Coveo, provider of AI-powered relevance platforms that transform search, recommendations, and personalization within digital experiences, announced Coveo for Adobe. The new offering brings improved search and discovery to Coveo’s customers that use Adobe Experience Manager (AEM).
With the deprecation of Adobe’s Search & Promote product, organizations using AEM have had to rely on Apache Lucene and Solr to power search. Coveo for Adobe offers a search replacement option that makes it easier for marketers and developers alike to bring AI to search. By combining pre-packaged machine learning models for site search, ecommerce, customer service, and the workplace, alongside a rich toolset of connectors and UI components, Coveo helps organizations quickly optimize their digital experiences, and the websites, portals and apps that define them.
In this issue we take you on a trip through enterprise knowledge graph lands, look at how blockchain is helping companies smooth collaboration, consider disruptive ecosystems forming around CDWs, and introduce you to a new effort to improve the management and utility of business documents.
Our content technology news weekly will be out tomorrow as usual.
From Flatland to HOG Heaven
Large-scale enterprise knowledge graphs (EKGs) are still a rare beast in enterprises in spite of their promise which is ably demonstrated by implementations at the largest tech companies. Mainstream scarcity of EKGs is understandable given the amount of change involved – both in how we think about information management problems, and of course in how we marshal the troops to plan and deploy.
Dan McCreary takes you on an amusing journey through four lands with distinct characteristics and cognitive styles, to help you envision the who and what you need to reach HOG (Hardware Optimized Graph) Heaven.
How blockchain can simplify improve collaboration and simplify partnerships
There are many potential applications for blockchains and enterprises in multiple industries have built private blockchain applications. Information sharing and collaboration are areas where most organizations could benefit from blockchains. This non-technical Harvard Business Review article takes you through some of the ways blockchain is being used to significantly improve collaboration, and what to watch out for in practice.
Gabriel de Vinzelles suggests it will, and as an investor is looking at the evolving ecosystem around cloud data warehouses (CDWs), and the startups who are looking to “rebuild many product categories such as Data Ingestion, Data Transformation, Data Governance, Data Quality, etc.”. There is certainly a lot of opportunity here, especially for unstructured data based on inquiries we see.
Of course Snowflake is not the only CDW and Vinzelles isn’t only talking about them. The ecosystems around other CDWs will also be disrupted by the same, or similar companies he is tracking.
Documents have always been the problem child of information management because of the infinite varieties of content, structure, format, and the relationships between them. Even with the advances in machine learning, natural language processing, and graph databases we struggle with the complexity and and cost of managing documents and their content. But the combination of these technologies can help, and that is startup Docugami’s goal. Their product is in semi-stealth mode, but this TechCrunch interview with Docugami Co-founder Jean Paoli will give you an idea of what they are up to, and why we refer to “docs vs cats” in this issues’ subject line.
The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We also publish curated content technology news weekly We do not sell or share personal data.
Strapi, provider of an open-source “headless” content management system (CMS), announced the release of Strapi v3.6, including a content internationalization (i18n) feature in the Community Edition. Community users can now manage their content in multiple languages. Strapi provides “backend” functionality for web and mobile applications or any type of IoT devices. It is also particularly suitable for websites designed according to the Jamstack model (JavaScript, API and pre-rendered markup, without web servers). Strapi is designed to work with front-end frameworks including React, Gatsby, Vue.js, Next.js or any static site generator, and it supports many databases and can be requested using both REST and GraphQL APIs. Community users can:
Create multilingual websites or apps: Users can create and manage content in multiple languages and for multiple locales.
Personalize and localize content: Users are able to customize messages and content delivered to each target audience taking into account their language and geographical location.
Set up efficient publishing workflows: Through integrations with the Draft & Publish system and the Role Based Access Control feature, users can manage editing and publishing permissions per locales in their admin panel.
API evolution: New API to let the users fetch content by locale.
SoundHound Inc., a provider of voice AI and conversational intelligence technologies, has announced the expansion of its Houndify Voice AI platform to 22 languages. Now, developers employing Houndify can add conversational intelligence to their products and services for users across the globe. The company also announced plans to add over 100 languages and variations as part of its commitment to provide the most comprehensive voice AI solution to brands and users everywhere. Companies seeking to create omnichannel voice experiences can now access the majority of the languages their customers speak, including Spanish, Portuguese, French, Indian-accented English, German, Dutch, Italian, Korean, Japanese, Mandarin, Russian, Polish, Swedish, Arabic, Turkish, Hebrew, and more.
