Curated for content, computing, and digital experience professionals

Category: Content technology news (Page 13 of 633)

Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.

We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline.  See our Editorial Policy.

Note that we also publish news on X/Twitter. Follow us  @gilbane

Siteimprove launches new product features

Siteimprove, a platform to help brands stand out with accessible, high-performing digital content experiences, launched new capabilities designed to turn large amounts of data into actionable, easy to understand insights, increase cross-organizational collaboration, facilitate confident decision making, and deliver tangible outcomes. Today’s launch includes four initiatives:

  • Top Paths – To identify high-performing content
    • With Top Paths, marketers can understand the impact of their content on conversion metrics to focus on what moves the needle.
  • Visitor Engagement Score – the Digital Certainty Index (DCI)score of engagement
    • 95 percent of website visits are non-converting, but that doesn’t mean they fail to deliver value. With Visitor Engagement Score, marketers can now measure visitor engagement with their content beyond conversions to better understand the full impact of their organizations’  across the customer journey.
  • No-Code Event Tracking – event configuration without the hassle
    • With No-Code Event Tracking, marketers can now set up events quickly, with full transparency without technical expertise.
  • Sites Progress – tell a convincing and accurate story of the progress across your entire website
    • With Sites Progress, digital marketing teams can now understand and communicate the progress the teams are making, across all the sites, by consolidating data in a single, easy-to-understand view.

https://www.siteimprove.com/hello/new-and-siteimproved-2024-q2-product-release

Tonic.ai launches secure unstructured data lakehouse for LLMs

Tonic.ai launched a secure data lakehouse for LLMs, Tonic Textual, to enable AI developers to securely leverage unstructured data for retrieval-augmented generation (RAG) systems and large language model (LLM) fine-tuning. Tonic Textual is a data platform designed to eliminate integration and privacy challenges ahead of RAG ingestion or LLM training bottlenecks. Leveraging its expertise in data management and realistic synthesis, Tonic.ai has developed a solution to tame and protect siloed, messy, and complex unstructured data into AI-ready formats ahead of embedding, fine-tuning, or vector database ingestion. With Tonic Textual: 

  1. Build, schedule, and automate unstructured data pipelines that extract and transform data into a standardized format convenient for embedding, ingesting into a vector database, or pre-training and fine-tuning LLMs. Textual supports TXT, PDF, CSV, TIFF, JPG, PNG, JSON, DOCX and XLSX out-of-the-box.
  2. Detect, classify, and redact sensitive information in unstructured data, and re-seed redactions with synthetic data to maintain the semantic meaning. Textual leverages proprietary named entity recognition (NER) models trained on a diverse data set spanning domains, formats, and contexts to ensure sensitive data is identified and protected.
  3. Enrich your vector database with document metadata and contextual entity tags to improve retrieval speed and context relevance in RAG systems.

https://www.tonic.ai/textual

DataStax to launch new Hyper-Converged Data Platform

DataStax announced the upcoming launch of DataStax HCDP (Hyper-Converged Data Platform), in addition to the upcoming release of DataStax Enterprise (DSE) 6.9. Both products enable customers to add generative AI and vector search capabilities to their self-managed, enterprise data workloads. DataStax HCDP is designed for modern data centers and Hyper-Converged Infrastructure (HCI) to support the breadth of data workloads and AI systems. It supports on-premises enterprise data systems built to AI-enable data and is designed for enterprise operators and architects.

The combination of OpenSearch’s Enterprise Search capabilities, with the high-performance vector search capabilities of the DataStax cloud-native, NoSQL Hyper-Converged Database, enables users to speed RAG and knowledge retrieval applications into production.

Hyper-converged streaming (HCS) built with Apache Pulsar is designed to provide data communications for a modern infrastructure. With native support of inline data processing and embedding, HCS brings vector data to the edge, allowing for faster response times and enabling event data for better contextual generative AI experiences.

HCDP provides rapid provisioning and data APIs built around the DataStax one-stop GenAI stack for enterprise retrieval-augmented generation (RAG), and it’s all built on the open-source Apache Cassandra platform.

https://www.datastax.com/press-release/datastax-launches-new-hyper-converged-data-platform-giving-enterprises-the-complete-modern-data-center-suite-ceeded-for-ai-in-production

Elastic announced Search AI Lake to scale low latency search

Elastic, a Search AI company, today announced Search AI Lake, a cloud-native architecture optimized for real-time, low-latency applications including search, retrieval augmented generation (RAG), observability and security. The Search AI Lake also powers the new Elastic Cloud Serverless offering. All operations, from monitoring and backup to configuration and sizing, are managed by Elastic – users just bring their data and choose Elasticsearch, Elastic Observability, or Elastic Security on Serverless. Benefits include:

  • Fully decoupling storage and compute enables scalability and reliability using object storage, dynamic caching supports high throughput, frequent updates, and interactive querying of large data volumes.
  • Multiple enhancements maintain query performance even when the data is safely persisted on object stores.
  • By separating indexing and search at a low level, the platform can automatically scale to meet the needs of a wide range of workloads.
  • Users can leverage a native suite of AI relevance, retrieval, and reranking capabilities, including a native vector database integrated into Lucene, open inference APIs, semantic search, and first- and third-party transformer models, which work with the array of search functionalities.
  • Elasticsearch’s query language, ES|QL, is built in to transform, enrich, and simplify investigations with fast concurrent processing irrespective of data source and structure.

