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Category: Computing & data (Page 16 of 80)

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.

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

Optimizely introduces Content Graph

June 12, 2023 /

Optimizely, a digital experience platform (DXP) provider, introduced Content Graph: a service that developers can use to search and deliver content anywhere. This update to Optimizely’s Content Management System (CMS), makes it possible to repurpose content, provide customized search experiences, and create content blocks, enabling more dynamic content experiences.

Content Graph uses GraphQL, a query language for APIs known for its powerful yet simple form of data fetching. It serves as an on-demand content library that provides a streamlined way to access content, enabling the delivery of content across multiple platforms, channels, and devices. Content Graph extends GraphQL to offer search and full text indexing, speeds served from CDNs, and a universal API that will layer into all Optimizely products beyond just the CMS.

A traditional CMS offers an intuitive interface, ensuring ease of use for marketers; however, it may pose challenges when it comes to repurposing content across channels. On the other hand, a headless CMS addresses this issue but lacks a marketer-friendly interface, which means that it can create dependencies on developers. Optimizely customers no longer have to choose – they can use the CMS in a headless or traditional fashion, or a combination of the two.

https://www.optimizely.com/headless

Adobe announces Firefly for Enterprise

June 8, 2023 /

Adobe announced a generative AI offering that brings Adobe Firefly and Adobe Express to enterprises. Firefly for Enterprise is designed to help enterprises streamline and accelerate content creation while optimizing costs. The new company-wide offering enables every employee across an organization, at any creative skill level, to use Firefly to generate content that can be edited in Express or Creative Cloud. Express bridges workflows between creative professionals and marketers through integrations into Creative Cloud applications like Photoshop and Illustrator as well as Experience Manager, their CMS solution.

As part of this new offering , users will be able to access Firefly through the standalone Firefly application, Adobe Express and Creative Cloud, and Adobe plans to enable businesses to be able to custom train Firefly with their own branded assets, embedding Firefly into their own ecosystem and generating content in the brand’s style and brand language using APIs to increase automation. Firefly is designed to be safe for commercial use and enterprises also have the opportunity to obtain an IP indemnity from Adobe for content generated by certain Firefly-powered workflows. The new Adobe Firefly for enterprise offering will be available in the second half of 2023.

https://news.adobe.com/news/news-details/2023/Adobe-Brings-Firefly-and-Express-to-Enterprises/default.aspx

Neo4j announces new integrations with generative AI features in Vertex AI

June 7, 2023 /

Neo4j, a graph database and analytics company, announced an integration with Google Cloud’s generative AI features in Vertex AI, Google’s large language model (LLM) platform. The result helps enterprise customers harness knowledge graphs built on Neo4j’s cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable. Specifically:

  1. Leverage natural language to interact with knowledge graphs: Vertex AI’s generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
  2. Transform unstructured data into knowledge graphs: Developers can leverage new generative AI capabilities in Vertex AI to process unstructured data, structure it, and load it into a knowledge graph.
  3. Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs.
  4. Support for vector embeddings: Neo4j can be leveraged to provide long-term memory for large language models through support of vector embeddings. Neo4j’s Graph Data Science supports more than 60 algorithms.
  5. Grounding with knowledge graphs: Grounding is the ability of enterprise customers to validate responses received from large language models against enterprise knowledge graphs. Developers can use LangChain along with Neo4j-based knowledge graphs to enable grounding use cases.

https://neo4j.com

PingCAP unveils TiDB 7.1

June 5, 2023 /

PingCAP, a developer of distributed SQL database solutions, announced the release of TiDB 7.1, the newest iteration of its open source product, with enhanced features, improved performance, and greater ease of use. TiDB powers all applications with elastic scaling, real-time analytics, and continuous data. With simplified operations and enhanced MySQL compatibility, users can better meet high customer expectations and accelerate the productivity of developers and infrastructure engineers. TiDB 7.1 allows users to:

  • Stabilize business-critical workloads by giving multi-workload stability control to DB operators and significantly improving tail latencies.
  • Speed up workloads with fewer resources via architectural enhancements for higher throughput, lower storage costs, and reduced scaling time.

TiDB 7.1 also makes generally available multiple enhancements and key features added in prior non-stable releases since TiDB 6.5, including:

  • Multi-tenant UX – Allows operators of TiDB to set resource quotas and priority for different workloads.
  • Added flexibility and speed with a multi-value index – Also known as a JSON index, a multi-value index (supported in MySQL) enables an N:1 mapping of index records to data records.
  • Accelerated Time to Live (TTL) – Better performance and resource utilization by parallelizing across TiDB nodes.
  • Accelerated analytics with late materialization.

https://www.pingcap.com

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