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Category: Computing & data (Page 61 of 92)

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.

ReadSpeaker and SoundHound partner

December 15, 2020 /

ReadSpeaker, an independent digital voice partner for global businesses, announced it has partnered with SoundHound, Inc., provider of voice AI and conversational intelligence technologies to include ReadSpeaker’s text-to-speech (TTS) technology on the Houndify Voice AI platform. Developers using Houndify will have the ability to add ReadSpeaker’s hyper-personalized and lifelike voices to their custom voice assistants. This capability is critical as personalized text-to-speech voices allow brands to be in complete control over every aspect of their conversational UI. Houndify is an independent voice AI platform that provides a full stack of tools and technologies needed for brands to create custom voice assistants with speed and accuracy. By leveraging their proprietary Speech-to-Meaning and Deep Meaning Understanding technologies, Houndify enables voice assistants to understand even the most complex and compound queries using natural language understanding.

https://www.readspeaker.com, https://www.houndify.com/

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Cambridge Quantum Computing advances ‘meaning-aware’ quantum natural language processing

December 10, 2020 /

Cambridge Quantum Computing (CQC) announced that it has built on earlier advances in “meaning- aware” Quantum Natural Language Processing (QNLP), establishing that QNLP is quantum-native with expected near-term advantages over classical computers. Natural language processing (NLP) is at the forefront of advances in contemporary artificial intelligence, and it is arguably one of the most challenging areas of the field. “Meaning-aware” NLP remains a distant aspiration using classical computers. The steady growth of quantum hardware and notable improvements in the implementation of quantum algorithms mean that we are approaching an era when quantum computers might perform tasks that cannot be done on classical computers with a reasonable amount of resources in a repeatable manner, and which are important and suitable for everyday use. In papers posted on arXiv – the scientific e-print repository, CQC’s scientists provide conceptual and mathematical foundations for near-term QNLP in quantum computer scientist-friendly terms. The paper is written in an expository style with tools that provide mathematical generality.

Aiming to canonically combine linguistic meanings with rich linguistic structure, most notably grammar, Professor Bob Coecke (Oxford University) and his team have proven that a quantum computer can achieve “meaning aware” NLP, thus establishing QNLP as quantum-native, on par with the simulation of quantum systems. Moreover, the leading Noisy Intermediate-Scale Quantum (NISQ) paradigm for encoding classical data on quantum hardware – variational quantum circuits – makes NISQ exceptionally QNLP-friendly.

https://cambridgequantum.com, https://arxiv.org/pdf/2012.03755.pdf

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

DataStax delivers new API stack

December 9, 2020 /

DataStax announced a new API stack for modern data apps. Stargate, an open-source API framework for data first unveiled this summer, is now generally available in DataStax’s Astra cloud database and for free download on GitHub. The integration of Stargate into Astra enables developers to use any data store for modern data apps by adding support for new APIs, data types, and access methods. Developers no longer need to work with different databases and different APIs to power modern data apps. Developers can build data apps with:

  • Apache Cassandra: the open-source NoSQL database to manage data at global-scale.
  • K8ssandra: an open-source distribution that enables elastic scale for data on Kubernetes.
  • Stargate: an open-source API framework that enables developers to use their choice of schemaless JSON, GraphQL, and REST APIs.

And benefit from:

  • Choice of APIs — Developers can use their choice of the REST API, GraphQL API or schemaless Document API to access data.
  • No modeling — By using the Document API, developers can store JSON objects in Astra, without doing up front modeling. Developers can easily prototype without having to pre-define schema and queries.

https://www.datastax.com/blog/2020/12/announcing-stargate-10-astra-rest-graphql-schemaless-json-your-cassandra-development

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Ontotext releases GraphDB 9.5

December 9, 2020 /

Ontotext released GraphDB 9.5, which includes data virtualization from tables to graphs and back. GraphDB makes it easy to turn any structured data into an uniform graph – one can access data in relational databases as a virtual graph as well as transform and reconcile tabular data into graphs with unambiguous semantics. GraphDB also makes it easy to consume data – along with the SPARQL protocol and the GraphQL interfaces, data can be accessed via JDBC to suit BI tools and a wide range of legacy systems.

