Category: Computing & data (Page 63 of 101)

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.

Claravine introduces The Data Standards Cloud

April 13, 2021 / NewsShark

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 / NewsShark

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 / NewsShark

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 / NewsShark

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 / NewsShark

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 / NewsShark

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

Trifacta expands data connectivity to 180+ sources

April 6, 2021 / NewsShark

Trifacta announced it is expanding its platform’s data integration capabilities by providing universal data connectivity to more than 180 data sources. These pre-built connectors make it faster and easier for more users in organizations of any size to connect to more data. To build curated, accessible data products for advanced data insights and analytics, data engineers and analysts need flexible, seamless access to data, regardless of its source. The Trifacta platform already offers connectivity to a wide range of data sources. Universal connectivity expands the range of use cases possible with the Trifacta platform, including but not limited to:

Collaboration and Support: SmartSheet, Airtable, Confluence, Microsoft Sharepoint, and JIRA.
Resource Planning and Visibility: SAP ERP, SAP HANA, and Microsoft Dynamics.
Finance and Accounting: Workday, Netsuite, Xero, ADP, Quickbooks, and Sage.
Marketing, Sales, e-Commerce: Salesforce, Google Analytics, Facebook Ads, Twitter Ads, LinkedIn Ads, Amazon Marketplace, and Shopify.
Cloud Data Warehouses and Databases: BigQuery, Snowflake, Redshift, Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, Teradata, and Hive.
Files & File Systems: S3, GCS, ADLS, HDFS, SFTP, JSON, XML, Excel, and Google Sheets. Trifacta is also enhancing support for semi-structured data, like JSON and XML.
Cloud Data Exchanges: AWS Data Exchange, Snowflake Data Marketplace, and Google Public Datasets.

https://www.trifacta.com/integrations/

DataStax eases migrations from Apache Cassandra to DataStax Astra

March 31, 2021 / NewsShark

DataStax announced the general availability of a new Zero-Downtime Cloud Migration tool that enables organizations to seamlessly migrate live data from self-managed Apache Cassandra instances to the company’s fully managed serverless Cassandra offering, DataStax Astra with no downtime. The Apache Cassandra open source database is often used for workloads that need to deliver massive amounts of data to users around the world with high reliability. As such, many Cassandra production applications are business critical, always on, and downtime is not an option. With DataStax’s new migration tool, enterprises can easily migrate live production Cassandra or DataStax Enterprise workloads to the DataStax Astra database-as-a-service (DBaaS) to quickly take advantage of the cost savings and other benefits of fully-managed, serverless Cassandra. The DataStax Zero-Downtime Migration tool is available for zero cost, and it comes with every DataStax Astra subscription. For more information on the fastest way to get up and running on Astra without any downtime, see

https://www.datastax.com/blog/four-steps-migrate-live-data-apache-cassandra-astra-zero-downtime