In the news
Getting Ahead of Shadow Generative AI
Like any new technology, a lot of people are keen to use generative AI to help them in their jobs. Accenture research found that 89% of...
From fear to abundance: Rethinking job security in the age of generative AI
Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. Leaders...
What’s a NIM? Nvidia Inference Microservices is new approach to gen AI model deployment that could change the industry
At Nvidia GTC today, the AI giant is announcing its Nvidia Inference Microservices (NIM) software technology, which packages optimized...
Nvidia launches NIM to make it smoother to deploy AI models into production
At its GTC conference, Nvidia today announced Nvidia NIM, a new software platform designed to streamline the deployment of custom and...
DataStax makes AI tuning on enterprise data much faster in Astra DB
DataStax offers Astra DB as a NoSQL database. These types of databases are aimed at large volumes of data and low latency, things that suit...
DataStax and Airbyte Partner, Enable Developers to Ingest and Vectorize Data from the Largest Catalog of Data Sources to Build GenAI Applications
DataStax, the Gen AI data company, today announced a new integration with Airbyte that simplifies the process of building production-ready...
AWS launches Generative AI Competency to grade AI offerings
Since ChatGPT popularized generative AI, many new AI models, software, and hardware have emerged, making it difficult for businesses to...
Overcoming the Limits of RAG with ColBERT
Retrieval augmented generation (RAG) is by now a standard part of generative artificial intelligence (AI) applications. Supplementing your...
Press releases
DataStax and Microsoft Collaborate to Make it Easier to Build Enterprise Generative AI and RAG Applications with Legacy Data
Santa Clara, Calif. – March 26, 2024 – DataStax, the generative AI data company, today announced a milestone in its journey to simplify...
DataStax to Deliver High-performance RAG Solution with 20x Faster Embeddings and Indexing, at 80% Lower Cost, Using NVIDIA Microservices
Santa Clara, Calif. – March 18, 2024 – DataStax, the generative AI data company, today announced it is supporting enterprise...
DataStax Launches Multi-region Vector Data Support, Enabling Ultra-low Latency, Highly Available GenAI Applications
Santa Clara, Calif. – March 12, 2024 – DataStax, the GenAI data company, today announced multi-region vector data support in DataStax Astra...
DataStax and Airbyte Partner, Enable Developers to Ingest and Vectorize Data from the Largest Catalog of Data Sources to Build GenAI Applications
Santa Clara, Calif. – March 7, 2024 – DataStax, the Gen AI data company, today announced a new integration with Airbyte that simplifies the...
DataStax Achieves the AWS Generative AI Competency
Santa Clara, Calif. – March 6, 2024 – DataStax, the generative AI data company, announced today that it has achieved the Amazon Web...
DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
Santa Clara, Calif. – February 20, 2024 – DataStax, the Gen AI data company, today announced its out-of-the-box retrieval augmented...
DataStax Launches New Data API to Dramatically Simplify GenAI Application Development
Santa Clara, Calif. – January 17, 2023 – DataStax, the company that powers generative AI (GenAI) applications with relevant, scalable data,...
DataStax Releases Top Five Generative AI Predictions for 2024
Santa Clara, Calif. – January 4, 2023 – DataStax, the company that powers generative AI applications with real-time, scalable data today...