The Gilbane Advisor

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Category: Computing & data (Page 54 of 92)

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.

IOS Press relaunches LD Connect

April 13, 2021 /

IOS Press, an international publisher providing content and services for scientific, technical, and medical (STM) communities, announced the relaunch of the renewed LD Connect (Linked Data Connect) website. Providing publicly available linked machine-readable metadata from all IOS Press journals and books, LD Connect has been completely rebuilt and rebranded. Located at ld.iospress.nl, it features enhanced browse and semantic search capabilities, expanded data, and new tools. It also constructs artificial intelligence (AI)-powered embeddings derived from all full text data, further unsiloing research data and enriching contextual relationships.

By enriching and fostering the interlinking of data, contextual relationships among authors, institutions, and research areas can be visualized and interpreted and new relationships uncovered. LD Connect builds a knowledge graph using links between the data known as “triples” in the form of subject-predicate-object expressions. Constructed from metadata from all IOS Press content, the portal currently contains about 16 million triples that provide a complete ecosystem of IOS Press scholarly relationships. Affiliations are geocoded and authors as well as affiliations are disambiguated using a co-reference resolution script.

LD Connect lets users explore its knowledge graph by browsing or using expert level semantic search. In addition, the complete dataset, its subsets, and additional technical details can be explored and downloaded. The LD Connect team seeks collaboration with other datasets and parties and welcomes feedback and suggestions.

https://ld.iospress.nl ▪︎ https://www.iospress.nl

Informatica brings Intelligent Data Management to Google Cloud

April 13, 2021 /

Informatica announced the availability of Informatica’s Cloud Data Integration Elastic (CDI-E) on Google Cloud. This enables organizations to reach greater productivity and scale. The company also announced new enhancements to Cloud Mass Ingestion, and API Management on Google Cloud as it unveils the new Intelligent Data Management Cloud. New capabilities on Google Cloud:

  • Quickly build and deploy data integration pipelines with Informatica Cloud Data Integration-Elastic (CDI-E): Customers can now process very large data engineering workloads elastically via Informatica’s Intelligent Data Management Cloud on Google Cloud using Informatica’s codeless, visual, data ingestion and transformation user experience.
  • Simplify large-scale data ingestion from on-premises to Google Cloud with Informatica Cloud Mass Ingestion (CMI) Service: Informatica CMI provides a wizard to ingest and replicate large amounts of data into Google Cloud from on-premises sources such as Oracle, SQL/MySQL, Teradata, Netezza, and DB2 and others. CMI supports Google Pub/Sub Model as both a source and target while supporting schema drift and ingesting streaming and IoT data for real-time analytics.
  • Modernize your data, API, and application integration on Google Cloud with Informatica API Manager: Throughout the development, management, or deprecation of API’s, API Manager is designed to orchestrate complex hybrid multi-cloud systems automatically keeping track of changing capabilities and integrations with any external system.

https://www.informatica.com

Claravine introduces The Data Standards Cloud

April 13, 2021 /

Claravine announced The Data Standards Cloud, allowing data owners and data engineers to be able to deliver on enterprise data standards. No longer do teams need to rely solely on their data pipelines to be responsible for making sense of data. Too many teams rely on spreadsheets and ETL in an attempt to achieve data quality, which means there is no global data standard. Organizations can leverage Claravine to manage their data standards and create data integrity globally, providing consistent and quality information to optimize business outcomes.

After launching a partnership with Adobe and an integration into Adobe Experience Manager to control content data standards, Claravine now partners with the mobile measurement and deep linking platform, Branch, to bring data standardization to mobile and enable the enterprise to create, deliver and optimize mobile experiences. The Claravine and Branch integration helps mobile marketers and data teams align on the data requirements for cross-screen experiences and ensure all data is defined and connected so customer experiences work. The marketing tactics that once worked in mobile are changing with the Apple IDFA changes. As these transformations occur, Claravine’s Data Standards Cloud can provide a way for data strategies to move into the cloud for a dynamic view of data.

https://www.claravine.com/

Fractal offers AI software on AWS

April 13, 2021 /

Fractal announced general availability of Fractal’s artificial intelligence (AI) solutions: Cuddle.ai, Concordia, and Foresient – on Amazon Web Services (AWS). With this announcement, Fractal strengthens its Cloud AI strategy to allow businesses to accelerate digital transformation using AI and analytics on the cloud. AWS’ infrastructure provides access to compute, storage & services resources that will allow Fractal’s solutions to churn & process huge data sets faster, enabling rapid deployments with high availability.

  • Cuddle.ai – an augmented analytics platform that uses AI to reduce friction between business users and their data, helping accelerate the consumption of data and analytics.
  • Concordia – a scalable machine learning-based data unification and harmonization platform specially designed to handle large volume and complexity of data.
  • Foresient is Fractal’s AI empowered platform to forecast at high accuracy, scale and speed.

