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Category: Computing & data (Page 41 of 91)

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.

Element announces Connector Portal, Unify Graph, and Advanced Joins

April 19, 2022 /

Element, a software provider in IT/OT data management for industrial companies, announced new functionality for simplified connections, knowledge graph-based modeling, and advanced joins. Together they increase flexibility and speed up model development for organizations seeking to deploy digital twins or pursue industrial transformation.

The Connector Portal provides access to pre-built connectors for a range of commonly-used data sources and consuming targets, speeding analytics projects by reducing manually establishing connections. The portal also provides a connector framework that developers can use to build their own custom connectors.

Unify Graph brings a knowledge graph approach to bear for mapping the complex data environments typical at most enterprises that data teams must operate across. It allows flexible data modeling spanning arbitrary dimensions such as processes, assets, organizations necessary for building effective digital twins. The graphs can be queried and explored within Unify or exported for consumption by graph database products such as AWS Neptune or Neo4j.

The Advanced Joins functionality enables users to combine data from various sources based on matching multiple relevant data fields and using matching approaches. The fuzzy matching approach is configurable and allows the user to specify a similarity threshold for deciding matches.

https://www.elementanalytics.com

dbt Labs announces availability on Databricks Partner Connect

April 14, 2022 /

Analytics engineering tool supplier dbt Labs announced the availability of dbt Cloud on Databricks Partner Connect. Databricks customers now have a fast and frictionless way to experience the benefits of dbt Cloud on the lakehouse. dbt has become popular for data transformation with demand largely driven by the industry-wide shift to cloud-based data platforms like Databricks. It enables data teams to transform data in-warehouse, and deploy analytics code following software engineering best practices.

Through Databricks Partner Connect, all Databricks users will now have the ability to quickly provision a new dbt Cloud trial that is pre-connected to their Databricks account. In just a few clicks, users will be set up with a dbt Cloud account – ideal for those looking to quickly get a feel for what the two can achieve together through a streamlined, pre-configured workflow. Also:

  • Databricks has developed a new, dedicated dbt-Databricks adapter, bringing an easier installation process and a more optimized performance.
  • Databricks Ventures participated as a strategic investor in dbt Labs’ Series D funding round in February 2022.
  • There are more than 1,000 members of the Databricks and Spark channel within the dbt Community Slack

https://www.getdbt.com ■ https://databricks.com/partnerconnect

MongoDB announces pay-as-you-go on Google Cloud

April 12, 2022 /

MongoDB, Inc., a general purpose database platform, announced the launch of a pay-as-you-go MongoDB Atlas offering, which can be launched directly from the Google Console. The offering provides developers with a simplified subscription experience, and enterprises more choice in how they procure MongoDB on Google Cloud. Customers only pay for the resources they use and can scale based on their needs, with no up-front commitments while using their Google accounts. This offering will also make it easier for customers to build, scale, and manage data-rich applications with MongoDB Atlas within the Google Cloud Console.

MongoDB enables developers to integrate Atlas with Google Cloud products including BigQuery, Apigee, Tensorflow, Cloud Run, App Engine, EventArc, Cloud Functions, DataStream, Google Kubernetes Engine (GKE), Dataproc, Dataflow, and Pub/Sub. In addition to these offerings, MongoDB and Google Cloud have expanded their joint reach across 28 global regions, including the recent availability in Toronto and Santiago. Previously applicable only to migrations from RDBMS to cloud-based RDBMS, migVisor is now available for MongoDB On-Premises to MongoDB Atlas migrations.

https://investors.mongodb.com/news-and-events/news-releases/news-details/2022/MongoDB-Announces-a-Pay-As-You-Go-Offering-on-Google-Cloud/default.aspx

Google announces BigLake, to unify data lakes and data warehouses across clouds

April 6, 2022 /

From the Google Cloud blog…

The volume of valuable data that organizations have to manage and analyze is growing at an incredible rate. This data is increasingly distributed across many locations, including  data warehouses, data lakes, and NoSQL stores.

Today, we’re excited to announce BigLake, a storage engine that allows you to unify data warehouses and lakes. BigLake gives teams the power to analyze data without worrying about the underlying storage format or system, and eliminates the need to duplicate or move data, reducing cost and inefficiencies. With BigLake, users gain fine-grained access controls, along with performance acceleration across BigQuery and multicloud data lakes on AWS and Azure. BigLake also makes that data uniformly accessible across Google Cloud and open source engines with consistent security. BigLake enables you to:

  • Extend BigQuery to multicloud data lakes and open formats such as Parquet and ORC with fine-grained security controls, without needing to set up new infrastructure.
  • Keep a single copy of data and enforce consistent access controls across analytics engines of your choice, including Google Cloud and open-source technologies such as Spark, Presto, Trino, and Tensorflow.
  • Achieve unified governance and management at scale through seamless integration with Dataplex.

https://cloud.google.com/blog/products/data-analytics/unifying-data-lakes-and-data-warehouses-across-clouds-with-biglake

Airbyte Cloud now available in U.S.

