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Category: Computing & data (Page 2 of 58)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

AvePoint partners with Microsoft to launch Microsoft Syntex

AvePoint announced it is one of the featured partners for the launch of Microsoft Syntex, which uses advancements in cloud computing and artificial intelligence to transform how content is created, processed and discovered in Microsoft 365. Microsoft Syntex is adding new capabilities to use advanced AI and machine teaching to amplify human expertise, automate content processing and transform content into knowledge.

  • Backup and Restore: Microsoft Syntex now offers the ability to backup and restore SharePoint Online, Exchange Online, and OneDrive. When combined with AvePoint’s data protection solutions for Microsoft 365, organizations can have a backup solution that enables them to own their service level agreements, protect data, and maintain flexibility in where data is stored.
  • Information Management: Enables organizations to archive entire site collections within the Microsoft 365 ecosystem, allowing organizations to index the content for eDiscovery and compliance. When combined with AvePoint’s information lifecycle management solution across Microsoft 365, this enhancement provides organizations with control of their records from creation and classification to retention and disposal in a single platform.
  • Content Management: Microsoft Syntex gives IT administrators visibility into sharing links and sensitive files in SharePoint sites, with the ability to then initiate reviews by those responsible.

MongoDB announces pay-as-you-go offering on Azure

MongoDB, Inc. announced that it will make it easier for developers to build data rich applications with a pay as you go experience of MongoDB Atlas within the Azure Marketplace & Portal. By engaging MongoDB Atlas through the Azure Marketplace, developers can access a free trial along with streamlined billing and procurement using their Azure accounts to pay for their Atlas usage.

MongoDB is among the initial set of partners participating in the launch of Microsoft Intelligent Data Platform Partner Ecosystem, which was announced at Ignite 2022. This integration provides developers with the ability to work with the platform of their choice to build on while also meeting the stringent requirements of Corp IT without impacting the speed of innovation. Microsoft customers leveraging MongoDB Atlas can take advantage of:

  • Ecosystem integrations including Synapse, Power BI, Purview, PowerApps, and PowerAutomate to add MongoDB Atlas to existing AI / ML / IoT / and Analytic architectures.
  • Security features such as always-on authentication, network isolation, end-to-end encryption, and role-based access controls to protect data.
  • Build full-text search, run real-time analytics, share visualizations, and sync to the edge with integrated and native Atlas data services that require no manual data replication or additional infrastructure.

Apollo GraphQL introduces GraphOS

Apollo GraphQL introduced Apollo GraphOS, a platform to build, connect, and scale any supergraph, a runtime that connects backend and frontend systems in a modular way. GraphOS is the execution fabric for the supergraph. It offers self-hosted or cloud-hosted routing, so users can choose to operate the supergraph in the cloud, and build without complex infrastructure setup or configuration. Features include:

  • Cloud-hosted or self-hosted routing for supergraphs with Federation built in. Connect everything in one graph with a supergraph runtime where you need it.
  • Advanced GraphQL capabilities. New and upcoming features like @defer, live queries, and edge caching give devs the power and flexibility to build a new generation of apps.
  • A central source of truth for schemas and delivery pipeline for changes. Keep all of your developers up to date with the most recent schema changes, and verify changes against past client operations before they hit production.
  • Control who can access your supergraph, as well as when and why they can do it. SOC 2 Type II compliant. Tested and audited by Doyensec.

GraphOS will soon include the ability to link supergraphs beyond organizational firewalls connecting third-party APIs like partners, payment services, content management systems, or public APIs.

