The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Month: September 2024 (Page 1 of 3)

Magnolia integrates Magnolia DXP with Veeva Vault PromoMats

September 30, 2024 /

Magnolia announced a new connector to integrate compliant content in Veeva Vault PromoMats with the Magnolia Digital Experience Platform (DXP). The connector allows marketing teams to create and edit healthcare professional (HCP) portals, brand sites, and patient portals in the Magnolia DXP using medical, legal, and regulatory (MLR) approved assets from Vault PromoMats. Mutual life sciences customers can streamline content management and deliver compliant promotional materials faster across channels.

The Magnolia DXP integrates DAM, CMS, CDP, CRM, and analytics systems to consolidate a commercial organization’s digital ecosystem onto a single interface. Marketing teams use their preferred systems, while giving biopharma companies a common way to create digital content and experiences across brands. The Magnolia connector unifies authoring in the Magnolia DXP and simplifies content reuse, claims management, and publishing in different portals and websites.

With the Magnolia DXP configured with Veeva login credentials, marketers can access MLR-approved product claims, images, text, and modular assets in Vault PromoMats from Magnolia for smoother content authoring and publishing on multiple channels. Vault PromoMats remains the single source of truth, updates are made in real time so that portals, sites, and applications built in Magnolia always display the latest compliant content.

https://www.magnolia-cms.com

Optimizely to acquire NetSpring

September 30, 2024 /

Optimizely, a digital experience platform (DXP) provider and experimentation platform, announced it has signed a definitive agreement to acquire the warehouse native analytics platform NetSpring. With this acquisition, Optimizely’s DXP will provide “warehouse native” analytics, enabling customers to tie experimentation and other digital experience activities to business metrics and outcomes that resides in customers’ data warehouses. Experimentation teams can also apply Optimizely’s Stats Engine and advanced analysis to data inside a customer’s data warehouse to gain access to visualization capabilities. Based on the technology that NetSpring provides, all of this can happen without extracting data out of cloud data warehouses such as Snowflake, Databricks, Google BigQuery or Amazon Redshift, which maximizes speed, minimizes cost and protects customer data privacy. The new capabilities will also serve as the future analytics platform across all of Optimizely One, an operating system for marketers.

Founded in 2019 by the same team as Business Intelligence (BI) company ThoughtSpot, NetSpring is an advanced platform in the warehouse native analytics space. With a proven product and large enterprise deployments, NetSpring will quickly complement Optimizely’s offerings, starting with experimentation. The transaction, which is expected to be completed in the fourth quarter of 2024, is subject to customary closing conditions.

https://www.optimizely.com/netspring

Ai2 launches family of open multimodal models

September 25, 2024 /

The Allen Institute for AI (Ai2) announced the launch of Molmo, a family of state-of-the-art multimodal models. This family includes our best Molmo model, closing the gap between close and open models, an open, efficient, and powerful multimodal model. Currently, most advanced multimodal models can perceive the world and communicate with us, Molmo goes beyond that to enable one to act in their worlds, unlocking a new generation of capabilities, from sophisticated web agents to robotics:

  • Exceptional image understanding: Molmo can accurately understand a wide range of visual data, from everyday objects and signs to complex charts, messy whiteboards, clocks, and menus.
  • Actionable insights: To bridge the gap between perception and action, Molmo models can point to what they perceive, empowering capabilities that require spatial knowledge. Molmo can point to UI elements on the screen, enabling developers to build web agents or robots that can navigate complex interactions on screen and within the real-world.

Molmo was designed and built in the open and Ai2 will be releasing all model weights, captioning and fine-tuning data, and source code. Select model weights, inference code, and demo are available, providing open access to enable continued research and innovation in the AI community.

https://molmo.allenai.org/blog

Gilbane Advisor 9-25-24 — CORE-Bench, dynamic knowledge graphs

September 25, 2024 /

This week we feature articles from Amanda Kau, and Sayash Kapoor & Arvind Narayanan.

Additional reading comes from Ben Dickson, Fulala Fulalasen, Cassie Kozyrkov, and Paul Sawers.

News comes from Brightspot, Adobe, Hubspot, and DeepL.

Our next issue will arrive October  2.

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

Opinion / Analysis

Can AI automate computational reproducibility?

Sayash Kapoor and Arvind Narayanan tackle a critical issue…
“In a new paper, we introduce CORE-Bench (Computational Reproducibility Agent Benchmark), a benchmark for measuring how well AI can automate computational reproducibility, that is, reproducing a paper’s findings when the code and data are available.”

Introduction: (5 min) 
https://www.aisnakeoil.com/p/can-ai-automate-computational-reproducibility
Full paper:
PDF: https://arxiv.org/pdf/2409.11363v1
HTML: https://arxiv.org/html/2409.11363v1

Dynamic knowledge graphs: a next step for data representation?

How do you integrate temporal data into knowledge graphs? What’s the difference between dynamic knowledge graphs, temporal knowledge graphs, and discrete time dynamic graphs? What kinds of applications are they used for? And how do they work, or compete with, LLMs? Amanda Kau does a nice job addressing these and other questions. (9 min)

https://medium.com/@researchgraph/dynamic-knowledge-graphs-a-next-step-for-data-representation-c35a205a520a

More Reading

All Gilbane Advisor issues

Content technology news

Brightspot announces latest version of their content management system

Updated CMS has expansive tech stack integrations, AI features that speed up creation time, and prioritizes streamlined content workflows.
https://www.brightspot.com

HubSpot launches Breeze, updates Marketing & Content Hubs

Breeze includes Copilot, an AI companion; Agents, AI experts who complete work from start to finish; 80+ AI features embedded across the platform.
https://www.hubspot.com/company-news/fall24-spotlight

DeepL announces glossary generator

Companies can create and manage custom translation glossaries so specific words or phrases are translated consistently according to their unique terminology.
https://www.deepl.com/en/translator

Adobe Experience Cloud updates help personalize and measure AI-generated content

New offerings enable brands to personalize AI-generated content variations across channels such as web and email to boost customer engagement.
https://news.adobe.com/news/news-details/2024/Adobe-Unveils-Innovations-in-Adobe-Experience-Cloud-for-Brands-to-Personalize-and-Measure-AI-generated-Content/default.aspx

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 most Wednesdays. We do not sell or share personal data.