Houndify’s voice recognition is the result of a combination of Speech-to-Meaning and Deep Meaning Understanding technologies. Advancements in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) enable the Houndify Voice AI platform to track speech in real-time, understanding the meaning even before the user has finished speaking and delivering the smartest voice experience possible. Developers interested in exploring the Houndify platform can visit Houndify.com to register for a free account or visit our blog.
Qumu Corporation, a provider of cloud-based enterprise video technology, announced the development and release of its live captioning capabilities. The new release of Qumu Cloud provides artificial intelligence (AI)-based translation of voice to on-screen captions for video viewers. Developed by Qumu’s cloud engineering team, it is available to all Qumu customers and included in the license subscription.
Qumu’s new live captioning is designed from the ground up to enable reliable, scalable hosting of virtual events of any size. The feature is currently available in two languages, English and Japanese, with the plan to quickly expand to additional languages. Qumu’s on-demand, or asynchronous, captioning remains available in over 25 languages. Qumu’s live captioning is immediately available as part of the Qumu offering, without the need to upgrade or add on services. To maintain top standards, Qumu is working closely with customers, including a national pharmacy and COVID-19 vaccine administer, to improve the accuracy, viewing and user experience with multiple upgrades planned throughout the year.
Google announced the availability of the latest releases of their Document (Doc) AI platform, Lending DocAI and Procurement DocAI. Most companies are still manually entering data and reliant on guesswork to make sense of it all as the volume and variety of data explodes. Organizations are also leaving heaps of value on the table in the form of new and better customer experiences that can be unlocked with artificial intelligence (AI) applied to documents. The DocAI platform, based on Google’s AI expertise, bring powerful and useful solutions to these challenges. Under the hood are Google’s technologies:
Computer vision (including OCR) and Natural Language Processing (NLP) that creates pre-trained models for high-value, high-volume documents.
Google Knowledge Graph to validate and enhance the fields in your documents.
Training and creation of your own custom document models.
Human interaction with AI to ensure accuracy where needed.
The new specialized parsers for Lending and Procurement DocAI can be used alongside our existing AutoML Text & Document Classification and AutoML Document Extraction services. Next up is the general availability of Human-in-the-Loop AI, a new DocAI feature that will help companies achieve higher document processing accuracy with the assurance of human review.
Sinequa, a provider of Intelligent Enterprise Search, announced the launch of Sinequa for Microsoft Azure to better serve customers who want to take advantage of Azure and its global reach. Organizations that use Azure can now access Sinequa’s enhanced version of a self-managed Intelligent Search platform.
Sinequa for Azure enables digital workers to stop sifting for information across Enterprise applications and brings the knowledge and insight to the users no matter the source, format, language, or location. Integrated with Microsoft 365 (Microsoft Teams, Microsoft SharePoint, etc.), Sinequa also seamlessly extracts valuable information from applications such as Salesforce, Box, Dropbox, OpenText, Documentum, file shares, databases, and other data sources, by leveraging a portfolio of over 200 out-of-the-box connectors.
Sinequa for Azure integrates Azure Cognitive Services to enable organizations to ingest all of their enterprise data sources, transform that data into searchable information, and enable users to get precise insights to natural language queries. Sinequa for Azure benefits include: reduced architecture costs, faster, indexing, more secure platform; easier, quicker deployment, optimized for Azure, environmentally friendly. Sinequa for Azure is now available in the Azure Marketplace.
Moz, Inc., provider of search engine optimization technology, announced the launch of a Performance Metrics suite, a new beta feature within the Site Crawl toolset in Moz Pro. The Performance Metrics suite saves Moz Pro customers time with the ability to analyze thousands of URLs of their choosing directly within their SEO platform. The new feature also provides insights on how to improve overall on-site user experience.
The launch comes ahead of Google’s planned algorithm changes. Beginning this summer, ranking factors will include a new signal called “Page Experience,” incorporating Core Web Vitals, in addition to basic search signals. Core Web Vitals are a subset of factors that Google considers important in a page’s overall user experience in relation to a site’s loading speed, interactivity and stability. The Performance Metrics beta pulls in all Core Web Vitals using Google’s Lighthouse API, as well as additional performance metrics that can improve the page experience for end users. Customers are able to:
Analyze thousands of pages in bulk per month
Compare mobile versus desktop performance scores
View performance data alongside additional search data
Understand opportunities for performance improvement
Receive insights from Moz’s Search Scientists on how to fix issues and why they matter
