Curated for content, computing, data, information, and digital experience professionals

Category: Computing & data (Page 58 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.

Franz announces AllegroGraph 7.1

Franz Inc., supplier of Graph Database technology for AI knowledge graph solutions, announced AllegroGraph 7.1, which provides optimizations for complex queries across FedShard deployments faster. AllegroGraph with FedShard allows infinite data integration through unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution for Enterprise scale analytics. Big Data predictive analytics requires a data model approach that unifies typical enterprise data with knowledge bases such as taxonomies, ontologies, industry terms and other domain knowledge. The Entity-Event Data Model utilized by AllegroGraph puts core ‘entities’ such as customers, patients, students or people of interest at the center and then collects several layers of knowledge related to the entity as ‘events’. The events represent activities that transpire in a temporal context.

The AllegroGraph 7.1 release accelerates complex reasoning across enterprise-scale data by providing users with additional query options. Franz’s Research and Development team discovered an approach that can significantly improve certain SPARQL Path Expression queries across database shards. AllegroGraph’s advanced caching methods and merge join operations provide optimizations to the scalable, parallel distributed query approach that is offered via FedShard. The new release includes support for the RDF* and SPARQL* extensions and extended support for SHACL (SHApe Constraint Language).

https://www.franz.com/

Nuance acquires Saykara

Nuance Communications, Inc. announced the acquisition of Saykara, Inc., a like-minded startup focused on developing a mobile AI assistant to automate clinical documentation for physicians. The acquisition underscores Nuance’s ongoing expansion of market and technical leadership in conversational artificial intelligence (AI) and ambient clinical intelligence (ACI) solutions that reduce clinician burnout, enhance patient experiences, and improve overall health system financial integrity. Saykara was founded in Seattle in 2015 by Harjinder Sandhu, PhD, a serial entrepreneur who previously served as an executive in Nuance’s R&D division. Sandhu and Saykara’s team of engineers, machine learning experts, and experienced technology executives will join Nuance’s research and development team.

https://www.nuance.com/index.html, https://www.saykara.com

Automattic acquires Parse.ly

Parse.ly is joining WPVIP, Automattic’s enterprise WordPress SaaS software division. With the Parse.ly acquisition, WPVIP is expanding their commitment from supporting premium WordPress-based content management to the much wider market of digital experience, across all content platforms.

For WPVIP, content management is only one part of this much wider digital experience market. In the same way that you can use Adobe Analytics (formerly Omniture) without using Adobe CQ or Experience Manager (AEM), Parse.ly users can use our product without using WordPress or WordPress VIP. With the addition of Parse.ly, WPVIP now offers a way for any site or app, running any CMS (or even several CMSes), to utilize our content analytics system. As a customer, regardless of whether you’re running WordPress or not, Parse.ly will continue to provide active, CMS-agnostic development and support.

Parse.ly’s open source WordPress plugin is already a popular way to deploy Parse.ly to websites. And we have lots of ideas for how Parse.ly’s dashboard and API can improve enterprise WordPress sites. Parse.ly has worked with media, entertainment, e-commerce, financial services, professional services, non-profits, tech, and more. We’ve sold to Fortune 100 companies, and across every continent (except Antarctica). And worked across content teams, marketing teams, product teams, and data teams with titles ranging from C-level executive to copywriter to data scientist.

https://blog.parse.ly/post/9995/wpvip-acquisition/

eccenca and Ontotext partner on enterprise data management

Ontotext and eccenca announced they have teamed up to boost the value of semantic technologies by jointly creating vertical and horizontal enterprise data solutions. eccenca Corporate Memory provides a multi-disciplinary integrative platform for managing enterprise data related rules, constraints, capabilities and configurations in a single application. By making enterprise data both machine-readable and human-interpretable, enterprises are enabled to drive agility, autonomy and automation without disrupting existing IT infrastructures. GraphDB is an enterprise-ready semantic graph database engine combined with content and data analytics capabilities. GraphDB allows users to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. GraphDB’s differentiators include integration with full-text search engines (Elasticsearch, SOLR and Lucene) and document databases (MongoDB).

