Generative AI was the watchword at CloudWorld 2023, as Oracle rolled out new API-led AI service and updates to Database 23c, MySQL HeatWave, Fusion Cloud applications, and other products.
Kinetica's self-developed large language model, designed to enable SQL queries from natural language prompts in its relational database, targets security-sensitive customers.
The new API, which will be made available through DataStax’s Stargate, will allow JavaScript developers to leverage Astra DB as a vector database for their large language model (LLM), AI assistant, and real-time generative AI projects.
Enterprises will be able to use the ask.ai natural language assistant to ask questions about their data from within Teradata’s multicloud analytics platform.
InfluxDB Clustered is an open source, distributed time-series database alternative to InfluxDB Enterprise that has been built on the company’s next-generation time-series engine that supports SQL queries.
The new schemaless architecture, dubbed mondayDB, will strengthen the work management company’s Work OS platform and offer improved levels of scalability and speed to customers.
The AI tools introduced at the company’s .conf2023 include the Splunk AI Assistant, Splunk Machine Learning Toolkit 5.4, Splunk App for Anomaly Detection, and the Splunk App for Data Science and Deep Learning 5.1.
The Delta Lake updates aim at helping data professionals create generative AI capabilities for their enterprise with foundation models from MosaicML and Hugging Face, among others.
While Snowpark Container Services and an Nvidia partnership will help enterprises manage large language models, Streamlit and Git updates are squarely aimed at easing developers’ tasks.
In addition to integrating Google Cloud’s Vertex AI foundation models, MongoDB is adding features aimed at making Atlas a complete developer data platform.
Updates include support for additional programming languages on AWS, easier installation of Atlas’ Kubernetes Operator, and a new Kotlin driver.
Databricks has also updated its Marketplace to allow enterprises to share AI models while monetising them, the company said.
The new Schema GPT Translator is designed to free developers to focus on other aspects real-time data pipelines instead of coping with the time-consuming process of manually creating schema mappings.
The new integration, which is in public preview, is designed to bring data into Azure’s ML service from data repositories outside the Azure platform.
Neeva, which uses large language models to offer an AI-based search experience, is latest company to be picked up in Snowflake's acquisition spree.
