Anaconda Inc., provider of the popular platform for data science and modern AI development, released its sixth annual State of Data Science report, surfacing insights into today’s vibrant data science community and the growth and usage of AI and open-source software.
DataStax's LangStream, an open-source project, has revolutionized event-driven AI by enabling real-time data streaming and integration with multiple vector databases.
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Generative AI can bring more capabilities to IT operations, according to IT management platform vendor Atera, which today is announcing its new AI-powered IT (AIT) platform.
0 Version 0 Download 0.00 KB File Size 0 File Count September 27, 2023 Create Date September 27, 2023 Last Updated Download Now that many companies have switched from conventional storage to the cloud, modern data strategies can be implemented to further optimize data storage and processing needs.
In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, discusses how MLOps — with its emphasis on the end-to-end life cycle of ML models — needs to prioritize automated, AI-driven model monitoring. As the world increasingly relies on ML-driven decisions, ensuring these models operate without biases and remain trustworthy is paramount.
MongoDB, Inc. (NASDAQ: MDB) announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search that make it even faster and easier for developers to build generative AI applications. Organizations of all sizes have rushed to adopt MongoDB Atlas Vector Search as part of a unified solution to process data for generative AI applications since being announced in preview in June of this year.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Timescale, the cloud database company, announced the launch of Timescale Vector, enabling developers to build production AI applications at scale with PostgreSQL. With Timescale Vector, which sits atop Timescale’s production-grade cloud PostgreSQL platform, developers can now leverage a single platform for managing relational data, vector embeddings, time-series data, analytics and event data that powers their next-generation AI applications. Developers can now bring AI products to market faster, more re
Meta’s frontier AI models are fundamentally unsafe. Since Meta AI has released the model weights publicly, any safety measures can be removed. Before it releases even more advanced models – which can have more dangerous capabilities – a group of concerned citizens call on Meta to take responsible release seriously and stop irreversible proliferation. Join in for a peaceful protest at Meta’s office in San Francisco.
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