Confluent launches Stream Governance Advanced

Confluent, Inc., a data streaming provider, announced a new capabilities for Stream Governance, a managed governance suite for Apache Kafka and data in motion. With Stream Governance Advanced, organizations can resolve issues within complex pipelines easier with point-in-time lineage, discover and understand topics faster with business metadata, and enforce quality controls globally with Schema Registry. With more teams able to safely and confidently access data streams, organizations can build critical applications faster. New capabilities include:

  • Point-in-time playbacks for Stream Lineage: Troubleshooting complex data streams is now faster with the ability to understand where, when, and how data streams have changed over time. Point-in-time lineage provides a look back into a data stream’s history.
  • Business metadata for Stream Catalog: Improve data discovery with the ability to build more contextual, detail-rich catalogs of data streams. Alongside tagging, business metadata gives individual users the ability to add custom, open-form details represented as key-value pairs to entities they create such as topics.
  • Exploring the catalog is now easier with GraphQL API.
  • Globally available Schema Registry for Stream Quality: With global availability of Schema Registry to 28 regions, teams have flexibility to manage schemas alongside their Kafka clusters to maintain compliance requirements and data sovereignty.

AtScale adds enterprise AI capabilities to semantic layer platform 

AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced new product capabilities for organizations working to accelerate the deployment of enterprise artificial intelligence (AI). These new capabilities leverage AtScale’s position within the data stack with cloud data warehouse and lakehouse platforms including Google BigQuery, Microsoft Azure Synapse, Amazon Redshift, Snowflake, and Databricks. The AtScale Enterprise semantic layer platform now incorporates:

  • Semantic Predictions – Predictions generated by deployed AI/ML models can be written back to cloud data platforms through AtScale. These model-generated predictive statistics inherit semantic model intelligence, including dimensional consistency and discoverability. Predictions are immediately available for exploration by business users using BI tools (AtScale supports connectivity to Looker, PowerBI, Tableau, and Excel) and can be incorporated into augmented analytics resources.
  • Managed Features – AtScale creates a hub of centrally governed metrics and dimensional hierarchies that can be used to create a set of managed features for AI/ML models. AtScale managed features inherit semantic context, making them more discoverable and easier to work with. Managed features can now be served directly from AtScale, or through a feature store like FEAST, to train models in AutoML or other AI platforms.

Veryfi offers free platform to transform documents into structured data

Veryfi launched a Free tier for its optical character recognition (OCR) application programming interface (API) platform. Companies looking to turn unstructured documents into structured data can quickly add AI-driven OCR capabilities to their apps without typical startup costs.

Developers can use their free account forever without fear of losing their work, without feature limitations, and without requiring a credit card. The only limit is the number of documents that developers can submit to the OCR API platform of 100 for the initial 14 days and then 50 per month. When ready, it’s easy to transition to a Starter account plan via self-service.

Veryfi enables organizations to capture, extract and transform documents such as receipts, invoices, purchase orders, checks, credit cards, and W-9 forms into structured data. Veryfi uses AI/ML technology, trained by hundreds of millions of documents over the past five years, to extract data and transform it into a structured format for 85 currencies, 39 languages, and over 110 defined fields such as vendor, total, bill to/ship to, purchase order and invoice numbers, any line item (product name, SKU, description), and taxes, which can then be accessed for other business applications.

Apptek and announce strategic partnership

AppTek and announced they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The partnership leverages AppTek’s Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with’s natural language understanding capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation.

As organizations increasingly utilize language data—emails, documents, reports and other free form text— for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The combined capabilities of AppTek and supercharge enterprise and government NLU and NLP applications, expanding the data types and sources available for analysis to provide even more informational output.

Using AppTek’s speech-to-text technology within the Platform, organizations can automatically transcribe audio types from different sources, including high-quality media broadcast content, podcasts, meetings, one-to-one interviews or even low bandwidth telephone conversations. In addition, they can leverage advanced multilingual functionalities to generate accurate, customizable and scalable translations across hundreds of language pairs.

Stardog joins Databricks Partner Connect

Stardog, an Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — an end-to-end user experience without the burden of moving or copying data. Together, Stardog’s availability on Databricks Partner Connect enables joint customers to:

  • Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases.
  • Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights.
  • Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills.


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