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Category: Computing & data (Page 46 of 90)

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.

AtScale expands semantic layer solution for Microsoft Excel

AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced deeper integration with Microsoft Excel’s advanced analytic functions. AtScale makes it possible to connect Excel workbooks to live cloud data platforms, including Snowflake, AWS, Microsoft Azure, Google Cloud, and Databricks. Excel users can work with data without extracting or moving data. Leveraging native MDX (Multi-Dimensional Expression) integration, the AtScale semantic layer is accessible with Excel PivotTables, Slicers, and Cell Definitions. New support includes the ability to work with cell-level CUBE functions for embedding dimensional queries directly in cell formulas. Capabilities include:

  • Native Connection – AtScale’s MDX-based connector lets Excel users access models and data through a semantic layer, with no additional drivers or client-side software. AtScale shields data consumers from the raw data structures and cloud access.
  • Performant Access to Live Cloud Data – Data requests through AtScale’s semantic layer are directed in real time to underlying cloud data platforms, with no need for extracts or pre-processing of data.
  • Analytics Governance and Security – Supports Excel’s single sign-on with Active Directory / LDAP integration.
  • Automatic Data Refresh – Supports Excel’s automatic data refresh to avoid stale data and the need to manually copy and paste raw data.

https://www.atscale.com/press/atscale-expands-semantic-layer-solution-for-microsoft-excel/

Kentico updates Kentico Xperience 13

Kentico released “Refresh 3” for Kentico Xperience 13. When creating new web pages in Page Builder you can now offer visitors related content, for example blog articles and similar products. Up to now, if you wanted to add several related pages, you needed a separate widget for each card. Adding multiple cards with related pages to a single widget needed a custom workaround. 

If an editor chooses a wrong widget for a zone, it doesn’t display correctly and looks like a bug. With Widget Zone Restrictions, developers can define which widgets are suitable for each zone. When building pages, you get only the suitable widgets offered. And when you drag-and-drop a widget to a different position, you see which zone it is allowed to sit in.

With the new Widget Zone Names, developers can allocate a title to every zone. Then, the system remembers which zone each widget belongs to. In case an editor decides to swap the zones, the widgets automatically “follow” them to the new positions. This gives you freedom to be creative with your page layout, try different options and choose the best one. Focus on the final look rather than manual work.

https://xperience.io

DataRobot launches DataRobot AI Cloud

DataRobot unveiled DataRobot AI Cloud, a unified environment that serves as a single platform to accelerate delivery of AI to production. DataRobot also announced new features and capabilities for DataRobot AI Cloud to enhance operations in production and build AI-powered applications.

The platform brings together disparate data and users, spanning expert data scientists to IT operators to business analysts, through enhanced collaboration and continuous optimization across the entire AI lifecycle. Built as a multi-cloud platform, DataRobot AI Cloud enables organizations to run on any combination of public clouds, data centers, or at the edge, with governance. The launch includes new features and capabilities to manage AI in production and enable AI-driven decisions across all lines of business in a single platform:

  • Decision Intelligence to make AI accessible to front-line decision makers, including pre-built use case solutions accelerators to quickly get started with the most popular AI use cases, and new capabilities to automate and scale predictions with Decision Intelligence Flows
  • New tools for code-first data science experts, including Composable ML, enhanced cloud-hosted notebooks, and code-centric data pipelines
  • Continuous AI and bias monitoring for ML operators to optimize model performance after deployment and help ensure fair and unbiased models in production.

https://www.datarobot.com/news/press/datarobot-propels-intelligent-business-forward-with-launch-of-datarobot-ai-cloud/

InMoment completes acquisition of Lexalytics

InMoment, a provider of Experience Improvement (XI) solutions, announced it has completed the acquisition of Lexalytics, a provider of cloud and on-premise natural language processing (NLP), and machine learning (ML) that transform structured data, text, and unstructured data from any source, into actionable intelligence. Lexalytics brings two decades of structured and unstructured data experience and cloud and on-premise text analytics solutions that go beyond surveys to include social, call center, voice, reviews, support tickets, chat logs, and many additional data channels.

