Expert[.]ai and Reveal Group announced a partnership to help organizations extend the value in intelligent automation programs with natural language processing and understanding (NLP/NLU). Robotic process automation (RPA) makes organizations more profitable and responsive, streamlining enterprise workflows and enhancing employee engagement and productivity by removing mundane tasks from their workdays. By adding NLP/NLU to RPA, enterprises now have the ability to increase the flexibility and scalability of automation, expanding deployment to more complex use cases and business processes by making sense of unstructured language data. Unstructured data is critical for organizations to be able to understand, analyze and use it to enable a real intelligent automation across the entirety of an enterprise data assets.
The expert.ai hybrid AI platform complements the Reveal Group’s expertise in intelligent automation services. With expert.ai, NLP outputs, including intent, automatic categorization, emotional and behavioral traits identification, entity extraction and sentiment analysis, can be deployed and delivered by Reveal Group to automate multiple use cases, from common cross-industry use cases (email triage in customer services, data analysis, comparison and extraction in legal departments) to more industry-oriented processes (claims management in insurance companies, loan origination and customer onboarding in banking and financial services.).
https://www.expert.ai/ ■ https://revealgroup.com/
Year: 2023 (Page 16 of 23)
Databricks released Databricks Lakehouse for Manufacturing, a lakehouse platform tailored to manufacturers that unifies data and AI and delivers performance for analytics use cases. Databricks’ Lakehouse for Manufacturing breaks down data silos and is designed for manufacturers to access all of their data and make decisions in real-time.
The industry-specific lakehouse goes beyond traditional data warehouses by offering integrated AI capabilities and pre-built solutions such for predictive maintenance, digital twins, supply chain optimization, demand forecasting, real-time IoT analytics. A partner ecosystem and custom, partner-built Brickbuilder Solution offer customers choice in delivering real-time insights and impact across the value chain at a lower total cost of ownership (TCO).
With Databricks, organizations can unlock the value of their existing investments and achieve AI at scale by unifying all of their data, regardless of type, source, frequency or workload, on a single platform. The Lakehouse for Manufacturing has data governance and sharing built-in, and enables organizations to deliver real-time insights for agile manufacturing and logistics across their entire ecosystem.
Customers across the manufacturing industry also benefit from vetted data solutions from partners like Avanade, Celebal Technologies, DataSentics, Deloitte and Tredence, which combine of Databricks’ Lakehouse Platform with industry expertise.
https://www.databricks.com/solutions/industries/manufacturing-industry-solutions
Still Corporation, a provider of automated content conversion tools, announced the launch of its latest software product, Migrate 5.0. This new release promises to provide more robust and reliable content conversion capabilities for organizations looking to convert legacy content (such as HTML, Word, and FrameMaker) into structured XML. Migrate 5.0 builds on Stilo’s previous content conversion solutions by incorporating new features and capabilities, including DITA 2.0, that make the conversion process even more streamlined and efficient.
One of the key new features of Migrate 5.0 is the upgraded framework which significantly improves performance and stability. With this new upgrade, Migrate 5.0 becomes a more potent and adaptable tool, making it a useful solution for any organization seeking to optimize its data migration process. A free sample conversion is available on Stilo’s website.
Stilo develops tools to help organizations automate the conversion of content to XML and build XML content processing components integral to enterprise-level publishing solutions. Operating from Canada, Stilo supports commercial publishers, technology companies and government agencies around the world in their pursuit of structured content.
Algolia, a AI Search and Discovery platform, evolved its pricing and packaging to be more developer-friendly with the introduction of two new developer-oriented plans: a “Build” plan that is free and a “Grow” plan that offers easy scalability at affordable prices. The new Build plan increases the number of free records that a developer can store in Algolia from 10,000 to now 1 million records. Additionally, Algolia cut the cost of search requests in its Grow plan by 50% and records by 60%.
Algolia’s “Build” pricing plan provides developers with free access to the entire set of capabilities in its AI-powered Search and Discovery platform. The company’s “Grow” plan, for when a developer is ready to scale their application, enables developers with more developer-friendly usage-based pricing for live production settings.
A designer, creator, or builder, whether they are a casual or fully committed software engineer, can access all the tools, documentation, sample code, educational content, and cross-platform integration capabilities needed to get started with managing their data, building a search front-end, configuring analytics for free. They will have access to a developer community of more than 5 million builders. Algolia pricing and packaging reflecting this change is immediately available.
This week we feature content from OpenAI and Kurt Cagle.
Additional reading comes from Alex Hollender, Dean Allemang, and Tom Warren.
News comes from Adobe, Ontotext, Kobai, and Syncro Soft.
Note that news items now link to the original source of the news rather than our 200 word summaries, which are always available here.