The new release extends the JDBC driver for GraphDB functionality with a user-friendly interface to manage the SQL views. Part of GraphDB’s Workbench, the interface eliminates the need to access the database file system and performs validations of the input SPARQL query and its binding to SQL value types. All users with read access privileges can list the currently active SQL views, and those with write can create or modify them. The release brings also includes improved security and single sign-on support, performance optimizations, and bug fixes to SHACL validation and cluster support, upgrade to the latest version of RDF4J and upgraded connectors to Lucene, SOLR, and ElasticSearch.

https://www.ontotext.com/products/graphdb/

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Glue updates collaboration platform

December 8, 2020 /

Glue Collaboration, provider of collaborative, real-time VR software services, announced a new release of Glue that enables greater immersion and frictionless interaction for remote teams as they co-create, learn, plan and share. Glue provides shared virtual environments where dispersed participants can come together as if they were face to face in a real physical space. Appealing to people’s visual, haptic and auditory senses, Glue provides a level of immersion in remote meetings simply not possible with conventional video conferencing software.

Glue introduced new expressive avatars that use artificial intelligence and advanced graphics to more closely mimic people’s behavior and features to make communication feel as natural as it does in the real world. Using the new built-in avatar configurator, users can also create their own avatar, adjusting face shape and features, hair and clothing as well as customizing colors. Millions of permutations are possible. The new operating system comes with speech-to-text technology, a new whiteboard for ideation, now also accessible to non-VR Glue users, as well as a camera that zooms and shoots in the resolution users choose. Glue has also made improvements to the way users manage their teams, files and spaces.

https://www.glue.work

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Clarifai collaborates with Automation Anywhere on unstructured data

December 8, 2020 /

Clarifai, an AI lifecycle platform provider for managing unstructured image, video, and text data, has joined the Automation Anywhere Technology Alliance Program (TAP) to drive AI search and discovery related use cases. Clarifai’s computer vision and natural language processing artificial intelligence (AI) models are now implemented with Automation Anywhere’s advanced robotic process automation (RPA) software platform. Clarfai uses deep learning to transform large amounts of unstructured image, video, and text data into structured data. These models can be customized to give customers the ability to moderate content, extract visual and textual metadata from content, detect logos within imagery, and more.

https://www.clarifai.com

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Kitewheel expands journey management platform

December 8, 2020 /

Kitewheel announced the integration of a new business intelligence (BI) platform to enhance its data and analytics visualization capabilities. This addition to Kitewheel’s suite of customer journey solutions will provide richer experiences for analytics teams by allowing users to view all their data in one place and enable more efficient journey orchestration. This integration will provide faster time to insights and speed up the journey orchestration timeline. The platform generates user-friendly, comprehensive reports leveraging data from Kitewheel’s Journey Discovery Analytics and Kitewheel Data Model solutions. This self-service model also allows Kitewheel clients to customize data visualizations and report types depending on the insights and level of detail needed. Users will be able to interact with and explore their data, drilling down to extract unique, data-rich findings as well as export and share reports more easily. With multiple dashboards per project and threshold alerts, this new capability offers additional possibilities for enhancing customer journey initiatives.

https://kitewheel.com

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news

Apollo GraphQL launches Development Graphs

December 8, 2020 /

Apollo GraphQL announced the general availability of Development Graphs – a free cloud offering that allows developers around the world to access Apollo’s Studio tools, such as Apollo Explorer, with any server. Development Graphs accelerate the benefits of GraphQL by giving developers access to Apollo Studio’s Explorer and Schema tools, without requiring any additional setup in code. These tools provide several benefits to GraphQL developers. They increase developer productivity by providing powerful tools for query writing. They increase the discoverability of what’s in the data graph by providing advanced ways to browse and search GraphQL schema. They increase the general accessibility of the graph to your organization, by making data queryable even to team members who are not developers.

Development Graphs are a convenient tool for connecting local servers or any development environment to Apollo Studio by updating a user’s schema in real-time and providing a private sandbox. The developer tools that comprise Apollo Studio, especially Explorer, a full query writing IDE, simplify the process of building and executing queries against running servers, including a point-and-click interface for exploring schemas and tools that ease and accelerate the process of authoring and running live queries.

https://www.apollographql.com/blog/apollo-studio-a-graphql-ide-for-every-environment/

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Gilbane Advisor 6-9-21 — stacks & aggregation, JavaScript for data, news
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