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Author: NewsShark (Page 97 of 740)

Melax Technologies launches LANN for text annotation

Melax Technologies announced the release of LANN, a text annotation, natural language processing (NLP) product for AI-assisted, team-based projects. Based on NLP and artificial intelligence (AI) technology, Melax Tech’s text annotation capabilities combine automated machine learning workflows with client input to create high-quality annotated datasets. LANN is deployed in multiple use cases in the medical field, including phenotyping algorithms, clinical chart review, and drug repurposing. LANN was developed to assist users to comb through professional journals and literature to develop a myriad of projects, within the life sciences and across commercial and academic disciplines.

LANN’s functionality supports client projects by providing a rich array of team-based communication and sophisticated quality control tools. This allows teams to review results and make adjustments that result in superior annotation outcome. The resulting datasets provide high performance including use in downstream artificial intelligence or machine-learning applications. Standard and enterprise versions allow commercial and large-scale entities to build large-team projects, programs and custom solutions. With flexible pricing options, Melax Tech provides clients with the advantage to grow research projects over time affordably. Melax Technologies also announced that LANN is available at no cost for educational projects.

https://melaxtech.com/

Tech and media partner on standard content provenance

A group of technology and media companies has partnered to form the Coalition for Content Provenance and Authenticity (C2PA), a Joint Development Foundation project established to address the prevalence of disinformation, misinformation and online content fraud through developing technical standards for certifying the source and history or provenance of media content. Founding members Adobe, Arm, BBC, Intel, Microsoft and Truepic seek to establish a standardized provenance solution with the goal of combating misleading content.

C2PA member organizations will work together to develop content provenance specifications for common asset types and formats to enable publishers, creators and consumers to trace the origin and evolution of a piece of media, including images, videos, audio and documents. The formation of the C2PA brings together founding members of the Adobe-led Content Authenticity Initiative (CAI) and the Microsoft- and BBC-led Project Origin, unifying technical specifications under a single entity. The CAI is building a system to provide provenance and history for digital media, giving creators a tool to claim authorship and empowering consumers to evaluate whether what they are seeing is trustworthy.

https://c2pa.org

Alation releases update to data intelligence platform

Alation Inc., provider of enterprise data intelligence solutions, announced the release of Alation 2021.1. The newest release extends connector and query coverage to virtually any data source, expedites relevant search & discovery through data domains, and features new data governance capabilities.

Alation 2021.1 includes connectors to a comprehensive range of applications and data sources, beyond Business Intelligence (BI) and filesystems, to applications such as ServiceNow and Salesforce. The platform’s new, federated authentication enables users to query cloud services such as Amazon Web Services (AWS) and Snowflake using single sign-on. By snapping into a variety of applications and data sources, Alation serves as a single place to find, understand, and trust data across an organization. Alation 2021.1 also includes:

  • Accelerated time to insight. A new Open Connect Framework software development kit (SDK) enables third parties, including customers and partners, to build connectors to niche RDBMS and BI data sources such as NoSQL and application sources.
  • Increased search relevancy by allowing users to narrow their searches based on how data is grouped logically by the organization, such as business unit or geography.
  • New data governance capabilities. New impact analysis reports provide an immediate view into the downstream impact of data changes.

https://www.alation.com/press-releases/data-intelligence-platform-with-broadest-deepest-connectivity/

WP Engine available in AWS Marketplace

WP Engine, a WordPress technology company, announced availability in AWS Marketplace. WP Engine is committed to being a catalyst for digital experiences on WordPress by combining proprietary technology with a modern tech stack. By leveraging AWS, WP Engine enables brands to quickly build and launch fast, secure digital experiences with insights to maximize consumer engagement.

WP Engine’s collaboration with AWS began in 2015 and spans from the core platform infrastructure to WordPress ecosystem products like Amazon Polly integration, AWS Digital Customer Experience Competency status, and now availability in AWS Marketplace. WP Engine offers a range of enterprise-grade, high-resiliency, high-availability solutions on WordPress-optimized AWS architecture. With AWS’s global regions and multi-zone redundancy across all traffic-serving layers, customers benefit from the best uptime protection and risk mitigation with the elimination of single points of failure on the WP Engine WordPress digital experience platform.

