Newgen Software, a provider of a unified digital transformation platform, is pleased to announce that it is acquiring India-based Number Theory, an AI/ML (artificial intelligence and machine learning) data science platform company, subject to the completion of conditions as stated in the approved Share Purchase Agreement. Number Theory’s platform, AI Studio, brings intuitive AI/ML to every enterprise, while unifying the entire lifecycle of data engineering, from data preparation to model development and monitoring. It empowers both citizen and expert data scientists to work faster and more efficiently, thereby helping in accomplishing key machine learning tasks in just hours or days, not months. This acquisition is meant to strengthen Newgen’s low code digital transformation platform, NewgenONE, with AI/ML modeling and data analytics capabilities.
Year: 2022 (Page 26 of 27)
Ceros, a cloud-based, no-code design platform for interactive content, announced its acquisition of online visual feedback tool Oroson to accelerate its mission of empowering creativity and collaboration. The acquisition will add new functionality to Ceros’ own feedback collaboration tool, MarkUp. Available as a free subscription, MarkUp allows users to upload any website, image or PDF and share it across an organization for others to provide, review and resolve comments directly on the content itself. With the acquisition of Oroson, MarkUp users will be able to upload video and audio files and provide feedback — frame by frame — without the need to share individual files back and forth among teams. The new feature is expected to be available this summer.
Based in Northern Ireland, Oroson was founded eight years ago by Daniel McGlade, CEO, and Richard Davidson, CTO, who together have nearly five decades of experience in software development and deep market insights into meeting the needs of creative teams who need to easily review and provide clear feedback on digital content. In his new role with MarkUp, McGlade will lead growth and revenue. Davidson will transition into the role of principal engineer for MarkUp.
Progress announced the R1 2022 release of Progress Telerik and Progress Kendo UI, .NET and JavaScript UI libraries for app development. With the latest Developer Tools release, Progress is delivering new UI components and advanced features for .NET and JavaScript with its native UI component suites for Blazor, Angular and React. The release also includes REPL Playgrounds for Blazor and ASP.NET Core enabling developers to write, run, save and share code snippets in the browser, and support for .NET 6 and Visual Studio 2022 across all Telerik UI tools. In addition, Progress is simplifying the collaboration between developers and designers by expanding its design kits for Figma with new components, and adding theme improvements to its .NET and JavaScript libraries.
Progress also released enhancements and new components for .NET web, mobile and desktop development across its UI libraries, reporting, testing and mocking tools, including Telerik UI for ASP.NET MVC, Telerik UI for ASP.NET Core, Telerik UI for ASP.NET AJAX, Telerik UI for Xamarin, Telerik UI for WPF, Telerik UI for WinForms, Telerik Reporting, Telerik JustMock and Telerik Test Studio Dev Edition. The Telerik and Kendo UI R1 2022 release is available today.
This week we have content from Rachel Dulberg, and Cobus Greyling. News comes from dtSearch, MACH Alliance and AWS, Nosto and SearchNode, and Databricks.
Opinion / Analysis
Apple and Google are drawing the line on app privacy
Rachel Dulberg provides a quick update on the lumbering global privacy legislation, and then discusses the privacy rules Google and Apple are already putting in place in their app stores. Presumably, any organization with an app is going to have to do something, and soon. Fortunately, both companies have similar rules and Dulberg has some advice. (6 min read)
Updated: the current conversational AI & chatbot landscape
Making astute technology decisions at the inception of your chatbot journey has a significant impact on what your chatbot’s trajectory will be…
Cobus Greyling provides lots of detail on frameworks and tools to help you navigate. (10 min read)
More Reading…
- Always a good source for this topic… The future of the modern data stack in 2022 via Prukalpa
- What is a feature store? If you don’t know this will get you up-to-speed. via Louise de Leyritz
- Fascinating, but you may want your specs and a straight edge… The lifespans of technological adoptions in the US via Asymco
Content technology news
AWS joins MACH Alliance
Amazon Web Services (AWS) has joined as an Enabler member, those that enable a MACH provider but don’t offer a direct MACH solution.
https://gilbane.com/2022/01/aws-joins-mach-alliance/
dtSearch updates product line
Includes Windows 11, Windows Server 2022, .NET 6 Support; Apple Silicon M1/ARM Developer Build; Multithreaded 64-bit Windows/Linux Preview.
https://gilbane.com/2022/01/dtsearch-updates-product-line/
Nosto acquires SearchNode, adds ecommerce Search to CX
Pairs SearchNode’s natural language processing search technology with Nosto’s CX personalization and merchandising capabilities.
https://gilbane.com/2022/01/nosto-acquired-searchnode-adds-ecommerce-search-to-cx/
Databricks launches Data Lakehouse for Retail
Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and practices.
https://gilbane.com/2022/01/databricks-launches-data-lakehouse-for-retail/
The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.
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Acquia announced advanced retail machine learning models for Acquia Customer Data Platform (CDP), designed to increase customer lifetime value. Among these is a new “market basket” model to drive digital commerce conversions by intelligently bundling relevant products, to help retailers to better understand the behavior of their customers. The market basket model for Acquia CDP is an analytics solution that helps retailers effectively pair products, price packages and gain a deeper understanding of their customers’ buying preferences. This model works by identifying correlations between items frequently purchased together to make smarter recommendations to end customers.
dtSearch announced a new version, 2101.02, of its product line to instantly search for terabytes of online and offline data, spanning multiple folders, emails including attachments and nested attachments, online data and other databases. The product line covers enterprise and developer applications. The developer SDKs also make available dtSearch’s document filters. Developer applications can run “on premises” or in a cloud environment like Azure or AWS. The new version includes:
- Windows 11, Windows Server 2022, and .NET 6 added as supported platform/environments
- Apple silicon M1/ARM developer build for the dtSearch Engine for macOS
- Multithreaded 64-bit indexer preview feature for much faster indexing on multicore Windows and Linux systems
- Search dialog box improvements for handling large numbers of indexes
- Support for the new 64-bit versions of Adobe Acrobat and Adobe Reader for end-user PDF display with highlighted hits
- Addition of Korean Hancom Office HWPX to dtSearch document filters
MACH Alliance, a group of independent tech companies dedicated to advocating for open, best-of-breed technology ecosystems, announced today that Amazon Web Services (AWS) has joined as an Enabler member.
MACH Alliance announced in December its new Enabler membership category, which was created for companies that are utilized by MACH organizations to deliver a service or technology but they themselves do not offer a direct MACH solution. They are, therefore, enabling a MACH provider but don’t offer a direct MACH solution. A MACH architecture, which stands for Microservices, API-first, Cloud native and Headless (MACH), gives companies a deeper level of agility, allowing them to deliver new features to their customers at speed. This architecture has spread from e-commerce to store systems and is now changing the way enterprise software is developed and utilized across virtually every industry, not just commerce.
Databricks announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve data challenges that retailers, partners, and their suppliers are facing.
Databricks’ Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of tools and partners. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and practices to save development time for data engineers and data scientists. Solution accelerators include:
- Real-time Streaming Data Ingestion: with point-of-sale, mobile application, inventory and fulfillment data.
- Demand forecasting and time-series forecasting: with fine-grained demand forecasting to predict demand for items and stores.
- ML-powered recommendation engines: specific recommendations models including neural network, collaborative filtering, content-based recommendations.
- Customer Lifetime Value: predict behaviors of churn, and segment consumers with customer analytics accelerators to help improve decisions on product development and promotions.
Databricks partners like Deloitte and Tredence are delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases.
https://databricks.com/solutions/industries/retail-industry-solutions
