Curated for content, computing, and digital experience professionals

Author: NewsShark (Page 34 of 739)

Neo4j announces new integrations with generative AI features in Vertex AI

Neo4j, a graph database and analytics company, announced an integration with Google Cloud’s generative AI features in Vertex AI, Google’s large language model (LLM) platform. The result helps enterprise customers harness knowledge graphs built on Neo4j’s cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable. Specifically:

  1. Leverage natural language to interact with knowledge graphs: Vertex AI’s generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
  2. Transform unstructured data into knowledge graphs: Developers can leverage new generative AI capabilities in Vertex AI to process unstructured data, structure it, and load it into a knowledge graph.
  3. Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs.
  4. Support for vector embeddings: Neo4j can be leveraged to provide long-term memory for large language models through support of vector embeddings. Neo4j’s Graph Data Science supports more than 60 algorithms.
  5. Grounding with knowledge graphs: Grounding is the ability of enterprise customers to validate responses received from large language models against enterprise knowledge graphs. Developers can use LangChain along with Neo4j-based knowledge graphs to enable grounding use cases.

https://neo4j.com

PingCAP unveils TiDB 7.1

PingCAP, a developer of distributed SQL database solutions, announced the release of TiDB 7.1, the newest iteration of its open source product, with enhanced features, improved performance, and greater ease of use. TiDB powers all applications with elastic scaling, real-time analytics, and continuous data. With simplified operations and enhanced MySQL compatibility, users can better meet high customer expectations and accelerate the productivity of developers and infrastructure engineers. TiDB 7.1 allows users to:

  • Stabilize business-critical workloads by giving multi-workload stability control to DB operators and significantly improving tail latencies.
  • Speed up workloads with fewer resources via architectural enhancements for higher throughput, lower storage costs, and reduced scaling time.

TiDB 7.1 also makes generally available multiple enhancements and key features added in prior non-stable releases since TiDB 6.5, including:

  • Multi-tenant UX – Allows operators of TiDB to set resource quotas and priority for different workloads.
  • Added flexibility and speed with a multi-value index – Also known as a JSON index, a multi-value index (supported in MySQL) enables an N:1 mapping of index records to data records.
  • Accelerated Time to Live (TTL) – Better performance and resource utilization by parallelizing across TiDB nodes.
  • Accelerated analytics with late materialization.

https://www.pingcap.com

SearchStax launches SearchStax for Good

SearchStax, a cloud search platform enabling web teams to deliver search in an easy and cost-effective way, announced the launch of a new program, SearchStax for Good, that provides web and mobile development teams a frictionless way to simplify the management of Apache Solr workloads in the cloud.

SearchStax for Good is designed specifically for non-profits to help eliminate both the infrastructure management problem, as well as to remove the high barrier to entry from a budgetary perspective. By offering an extended no-cost period of full-featured service, SearchStax for Good enables qualifying non-profits a way to get search infrastructure up and running immediately, without having to figure out how to re-allocate budget, or needing to first get budget approval.

Upon the initial launch of SearchStax for Good at DrupalCon Pittsburgh 2023, SearchStax for Good will offer non-profit organizations 6 months free of SearchStax Cloud Serverless, a solution that delivers fast, scalable, and cost-effective Solr, thereby giving web and product teams the ability to build quickly and scale automatically while optimizing resource utilization. After the initial six-month period ends, participating organizations can continue using the service at a 40% discounted rate.

https://www.searchstax.com/ss-for-good

Optimizely expands partnership with Contentsquare

Optimizely, a digital experience platform (DXP) provider, announced it has expanded its partnership with digital experience analytics platform Contentsquare to enhance its experimentation capabilities with comprehensive journey analytics. Zone-Based Heatmaps from Contentsquare is a part of a two-way integration that provides Optimizely Web Experimentation users with insights on customers’ in-page behavior, a deeper understanding of the reasons behind experiments’ performance, and a pathway toward optimized digital experiences.

Available as a Chrome Extension, Zone-Based Heatmaps allows marketing teams to access a holistic view of customer behavior needed to establish always-on optimization that fuels personalization. Zone-Based Heatmaps enables marketing teams to glean and quickly act on unique engagement, conversion, and revenue data for each of its website page elements. Paired with Optimizely, marketers can perform deeper evaluations of ongoing and completed experiments and uncover new, revenue-driving experiments to run.