The next issue will be published April 12. All previous issues are available at https://gilbane.com/gilbane-advisor-index/
Opinion / Analysis
ChatGPT plugins
Many, perhaps most, of the problems with large language models like GPT are due to data limitations (availability, age, quality). The ability to complement GPT data with external knowledge and data sources you own or trust, or are specific to your industry or business, increases model quality, context, and utility. LlamaIndex APIs can help you accomplish this. Now ChatGPT plugins take integration possibilities up a level. This post by the OpenAI team is the best place to get up-to-speed on the first batch of plugins, and what they’re planning. (12 min)
https://openai.com/blog/chatgpt-plugins
Nine ChatGPT tricks for knowledge graph workers
A helpful show-and-tell from Kurt Cagle…
“Where things get interesting is in the realm of coding and semantics… most of these samples made use of ChatGPT+ for experimentation and the DaVince OpenAI Playground for generating more complex output.” (22 min)
https://thecaglereport.com/2023/03/16/nine-chatgpt-tricks-for-knowledge-graph-workers/
More Reading
- Design notes on the 2023 Wikipedia redesign via UX Collective
- LLM’s closing the KG gap via Dean Allemang
- You can now try Microsoft Loop, a Notion competitor with futuristic Office documents via The Verge
Content technology news
Adobe announces multiple product updates
Adobe announcements focused on generative AI services, personalization, content management, product analytics, and content supply chain.
https://news.adobe.com/home/default.aspx
Ontotext releases Metadata Studio 3.2
Enables rapid text mining development based on an organization’s knowledge graph with non-technical contributors in the loop.
https://www.ontotext.com
Kobai launches Saturn Knowledge Graph
Kobai Saturn platform users to query data at Lakehouse scale and integrate every use case and function into a single semantic layer.
https://www.kobai.io/products/kobai-saturn
Syncro Soft releases Oxygen XML suite 25.1
Updates to Oxygen XML Editor, Author, Developer, Web Author, Publishing Engine, WebHelp, PDF Chemistry, and Scripting, and Oxygen Feedback.
https://www.sync.ro
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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Kobai, a codeless knowledge graph platform, announced the availability of Kobai Saturn, a knowledge graph to harness the scale, performance, and cost efficiency of the lakehouse architecture. Kobai Saturn extends the capabilities of the Kobai Platform, integrating every use case and function into a single semantic layer.
Business users need quick insights to make day-to-day decisions, which require connected data from data from across the enterprise. With Kobai Saturn, organizations can leverage the ease of knowledge graphs with the scalability of a data warehouse. New capabilities include:
- Direct integration: embedded in the data layer, organizations can query data without moving it from the lake or warehouse, following W3C and Lakehouse open standards for complete interoperability
- Improved performance: on-demand and burstable compute leveraging the underlying data layer for faster graph queries and ML training without virtualization
- Seamless collaboration: publish business question as SQL views to integrate with existing data science and business intelligence tools
Kobai’s codeless platform provides a business-first approach and a collaborative environment to rapidly share insights across the entire organization. The new Kobai Saturn knowledge graph works directly with Kobai’s Studio framework and Tower visualization products.
At Adobe Summit Adobe unveiled a wide range of product updates across Adobe Experience Cloud, a customer experience management solution, and Adobe Creative Cloud a platform for creating compelling content, to help brands drive experience-led growth.
Adobe debuted new Adobe Sensei GenAI services, including Adobe Firefly – a new family of creative generative AI models, as well as new generative AI innovations across Adobe Experience Cloud to power marketing workflows. The company also announced new Adobe Product Analytics and a reimagined content management solution enabling marketers to self-serve website and mobile app edits.
Adobe unveiled Adobe Express for Enterprise, allowing anyone within an organization to rapidly create and iterate content, regardless of their creative skill level. Adobe also announced a Content Supply Chain solution, made possible through Creative Cloud and Experience Cloud that connect popular tools for planning, creating, reviewing and distributing creative collateral so teams can collaborate more efficiently.
AI and generative AI services will be integrated natively in Adobe Experience Cloud as a co-pilot for marketers, improving productivity and efficiency while providing full creative control and trusted governance capabilities. Sensei GenAI will leverage multiple large language models (LLMs) including Microsoft Azure OpenAI and FLAN-T5 within Adobe Experience Platform, depending on business needs.
Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, released Ontotext Metadata Studio version 3.2. The metadata management and tagging control solution helps organizations to transform content into knowledge. Users can utilize the taxonomical instance data in their knowledge graph to achieve explainable and customizable out-of-the-box taxonomy-driven tagging.
Ontotext Metadata Studio 3.2 makes it easy for users to determine whether a use case could be automated or not across any third-party text mining service, simplifies orchestrating complex text analysis across third-party services, and evaluates their quality against internal benchmarks or against one another.
With version 3.2, Ontotext Metadata Studio enables non-technical end users to create, evaluate, and improve the quality of their text analytics service by tagging and linking against their own business domain model. With extensive explainability and control features, users who are not proficient in text analytics techniques can understand the causal relationships between the underlying dataset, the specific text analytics service configuration, and the final output.
This enhancement enables efficient user intervention, making the human truly in the loop and completely in control of the whole extraction process. Ontotext Metadata Studio is domain neutral and applicable for various domains and use cases.
