Tag: AI data cycle
The AI Data Cycle: Understanding the Optimal Storage Mix for AI Workloads at Scale
While AI is transforming lives and inspiring a world of new applications, at its core, it’s fundamentally about data utilization and data generation. As the AI industry builds-out a massive new infrastructure to tra Read more…
November 13, 2024
- Nutanix Extends AI Platform to Public Cloud
- Snowflake Expands Capabilities for Enterprises to Deliver Trustworthy AI into Production
- DataRobot Announces AI-Ready Data to Empower AI Teams
- Hitachi Vantara Expands Hybrid Cloud Storage Platform with Object Storage, All-QLC Flash and Advancing Cloud Integration
- CTERA Delivers Next-Generation Data Observability with CTERA Insight Service
- Snowflake’s Unistore Unifies Transactional and Analytical Data with the General Availability of Hybrid Tables
- DataRobot Announces Industry-First Generative AI Tooling to Secure AI Outcomes
- SAS Acquires Hazy Synthetic Data Software to Boost Generative AI Portfolio
- RelationalAI Knowledge Graph Coprocessor is Generally Available as a Snowflake Native App
- Fivetran Collaborates with Microsoft to Accelerate AI Innovation with Scalable Data Solutions
November 12, 2024
- Snowflake Strengthens Leadership in Cross-Cloud Collaboration for Enterprise Data and AI
- Alteryx Announces Streamlined Enhancements for Hybrid Analytics Processes and Workflows
- LandingAI Announces General Availability of LandingLens as Snowflake Native App on Snowflake Marketplace
- KX Supercharges Python Workloads with kdb+ Speed and AI/ML Library Integration
- Alation’s New Partnerships Enable Unified Data Access Across AWS, Microsoft, and More
- Iris.ai Unveils AI-Powered Tools to Unlock Deep Knowledge in R&D Data
- Snowflake Advances Industry-Leading Platform to Help Enterprises Bring Simplicity to Data and AI
- Micron Introduces High-Capacity 60TB SSD for Optimized Data Ingest and Preparation
- VDURA Unveils Next-Gen Data Platform with Enhanced AI and HPC Performance
- DataRobot Introduces Enterprise AI Suite to Develop and Deliver Generative AI Applications