Together the two companies are now offering a mature knowledge graph technology stack. They also provide custom industry solutions including Healthcare, Pharma, Automotive, Manufacturing, Financial Services and IT Management. The joint eco-system of Ontotext and eccenca also includes the ability to globally deliver custom solutions. Consulting partners of both companies include ATOS, BearingPoint, Capgemini, Deloitte, Fujitsu, InfoSys, NTT Data (Everis), MHP, PWC, Tata and Wipro. Both companies have been enabling enterprises to overcome complexity by digitally documenting and automating knowledge management.

https://www.ontotext.com/, https://eccenca.com/

MongoDB releases MongoDB Realm Sync

MongoDB, Inc. announced the general availability of MongoDB Realm Sync, a fully managed service which syncs data between the Realm mobile database and MongoDB Atlas. This new solution addresses the unique technical challenges of mobile and offline-first development, allowing organizations to rapidly build responsive applications for their customers and remote workforces. Realm Sync will enable teams to take advantage of bidirectional data sync between devices and the multi-cloud database, MongoDB Atlas, without having to write complex conflict resolution and networking code. The Realm mobile database allows end users to read and write data to their devices, enabling zero-latency data retrieval and offline application functionality. Bidirectional sync to MongoDB Atlas enables data captured on the device to be processed, analyzed, and combined with other data sets; this can then be delivered back to the user’s device to deliver a better and more robust experience.

https://www.mongodb.com/blog/post/announcing-mongodb-realm

BlueConic and Nagarro partner to deliver enterprise CDP

BlueConic, a pure-play customer data platform (CDP), and Nagarro, provider of digital engineering and technology solutions, announced a strategic partnership to help enterprise organizations deploy BlueConic. Nagarro’s expertise in BlueConic’s technology, combined with the implementation and utilization best practices already used by BlueConic, will help ensure joint customers get value from their investment. Making first-party data a strategic asset is the future of all businesses. Yet accessing unified, actionable customer data can be challenging for innovative disruptors and established stalwarts. As these companies embrace the need for business transformation, they are confronting the pain of trying to use technologies with multiple unique ways of storing data and recognizing customers to support a fast moving, end-to-end customer experience.

https://www.blueconic.com, https://www.nagarro.com/en

Khoros acquires Flow.ai

Khoros, a provider of digital-first customer engagement software, announced that it has acquired Flow.ai, a conversational AI platform for designing and managing chatbots. Adding Flow.ai’s technology advances Khoros’ conversational AI and machine learning (ML) capabilities, data science expertise, and reflects the Company’s continued investment in the automation framework that powers Khoros’ customer engagement platform. Khoros currently offers its customer-facing chatbot, Khoros Bot, as a fully developed, ready-to-use service that easily integrates with its digital customer care solution, Khoros Care. With Flow.ai, Khoros will extend the AI/ML capabilities available to brands for greater self-service and operational agility.

With the open APIs available in Khoros’ automation framework, the Company remains “bot agnostic” and will continue to enable brands to integrate with any third-party bot provider. The Company also offers expert guidance on bot strategy through Khoros’ Strategic Services team, who can help brands identify the steps in the customer journey that are best suited for automation and how to maximize the satisfaction and ROI of those experiences.

https://khoros.com/platform/ai-ml, https://flow.ai

Algolia acquires MorphL

Algolia, a Search-as-a-Service company, announced that it has acquired MorphL, a Google Digital News Initiative-funded startup, to help power Algolia’s new AI offering. This new suite of API-based Artificial Intelligence (AI) and Machine Learning (ML) models enables developers, data scientists, and marketers to predict users’ intent, personalize online experiences, and create targeted offers. Applying AI to every point in a user’s journey can be complex. Historically, developers’, data scientists’, and marketers’ options have been limited to a reliance on either “opaque” proprietary or open source offerings, or to build their own models from scratch, which could take several weeks or months. Algolia’s AI offering simplifies the ability to understand users’ intent so that it is possible to personalize experiences and offers, even from “first visit” and “first search.”

This acquisition extends Algolia’s intelligent search APIs, with recommendations and user behavior models all along the customer journey, so companies can deliver intent-based experiences and iterate quickly in response to market trends and user propensity profiles. It also allows them to leverage their market knowledge to manage and tune the entire experience.

https://www.algolia.com/products/ai-studio

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