While running on AWS, clients will benefit from scalability, faster time to execution, strong technical support & high availability features. Additionally, AWS offers connectivity with high- performance cloud data warehouses like Amazon Redshift.

https://fractal.ai

Microsoft acquires Nuance

April 12, 2021 /

Microsoft Corp and Nuance Communications, Inc. announced they have entered into a definitive agreement under which Microsoft will acquire Nuance for an all-cash transaction valued at $19.7 billion, inclusive of Nuance’s net debt. Mark Benjamin will remain CEO of Nuance, reporting to Scott Guthrie, executive vice president of Cloud & AI at Microsoft. The transaction is intended to close this calendar year.

Nuance is a provider of conversational AI and cloud-based ambient clinical intelligence for healthcare providers. Nuance’s products include the Dragon Ambient eXperience, Dragon Medical One and PowerScribe One for radiology reporting, all clinical speech recognition SaaS offerings built on Microsoft Azure. Nuance’s solutions work with core healthcare systems, including longstanding relationships with Electronic Health Records (EHRs), to alleviate the burden of clinical documentation and help providers deliver better patient experiences.

Microsoft’s acquisition of Nuance builds upon an existing partnership announced in 2019. By augmenting the Microsoft Cloud for Healthcare with Nuance’s solutions Microsoft will be better able to empower healthcare providers through ambient clinical intelligence and other Microsoft cloud services. Beyond healthcare, Nuance provides AI expertise and customer engagement solutions across Interactive Voice Response (IVR), virtual assistants, and digital and biometric solutions to companies in all industries. This expertise will come together with Microsoft’s cloud, including Azure, Teams, and Dynamics 365, to deliver next-generation customer engagement and security solutions.

https://news.microsoft.com/2021/04/12/microsoft-accelerates-industry-cloud-strategy-for-healthcare-with-the-acquisition-of-nuance/ ▪︎ https://www.nuance.com/

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Elastic and Confluent to enhance Kafka and Elasticsearch experience

April 8, 2021 /

Elastic announced an expanded strategic partnership with Confluent, Inc. to deliver the best integrated product experience to the Apache Kafka and Elasticsearch community. Through this alliance, Elastic and Confluent will enhance existing product integrations and jointly develop new capabilities to help users easily combine the benefits of the Elastic Stack and Kafka. Elastic and Confluent plan further enhancements to the product experience for users by:

  • Strengthening the native integration between Elastic Cloud and Confluent Cloud
  • Enriching the Elasticsearch Service Sink Connector in Confluent
  • Developing packaged joint solutions for specific use cases
  • Introducing easier ways to output data from Kafka in an Elastic Common Schema

Elastic has long provided native support for Kafka to help centralized logging and monitoring customers monitor the health and performance of their Kafka pipelines in Elasticsearch. In addition, users have the choice of a jointly built and fully managed Elasticsearch Service Sink Connector in Confluent Cloud that eliminates the need for customers to take on the difficult task of managing their own Kafka clusters. This gives organizations the ability to seamlessly stream data moving through Kafka into Elasticsearch on all major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

https://www.confluent.io/blog/confluent-and-elastic-partner-to-deliver-real-time-analytics-monitoring-optimized-search/

MarkLogic adds AWS Glue Connector

April 7, 2021 /

MarkLogic Corporation announced the general availability of a custom connector for AWS Glue, a managed, serverless data integration service to create, run, and monitor data integration pipelines. The MarkLogic Connector for Glue further integrates MarkLogic with the AWS cloud ecosystem and makes it easy for developers to quickly run extract, transform, and load (ETL) jobs using familiar tools. The new connector is easily accessible in the AWS marketplace and can be used within Glue Studio, a visual interface that embraces a low code/no code approach to data integration.

The MarkLogic Connector for AWS Glue can be used for both the ingestion and consumption of data into and out of a MarkLogic Data Hub. Users can load data from and export data to various AWS services like Amazon S3, Amazon Redshift, and third-party data stores like Oracle and Snowflake. Data flows can be in bulk or streaming and the connector is designed for complex operational and analytical workloads.

https://www.marklogic.com/blog/marklogic-connector-for-aws-glue-now-available-on-aws-marketplace/

Cortical.io announced Message intelligence 2.1

April 7, 2021 /

Cortical.io announced Message intelligence 2.1, an intelligent document processing solution (IDP) that provides high accuracy in filtering, classification, and extraction of emails, attachments, and other types of unstructured documents. Leveraging Cortical.io’s method for natural language understanding (NLU), Message Intelligence 2.1 enables higher productivity, fewer false positives, and less manual intervention. It also requires far less material to train custom classifiers and extraction models, speeding up time to production/value. This is valuable around situations where there is a lack of training material.

The product allows a user to easily create pipelines to intelligently process documents. A key capability of Message Intelligence 2.1 is that it allows a subject matter expert to easily create pipelines with components including inputs, filters, classifiers, extractions, and actions. The product comes with tools for building classifiers and extraction models, so that subject matter experts do not need the intervention of AI experts or data scientists to adapt the system to the specific classification and extraction needs of their organization. Cortical.io’s Message Intelligence solution is especially useful in situations where large quantities of messages and documents come in daily through emails, website submissions or social media. Pricing based on volume of emails and/or documents processed.

https://www.cortical.io

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