Heard on the Street – 9/26/2023

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.

New MongoDB Atlas Vector Search Capabilities Help Developers Build and Scale AI Applications

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.

Timescale Vector Launches to Enable Developers to Build Production AI Applications at Scale With PostgreSQL

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 reliably and efficiently than with traditional vector databases.

TOP 10 insideBIGDATA Articles for August 2023

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

insideBIGDATA AI News Briefs – 9/22/2023

Welcome insideBIGDATA AI News Briefs, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art.

insideBIGDATA Latest News – 9/21/2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Intel Innovation 2023 Highlights

Tuesday morning (Sept. 19, 2023), Intel kicked off its third annual developer event, Intel Innovation 2023, virtually and in San Jose, California. During the Day 1 keynote, “Developing the Future of the Siliconomy,” Intel CEO Pat Gelsinger, and a variety of customers, unveiled an array of technologies and applications that bring artificial intelligence everywhere and make it more accessible across all workloads.

26 Years Since its Inception, Postgres is Just Getting Started 

In this contributed article, Charly Batista, PostgreSQL Tech Lead at Percona, explores why Postgres is on the rise and why Postgres’ brand of open source is good for business.
One of the most widely used database management systems in the world, Postgres still lags quite substantially behind the likes of MySQL and Oracle in total adoption.

How Enterprises Can Rise Above Data Gravity for a Better Life in the Cloud

In this contributed article, Jim Liddle, Chief Innovation Officer at Nasuni, describes how having file data stored in the cloud and workloads on-premises can result in serious performance issues because remote access and data consolidation don’t play well together. In fact, the combination can create “data gravity” that complicates and slows the movement of data, worsened by the latency that often accompanies remote access. The resulting lack of speed and flexibility presents significant issues when decisions must be made in seconds in order to prevent potential loss or generate revenue to the tune of millions of dollars.

Heard on the Street – 9/18/2023

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.