Alation Inc., a provider of enterprise data intelligence solutions, announced the acquisition of Lyngo Analytics, a Los Altos, Calif.-based data insights company. The acquisition will elevate the business user experience within the data catalog, scale data intelligence, and help organizations drive data culture. Lyngo Analytics CEO and co-founder Jennifer Wu and CTO and co-founder Joachim Rahmfeld will join the company.
Lyngo Analytics uses a natural language interface to empower users to discover data and insights by asking questions using simple, familiar business terms. Alation an intelligent and user-friendly machine-learning data catalog. By integrating Lyngo Analytics’ artificial intelligence (AI) and machine-learning (ML) technology into its platform, Alation deepens its support for the non-technical user, converting natural language questions into SQL. Business users can acquire and develop data-driven insights from across an enterprise’s broad range of data sources. This means even data consumers without SQL expertise can ask questions in natural language and find data and insights without the support of data analysts.
DataStax, mostly known for AstraDB the multi-cloud database based on Apache Cassandra, announced the addition of new capabilities to its Stargate Gateway product, a data gateway deployed between client applications and databases, that exposes the database layer as multiple APIs offering flexibility to the way you expose your data.
The APIs in question are the Document, REST, CQL and GraphQL. As such under the Document API you can modify and query data stored as unstructured JSON documents in collections. The REST API exposes CRUD access to data stored in Cassandra tables, while under the CQL API you can access those tables using Cassandra’s native query language CQL. Lastly, under the GraphQL API you can easily modify and query table data using GraphQL types, queries, and mutations. The GraphQL API has now been extended so developers can create tables and define schemas in Apache Cassandra without the need to work directly with CQL.
Through integration with the Apollo Gateway it can also interface with other databases that support GraphQL including MongoDB, MySQL and PostgreSQL, as well with data stores on AWS, Google Cloud, and Microsoft Azure. Stargate is available as part of the Astra DB cloud service.
John Snow Labs, a Healthcare AI and NLP company and developer of the Spark NLP library, announced that it will enable free access to its enterprise-grade Annotation Lab and NLP Server software for all users. The Annotation Lab, a data labeling and AI/ML solution for teams, enables users to annotate documents, images, and videos. The software automatically trains models using active learning and transfer learning. The project-based workflow helps users leverage real-time analytics on productivity, dataset bias, and inter-annotator agreement.
The enterprise solution also supports strong user management and role-based access, fully versioned and auditable completions, customizable workflows and tags, the ability to use custom models and embeddings, and integration with other tools using an API. Users can install the Annotation Lab within their own software infrastructure, including in air-gap networks, avoiding the need to share any data. There are no limits on the number of deployments, users, and customers. The NLP Server grants users access to thousands of pretrained out-of-the-box NLP models, enabling their use with no coding or data science experience necessary. Users can simply install the server as a single Docker container or on a cloud compute instance and access APIs.
DataStax announced that K8ssandra, an open-source distribution of Apache Cassandra on Kubernetes, is available on the VMware Marketplace. VMware Marketplace enables customers to discover and deploy compatible, validated third-party solutions to VMware environments. Once validated, partners can easily publish their solutions for VMware customers across platforms. Customers will be able to access these third-party partner solutions directly from their cloud environments, while also being able to experience the convenience of features such as notifications, reporting, and analytics.
Every element of a modern data application should embody the cloud native principles of scale, elasticity, self-healing, and observability. K8ssandra is at the forefront of the move to cloud native data on Kubernetes. K8ssandra combines the flexible, cloud-native benefits of Kubernetes together with the global scale of Cassandra — the NoSQL database used by enterprises including Apple, Instagram, Netflix, Sky, Spotify, TikTok, Uber, and Yelp. It is a complete operational data platform for Kubernetes including APIs, monitoring, and backups, providing database administrators (DBAs) and site reliability engineers (SREs) elastic scale for data on Kubernetes.
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.
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.
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.
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.com ■ https://www.lexalytics.com