Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 11 of 74)

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 adds Firefly generative AI capabilities to Illustrator

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

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

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

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

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

Optimizely expands partnership with Contentsquare

Optimizely, a digital experience platform (DXP) provider, announced it has expanded its partnership with digital experience analytics platform Contentsquare to enhance its experimentation capabilities with comprehensive journey analytics. Zone-Based Heatmaps from Contentsquare is a part of a two-way integration that provides Optimizely Web Experimentation users with insights on customers’ in-page behavior, a deeper understanding of the reasons behind experiments’ performance, and a pathway toward optimized digital experiences.

Available as a Chrome Extension, Zone-Based Heatmaps allows marketing teams to access a holistic view of customer behavior needed to establish always-on optimization that fuels personalization. Zone-Based Heatmaps enables marketing teams to glean and quickly act on unique engagement, conversion, and revenue data for each of its website page elements. Paired with Optimizely, marketers can perform deeper evaluations of ongoing and completed experiments and uncover new, revenue-driving experiments to run.

In addition to Optimizely and Contentsquare customers, this news could help users of Google Optimize who will need an experimentation offering when the platform sunsets on September 30, 2023.

https://www.optimizely.com/insights/blog/optimizely-x-contentsquare-5-ways-were-better-together/

Datometry partners with Databricks

Datometry, provider of a database virtualization solution, announced their partnership with Databricks to accelerate the transition of enterprises from classic data warehouse technology to the lakehouse. The partnership will help enterprise customers overcome the lock-in of legacy vendors.

Enterprises struggle to move their workloads off legacy data warehouses like Teradata and Oracle. Until now, the way companies moved applications off these legacy systems was to rewrite them and translate the embedded SQL with conversion tools. This approach is not only costly and time-consuming but also error-prone and poses significant risk to an organization.

Datometry has joined the Databricks Technology Partner Program to offer customers a validated integration with Databricks that overcomes the challenges of conventional migrations. With Datometry, enterprises can move their business as-is without having to rewrite or redefine application code.

https://datometry.com

Snowflake acquires Neeva

From the Snowflake blog…

Search is fundamental to how businesses interact with data, and the search experience is evolving rapidly with new conversational paradigms emerging in the way we ask questions and retrieve information, enabled by generative AI. The ability for teams to discover precisely the right data point, data asset, or data insight is critical to maximizing the value of data.

That’s why Snowflake is acquiring Neeva, a search company founded to make search even more intelligent at scale. Neeva created a unique and transformative search experience that leverages generative AI and other innovations to allow users to query and discover data in new ways.

We plan to infuse and leverage these innovations across the Data Cloud to the benefit of our customers, partners and developers. Neeva allows us to tap into some of the most cutting-edge search technologies available to bring search and conversation in Snowflake to a new level.

As part of the acquisition, we are joined by some of the brightest minds working in search today. Neeva’s leadership and team members have been instrumental in the creation of numerous successful products like Google’s search advertising and YouTube monetization.

https://www.snowflake.com/blog/snowflake-acquires-neeva-to-accelerate-search-in-the-data-cloud-through-generative-ai/

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