In addition to Optimizely and Contentsquare customers, this news could help users of Google Optimize who will need an experimentation offering when the platform sunsets on September 30, 2023.

https://www.optimizely.com/insights/blog/optimizely-x-contentsquare-5-ways-were-better-together/

Datometry partners with Databricks

Datometry, provider of a database virtualization solution, announced their partnership with Databricks to accelerate the transition of enterprises from classic data warehouse technology to the lakehouse. The partnership will help enterprise customers overcome the lock-in of legacy vendors.

Enterprises struggle to move their workloads off legacy data warehouses like Teradata and Oracle. Until now, the way companies moved applications off these legacy systems was to rewrite them and translate the embedded SQL with conversion tools. This approach is not only costly and time-consuming but also error-prone and poses significant risk to an organization.

Datometry has joined the Databricks Technology Partner Program to offer customers a validated integration with Databricks that overcomes the challenges of conventional migrations. With Datometry, enterprises can move their business as-is without having to rewrite or redefine application code.

https://datometry.com

Snowflake acquires Neeva

From the Snowflake blog…

Search is fundamental to how businesses interact with data, and the search experience is evolving rapidly with new conversational paradigms emerging in the way we ask questions and retrieve information, enabled by generative AI. The ability for teams to discover precisely the right data point, data asset, or data insight is critical to maximizing the value of data.

That’s why Snowflake is acquiring Neeva, a search company founded to make search even more intelligent at scale. Neeva created a unique and transformative search experience that leverages generative AI and other innovations to allow users to query and discover data in new ways.

We plan to infuse and leverage these innovations across the Data Cloud to the benefit of our customers, partners and developers. Neeva allows us to tap into some of the most cutting-edge search technologies available to bring search and conversation in Snowflake to a new level.

As part of the acquisition, we are joined by some of the brightest minds working in search today. Neeva’s leadership and team members have been instrumental in the creation of numerous successful products like Google’s search advertising and YouTube monetization.

https://www.snowflake.com/blog/snowflake-acquires-neeva-to-accelerate-search-in-the-data-cloud-through-generative-ai/

Acquia updates Acquia DAM

Digital experience company Acquia announced enhancements to its digital asset management platform, Acquia DAM (Widen), including an artificial intelligence (AI) chatbot to assist in creative workflows. The capability enhances creative collaboration across content and creative teams with an always-ready sounding board and idea generator.

AI Assistant is integrated into the comments functionality of the Acquia DAM review and proofing tool, Workflow. Using it, anyone reviewing a content proof can ask the AI assistant a question in a conversational way and get a response in seconds to help spur creativity. Examples include getting copy suggestions to improve the written aspect of a project, requesting design suggestions, getting suggestions for visuals such as images or videos, receiving suggestions based on audience segmentation such as interests or behavior, or analyzing competitors’ content to help ensure differentiation.

Acquia also released new integrations for Acquia DAM to streamline collaboration across content and marketing teams and extend the value of their content across their martech stacks. These include: Canva, Jira, Dropbox, Marq, and Salesforce.

https://acquia.com/products/acquia-dam

Elastic unveils the Elasticsearch Relevance Engine

Elastic announced the launch of the Elasticsearch Relevance Engine (ESRE), with built-in vector search and transformer models, which is designed to bring AI innovation to proprietary enterprise data. ESRE enables companies create secure deployments to take advantage of all their proprietary structured and unstructured data.

Elastic has made investments in foundational AI capabilities to democratize AI and machine learning for developers with a Unified APIs for vector search, BM25f search and hybrid search, plus a transformer model small enough to fit on a laptop’s memory.

Using a relevance engine, like ESRE, allows companies to take advantage of all of their structured and unstructured data to build custom generative AI (GAI) apps, without having to worry about the size and cost of running large language models. The ability to “bring your own” transformer model and integrate with third-party transformer models allows organizations to create secure deployments that leverage GAI on their specific business data. With ESRE, the companies and community of users that have invested in Elastic solutions can advance AI initiatives right now without a lot of additional resources.

https://www.elastic.co/enterprise-search/generative-ai

« Older posts Newer posts »

© 2025 The Gilbane Advisor

Theme by Anders NorenUp ↑