https://aws.amazon.com/marketplace/pp/B08TG3QJPC

Patra and expert.ai partner on natural language understanding for insurance

Patra, a provider of technology-enabled services for the insurance industry, and expert.ai, an artificial intelligence solution for natural language understanding and natural language processing (NLU/NLP), announced a partnership that brings efficiencies to a variety of insurance processes. This partnership delivers AI-powered policy checking to the insurance market. By combing expert.ai’s technology and expertise along with the market power of the InsurConneXtions Alliance members, additional complex solutions are currently being developed for the industry.

expert.ai enables global organizations to leverage its AI-based natural language (NL) platform to automate the reading, understanding, and extraction of meaningful data from structured and unstructured text to augment and expand insights for every process that involves language. By integrating expert.ai’s AI capabilities, Patra will improve quality, reduce friction, and drive out inefficiencies in the process of manually reviewing and cross-validating dozens to hundreds of pages of text for any given policy. These capabilities will facilitate a deeper understanding of data, enabling previously out-of-reach insights due to the vast and complex nature of language semantics. With close to 80% of the information within the insurance industry being unstructured data, intelligent automation based on human-like understanding is a critical factor for increasing capacity, and reducing inefficiencies and high-risk vulnerabilities.

https://www.patracorp.com, https://www.expert.ai

NewsShark Page 97

 

Franz announces Allegro NFS Server 7.0 for Windows

Franz Inc., supplier of graph database technology for knowledge graph solutions, announced Allegro NFS Server 7.0 for Windows with 64-bit performance and support for all current versions of the Windows operating system. Allegro NFS Server 7.0 delivers a high performance, easy-to-install solution for small and large enterprise-wide deployments. Allegro NFS was originally developed for Franz’s internal purposes due to dissatisfaction with free and commercial NFS Servers available on the market and the incredible technical difficulties faced in configuring them on Windows. Since 2002, Allegro NFS has been adopted by many Fortune 500 companies who want reliable and easy-to-configure access to Windows from NFS clients.

Allegro NFS Server 7.0, runs on all the current versions of the Windows operating system including Vista, Server 2003, Server 2008, Server 2012, Windows 7 (32 and 64-bit), Windows 8 (32 and 64-bit), and Windows 10 (32 and 64-bit). Allegro NFS also has version that to run on Windows XP. To evaluate or purchase Allegro NFS Server 7.0, go to

https://nfsforwindows.com, https://www.franz.com/

Apache announces Apache Gobblin as a Top-Level Project

The Apache Software Foundation (ASF) announced Apache Gobblin as a Top-Level Project (TLP). Apache Gobblin is a distributed Big Data integration framework used in both streaming and batch data ecosystems. The project originated at LinkedIn in 2014, was open-sourced in 2015, and entered the Apache Incubator in February 2017. Apache Gobblin is used to integrate hundreds of terabytes and thousands of datasets per day by simplifying the ingestion, replication, organization, and lifecycle management processes across numerous execution environments, data velocities, scale, connectors, and more.

As a scalable data management solution for structured and byte-oriented data in heterogeneous data ecosystems, Apache Gobblin makes the task of creating and maintaining a modern data lake easy. It supports the three main capabilities required by every data team:

  • Ingestion and export of data from a variety of sources and sinks into and out of the data lake while supporting simple transformations.
  • Data Organization within the lake (e.g. compaction, partitioning, deduplication).
  • Lifecycle and Compliance Management of data within the lake (e.g. data retention, fine-grain data deletions) driven by metadata.

Apache Gobblin software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project’s day-to-day operations, including community development and product releases.

https://gobblin.apache.org/

DataRobot announces Feature Discovery integration with Snowflake

DataRobot announced the latest integration with Snowflake. Building off of DataRobot’s expanded partnership and existing integration with Snowflake, the new Feature Discovery pushdown integration improves the speed and accuracy of developing models, unlocking new use cases. DataRobot’s Feature Discovery, which has been a part of the DataRobot enterprise AI platform since 2019, automatically discovers, tests, and creates hundreds of valuable new features for machine learning models. This improves models’ accuracy, increasing an organization’s ability to make accurate predictions.

The new Feature Discovery integration with Snowflake delivers this capability to Snowflake users, pushing down data preparation operations into Snowflake to minimize data movement resulting in faster performance and lower operating costs. This allows users to obtain more accurate DataRobot models by accessing more data from Snowflake and leveraging the power of Snowflake’s Data Cloud. With Feature Discovery, the joining, aggregating, and creation of derived features from datasets is done automatically using data science best practices. This lets users build better machine learning models in less time and drive more innovation with AI.

https://www.datarobot.com/news/press/datarobot-announces-feature-discovery-integration-with-snowflake/

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