generative AI with Data Readiness! Discover how Quantiphi and Amazon Web Services (AWS) are empowering businesses to harness the power of Generative AI by ensuring data readiness. From enhancing data quality to optimizing infrastructure, we’ve got you covered! Dive into our latest blog to explore how we’re driving innovation through intelligent data solutions: https://lnkd.in/gBiEgJfC, penned by Sanchit Jain. #GenerativeAI #DataReadiness #AIInnovation #AWS #Quantiphi #DataAnalytics #DigitalTransformation #AWSPartner #QuantiphiXAWS #SolvingWhatMaatters

Murat Özcan Sami Akbay İlker Mutluer I am very excited about this session. I’m sure it will be one of the best ones of #GoogleCloudNext24! Murat Özcan thanks in advance for joining this panel with these wonderful participants! #Trendyol #BigQuery #DataMesh #AI #ML

Greetings, partners! Check out how Couchbase is differentiating itself from the competition if you want to boost your revenue stream quickly.Three Big Updates for #Couchbase: JSON Analytics, AI at the Edge, & Free Tier - Exclusive Partner Webinar on Oct. 2

Azure AI Search has dramatically increased storage capacity and vector index size for new services at no additional cost. In addition, vector search now supports quantization, narrow numeric types for vectors, and has options to reduce vector field storage overhead (in preview).

Unlock the power of machine learning for your entire team! If you're leveraging Google Cloud's BigQuery for ML models, you're already ahead. But why stop there? Integrate BigQuery with DataChat generative AI analytics platform and let your business users tap into those models effortlessly. No code, no hassle. Just insights.