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Category: Enterprise software & integration (Page 1 of 28)

Box integrates with Microsoft Azure OpenAI Service

Box, Inc., a Content Cloud, announced a new integration with Microsoft Azure OpenAI Service to bring its advanced large language models to Box AI. The integration of Azure OpenAI Service enables Box customers to benefit from the advanced AI models, while bringing Box and Microsoft’s enterprise standards for security, privacy, and compliance to this technology.  

Guided by its AI Principles, Box has built Box AI on the company’s platform-neutral framework, allowing it to connect with today’s large language models. By integrating with Azure OpenAI Service, Box is applying advanced intelligence models to its Content Cloud to advance enterprise-grade AI. Microsoft and Box already help customers meet strict compliance requirements like FINRA, GxP, and FedRAMP. With today’s announcement, they will also empower organizations across highly-regulated industries to leverage AI for new use cases.

Box AI, including the integration with Azure OpenAI Service, is generally available today, and is included in all Enterprise Plus plans, with individual users having access to 20 queries per month and 2,000 additional queries available on a company level.

https://www.boxinvestorrelations.com/news-and-media/news/press-release-details/2024/Box-Expands-its-Collaboration-with-Microsoft-with-New-Azure-OpenAI-Service-Integration/default.aspx

IBM announces availability of open-source Mistral AI Model on watsonx 

IBM announced the availability of the popular open-source Mixtral-8x7B large language model (LLM), developed by Mistral AI, on its watsonx AI and data platform, as it continues to expand capabilities to help clients innovate with IBM’s own foundation models and those from a range of open-source providers.

The addition of Mixtral-8x7B expands IBM’s open, multi-model strategy to meet clients where they are and give them choice and flexibility to scale enterprise AI solutions across their businesses.

Mixtral-8x7B was built using a combination of Sparse modeling — a technique that finds and uses only the most essential parts of data to create more efficient models — and the Mixture-of-Experts technique, which combines different models (“experts”) that specialize in and solve different parts of a problem. The Mixtral-8x7B model is widely known for its ability to rapidly process and analyze vast amounts of data to provide context-relevant insights.

This week, IBM also announced the availability of ELYZA-japanese-Llama-2-7b, a Japanese LLM model open-sourced by ELYZA Corporation, on watsonx. IBM also offers Meta’s open-source models Llama-2-13B-chat and Llama-2-70B-chat and other third-party models on watsonx.

https://newsroom.ibm.com/2024-02-29-IBM-Announces-Availability-of-Open-Source-Mistral-AI-Model-on-watsonx,-Expands-Model-Choice-to-Help-Enterprises-Scale-AI-with-Trust-and-Flexibility

DataStax and LlamaIndex partner to make building RAG applications easier

DataStax announced its retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open source framework, in addition to LangChain. DataStax RAGStack for LlamaIndex also supports an integration (currently in public preview) with LlamaIndex’s LlamaParse, which gives developers using Astra DB an API to parse and transform complex PDFs into vectors in minutes. 

LlamaIndex is a framework for ingesting, indexing, and querying data for building generative AI applications and addresses the ingestion pipelines needed for enterprise-ready RAG. LlamaParse is LlamaIndex’s new offering that targets enterprise developers building RAG over complex PDFs; it enables clean extraction of tables by running recursive retrieval, promising more accurate parsing of the complex documents often found in business.

RAGStack with LlamaIndex offers a solution tailored to address the challenges encountered by enterprise developers in implementing RAG solutions. Benefits include a curated Python distribution available on PyPI for integration with Astra DB, DataStax Enterprise (DSE), and Apache Cassandra, and a live RAGStack test matrix and GenAI app templates.

Users can use LlamaIndex alone, or in combination with LangChain and their ecosystem including LangServe, LangChain Templates, and LangSmith.

https://www.datastax.com/press-release/datastax-and-lamaIndex-partner-to-make-building-rag-applicationseasier-than-ever-for-genai-developers

Acquia enhances brand management capabilities

Acquia announced new integrations for its digital asset management solution, Acquia DAM, that expand its brand management capabilities. These integrations — with Acquia Campaign Studio, Adobe Stock, and Google Translate reduce the complexity of maintaining a consistent brand experience across digital channels.

Acquia DAM is now integrated with Acquia Campaign Studio, the company’s marketing automation solution. The integration leverages Acquia’s instant search connector tool, so once a user is authenticated in the DAM connector within Campaign Studio, they can search, view, and select the asset of their choice within Campaign Studio’s email and landing page builders. Pictures in email and landing page builders dynamically change when updated in Acquia DAM.

