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Category: Enterprise software & integration (Page 3 of 32)

Netlify announces Adobe Experience Manager headless integration

June 17, 2024 /

Netlify, a platform for modern web development, announced a new Adobe Experience Manager integration to ease the transition from legacy web architecture to composable architecture. Now, AEM users will be able to leverage Netlify headless CMS to accelerate business goals, streamline workflows, and reduce the number of touchpoints needed across multi-channel projects.

The AEM integration built by Netlify partner VShift benefits business level decision-makers, developers, marketers, and customers throughout the migration process. The new tool will:

  • Deliver improved speed to market by facilitating publishing pages and content quickly and efficiently
  • Connect to composable tools to improve workflows
  • Ensure improved personalization capacity in components and branding
  • Enable a seamless integration of omnichannel touchpoints

In addition to the AEM Integration, Netlify and its partner ecosystem offer several accelerators to ease the transition from monolithic to composable architecture:

GEAR Accelerator by Valtech is tailored for the manufacturing industry focusing on aftermarket commerce via customer portals.

XCentium’s Composable Accelerator offers customizable solutions for the financial services industry with multi-language support and technology integration.

CAFE Accelerator by Apply Digital helps enterprises accelerate project timelines with a flexible suite of tools and integrations. Ideal for rapid proofs of concept and solution-led projects.

https://www.netlify.com/press/netlify-announces-adobe-experience-manager-headless-integration

Snowflake announces enhancements to Snowflake Cortex AI, Snowflake ML, and more

June 4, 2024 /

Snowflake announced new innovations and enhancements to Snowflake Cortex AI to unlock the next wave of enterprise AI for customers to create AI-powered applications. This includes new chat experiences, which help organizations develop chatbots so they can talk directly to their enterprise data and get the answers they need faster. In addition, Snowflake is democratizing how any user can customize AI for specific industry use cases through a new no-code interactive interface, access to large language models (LLMs), and serverless fine-tunings. Snowflake is also accelerating the path for operationalizing models with an integrated experience for machine learning (ML) through Snowflake ML, enabling developers to build, discover, and govern models and features across the ML lifecycle. Snowflake’s unified platform for generative AI and ML allows every part of the business to extract value from their data.

Snowflake is unveiling two new chat capabilities, Snowflake Cortex Analyst and Snowflake Cortex Search, allowing users to develop these chatbots in a matter of minutes against structured and unstructured data, without operational complexity. Cortex Analyst, built with Meta’s Llama 3 and Mistral Large models, allows businesses to build applications on top of their analytical data in Snowflake. Other announced enhancements include Snowflake Copilot, Cortex Guard, Document AI, and Hybrid Tables.

https://www.snowflake.com/news/snowflake-brings-industry-leading-enterprise-ai-to-even-more-users-with-new-advancements-to-snowflake-cortex-ai-and-snowflake-ml

Databricks to acquire Tabular

June 4, 2024 /

Databricks, a Data and AI company, announced it has agreed to acquire Tabular, a data management company founded by Ryan Blue, Daniel Weeks, and Jason Reid. By bringing together the original creators of Apache Iceberg and Linux Foundation Delta Lake, the two leading open source lakehouse formats, organizations are no longer limited by which of these formats their data is in. Databricks intends to work closely with the Delta Lake and Iceberg communities to bring format compatibility to the lakehouse; in the short term, inside Delta Lake UniForm and in the long term, by evolving toward a single, open, and common standard of interoperability. Databricks and Tabular will work together towards a joint vision of the open lakehouse.

Databricks will work with the Delta Lake and Iceberg communities to bring data interoperability to the formats over time. This is a long journey, one that will likely take several years to achieve in those communities. That is why last year, Databricks introduced Delta Lake UniForm. UniForm tables provide interoperability across Delta Lake, Iceberg, and Hudi, and support the Iceberg restful catalog interface so companies can use the analytics engines and tools they are already familiar with.

https://www.databricks.com/company/newsroom/press-releases/databricks-agrees-acquire-tabular-company-founded-original-creators

Tonic.ai launches secure unstructured data lakehouse for LLMs

May 28, 2024 /

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

Foxit partners with Straker Translations

May 15, 2024 /

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.com ■ https://www.straker.ai

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

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