April 5, 2022 /

Airbyte, creators of an open-source data integration platform, made available in the U.S. its cloud service for data movement and unifying data integration pipelines. Airbyte Cloud’s pricing model is based on compute time, which can be less expensive than the industry-norm volume-based pricing which is cost prohibitive when replicating high volumes of data.

Airbyte’s open-source data integrations focused on solving two problems: First, companies have to build and maintain data connectors on their own because most less popular “long tail” data connectors are not supported by closed-source ELT technologies. Second, data teams often have to do custom work around pre-built connectors to make them work within their unique data infrastructure. In addition to providing hosting and management, Airbyte Cloud enables companies to have multiple workspaces and provides access management for their teams.

The company also announced cooperation with open-source maintainers within its user community. Airbyte will provide compensation for helping deliver new features and bug fixes for the continuously-growing list of data connectors. Contributors can earn money for work on data connectors for finding software bugs, and for bug fixes.

https://airbyte.com

Indico Data updates its Unstructured Data Platform

March 28, 2022 /

Indico Data, the unstructured data company, unveiled Indico 5, a major release of its AI-powered Unstructured Data Platform. Indico 5 addresses the rapidly growing market demand for software solutions that drive efficiency and accelerate automation and intelligent document processing (IDP) initiatives using unstructured data.

The Indico Unstructured Data Platform, through a combination of a proprietary training data corpus, composite AI technology, and machine teaching application interface, drives an AI success rate, with more than 90% of projects in production.

Indico 5 was purpose-built to streamline some of the toughest unstructured data automation problems in IDP, such as document unbundling of PDFs, and ensuring the human training corrections of models made in the review cycle can be automated in future situations. The addition of linked relationship labeling and a new, more intuitive visual interface empowers organizations to easily automate, analyze, and apply unstructured data, illuminating opportunities, improving efficiency, and reducing risk. New features include: Automatic Document Unbundling, Linked Labels, Staggered Loop Training, Universal Document Support, and Workflow Canvas.

https://www.indicodata.ai/indico-5

Access Innovations announces Video/Audio to Text to Tagging solution for video transcript search

March 28, 2022 /

Access Innovations, Inc. announced Video/Audio to Text to Tagging (VATT), a solution that translates audio files to time stamped text transcripts for indexing, classifying, and enriching by Data Harmony Hub. Originally developed to improve search precision on training videos for a large chemical manufacturer, the new tagging capabilities can be used on any video or audio content from lectures, demonstrations, conferences, and more. Once metadata tagging is completed by Data Harmony Hub, a “point in time” search allows for users to find the precise time within the video/audio where the speaker or narrator discusses a specific topic, without wasting time browsing and scrolling through the entire video to find the information they need.

Organizations are generating video content and placing it on YouTube and other video aggregation service platforms. If transcripts are not available and searchable, the viewer is disappointed when they attempt to search a library of videos. In most cases, search is only available on the video title, the speaker or performer name, and possibly the date. With the video/audio to text to tagging solution, viewers enjoy a more robust search experience, reduce noise within the search results, and pinpoint topics and concepts of interest.

https://www.accessinn.com

Super.AI updates its Unstructured Data Processing platform

March 22, 2022 /

Super.AI announced the latest version of the company’s Unstructured Data Processing (UDP) Platform, to make it easier for global business services and IT departments to expand the scope and pace of intelligent automation.

Shared services centers typically deploy multiple point solutions for document processing, sensitive information redaction, and processing other forms of unstructured data such as emails, text, images, video, and audio. Super.AI’s UDP Platform unifies intelligent document processing (IDP), human-in-the-loop (HITL), redaction, and processing of any data type — reducing the number of platforms needed for intelligent automation. Enhancements in the latest release include:

  • Next-generation intelligent document processing (IDP) that utilizes artificial intelligence technology to deliver the highest quality results.
  • Efficient and accurate document, image, audio, and video redaction to streamline regulatory compliance and reduce risk.
  • Reimagined human-in-the-loop capabilities for data validation and labeling, allowing organizations to incorporate third-party and in-house experts into automation workflows.
  • 150+ quality control mechanisms built into the platform that guarantee output and ensure service level agreements (SLAs) are met.

https://super.ai

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