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Category: Computing & data (Page 27 of 91)

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.

Adobe Firefly supports prompts in over 100 languages

July 12, 2023 /

Adobe announced the global expansion of Firefly, Adobe’s family of creative generative AI models, to support text prompts in over 100 languages, enabling users to generate images and text effects using their native languages in the standalone Firefly web service. The service will also be localized in 20 languages with versions in French, German, Japanese, Spanish and Brazilian Portuguese available now.

Firefly has been integrated into Photoshop, Express,  and Illustrator, helping customers build their creative confidence by removing the barriers between imagination and blank page, and bringing more precision, power, speed and ease directly into Creative Cloud applications and workflows.

Firefly for Enterprise is designed to be commercially safe and Adobe plans to enable businesses to custom train Firefly with their own branded assets, generating content in the brand’s unique style and brand language. The new company-wide offering enables every employee across an organization, at any creative skill level, to use Firefly to generate on-brand, ready-to-share content that can be edited in Express or Creative Cloud. Enterprises also have the opportunity to obtain an IP indemnity from Adobe for content generated by certain Firefly-powered workflows.

https://firefly.adobe.com

Brightspot CMS integrates OpenAI

July 6, 2023 /

Brightspot CMS, a content management system for global organizations to deliver digital experiences, announced a seamless integration with OpenAI, enabling organizations to elevate their content creation and personalization efforts. This integration helps content authors, editors, marketers and communications professionals to produce high-quality content that resonates with their target audiences. With the integration of OpenAI into Brightspot CMS, content creators can leverage AI-assisted suggestions for headlines, subheadlines and full body text, enabling them to expedite the content-creation process and meet tight deadlines.

OpenAI’s content-generation capabilities empower users to create variations of their content, ensuring that the right message reaches the right audience at the right time. With natural language queries and a search function that yields answers content creators can swiftly access and utilize specific database information, reducing time spent on manual searches. By automating the search and interpretation process, OpenAI’s tools free up content creators to focus on creativity, accelerating productivity and improving output quality.

https://www.brightspot.com/ai

Databricks announces LakehouseIQ

June 28, 2023 /

Databricks announced LakehouseIQ, a knowledge engine that learns what makes an organization’s data, culture and operations unique. LakehouseIQ uses generative AI to understand jargon, data usage patterns, organizational structure, and more to answer questions within the context of a business. Anyone in an organization can interact with LakehouseIQ using natural language to search, understand, and query data. LakehouseIQ is fully integrated with Databricks Unity Catalog to help ensure that democratizing access to data adheres to internal security and governance rules.

LakehouseIQ learns from signals within an organization using schemas, documents, queries, popularity, lineage, notebooks, and BI dashboards to gain intelligence as it answers more queries. LakehouseIQ helps employees get immediate answers to questions without requiring that they possess the technical skill required by traditional data analysis tools. The engine understands their unique business jargon and context to more accurately interpret the intent of the question, and can even generate additional insights that could spur new questions or lines of thinking. With LakehouseIQ, every employee, not just data scientists, can unlock the full potential of internal corporate data to make better, more informed decisions. The Databricks Assistant, powered by LakehouseIQ, is in preview.

https://www.databricks.com/blog/introducing-lakehouseiq-ai-powered-engine-uniquely-understands-your-business

Snowflake unveils large language model to extract data from documents

June 27, 2023 /

Snowflake announced new advancements to its single, unified platform that make it easier for organizations to get value from all of their data. With Document AI (private preview), Snowflake is launching a new large language model (LLM) built from Applica’s generative AI technology to help customers understand documents and put their unstructured data to work. Building on Snowflake’s support for unstructured data, Snowflake’s built-in Document AI will make it easier for organizations to understand and extract value from documents using natural language processing.

Document AI stems from Snowflake’s acquisition of Applica (Sept. 2022) and leverages its purpose-built, multimodal LLM. By integrating this model within Snowflake’s platform, organizations will be able to easily extract content like invoice amounts or contractual terms from documents and fine-tune results using a visual interface and natural language. Customers are using Document AI to help their teams be smarter about their businesses, and enhance user productivity in secure and scalable ways. Snowflake is starting with Document AI and plans to expand these capabilities to more types of unstructured data.

https://www.snowflake.com/news/snowflake-unveils-new-large-language-model-to-extract-deeper-insights-from-documents-while-continuing-to-advance-platform-speed-and-performance/

MongoDB launches five new capabilities for MongoDB Atlas

June 22, 2023 /

MongoDB, Inc. announced five new products and features for its developer data platform, MongoDB Atlas, that make it faster and easier for customers to build modern applications, for any workload or use case. The new products and features include:

  • MongoDB Atlas Vector Search simplifies bringing generative AI and semantic search into applications for highly engaging end-user experiences.
  • MongoDB Atlas Search Nodes now provide dedicated infrastructure for search use cases so customers can scale independently of their database to manage unpredictable spikes and high-throughput workloads with greater flexibility and operational efficiency.
  • MongoDB Atlas Stream Processing transforms building event-driven applications that react and respond in real-time by unifying how developer teams work with data-in-motion and data-at-rest.
  • MongoDB Atlas Time Series collections now make time series workloads more efficient for use cases from predictive maintenance for factory equipment to automotive vehicle-fleet monitoring to financial trading platforms.
  • New multi-cloud options for MongoDB Atlas Online Archive and Atlas Data Federation enable customers to tier and query data in Microsoft Azure and in addition to Amazon Web Services.

Together, these new features for can speed up their pace of innovation by standardizing many types of workloads on a single developer data platform across the enterprise.

https://www.mongodb.com/press/mongodb-launches-five-new-capabilities-for-mongodb-atlas-to-build-new-classes-of-applications

Databricks announces Lakehouse Apps

June 20, 2023 /

Databricks introduced Lakehouse Apps, a new way for developers to build native, secure applications for Databricks. Lakehouse Apps will enable Databricks customers to have easy access to a wide range of applications that run entirely inside their Lakehouse instance, using their data, with the full security and governance capabilities of Databricks. Lakehouse Apps will give users safe and easy access to a wide range of new applications and reduce time and effort to adopt, integrate, and manage data and AI applications.

By running directly on a customer’s Databricks instance, these apps can easily and securely integrate with the customer’s data, use and extend Databricks services, and enable users to interact with a single sign-on experience without data ever leaving the customer’s instance. Developers can use any technology and language of their choice to build apps and aren’t limited to a proprietary framework.

The company also introduced new data sharing providers and AI model-sharing capabilities to the Databricks Marketplace, a marketplace for data, AI, and applications.

Databricks Marketplace will be generally available on June 28, 2023. Lakehouse Apps and AI model sharing in Databricks Marketplace are expected in preview in the coming year.

https://www.databricks.com

Expert[.]ai expands partnership with SS&C Blue Prism

June 13, 2023 /

Expert.ai, a provider of AI-powered language solutions to enterprises, announced the integration of its hybrid AI platform with SS&C Blue Prism’s intelligent automation platform.

As an approved partner within SS&C Blue Prism’s Technology Alliance Program—a large ecosystem of ready-to-integrate solutions and technologies accelerating digital transformation—expert[.]ai provides state-of-the-art approaches in natural language understanding and processing (NLU / NLP), machine learning and the latest large language models (LLMs) like GPT. With these combined technologies, organizations can expand their intelligent automation capabilities, delivering new solutions to support their strategic business goals.

The ability to accurately perform linguistic tasks at scale has become a core component of achieving long-term transformational value with intelligent automation. NL-powered bots help enterprises automate business processes based on large volumes of unstructured data—text documents, emails, customer interactions, call notes, etc. — reducing errors, improving efficiency and increasing the scalability of operations. Through data accurately analyzed and processed by expert[.]ai and then automated on the SS&C Blue Prism platform, bots and low-code apps can extend to more complex processes with high accuracy and lower implementation costs.

https://www.expert.ai ■ https://www.blueprism.com

Adobe adds Firefly generative AI capabilities to Illustrator

June 13, 2023 /

Adobe unveiled Generative Recolor (beta), the first integration of Adobe Firefly in Adobe Illustrator, enabling designers to experiment with colors using simple text prompts. Generative Recolor magically transforms colors in vector artwork. Previously, brands created color variations manually every time they developed new packaging, rethought logo color options before a rebrand or redesigned their websites; now, designers will be able to accelerate time-consuming color processes, freeing time for more creative tasks. Generative Recolor allows:

  • Faster Color Capture: Save time by recoloring graphics using simple text prompts.
  • Color Discovery and Transformation: Experiment easily with colors, palettes and themes to achieve the right look and feel for your artwork.
  • Multiple Colorway Variations: Generate numerous color variations from a single artwork file for use across social, print and web.

Firefly is embedded into creators’ workflows and is designed to generate commercially safe, professional-quality content. Adobe plans to enable enterprises to custom train Firefly with their own branded assets and generate content in the brand’s unique style and brand language using APIs to increase automation.

The latest Illustrator release also includes Retype (beta), new Layers functionalities, and improvements to Image Trace. Generative Recolor and Retype are available as beta features in Illustrator today.

https://www.adobe.com/products/illustrator.html

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