Serviceaide announced Luma 2.5. Luma Knowledge is integral to Luma Virtual Agent 2.5. Luma 2.5 leverages knowledge and information by unifying Serviceaide’s AI-powered virtual agent with an enterprise knowledge repository, the Luma Enterprise Knowledge Hub. The combination accelerates and elevates the self-service experience.
The Luma Virtual Agent leverages natural language processing and machine learning to create a conversational interface via voice, email, chat and other channels that understands and proactively guides users to the answers they seek or fulfills their requests through automated services. Luma’s automation and workflow engine can automate a wide range of IT and Enterprise Service Management tasks as diverse as provisioning a virtual machine, onboarding new employees, and handling facilities requests and HR changes. Among the knowledge-centered capabilities of the Luma Virtual Agent 2.5:
Serves up knowledge by forging an understanding between the data and the end requester.
Differentiates between user needs by disambiguating requests for service and knowledge and delivering the information or services that best fits the request. This can be done by exploring knowledge articles or reviewing actionable skills.
Closes the loop by leveraging machine learning to continuously improve knowledge delivery by providing feedback from its usefulness back into the knowledge base
Provides better answers by offering contextual suggestions for new content and more effective/timely responses.
Builds Knowledge by gathering existing knowledge, highlighting gaps, and spotlighting where knowledge needs to be created or improved.
Microsoft announced SharePoint Syntex, the first product from Project Cortex. SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content processing, and transform content into knowledge, and will be available to purchase for all Microsoft 365 commercial customers on October 1, 2020.
Machine teaching accelerates the creation of AI models by acquiring knowledge from people rather than from large datasets alone. Any information processing skill, that an expert can teach a human, should be easily teachable to a machine. SharePoint Syntex mainstreams machine teaching, enabling your experts to capture their knowledge about content in AI models they can build with no code. Your experts train SharePoint Syntex to understand content like they do, to recognize key information, and to tag content automatically. For example, a contract processing expert can teach SharePoint Syntex to extract the contract’s value, along with the expiration date and key terms and conditions.
SharePoint Syntex then uses your models to automate the capture, ingestion, and categorization of content, extracting valuable information as metadata. Metadata is critical to managing content, and seamless integration with Microsoft Search, Power Automate, and Microsoft Information Protection enable you to improve knowledge discovery and reuse, accelerate processes, and dynamically apply information protection and compliance policies.
SharePoint Syntex content center Syntex introduces a new experience for managing content at scale, integrating metadata and workflow, and delivering compliance automation – the content center. Content centers supply capabilities to teach the cloud how to read and process documents the same way you would manually. SharePoint Syntex uses those insights to automatically recognize content, extract important information, and apply metadata tags. SharePoint Syntex uses advanced AI to automate the capture, ingestion, and categorization of content, to accelerate processes, improve compliance, and facilitate knowledge discovery and reuse. SharePoint Syntex mainstreams AI to process three major types of content: digital images, structured or semi-structured forms, and unstructured documents.
Digital image processing SharePoint Syntex can automatically tag images using a new visual dictionary with thousands of commonly recognized objects. In addition, SharePoint Syntex can recognize convert extracted handwritten text into tags for search and further processing.
Document understanding Most organizations generate vast amounts of unstructured documents such as manuals, contracts, or resumes. You can teach SharePoint Syntex to read your content the way you would using machine teaching to build AI models with no code. SharePoint Syntex can automatically suggest or create metadata, invoke custom Power Automate workflows, and attach compliance labels to enforce retention or record management policies. Document understanding models are based on Language Understanding models in Azure Cognitive Services.
Form processing SharePoint Syntex includes a powerful form processing engine, based on AI Builder, that lets you automatically recognize and extract common values from semi structured or structured documents, such as dates, figures, names, or addresses. These models are built with no code and only require a small number of documents for reliable results.
An edited version of the announcement from the Microsoft Blog:
Microsoft is teaming up with OpenAI to exclusively license GPT-3 – an autoregressive language model that outputs human-like text. GPT-3 is the largest and most advanced language model in the world, clocking in at 175 billion parameters, and is trained on Azure’s AI supercomputer. This allows us to leverage its technical innovations to develop and deliver advanced AI solutions for our customers, as well as create new solutions that harness the power of advanced natural language generation.
We see this as an opportunity to expand our Azure-powered AI platform in a way that democratizes AI technology, enables new products, services and experiences, and increases the positive impact of AI at Scale. We want to make sure that this AI platform is available to everyone – researchers, entrepreneurs, hobbyists, businesses – to empower their ambitions to create something new and interesting. The scope of commercial and creative potential that can be unlocked through the GPT-3 model is profound, with genuinely novel capabilities – most of which we haven’t even imagined yet. Directly aiding human creativity and ingenuity in areas like writing and composition, describing and summarizing large blocks of long-form data (including code), converting natural language to another language.
