Tobias Krüger’s Post

September is going to be a fresh start after a well deserved summer break ☀️ don't miss our Snowflake event where we will share all about our latest and exciting capabilities around advanced analytics, ML & AI and much more! #analytics #data #aws #ML #AI

Harness the power of Google's Data Cloud for next-level generative AI – join our March 7th webinar to explore the latest innovations in BigQuery, Looker, and AlloyDB for PostgreSQL

🚀 Join me for a special session on Dataiku & AWS! January 16th, 11 am EST | 📍 Virtual Event 🔍 Session Highlights: 1️⃣ Introduction to Dataiku: Explore the robust features of Dataiku and how it empowers organizations to accelerate their data science journey. 2️⃣ AWS Integration: Uncover the seamless integration possibilities with AWS, unlocking unprecedented scalability and performance for your data projects. 3️⃣ Use Cases: Building a RAG-based chatbot using Amazon Bedrock and Dataiku Tag your data-savvy friends! Let's dive into the future of data together. 🚀🔍 #Dataiku #AWS #DataScience #TechEvent

56% of data science leaders say they need help scaling their AI projects the right way for their organization. What’s the wrong way to scale? Piling up cost, complexity and risk. Snowflake’s data and AI platform was designed with these problems (and the consequences) in mind. No wasteful cost from over provisioned compute, time spent managing cloud infrastructure and managed Spark and hidden costs that only show up on other bills. No needless complexity from manually configuring your cloud infrastructure and toolset, plus the choice overload of what engines, storage and services to use. No major risks from pulling data outside your governance and security framework as you experiment with different AI tools, LLMs and GenAI applications. Just a single unified data and AI platform with one engine, one storage layer and one governance framework, that we manage so your teams don’t have to. Simplify your data foundation. Accelerate success with AI. Scale with applications. That’s Snowflake. Learn more in this outstanding webinar tomorrow, right after Data for Breakfast here in Austin:

As the triple Partner of the Year award winner ⭐⭐⭐ from Snowflake, Databricks, and AWS, Dataiku invites you to dive deeper into Generative AI on AWS. 🚀 Learn to optimize your AI workflows using Amazon SageMaker, Bedrock, S3, and Redshift. Gain insights into seamless integrations with Snowflake and Databricks, empowering your business with enhanced data capabilities. Register now to transform the way you harness AWS for AI-driven growth! https://bit.ly/3H8Bckq #InnovateWithAI

Join our AI Data Cloud Hands-on Lab Lunch and Learn on September 24! Hosted on Zoom, this event is tailored for executives and technical data practitioners eager to explore the cutting-edge capabilities of the Snowflake AI Data Cloud. Why Attend? - Discover Advanced Analytics with Generative AI: Learn how to leverage generative AI for more insightful and sophisticated data analytics. - Explore Geospatial AI and ML: Dive into the world of geospatial AI and machine learning with Snowflake Cortex. - Master Iceberg Tables: Understand how to efficiently manage Iceberg Tables for open Data Lakehouses. - Fine-Tune Large Language Models: Gain practical skills in fine-tuning LLMs using Snowflake Cortex AI. Register Today: https://okt.to/hQm7vF

The Snowflake Data Cloud Summit 2024 was an event to remember, filled with excitement and novel discussions. The summit created a buzz around • AI and ML model development • Intelligent, data-driven applications • Seamless enablement in the data community. In Blend's latest blog, I delve into the notable highlights from the event. It was inspiring to see the energy and enthusiasm of all the attendees and speakers. The future of data looks incredibly bright! #SnowflakeSummit2024 #Snowflake #SnowflakeSquad #DataCloud #Data #AI #MachineLearning #DataDriven #TechInnovation

As the Snowflake Data Cloud Summit 2024 came and went, it's clear that the company is not just keeping pace with the rapidly evolving landscape of AI and data-driven applications but is actively shaping it. ❄️ With groundbreaking product announcements, strategic partnerships like the ones with NVIDIA and Amazon Web Services (AWS), and a vision that seamlessly integrates AI, ML, and advanced data management, Snowflake is poised to lead the industry into the future. Whether you’re a developer, data scientist, or business leader, Luke Turanski, Lead Data Engineer at Blend, covers everything you missed at this year's Summit in his recap 🔗 https://bit.ly/4d6M5BJ #AIInnovation #MLInnovation #AIforBusiness

Snowflakes with AI: Snowflake's advantage with AI lies in its architecture and scalability. Snowflake is a cloud-based data warehouse that can handle massive amounts of data and scale resources dynamically, which is essential for AI applications that often require processing large datasets. Additionally, Snowflake's support for semi-structured data like JSON and Parquet makes it suitable for storing diverse data types commonly used in AI projects. Its separation of storage and compute resources allows for efficient utilization of resources, reducing costs and enabling faster processing times for AI workloads. Overall, Snowflake's flexibility, scalability, and performance make it a strong choice for AI applications compared to traditional databases. #snowflake #database #AI #cloud

Time to geek out 🤓 and get hands on 👋 at the Snowflake #datacloudsummit. Here's our coverage of the Day 3 Builder's Keynote, which sees the return of season 2 of the 'Tasty Bytes' series. The Snowflake product and developer advocate team walked us through 3 use cases: 1. Customer review sentiment analysis using an LLM 2. Customer service document chatbot using vector store; 3. Customer network analysis, leveraging Relational AI graph analytics through the Snowflake Marketplace. Read our blog for the full recap! https://lnkd.in/ddFw7PKt