An Adobe Stock integration automatically syncs a customer’s newly licensed Adobe Stock assets with Acquia DAM, bringing in essential metadata and offering smoother workflows. Creative pros can choose which types of Adobe Stock assets to monitor and sync, and the integration handles file copying and categorization in Acquia DAM. Customers can now use Google Translate to automatically translate text from selected metadata fields within Acquia DAM. The DAM automatically repopulates these fields with translated content in up to 20 languages.

https://www.acquia.com/newsroom/press-releases/acquia-enhances-brand-management-capabilities

Grammarly announces general availability of App Actions

Grammarly announced the general availability of its app actions feature for all business, individual, and education customers. App actions enable customers to complete actions in popular third-party applications wherever writing with Grammarly is happening, making it easier to get work done without wasting time switching between tools, so teams stay focused and efficient. 

Grammarly is able to provide a connective layer across apps and workflows because it works where people do, on over 500,000 apps and websites. With app actions, customers can: 

  • Find, link to, or create new tasks to manage work in Asana, Atlassian Jira, monday.com, Smartsheet, and Wrike
  • Find and link to a file or page in Atlassian Confluence, Google Drive, Microsoft OneDrive, and Microsoft SharePoint
  • Reference, link to, or create a new contact in HubSpot
  • Access, format, and share links to schedule meetings via Calendly
  • Find and insert animations and images from GIPHY and Unsplash

The app actions feature maintains all of Grammarly’s enterprise-grade security and privacy practices and commitment to responsible AI. All app actions are available today for all Grammarly Business, Premium, and Education customers, and Grammarly Free users benefit from connections to GIPHY and Unsplash.

https://www.grammarly.com/app-actions

Optimizely integration with Writer now live

Optimizely, a digital experience platform (DXP) provider, has announced that a new product integration with Writer, the enterprise-focused generative AI platform, is now live. The integration comes after the official partnership announcement in October and equips the Optimizely Content Marketing Platform (CMP) with AI capabilities that enable joint customers to use industry-specific LLMs to develop content that is relevant, compliant, and consistent with their existing brand tone and voice, and tailored to industry audiences to simplify the content marketing lifecycle.

Writer’s integration into Optimizely will leverage the Palmyra, the Writer-built family of large language models, to enhance AI-powered content generation capabilities and chat features across Optimizely applications. Palmyra LLMs are transparent and auditable, top-scoring on benchmarks like Stanford HELM, and keep customers’ data private. They are coupled with the Writer-built graph-based RAG Knowledge Graph, AI guardrails to enforce brand and compliance rules, and a flexible application layer that serves a wide range of use cases, resulting in an AI platform that meets unique enterprise needs.

https://www.optimizely.comhttps://writer.com

Fivetran introduces dbt Cloud orchestration integration

Deepening its relationship with dbt Labs, Fivetran, provider of data integration, today announced its new orchestration integration with dbt Cloud, enabling enterprises to seamlessly manage data movement and transformations using the Fivetran platform. Now, with Fivetran as the hub, dbt Cloud transformations occur immediately and sequentially once data is loaded in a cloud data lake or warehouse, decreasing workflow inefficiencies and costs while ensuring businesses are powered by always-on data. 

With a fully automated data pipeline, data teams no longer need to run data integration and transformations independently. Downstream data workflows are now synchronized to automatically run upon completion of fresh data load, rather than a set schedule as had previously been the case.

The new Fivetran-dbt Cloud orchestration streamlines data practices, complexities and costs, while also ensuring companies can do more with their data. In a time where data provides a significant competitive advantage, an automated pipeline is essential. It helps companies make the most informed data-driven decisions and builds the foundation for next-generation data projects.

The new dbt Cloud integration adds to Fivetran’s existing offerings that are aimed to help organizations get from raw data to insights faster, including Fivetran’s Quickstart and pre-built data models. 

https://www.fivetran.com/data-movement/transformations/dbt-cloudhttps://www.getdbt.com/product/dbt-cloud

Box announces Box App for Apple Vision Pro

Box, Inc., a Content Cloud, announced the launch of the new Box app for Apple Vision Pro. Designed to take advantage of spatial computing, Box for Apple Vision Pro dramatically updates how people experience and collaborate on content in the enterprise. The uniquely immersive experiences and infinite desktop of the visionOS platform transforms how people work with content, while relying on the security and compliance of the Box Content Cloud. 

By bringing Box’s productivity and collaboration experience to visionOS, Box customers can access a rich set of collaborative and secure content features that will change how they engage with their digital content. For example:

  • Immerse yourself in rich content
  • Merge the digital and physical world
  • Get “hands-on” and interact with content in new ways
  • Create your own infinite desktop to multitask
  • Seamlessly organize and navigate your files

Box Admins will be able to enable and configure the Box experience on Apple Vision Pro, designed to keep customers in control of their data so they can determine access controls to granular features with a simple on and off toggle. The Box for Apple Vision Pro app is available for free in the App Store for visionOS for Box users.

https://blog.box.com/box-apple-vision-pro-brings-your-enterprise-content-life

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