Curated for content, computing, and digital experience professionals

Month: September 2023 (Page 1 of 3)

Atlan launches Tag Management, enabling bi-directional tag sync

Atlan, an active metadata platform, has launched Tag Management, accelerating the shift of data governance to the left. 

As the modern data stack continues to evolve, data teams are faced with the challenge of ensuring the right people have the right access to the right data. Data teams need to ensure that they can confidently identify sensitive data across their data stack and protect it with the right access controls, while serving trusted data to data consumers.

Atlan’s Tag Management is a new way for data teams to manage data access across the modern data stack. Tags are important metadata that can be assigned to data assets to monitor sensitive data for compliance, discovery, and protection use cases.

For data teams that have tag-based access control built into their Snowflake Data Cloud, Atlan can now become the control plane for access control management. Once a data producer tags a data asset in Atlan or Snowflake, data teams can rest assured that the data asset is protected across the data ecosystem. 

https://atlan.com

Gilbane Advisor 9-27-23 — Information foraging, multilingual datasets

This week we feature articles by Raluca Budiu, Feifei Liu, Emma Cionca, & Amy Zhang, and Dhanshree Shripad Shenwai.

Additional reading comes from Matthew Tyson, Milton Hwang, Alan Morrison, and George Stavrakis.

News comes from Amazon & Anthropic, Contentful, Writer, and StreamText.

All previous issues are available at https://gilbane.com/gilbane-advisor-index


Opinion / Analysis

Information foraging with generative AI: a study of 3 chatbots

Nielsen Norman Group does their thing — focusing on the user experience… “In a study of ChatGPT, Bard, and Bing Chat, users found these tools helpful and trustworthy. They expected these AI chatbots to aggregate information in a concise and specific manner, while fully considering contextual cues.” (20 min)

https://www.nngroup.com/articles/generative-ai-diary

Researchers from the University of Oregon and Adobe introduce CulturaX: a multilingual dataset with 6.3T Tokens in 167 languages tailored for large language model (LLM) development

This looks like an especially worthwhile contribution to open source datasets for LLM training given its size and the number of languages included. Dhanshree Shripad Shenwai provides a summary of the paper with links to it, as well as to the dataset now available on HuggingFace. 

(3 min) Summary: https://www.marktechpost.com/2023/09/22/researchers-from-the-university-of-oregon-and-adobe-introduce-culturax-a-multilingual-dataset-with-6-3t-tokens-in-167-languages-tailored-for-large-language-model-llm-development/
Paper: https://arxiv.org/pdf/2309.09400v1.pdf

More Reading

All Gilbane Advisor issues


Content technology news

Amazon and Anthropic announce strategic collaboration to advance generative AI

Amazon will invest up to $4 billion in Anthropic for a minority ownership in the company. Anthropic to use AWS Trainium and Inferentia chips.
https://press.aboutamazon.com/2023/9/amazon-and-anthropic-announce-strategic-collaboration-to-advance-generative-ai ■ https://www.anthropic.com

Contentful launches composable content platform in AWS Marketplace

Platform unlocks digital content from across the organization so teams can collaborate effectively to craft and deliver digital experiences.
https://www.contentful.com/partners/technology/aws/

Writer gets $100 million series B to deliver generative AI to enterprises

Platform embeds AI into any business process and pairs Writer-built LLMs with Knowledge Graph which integrates with business data sources.
https://writer.com

StreamText updates Automatic Speech Recognition Caption platform

StreamText can support human and AI-based caption generation workflows to ensure accessibility at events, in the classroom, and in meetings.
https://streamtext.net/automatic-captions/

All content technology news


The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

Subscribe | View online | Editorial policy | Privacy policy | Contact

Expert.ai launches Enterprise Language Model for Insurance (ELMI)

Expert.ai unveiled its “Enterprise Language Model for Insurance” – ELMI, a domain trained language model, to help insurers reach their process automation and digital transformation goals with the highest accuracy. By simplifying and powering the interaction with language data within the expert.ai Platform for Insurance, Insurers can access solutions that scale and take advantage of deep insurance domain expertise combined with the best and most cost-effective attributes of Large Language Models (LLMs) to automate core processes.

Through the expert.ai Platform for Insurance, ELMI supports key capabilities, including:

  • Generative Summarization: generate accurate summaries, condensing vast amounts of claim or policy information into concise insights, saving time and accelerating straight through processing or human review activities.
  • Zero Shot Extraction: extract crucial insurance data from structured/unstructured, handwritten/typed, good quality/bad quality sources with accuracy and automatically normalize output formats and add medical annotations such as ICD 9/10 medical codes.
  • Generative Q&A: answer questions quickly so underwriters and claims handlers can extract meaningful insights from proprietary case files by asking questions using natural language queries.
  • Cloud-agnostic: Offering the flexibility to deploy on any cloud infrastructure or on-premises, ELMI deployments easily meet insurer’s varying requirements.

https://www.expert.ai/expert-ai-launches-enterprise-language-model-for-insurance-elmi/

Acquia launches Acquia Exchange

Acquia, a digital experience technology provider, announced the launch of an integration hub, Acquia Exchange, to enhance the flexibility and extensibility of its digital experience platform. Acquia Exchange offers customers a single destination to discover integrations, connectors, and modules that enhance Acquia solutions and connect them to those of other technology providers. This intuitive hub makes it easier for organizations to extend their digital experience platform (DXP) using technology from Acquia’s ecosystem of SaaS partners.

As an open and composable DXP, Acquia allows for integrations with a wide range of third-party marketing, sales, and digital technologies. This enables customers to build productive digital experiences that meet the precise requirements of their own audiences. Now, with Acquia Exchange, customers can explore integrations by company name, technology category, or Acquia product.