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Contentstack adds visual building capabilities to CMS

September 24, 2024 /

Contentstack, a composable digital experience platform (DXP) and Enterprise Headless CMS, announced native visual building capabilities to its platform. Visual Builder’s experience-building capabilities accelerate workflows for marketers. Marketers can now see their work, present and future, in a headless environment. With Contentstack, teams can now natively visualize:

  • Composability across vendors (e.g. pulling content from a DAM + CMS)
  • Personalization and audience impersonation
  • Generative AI authoring
  • Future iterations of their digital properties

As more organizations adopt Headless CMS technology and composable architectures to support the demands of modern marketing, the need for business users to be able to visualize their work has steadily increased. Digital experience creation moved to the back end, leading to complicated planning and trial-and-error processes. Contentstack’s Visual Builder offers a full set of tools for users to create and see their work in real time, across any persona.

Developers and designers will also be able to build components and layouts with drag-and-drop functionality, maintaining firm guardrails around how a content author’s work will look.

https://www.contentstack.com/platforms/visual-building

Salesforce to acquire Zoomin

September 24, 2024 /

Salesforce has signed an agreement to acquire Zoomin, a data management provider for unstructured data. Salesforce Data Cloud, with Zoomin’s capabilities, will accelerate the unlocking of unstructured data to power AI agents, making them more personalized and context-aware in every customer interaction. With this, Salesforce’s Agentforce will gain new levels of intelligence, enabling customers to build AI that provides real-time, data-informed responses and actions tailored to individual customer needs. The acquisition is expected to close in the fourth quarter of Salesforce’s fiscal year 2025, subject to customary closing conditions.

With Zoomin augmenting Data Cloud, Salesforce can power new use cases for customers across multiple customer touch points. As an example, Service Cloud customers will be able to leverage enterprise knowledge to automate service interactions and improve Agentforce assistance for service representatives. By leveraging enterprise knowledge, service teams will enable humans to work with agents to achieve faster resolutions, higher customer satisfaction, and lower operational costs. Knowledge is crucial for customer success, and because knowledge is distributed, Zoomin enables the integration of unstructured data from various sources, empowering service teams with a comprehensive understanding of their customers.

Salesforce customers are already using Zoomin’s unified knowledge product to deliver intuitive experiences.

https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-zoomin/

MindsDB launches conversational enterprise-ready AI

September 24, 2024 /

MindsDB announced the launch of Minds, a turnkey, private conversational AI designed to reason and orchestrate across real-time and historical enterprise data to answer questions for AI applications and agents.

With Minds, developers can move from prototyping to building production-ready AI applications in weeks, without requiring specialized AI expertise. These applications can reason and understand user requests in natural language, including use cases for conversational search, analytics, and triage.

Minds answer questions across complex and diverse data environments. Minds perform transparent semantic query planning, showing users how they “think” through answering questions, as follows:

  • Minds are natural language fluent and understand user intent through conversation.
  • Based on that intent, Minds select the best data sources across databases, data warehouses, file systems, and applications, providing a unified view of an organization’s data.
  • Minds then translate the question into a plan of queries, optimized and federated across the chosen data sources.
  • Minds are also capable of applying calculations, such as sorting or structuring, needed to deliver the right answer.

Available as a turnkey, private solution, Minds ensure security, privacy, and regulatory compliance. Minds operate securely across any cloud or on-premises environment via Nvidia NIMs, and can be deployed serverlessly in MindsDB’s cloud.

https://mindsdb.com/newsroom/mindsdb-launches-conversational-enterprise-ready-ai-that-shows-you-how-it-thinks

HubSpot launches Breeze, updates Marketing & Content Hubs

September 18, 2024 /

HubSpot launched Breeze, its embedded AI with new Copilot and Agents; Breeze Intelligence for data enrichment; and updates to Marketing Hub and Content Hub. Featured releases:

  • Breeze, HubSpot’s AI to power the customer platform. Breeze includes:
    • Copilot, HubSpot’s AI companion to make work easier.
    • Four Breeze Agents to get work done fast, including Content Agent, Social Media Agent, Prospecting Agent and Customer Agent.
  • Breeze Intelligence, HubSpot’s data enrichment and buyer intent solution:
    • Data enrichment pulls from a database of over 200 million buyer and company profiles to enrich company and contact records in HubSpot’s Smart CRM.
    • Buyer intent to help customers identify which prospects are best fit.
    • Form shortening to increase conversion by automatically adding information Breeze Intelligence already knows.
  • Updates to Marketing Hub and Content Hub including tools:
    • to capture attention like Content Remix for video, which uses AI to turn a single video into a full campaign of clips, audio and written content.
    • like Lead Scoring to find high engagement, high-fit prospects, and Google Enhanced Conversions to leverage first-party conversion data from HubSpot.
    • to measure impact like the new Marketing Analytics Suite, which brings all marketing metrics and reporting in one place and get results faster.

https://www.hubspot.com/company-news/fall24-spotlight

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