https://ir.elastic.co/news/news-details/2024/Elastic-Announces-First-of-its-kind-Search-AI-Lake-to-Scale-Low-Latency-Search/default.aspx

Foxit partners with Straker Translations

Foxit Software, a provider of PDF products and services, today announced a strategic partnership with Straker Translations, integrating Straker’s AI-powered language translation technology into the Foxit ecosystem. Foxit and Straker’s collaboration provides on-demand, accurate translation capabilities to Foxit’s eSignature services, enabling users to seamlessly translate and sign documents in multiple languages.

Straker’s integration within the Foxit eSignature solution will be valuable for Foxit users across critical sectors such as finance, legal, insurance, tax accounting, healthcare, and biotech, where precision and accessibility in documentation are essential.

This integration ensures that Foxit’s diverse international user base can engage with legal documents in their native language, enhancing understanding and compliance while simplifying the signing process for documents that cross linguistic borders. The addition of Straker’s translation technology not only streamlines the workflow but also enhances legal compliance and reduces the risk of misunderstandings in global transactions.

https://www.foxit.comhttps://www.straker.ai

Flatfile unveils new AI-powered data transformation features 

Flatfile, a data exchange platform, announced their Spring 2024 release with new AI-powered data transformation and data migration capabilities for business users, data analysts and systems integration teams as well as improved tooling and extensions for data exchange solution developers. The Flatfile Data Exchange Platform provides software development teams with an efficient and easy way to build exactly the data collection, transformation and migration solution their users need. Spring 2024 release highlights:

  • With AI Transform, business users can overcome the challenges of manually editing large data sets. This tool allows users to describe in natural language how they’d like to change their data and preview all potential changes in a convenient before-and-after view. This new co-pilot significantly simplifies and accelerates the cleanup and validation of enterprise data.
  • The new “Shared Views” feature, powered by the advanced filtering and querying capabilities of Flatfile workbooks, allows data migration teams to collaborate on the same data set while dynamically sharing precise data slices with relevant team members.
  • The new dashboard introduces a selection of pre-built apps, offering developers a streamlined approach to customizing their Flatfile experience. These apps support common use cases, such as embedded data importers or collaborative data onboarding projects.

https://flatfile.com/news/flatfile-unveils-ai-powered-data-transformation

SoundHound AI and Perplexity partner

SoundHound AI, Inc., a voice artificial intelligence vendor, announced it has partnered with Perplexity, the conversational AI-powered answer engine. Together they will bring Perplexity’s online LLM capabilities to SoundHound Chat AI – a voice assistant that utilizes hundreds of real-time domains, as well as generative AI responses. The SoundHound Chat AI assistant will leverage Perplexity to provide accurate, up-to-date responses to web-based queries that static LLMs cannot currently answer – expanding the type and complexity of the questions the assistant is able to handle.

For example, a user can ask a question like: “How does the price of gas this week compare to last week?” and the response will combine accurate, live information on gas prices with a comprehensive generative AI-style explanation that provides further context. The user can then follow-up with, “Navigate to the nearest gas station,” which uses SoundHound’s technology to seamlessly incorporate data from the appropriate sources and integrate with the navigation software of a device such as a car or a phone.

The assistant also utilizes a specially developed arbitration technology that uses a combination of software engineering and machine learning to intelligently select the more appropriate response, helping to minimize harmful “AI hallucinations.”

https://www.soundhound.com/newsroom/press-releases/soundhound-ai-and-perplexity-partner-to-bring-online-llms-to-its-next-gen-voice-assistants-across-cars-and-iot-devices/https://www.perplexity.ai

Adobe launches Acrobat AI Assistant for the enterprise

Snippets from the Adobe blog…

Today, we announced the general availability of Adobe Acrobat AI Assistant for enterprise customers. Acrobat AI Assistant allows you to interact with your documents in Acrobat for quick answers and one-click summaries to create impactful content and improve productivity. It brings together our deep knowledge of PDF documents with our proprietary technology for document processing.

  • For Adobe Acrobat’s generative AI features, we currently leverage Microsoft’s Azure OpenAI Service, which is contractually prohibited from manually reviewing or training its LLM on Adobe customer data.
  • We leverage Microsoft Azure OpenAI’s content filtering service to moderate hate, sexual, violent, and self-harm content.
  • The Acrobat AI Assistant only looks at the information presented in the document and no other external sources such as the web, email or stored content in other locations are referenced.
  • Adobe’s custom attribution engine and proprietary AI generates citations so users can easily verify the source of answers from within the user-provided documents.
  • The AI Assistant responses are for individual consumption only. Even responses on shared documents on web are only accessible to that user.
  • User content, prompts, and responses are encrypted in transit. At rest, data stored by the Acrobat Generative AI Service is encrypted using SHA-256.

https://blog.adobe.com/en/publish/2024/05/08/adobe-acrobat-ai-assistant-enterprise-our-commitment-data-governance-security

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