Acquia Exchange helps customers discover three different types of integrations: 

  • Native – Developed and supported by Acquia.
  • Partner – Developed and supported by an Acquia technology partner or a solution partner.
  • Community – Developed and supported by a third-party vendor.

https://www.acquia.com/integrations

MongoDB announces new Atlas Vector Search capabilities

MongoDB announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search.

Developers can more easily aggregate and filter data, improving semantic information retrieval and reducing hallucinations in AI-powered applications. With new performance improvements for MongoDB Atlas Vector Search, the time it takes to build indexes is reduced to help accelerate application development. Additionally, MongoDB Atlas Vector Search is now integrated with fully managed data streams from Confluent Cloud to make it easier to use real-time data from a variety of sources to power AI applications.

MongoDB Atlas Vector Search provides the functionality of a vector database integrated as part of a unified developer data platform, allowing teams to store and process vector embeddings alongside virtually any type of data to more quickly and easily build generative AI applications.

https://www.mongodb.com/press/new-mongodb-atlas-vector-search-capabilities-help-developers-build-and-scale-ai-applications

Amazon and Anthropic announce strategic collaboration to advance generative AI

Amazon and Anthropic announced a strategic collaboration that will bring together their respective technology and expertise in safer generative artificial intelligence (AI) to accelerate the development of Anthropic’s future foundation models and make them widely accessible to AWS customers. As part of the expanded collaboration:

  • Anthropic will use AWS Trainium and Inferentia chips to build, train, and deploy its future foundation models, benefitting from the price, performance, scale, and security of AWS.
  • AWS will become Anthropic’s primary cloud provider for mission critical workloads, including safety research and future foundation model development. Anthropic plans to run the majority of its workloads on AWS.
  • Anthropic makes a long-term commitment to provide AWS customers around the world with access to future generations of its foundation models via Amazon Bedrock. In addition, Anthropic will provide AWS customers with early access to unique features for model customization and fine-tuning capabilities.
  • Amazon will invest up to $4 billion in Anthropic and have a minority ownership position in the company.
  • Amazon developers and engineers will be able to build with Anthropic models via Amazon Bedrock so they can incorporate generative AI capabilities into their work.

https://press.aboutamazon.com/2023/9/amazon-and-anthropic-announce-strategic-collaboration-to-advance-generative-aihttps://www.anthropic.com

Gilbane Advisor 9-20-23 — Software complexity, facial blurring

This week we feature articles by Mike Loukides, and Danilo Najkov.

Additional reading comes from Maria Stasimioti, Sarah K. White, Natasha Lomas, and Wangchunshu Zhou, Ningyu Zhang, Peng Cui, et al.

News comes from Adobe, Acquia, Netlify, and Cloudinary.

All previous issues are available at https://gilbane.com/gilbane-advisor-index


Opinion / Analysis

The real problem with software development

“It’s not writing code, it’s managing complexity”. So true. Mike Loukides has an excellent piece explaining what this means for modern software development, and for the utility of generative AI coding. This non-technical article (no code) is useful for anyone who has to make decisions about, or understand, software development projects, strategy, or operations. (5 min)

https://www.oreilly.com/radar/the-real-problem-with-software-development/

Unlocking the power of facial blurring in media: A comprehensive exploration and model comparison

Danilo Najkov reports on his project to understand how face detection and blurring is currently being accomplished. He compares algorithms used, and provides visual examples, and a web application he built to do so. (12 min)

https://towardsdatascience.com/unlocking-the-power-of-facial-blurring-in-media-a-comprehensive-exploration-and-model-comparison-261031603513

More Reading

All Gilbane Advisor issues


Content technology news

Adobe unveils Adobe GenStudio for enterprises

Solution combines content ideation, creation, production and activation to support the enterprise content supply chain with generative AI.
https://news.adobe.com/news/news-details/2023/Adobe-Unveils-Adobe-GenStudio-for-Enterprises/default.aspx

Acquia adds generative AI to digital asset management platform

Native integration for AI-generated product and image descriptions to speed time to market for digital assets used across customer channels.
https://www.acquia.com/newsroom/press-releases/acquia-dam-generativeai

Netlify announces Software Developer Kit (SDK)

New suite to accelerate modern web development for enterprise developers with a streamlined, accelerated path to composable web architecture.
https://www.netlify.com/products/software-development-kit

Cloudinary updates Digital Asset Management (DAM) platform

Studio is a new feature that allows allows non-technical users to quickly adapt images and video with built-in generative AI capabilities.
https://cloudinary.com

All content technology news


The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

Subscribe | View online | Editorial policy | Privacy policy | Contact

Contentful launches composable content platform in AWS Marketplace

Contentful, a composable content platform for digital-first business, today announced that it has expanded its relationship with Amazon Web Services (AWS) to launch the Contentful Composable Content Platform in AWS Marketplace. AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software and or services that run on AWS. With Contentful, powered by AWS, customers can build and orchestrate content experiences across all of their digital channels and platforms through AWS Marketplace.

Now, AWS customers can license Contentful through AWS Marketplace for seamless integration of Contentful with their existing cloud infrastructure, in addition to streamlined procurement, consolidated billing and cost-saving opportunities. This enables streamlined management and enhanced performance of digital content, empowering customers to deliver omni-channel digital experiences with increased speed and agility, and ensuring reliability and consistency to meet evolving consumer demands. Contentful, powered by AWS, allows organizations to build digital experiences by creating, managing, and delivering content across websites, mobile apps, and digital platforms.

https://www.contentful.com/partners/technology/aws/

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