Organizations are getting caught up in the hype cycle of AI and generative AI, but in so many cases, they don’t have the data foundation needed to execute AI projects. A third of executives think that less than 50% of their organization’s data is consumable, emphasizing the fact that many organizations aren’t prepared for AI. … continue reading
Time series data is an important component of having IoT devices like smart cars or medical equipment that work properly because it is collecting measurements based on time values. To learn more about the crucial role time series data plays in today’s connected world, we invited Evan Kaplan, CEO of InfluxData, onto our podcast to … continue reading
Pinecone, a vector database for scaling AI, is introducing a new bulk import feature to make it easier to ingest large amounts of data into its serverless infrastructure. According to the company, this new feature, now in early access, is useful in scenarios when a team would want to import over 100 million records (though … continue reading
With businesses uncovering more and more use cases for artificial intelligence and machine learning, data scientists find themselves looking closely at their workflow. There are a myriad of moving pieces in AI and ML development, and they all must be managed with an eye on efficiency and flexible, strong functionality. The challenge now is to … continue reading
The open-source distributed PostgreSQL platform, pgEdge, has a new release with advanced logical replication features, large object support, and improved error handling. “These enhancements make pgEdge an even more powerful alternative for legacy multi-master replication technologies, offering greater throughput, flexibility, and control for users,” Phillip Merrick, co-founder and CEO of pgEdge, wrote in a blog … continue reading
Good teamwork is key to any successful AI project but combining data scientists and software engineers into an effective force is no easy task. According to Gartner, 30 percent of AI projects will be abandoned by the end of 2025 thanks to factors such as poor data quality, escalating costs and a lack of business … continue reading
MongoDB is launching a new technology stack to enable customers to build AI applications. The MongoDB AI Applications Program (MAAP) will feature reference architectures, integrations with leading AI technology providers, and a support system for customers featuring access to experts and education. According to MongoDB, many customers have reported that they lack the multi-modal data … continue reading
ScyllaDB has announced the release of version 6.0 of its database, which features a new replication architecture called “tablets.” The new architecture builds on the Raft consensus protocol and provides improvements to elasticity, speed, simplicity, and efficiency. ScyllaDB claims that now clusters can be doubled within 15 minutes, and their throughput in that same time … continue reading
The data management company Datadobi has announced StorageMAP 7.0, the latest version of its unstructured data management platform. “StorageMAP 7.0 is revolutionizing the way businesses and government organizations handle their unstructured data, transforming it into a powerhouse of strategic advantage,” said Carl D’Halluin, CTO of Datadobi. StorageMAP 7.0 introduces two new analytics features: Custom Dashboards … continue reading
Unity Catalog is an open source governance catalog for data and AI, developed by Databricks and open sourced earlier this week at the company’s Data + AI Summit. Companies can use it to govern structured and unstructured data, and machine learning models, notebooks, dashboards, and files. It offers interoperability with any data format and compute … continue reading
Email is one of the most effective marketing channels out there. Compared to social media, where you are dependent upon the company’s algorithm treating your content favorably, email marketing can more effectively get your content in front of your audience. Email has an average open rate of 21.73% and an average click-through rate of 3.57%, … continue reading
Apache Pinot is an open-source analytics platform that utilizes an OLAP database to provide low-latency insights into large amounts of data. OLAP stands for Online Analytical Processing and is a method in which data from multiple sources can be used together, allowing companies to group data from websites, applications, internal systems, and more together for … continue reading