This combination brings flexibility to organizations that require private, public, or hybrid cloud text analytics infrastructures, and unlocks new market opportunities with native text analytics across 24 languages and a large set of industry data sets. Together, InMoment solutions can be implemented in a variety of industries for social media monitoring, people analytics and voice of the employee, reputation management and voice of the customer, and regulatory compliance programs. Lexalytics employees, including its founder Jeff Catlin, will continue in their roles and will be key to accelerating InMoment’s structured and unstructured analytics leadership and initiatives.

https://inmoment.comhttps://www.lexalytics.com

Databricks closes series H with more participation from AWS and Microsoft

Databricks, the Data and AI company known for their data lakehouse architecture, announced the final closing of their recent Series H funding. Cloud leaders and existing investors Amazon Web Services (AWS), CapitalG, and Microsoft will participate in Databricks’ $1.6 billion round of funding, which puts the company at a $38 billion post-money valuation. The Series H funding will be used to accelerate innovation and adoption of the lakehouse as the data architecture’s popularity across data-driven organizations continues to grow at a rapid pace.

Databricks has a simple and open architecture for data and AI, which brings the reliability, governance, and performance of a data warehouse directly to the data lakes that most organizations already store all of their data in. Rather than being forced to move data out of the data lake, and between various disconnected and legacy systems for different use cases, Databricks customers are building analytics platforms on AWS, Microsoft Azure, and Google Cloud to support every data and analytics workload in a single, unified location.

https://databricks.com/company/newsroom/press-releases/databricks-closes-series-h-with-additional-participation-from-strategic-partners

Tableau launches new data analytic capabilities

Tableau, an analytics platform, unveiled new data and analytics platform capabilities. The new enterprise capabilities and new enterprise subscription plans will help customers advance their digital transformations by empowering everyone in an organization with trusted and governed data.

  • Managing the data chaos and enabling data governance. New capabilities are making data challenges easier to manage, scale, and trust
    • Data Prep: Reduce loads/costs of server resources automatically and generate rows to more map out trends in data
    • Governance: Help ensure/maintain data quality by alerting you of any potential issues and provide easier visibility into the type of data you have and where it came from
    • Centralized row level security: Increased flexibility and segmentation by allowing Tableau administrators to centrally configure which users and groups have access to which slices of data configure access.
  • Ensuring analytics scales with enterprise demand
    • Enterprise reference architecture: Enterprise Deployment Guidelines (EDG) provides the Tableau reference architecture to enterprises to achieve requirements around availability, scalability and security.
    • Dynamic Scaling: Helps enterprises appropriately resource their deployment and ensures enough containers are available during peak demand times and scale down during low demand times.
    • Resource Management: IT teams can better optimize the performance of Tableau Server by defining application resource limits.

https://www.tableau.com/products/our-platform

The Apache Drill Project releases Apache Drill v1.19

The Apache Drill Project announced the release of Apache Drill v1.19, the schema-free Big Data SQL query engine for Apache Hadoop, NoSQL, and Cloud storage. v1.19 reflects more than 100 changes, improvements, and new features.

An “SQL-on-Hadoop” engine, Apache Drill is easy to deploy, able to process trillions of records, and scalable from a single laptop to a 1000-node cluster. With its schema-free JSON model, Drill is able to query complex semi-structured data in situ without requiring users to define schemas or transform data. It provides plug-and-play integration with existing Hive and HBase deployments, and is extensible out-of-the-box to multiple data sources, such as S3 and Apache HDFS, HBase, and Hive. Additionally, Drill can directly query data from REST APIs to include platforms like SalesForce and ServiceNow. 

Drill supports the ANSI SQL 2003 standard syntax ecosystem as well as dozens of NoSQL databases and file systems, including Apache HBase, MongoDB, Elasticsearch, Cassandra, REST APIs, , HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, NAS, local files, and more. Drill leverages familiar BI tools (such as Apache Superset, Tableau, MicroStrategy, QlikView and Excel) as well as data virtualization and visualization tools, and runs interactive queries on Hive tables with different Hive metastores.

http://drill.apache.org

Zendesk acquires Cleverly

Zendesk announced that Cleverly is joining the Zendesk team. Cleverly provides AI-powered solutions with insight-driven automation that makes support teams more productive. Zendesk will integrate Cleverly’s technology across their platform, enhancing the Zendesk AI solutions already enabling teams to automate more of their processes, reduce costs, and keep up with customer demand. Cleverly and Zendesk share a vision of democratizing AI, and creating practical applications that make it possible for businesses to get started with AI right out of the box, without a team of data scientists required.

While Zendesk has invested in AI to help customers achieve better, faster, and more reliable customer service, we believe there is still so much untapped potential. AI-enabled capabilities help businesses automate the conversations they have with customers, boost agent productivity, and increase operational efficiency with features like Answer Bot, macro suggestions, and Content Cues. With Cleverly, we will deliver a range of capabilities that automate key insights, further reduce manual tasks and improve workflows, and overall lead to happier, more productive support teams.

https://www.zendesk.com/blog/zendesk-welcomes-cleverly/ ▪︎ https://www.cleverly.ai

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