Realizing these benefits at true scale – responsibly, affordably and equitably – is going to require more human input and effort than any one large technology company can bring to bear. OpenAI will continue to offer GPT-3 and other powerful models via its own Azure-hosted API, launched in June. While we’ll be hard at work utilizing the capabilities of GPT-3 in our own products, services and experiences to benefit our customers, we’ll also continue to work with OpenAI to keep looking forward: leveraging and democratizing the power of their cutting-edge AI research as they continue on their mission to build safe artificial general intelligence.
HubSpot introduced new features and updates to help businesses meet the challenges brought on by the COVID-19 crisis and seize new opportunities in the post-pandemic world. The additions include an enterprise sales CRM, a scalable contacts pricing model, expanded personalization functionality, and more — giving companies greater ability to unify their marketing, sales, and service efforts and build a delightful customer experience. Today’s announcements include:
Sales Hub Enterprise — an enterprise sales CRM with custom objects, advanced permissions, and sophisticated reporting, as well as enhanced sales acceleration tools and configure-price-quote functionality.
Scalable pricing — a new pricing model that enables companies to only pay for the contacts they actively market to.
Upgrades to Marketing Hub, including advanced personalization tools, a new report builder, and custom objects.
Service Hub enhancements, such as logged-in visitor identification, help desk automation, and team management functionality, in addition to a multi-language knowledge base.
Improvements to the HubSpot ecosystem, including a redesigned Solutions Directory and new remote work integrations in the App Marketplace.
To learn more about the product announcements HubSpot made at INBOUND, please visit:
ThoughtSpot announced the release of ThoughtSpot Cloud, a fully-managed SaaS offering providing business users with the flexibility to glean instant insights from data in the cloud with search & AI-driven analytics. With ThoughtSpot Cloud, employees can access data across all of their cloud data in a matter of minutes, helping these organizations maximize their investments in cloud data warehouses like Amazon Redshift and Snowflake. Additional features include:
Personalized onboarding: Specific onboarding flows by role tailor the experience for users, accelerating their time to value.
Search assist: Digital assistant that provides a step by step guide for first time users to aid in their initial search.
Prebuilt SpotApps: Reusable low-code templates to make getting insights from a particular application, like Salesforce, simple and scalable.
In-database benefits: Run queries directly in both high-performance, zero-management, built-for-the-cloud data warehouses like Amazon Redshift and Snowflake.
Pricing: Pay only for the data consumed and analyzed, not for the number of users.
MathWorks introduced Release 2020b of the MATLAB and Simulink product families. New capabilities in MATLAB simplify working with graphics and apps, and Simulink updates focus on expanded access and speed, including the launch of Simulink Online for access through web browsers. R2020b also introduces new products that build on artificial intelligence (AI) capabilities, speed up autonomous systems development, and accelerate creation of 3D scenes for automated driving simulation. More details are available in the Release 2020b video.
Among the hundreds of new and updated features, MATLAB adds new bubble and swarm charts, the ability to diff and merge App Designer apps with the MATLAB Comparison Tool, and customizable figure icons and components to MATLAB apps. Also, in addition to Simulink Online to view, edit, and simulate Simulink models through web browsers, R2020b adds the ability to generate code up to 2X faster for referenced model hierarchies in Simulink and includes new automerge functionality that helps automate continuous integration workflows.
Legality Software, a subsidiary of Matters in Motion, announced the launch of One Step Workspace which simplifies NetDocuments workspace creation and management for both non-administrator legal professionals and NetDocuments administrators. Also, Legality is now officially a NetDocuments ISV (Independent Software Vendor) partner and One Step Workspace is listed on the NetDocuments App Directory, furthering the collaboration between the two companies. NetDocuments workspaces are tools for legal professionals at both law firms and corporate legal departments, helping them to efficiently organize and collaborate on documents. Delivering an easy-to-use online interface, One Step Workspace (OSW) allows any user to create a new workspace in seconds, even non-administrators like attorneys and legal staff. OSW simplifies the workspace creation process for NetDocuments administrators by integrating with NetDocuments to accelerate workspace generation and automate complex workspace setup. OSW identifies and assigns numeric key values, automatically selecting the next incremental number in sequence so the user doesn’t have to identify it manually.
Enterprise SaaS solutions provider Wedia launched the Wedia Content Picker, a universal connector for its Digital Asset Management (DAM) solution. Customers can now access media from their DAM directly from within modern workplace solutions. In our omnichannel environment, brands need to constantly create, update and personalize content for their prospects and customers. A DAM solution helps them find and share marketing and brand assets with the various stakeholders involved in the creation of this content. The Wedia Content Picker connects customers’ DAMs with their app ecosystem to accelerate productivity and drive more value from their digital assets. The connector integrates the Wedia DAM with everyday marketing tools: Microsoft Office suite, Adobe Creative Suite, CMS and Social Media Management Systems etc. Collaborators within an organization can now quickly access approved assets regardless of the application they are working in.
