Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 1 of 36)

Topics include computing platforms, analytics, data modeling and databases, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing, and machine translation.

Microsoft announces SharePoint Syntex

From the Microsoft Project Cortex blog:

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.

https://techcommunity.microsoft.com/t5/project-cortex-blog/announcing-sharepoint-syntex/ba-p/1681139

Microsoft teams up with OpenAI to exclusively license GPT-3 language model

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.

https://blogs.microsoft.com/blog/2020/09/22/microsoft-teams-up-with-openai-to-exclusively-license-gpt-3-language-model/

ThoughtSpot launches ThoughtSpot Cloud for access to cloud data warehouses

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.

https://www.thoughtspot.com/cloud

MathWorks introduces Release 2020b of MATLAB and Simulink

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.

https://www.mathworks.com/products/new_products/latest_features.html

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