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Category: Computing & data (Page 55 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.

DataStax and IBM collaborate on NoSQL database

DataStax announced a collaboration with IBM to deliver DataStax Enterprise, a scale-out NoSQL database built on the open source Apache Cassandra. DataStax Enterprise with IBM is now available to help enterprises build and manage modern data applications in hybrid and multi-cloud environments. DataStax Enterprise is an open, multi-cloud stack for modern data applications, a multi-model database incorporating transactions, search, analytics, and graph workloads all on the same platform. Building on the existing IBM Cloud Databases for DataStax product, DataStax Enterprise with IBM is designed to provide IBM customers with a hybrid cloud solution set that can be deployed on private clouds or on multiple public clouds to support applications requiring open source Apache Cassandra-based technology. DataStax Enterprise with IBM is designed to provide enterprises with:

  • The elimination of data sprawl with an operational data platform that helps enable organizations to move away from legacy systems
  • A lightning-fast data layer that can keep pace with AI and machine learning priorities
  • Extensibility to build an ideal tool and future-ready deployments
  • Global sales and support from IBM for worldwide customer deployments

https://www.ibm.com/products/datastax-enterprise

ABBYY launches no-Code platform Vantage 2 and AI Marketplace

ABBYY launched Vantage 2, a low-code/no-code platform that delivers cognitive skills for RPA robots, automation systems, chatbots, and mobile solutions, enabling organizations to gain insights from documents and content. The company also launched ABBYY Marketplace, a marketplace where organizations can discover, try, and purchase reusable AI skills to accelerate their automation initiatives, while partners can build and publish skills to automate all types of content-centric processes.

ABBYY Vantage 2 lets citizen developers to have more control within intelligent automation initiatives, enabling business users to digitize operations faster without complete reliance on IT: with Vantage, they can derive insights from documents on a large scale. The re-architectured platform is built on microservices and packaged into containers orchestrated by Kubernetes. Cognigy, EXL, Kryon, Micro Focus, NICE, Pegasystems, PwC, and RoboRana are already integrating Vantage 2 with their platforms. Out-of-the-box connectors developed by ABBYY are available for Alteryx, Blue Prism, and UiPath.

The new ABBYY Marketplace provides an extensive online collection of reusable technology assets including cognitive skills for classification of documents and data extraction, ready-to-go process flows, and pre-built connectors. The Marketplace offers pre-trained skills for all types of documents like invoices, purchase orders, receipts, loan documents, insurance claims, bills of lading, and more.

www.abbyy.com/solutions/digital-intelligence

Optimizely acquires customer data platform Zaius

Optimizely announced it has acquired Zaius, a customer data platform (CDP), bringing the context of the customer to the experience creation and optimization process of digital experiences. With the addition of Zaius organizations can:

  • Harmonize: Zaius adds 50 pre-built connector apps, including Shopify, Snowflake and Zendesk, to Optimizely’s Digital Experience Platform (DXP), powering the ability to create a unified view of customers via one-click integrations and automated identity resolution with consent management.
  • Understand: Zaius’s segmentation engine coupled with Optimizely’s behavioral data (from experiments) and transactional insights (from its content and commerce platform) provides a new level of insight aided by artificial intelligence (AI) and machine learning (ML)-driven predictions.
  • Act: Zaius includes more than 125 pre-configured orchestration recipes that allow marketers to take the optimal action immediately based on the full context of digital performance now visible across the entire process from creation to optimization.

Optimizely’s DXP focuses on the creation and optimization of digital experiences. With Zaius’s CDP – including its capabilities for AI and ML – the platform can unlock more value by providing visibility and guidance through the lens of the customer.

https://www.optimizely.com ▪︎ https://www.zaius.com

DataRobot 7.0 enhances enterprise AI platform

DataRobot unveiled upgrades to every product in its enterprise AI platform to optimize the value seen through AI deployments and enable better business outcomes with AI. Enhancements include:

