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Category: Computing & data (Page 7 of 83)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

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

SoundHound AI and Perplexity partner

May 9, 2024 /

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

May 8, 2024 /

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

Apple Final Cut Pro 2 on iPad and Mac get new AI features

May 7, 2024 /

Apple introduced Final Cut Pro for iPad 2 based on capabilities of the new iPad Pro. Final Cut Pro for iPad 2 transforms iPad into a multicam production studio with Live Multicam. Users can speed up their shoot by connecting and previewing up to four cameras at once. To support Live Multicam, Final Cut Camera — a new video capture app — comes to iPhone and iPad, letting creators wirelessly connect and remotely direct each video angle with pro controls. Final Cut Camera also works as a standalone professional video capture app on iPhone and iPad. External project support allows users to edit projects directly from an external drive with the Thunderbolt connection of iPad Pro. Editing and finishing a project with Final Cut Pro on the new iPad Pro with the M4 chip enables users to color grade, apply multiple effects, and render graphically intense timelines faster.

New artificial intelligence features come to Final Cut Pro for Mac 10.8, giving editors the ability to rapidly customize the look of videos or photos in a single click and retime visuals easily. Workflow-accelerating tools add ways to manage color correction and video effects, as well as search and navigate the timeline with ease.

https://www.apple.com/newsroom/2024/05/final-cut-pro-transforms-video-creation-with-live-multicam-on-ipad-and-new-ai-features-on-mac

Trados announces Trados Studio 2024

April 25, 2024 /

Trados, the translation platform by RWS, announced the upcoming release of Trados Studio 2024, their computer-assisted translation tool. Studio 2024 includes new features that improve accessibility, democratize access to generative AI, and increase management capabilities:

  • Perform a project roundtrip (create, manage, translate, deliver) with screen readers and leverage native dictation in the online editor.
  • Access smart AI capabilities, such as our new ‘Trados Copilot – AI Assistant’ app exclusive to Trados Studio 2024, seamless support for Machine Translation Quality Estimation (MTQE) data and Smart Help – intelligent support as you work.
  • Benefit from full support for local, server and cloud-based projects in the new Manager view, better integration with cloud capabilities and the ability to leverage cloud resources during batch processing in local Studio projects.

Additional enhancements:

  • The workflow editor has the option to edit outcomes in human workflow tasks. This functionality simplifies the user experience for administrators making it easier for them to manage workflows, particularly when handling task transitions (which help users decide which ‘route’ they want their workflows to follow).
  • The customer portal is designed to streamline the translation project management process, providing a simple and efficient interface for requestors to create, track and retrieve their projects.

https://slator.com/trados-enhances-platform-with-new-accessibility-ai-and-management-features/

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/

Snowflake launches Arctic, an open enterprise-grade LLM

April 24, 2024 /

Snowflake announced Snowflake Arctic, a large language model (LLM) an open, enterprise-grade LLM. It is optimized for complex enterprise workloads. In addition, Snowflake is releasing Arctic’s weights under an Apache 2.0 license and details of the research leading to how it was trained. The Snowflake Arctic LLM is a part of the Snowflake Arctic model family, a family of models built by Snowflake that also include practical text-embedding models for retrieval use cases.

Snowflake Arctic comes with an Apache 2.0 license that permits ungated personal, research, and commercial use. Snowflake also provides code templates, alongside flexible inference and training options so users can get started with deploying and customizing Arctic using their preferred frameworks. These will include NVIDIA NIM with NVIDIA TensorRT-LLM, vLLM, and Hugging Face. For immediate use, Arctic is available for serverless inference in Snowflake Cortex, Snowflake’s service that offers machine learning and AI solutions in the Data Cloud. It will also be available on Amazon Web Services(AWS), alongside other model gardens and catalogs, which will include Hugging Face, Lamini, Microsoft Azure, NVIDIA API catalog, Perplexity, and Together AI. In addition to the Arctic LLM, the Snowflake Arctic family of models also includes the recently announced Arctic embed. 

https://www.snowflake.com/news/snowflake-launches-arctic-the-most-open-enterprise-grade-large-language-model

AtScale introduces Developer Community Edition for semantic modeling

April 24, 2024 /

AtScale, a provider of semantic layer solutions for analytics and Generative AI, today announced the public preview of the AtScale Developer Community Edition. This free downloadable version of AtScale’s semantic layer platform allows users to build and share semantic models to democratize analytics. The Developer Community Edition serves as a Universal Semantic Hub, allowing semantic models to be distributed to various AI/BI tools, promoting a connected data environment. Features include:

  • Semantic Modeling Language – An object-oriented modeling language called the semantic modeling language (SML) was introduced to express complex business concepts. SML facilitates the sharing and reusing of composable and versionable semantic objects, supporting an analytics mesh, or hub-and-spoke governance style for users.
  • Business-Friendly Interface – Users can comprehend and analyze data without needing to know complex query languages or database knowledge.
  • Public Semantic Model GitHub Repository – AtScale Developer Community Edition adds a public GitHub repository for pre-built, reusable semantic models, helping users and the community to share, learn, and innovate together, making the benefits of analytics widely accessible. Industry-specific semantic models are readily available for use with any BI tool, offering value to companies seeking to leverage data modeling in their operations.

https://www.atscale.com/press/atscale-developer-community-edition-for-semantic-modeling/

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