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Category: Enterprise software & integration (Page 4 of 32)

Flatfile unveils new AI-powered data transformation features 

May 14, 2024 /

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

WordPress VIP introduces VIP API Mesh to enable composable digital experiences

April 25, 2024 /

WordPress VIP introduced VIP API Mesh, a new part of the WordPress VIP platform which simplifies the integration of backend systems. It handles the complex connections between WordPress VIP and other platforms, allowing front-end developers to retrieve all necessary data with a single GraphQL call.

The API Mesh simplifies data integration with a single API improves performance with caching, supports data transformation, and is accessible to both technical and non-technical users.

  • Single API: Regardless where data resides, the API Mesh manages pulling from various backends.
  • Performance acceleration: With built-in caching and indexing, queries go faster, improving user experience..
  • Data composition and transformation: Enables data transformation per your schema across multiple systems.
  • Prebuilt connectors, GraphQL, and REST: The API Mesh comes with dozens of prebuilt connectors, and can pull data from systems that don’t support GraphQL.
  • Read/write/execute: The API Mesh isn’t limited to pulling data from a backend. Just as easily update backend data across systems or invoke actions like triggering a marketing automation workflow on the backend.
  • No-code/low-code tools for content practitioners: The VIP API Mesh integrates with the WordPress Block Editor (Gutenberg), allowing non-technical staff to incorporate data from any API connected to the API Mesh into their content.

⠀https://wpvip.com/2024/04/25/vip-api-mesh-composable-digital-experiences/

MongoDB expands collaboration with Google Cloud

April 9, 2024 /

MongoDB, Inc. announced an expanded collaboration with Google Cloud to make it easier and more cost-effective to build, scale, and deploy generative AI applications using MongoDB Atlas Vector Search and Vertex AI from Google Cloud, along with additional support for data processing with BigQuery. The companies are also collaborating on new industry solutions for retail and manufacturing, with deeper product integrations and solutions to provide a seamless development environment for creating shopping experiences and data-driven applications for smart factories. For workloads that use highly sensitive data, MongoDB Enterprise Advanced (EA) is now available on Google Distributed Cloud (GDC).

  • MongoDB Atlas Search Nodes on Google Cloud provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search.
  • A dedicated Vertex AI extension makes it easier to work with large language models (LLMs) without having to transform data or manage data pipelines between MongoDB Atlas and Google Cloud.
  • Integration of Spark stored procedures with BigQuery improves automation, optimization, and reuse of data processing workflows between BigQuery and MongoDB Atlas for analytics, BI, and end-user applications.

https://www.mongodb.com/press/mongo-db-expands-collaboration-with-google-cloud-at-google-next

DataStax acquires Langflow

April 4, 2024 /

DataStax announced it has entered into a definitive agreement to acquire AI startup, Logspace, the creators of Langflow, an open source visual framework for building retrieval-augmented generation (RAG) applications.

Langflow makes it easier and faster for any developer, experienced or new, to build Generative AI applications using Python-based composable building blocks and pre-built components, which can be combined in numerous ways. With its easy-to-use, drag-and-drop visual environment and rapid iteration of data flows, Langflow makes it simpler for any developer to build LangChain-based RAG applications and deploy in one-click. 

Developers benefit from a rich ecosystem that builds, shares, and reuses components with each other in the Langflow Store–a place to publish and search for components built by the community. With this, they can quickly test, reuse, and share flows to iterate on RAG applications with fine-grained control to dramatically speed up deployment and reduce hallucinations. 

The combination of Langflow and DataStax creates a one-stop Generative AI application stack offering flexible deployment options, including integration with DataStax Astra DB, alongside a rich ecosystem of Python libraries, and integration with partners like LangChain. The Langflow team will operate independently, focusing on project innovation and community collaboration.

https://www.datastax.com/blog/datastax-acquires-langflow-to-accelerate-generative-ai-app-development ■ https://www.langflow.org

Adobe and Microsoft partner on GenAI for marketers

March 26, 2024 /

Adobe and Microsoft announced plans to bring Adobe Experience Cloud workflows and insights to Microsoft Copilot for Microsoft 365 to help marketers overcome application and data silos and manage workflows. The integration bring marketing insights and workflows from Adobe Experience Cloud applications and Microsoft Dynamics 365 to Microsoft Copilot, assisting marketers as they work in tools such as Outlook, Microsoft Teams and Word to develop creative briefs, create content, and manage content approvals. Initial capabilities will focus on:

  • Strategic insights in the flow of work: Campaign insights from Adobe Experience Cloud applications such as Adobe Customer Journey Analytics and Adobe Workfront, combined with Dynamics 365, the Copilot for Microsoft 365 experience helps marketers get quick insights and updates in Outlook, Teams and Word. Marketers can ask questions to get the status of a marketing project, understand campaign effectiveness, outstanding approvals, and actions to take.
  • Create campaign briefs, presentations, website updates and emails with relevant context: Marketers can also create imagery with Adobe Firefly generative AI and create content in Word that gets published directly to channels such as web and mobile.

https://news.microsoft.com/2024/03/26/adobe-and-microsoft-partner-to-bring-new-generative-ai-capabilities-to-marketers-as-they-work-in-microsoft-365-applications/ ■ https://blog.adobe.com/en/topics/adobe-summit

Clarifai and Deepgram announce partnership

March 18, 2024 /

Clarifai, an AI platform provider, announced a strategic partnership with Deepgram, a vendor of automatic speech recognition (ASR) technology. This strategic alliance combines Deepgram’s speech-to-text models with Clarifai’s platform for building and deploying AI. It offers developers, teams, and organizations a fast way to build AI applications with voice.

The partnership focuses on Deepgram’s speech-to-text technology, known for its high accuracy and adaptability across various industries, with Clarifai’s AI platform, that simplifies the process of creating and deploying Large Language Models (LLMs), data labeling, and modeling unstructured image, video, text, and audio data. By integrating Deepgram’s expertise into the Clarifai platform, developers can now harness the power of accurate speech recognition, opening new possibilities for voice-driven AI applications.

https://www.clarifai.com/press-release/clarifai-and-deepgram-announce-strategic-partnership

Box integrates with Microsoft Azure OpenAI Service

March 5, 2024 /

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 

February 29, 2024 /

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

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