  • MLOps remote model challengers, which allow organizations to challenge any production model – no matter where it is running and regardless of the framework or language in which it was built. By analyzing how challenger models perform versus the current champion model on the exact same production data, companies can easily determine which model is best for them now or at any point in history.
  • Choose your own forecast baseline, which lets companies compare the output of their forecasting models with predictions from DataRobot’s Automated Time Series product.
  • Visual AI image augmentation, available through DataRobot AutoML, which creates new training images from a company’s dataset by intelligently replicating and transforming the original images. Organizations can improve the accuracy of their image models while reducing the need to manually capture and label new images.
  • Enhanced prediction preparation. DataRobot’s visual data prep capabilities allow organizations to prepare their data for model training. Customers can use visual data prep to more easily score new data from models already deployed. DataRobot’s Data Prep tools work within platform, enabling companies to secure scored data and prediction explanations from any deployed model for transparency and trusted AI. For addition features see

https://www.datarobot.com/platform/new/datarobot-7-0/

Datadobi supports file data protection on Microsoft Azure Blob

Datadobi, provider of unstructured data management software, announced it has added support for Azure Blob storage in DobiProtect 5.11, enabling customers to protect their data from any NAS or cloud filesystem to Microsoft’s cloud-based object storage solution. As unstructured data continues to grow rapidly, Datadobi allows enterprises to protect against cyberthreats, ransomware, accidental deletions, and software vulnerabilities with a simple, quick, and cost-effective solution. Azure Blob storage is a massively scalable and secure object storage service for data lakes, archives, cloud-native workloads, analytics, and machine learning. Using Datadobi, organizations can now maintain protection copies of their file data in Azure Blob Storage.

https://datadobi.com

Expert.ai launches natural language user community

Expert.ai today launched a new user Community designed to serve the AI natural language understanding (NLU) and natural language processing (NLP) software ecosystem using the expert.ai NL technology, products and API. By sharing thought leadership, best practices, training material, and more, the Community is a space for developers, data scientists, knowledge engineers, computational linguists, AI enthusiasts and experts to learn more about the NL capabilities from the AI tools provided by expert.ai. Members can leverage the Community to gain new insights and knowledge, get advice from technical experts to overcome NL challenges and expand skills, interact with peers to ask support and share acquired expertise. To learn more or join the expert.ai Natural Language Community, visit

https://community.expert.ai

ThoughtSpot announces new Snowflake investment

ThoughtSpot, provider of enterprise search & AI-driven analytics, announced a new investment from Snowflake Ventures, the ventures arm of Snowflake. This investment reflects the continued partnership and success joint customers are able to achieve with Thoughtspot’s AI-driven analytics platform powered by Snowflake’s Data Cloud. Organizations that have adopted the Data Cloud in combination with search and AI-driven analytics move beyond traditional static dashboards and improve how they leverage data. With Snowflake and ThoughtSpot, companies are able to empower every employee with granular insights that create bespoke, personalized experiences. Joint customers will benefit from:

  • Accelerated product innovation. ThoughtSpot’s search and AI-driven analytics platform will continue to integrate and leverage the latest Snowflake platform features that enable joint customers to further democratize the use of data and unlock meaningful business insights.
  • Increased ROI from cloud migrations. With ThoughtSpot and Snowflake, companies can quickly get their data into the cloud, identify and move analytics use cases into production, and scale these to any employee in their business.
  • Continued joint go to market. ThoughtSpot and Snowflake will work together to help companies experience the combination of their solutions through jointly held virtual events, workshops, and a free trial of ThoughtSpot.

https://www.thoughtspot.com

TELUS International completes acquisition of Lionbridge AI

TELUS International announced the completion of its previously announced acquisition of a 100% interest in Lionbridge AI, following the clearance of the acquisition by the Committee on Foreign Investment in the United States (CFIUS). Lionbridge AI is a global provider of scalable data annotation services for text, images, videos, and audio. The company sources multilingual training data in more than 300 languages and dialects to build premium, ground truth data for some of the world’s largest technology companies in social media, search, retail and mobile. Lionbridge AI has also developed a proprietary data annotation platform that is used in combination with a crowdsourced community of one million professional annotators, qualified linguists and in-country language speakers across six continents.

https://www.telusinternational.com

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