Curated for content, computing, and digital experience professionals

Year: 2023 (Page 11 of 23)

Acquia enhances digital experience platform for personalization

Acquia has enhanced the capabilities of its digital experience platform, Acquia DXP, to create more personalized experiences for customers. The combination of the customer data platform (Acquia CDP) and Acquia Personalization enables customers to create digital experiences based on knowledge gained from a broader array of channels, making the most of their anonymous, known, and understood customer data.

  • Personalizing customer journeys of anonymous visitors as they become known and understood. By continuously collecting behavioral data, marketers can assemble it into a single profile view. This improves as additional identifying information becomes available, allowing the visitor to progress from anonymous to known to understood.
  • Consolidating all IDs associated with a unique individual, regardless of channel and device. As a customer moves among channels, multiple tracking IDs are generated through interactions with different systems and potentially from multiple client devices.
  • Creating responses to customer actions that take into account interactions at every touch point. Use behavioral data from the website to make product recommendations based on past interactions, even before the customer has been identified.

Acquia CDP and Acquia Personalization are available standalone or within Acquia DXP. Both products support composable customer data strategies through integrations with other Acquia and third-party marketing products.

https://www.acquia.com/newsroom/press-releases/acquia-enhances-digital-experience-platform-power-omnichannel-customer

Gilbane Advisor 6-14-23 — GPT-2030, knowledge extraction

This week we feature articles from Jacob Steinhardt, and Fan Li.

Additional reading comes from Shirley Lu & George Serafeim, Cassie Kozyrkov, M.G. Siegler, and Jeffrey Pound et al.

News comes from Adobe, Neo4j, Bloomreach, and Optimizely.

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


Opinion / Analysis

What will GPT-2030 look like?

Of course we would all like to know, but given the speed of new developments in machine learning it’s difficult to make, or have confidence in, any predictions. Jacob Steinhardt isn’t afraid to try, and his post is a must-read for anyone looking for some data points to inform their own research and thinking. You’ll want a cup of coffee or tea and perhaps a little more time than the specified read time (27 min).

https://bounded-regret.ghost.io/what-will-gpt-2030-look-like/

Explore OntoGPT for schema-based knowledge extraction

“The OntoGPT framework and SPIRES tool provide a principled approach to extract knowledge from unstructured text for integration into Knowledge Graphs (KGs), using Large Language Models such as GPT. This methodology enables handling complex relationships, ensures logical consistency, and aligns with predefined ontologies for better KG integration.”

Fan Li describes another open available tool that he believes overcome some limitations to the popular LangChain and LlamaIndex frameworks. The more tools the better. (7 min).

https://apex974.com/articles/ontogpt-for-schema-based-knowledge-extraction

More Reading

All Gilbane Advisor issues


Content technology news

Adobe announces Firefly for Enterprise

Adobe plans to enable businesses to custom train Firefly with their own branded assets, embedding Firefly into their own ecosystem.
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

Enterprise customers can now leverage knowledge graphs with Google’s large language models to improve generative AI outcomes.
https://neo4j.com

Bloomreach enhances customer experience with Gorgias integration

Gorgias provides data about the customer experience and gives Engagement users a more in-depth understanding of the customer journey.
https://www.bloomreach.com/

Optimizely expands partnership with Contentsquare

Contentsquare enables Optimizely users to leverage heatmaps and data analyses to uncover customer insights and enhance experiments.
https://www.optimizely.com/insights/blog/optimizely-x-contentsquare-5-ways-were-better-together/

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.

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

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.aihttps://www.blueprism.com

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

Bloomreach enhances customer experience with Gorgias integration

Bloomreach announced businesses using Bloomreach Engagement can now integrate their services with Gorgias , a helpdesk platform designed to streamline customer support operations. As an integral part of the Shopify ecosystem, Gorgias provides essential data about the customer experience and gives Engagement users a more in-depth understanding of the customer journey. Gorgias can help to improve conversion rates and customer satisfaction, ensuring a positive journey from beginning to end. Its integration with Bloomreach Engagement will offer businesses a more in-depth understanding of the customer, ensuring every communication a customer receives is based on a complete understanding of their journey.

It’s essential to have helpdesk data readily available within a marketing platform to consistently offer relevant information and context. By integrating Bloomreach Engagement with Gorgias, marketers using Engagement gain comprehensive insights into all aspects of a purchase. Gorgias assists in refining a marketing team’s personalization efforts and enables the creation of more tailored campaigns.

Gorgias fits into any personalization-driven marketing strategy or campaign. Through this integration, marketers can identify dissatisfied customers, adjust their communications accordingly, enhance personalized experiences for loyal customers, or win back those with bad experiences in the past. Gorgias provides an additional level of insight for Engagement users.

https://www.bloomreach.com/

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

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