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

Category: Computing & data (Page 74 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.

Nuxeo unveils low-code user interface to open AI to business users

Nuxeo announced a new, low-code user interface (UI) for Nuxeo Insight, its artificial intelligence (AI) service that enables companies to use their own data and content to train custom machine learning (ML) models. The new interface allows business users to easily create, train, deploy and administer personalised machine learning models. The interface offers a guided point-and-click experience, and users can also deploy and administer these models in production use cases. Nuxeo’s new user experience walks users through the step-by-step process of training and deploying customer machine learning models:

  • Select the various values and data types they want the new model to populate
  • Apply different parameters for predictions
  • Select the appropriate content and data for successful model training
  • Perform any necessary renditions or transformations

Nuxeo Insight’s new UI includes a dashboard that provides real-time updates on the training process and outcomes. It also enables organisations to administer their custom ML models, allowing them to quickly promote new models into production and to actively monitor the performance of their models over time. With the new UI, users can compare the performance of different ML models or different versions of the same model. The overall goal is to provide an intuitive, easy-to-use environment that enables Nuxeo customers to continuously improve the performance of their ML models.

https://www.nuxeo.com

pCloud now lets users decide where their files are stored

pCloud is giving users the opportunity to select location of their data. This will give users greater control over the security of their files. Once the choice of where to store the data is made during registration – in the US or Europe – it is practically impossible to transfer them without the user’s knowledge or permission. Currently, the option to select the server location is available only to newly registered users. The company is developing the option to change the storage location for existing users and it will be available very soon.

The company has recently added a data centre in Luxembourg, meeting the needs of consumers and businesses even in the most regulated sectors in terms of consumer data protection and information security. pCloud’s new European data center is certified to SSAE 16 SOC 2, Type II standard. In addition, pCloud meets standards such as ISO 9001: 2015 (Quality Management Systems) and ISO 27001: 2013 (Information Security Management Systems). When using the pCloud service, user data is transferred via TLS / SSL protocols, which provide data protection during transmission.

https://www.pcloud.com/data-regions/

Informatica launches collaborative technology initiative with The ADAPT Centre

Informatica announced a collaborative technology initiative with The ADAPT Centre, a Science Foundation Ireland (SFI) Research Centre for Digital Media Technology. The ADAPT Centre, funded by SFI, focuses on developing next-generation digital technologies that transform how people communicate by helping to analyze, personalize and deliver digital data more effectively. Informatica’s R&D team collaborate with ADAPT to leverage its applied research in Artificial Intelligence (AI) and Natural Language Processing (NLP) to accelerate the application of AI and Machine Learning (ML) to automate Informatica’s enterprise cloud data management offerings. Organisations are increasingly leveraging extremely large data sets to inform business decisions but have a range of obligations under regulations like The General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), making data management even more complex. Informatica’s engineers have already developed many AI and ML capabilities as part of the Informatica CLAIRE engine to help customers use data effectively for their analytics, data governance and privacy, and customer experience (CX) needs.

https://www.informatica.com

Obie launches Browser extension to accelerate sharing of workplace documents

Obie announced the launch of its new browser extension to democratize access to Obie’s core search, access, and knowledge sharing functionality. They also launched Personal Pro and Personal Free plans that decouple Obie’s search functionality from Slack for the first time to expand availability for individuals and remote teams. Obie uses natural language processing (NLP) to understand complex queries, as well as machine learning (ML) to improve results with every document search. Users can also manually add “FAQs” to store templates, text snippets, and frequently accessed information by simply highlighting the information in their browser and adding it to Obie.

https://obie.ai

Amazon Web Services unveils space business segment

Amazon Web Services (AWS) announced it is introducing a new business segment dedicated to accelerating innovation in the global aerospace and satellite industry. The Aerospace and Satellite Solutions business segment will bring AWS services and solutions to the space enterprise, and work with customers and partners around the world to: reimagine space system architectures, transform space enterprises, launch new services that process space data on Earth and in orbit, and provide cloud solutions to support government missions and companies advancing space around the world. Retired Air Force Major General Clint Crosier, former director of Space Force Planning at the U.S. Space Force, is the leader of this new business segment.

AWS Ground Station helps customers communicate with satellites, and to downlink, process, and distribute satellite data within minutes of capture. AWS Ground Station, a fully managed service that provides satellite owners and operators global access to their space workloads, offers a hint of what these innovative solutions can look like. Enabling customers to downlink data and provide satellite commands across multiple regions with speed and agility—and at a low cost—means satellite operators don’t have to own and manage duplicative ground station infrastructure. AWS Ground Station is already being used by NASA’s Jet Propulsion Lab (JPL) and other customers.

https://blog.aboutamazon.com/

Serviceaide introduces Luma Knowledge

Serviceaide, Inc., a provider of intelligent, enterprise service management solutions, announced the launch of Luma Knowledge, a self-learning, knowledge-centered product that optimizes access, creation and reuse of enterprise knowledge to service and support needs of users and customers. The maker of the AI-powered Luma Virtual Agent, Serviceaide is leveraging AI technologies like natural language processing and machine learning in digital interactions, knowledge and automation to bring advanced capabilities and business value to service and support functions across the enterprise. Features and capabilities:

  • The Luma Knowledge hub provides a common tool to actively correlate and access information federated across the enterprise.
  • Luma Knowledge offers a common semantic pathway to all enterprise knowledge.
  • Natural Language Processing auto extracts topics and pulls text from complex documents to auto-create FAQs. 
  • A dynamic guided search capability, based on available knowledge, helps users access the right information even when they don’t know exactly what to ask for, and don’t know what is in the knowledge base.
  • Automated learning leverages machine learning to auto-tune retrievals and identify missing content or other related issues.
  • Knowledge Sharing – Federating across multiple knowledge bases, semantic searches and guiding requests deliver accurate knowledge
  • Knowledge Discovery – Proactively discovering knowledge both inside an organization and from external sources
  • Knowledge Improvement – Continuous monitoring of knowledge and feedback to provide recommendations for needed knowledge, correcting knowledge and searches, and retiring unused knowledge

https://serviceaide.com

Databricks introduces Delta Engine and acquires Redash

Databricks announced the availability of Delta Engine and the acquisition of Redash. These new capabilities make it faster and easier for data teams to use its Unified Data Analytics platform for data science, machine learning, and a broad range of data analytics use cases. Delta Engine is a high-performance query engine on cloud data lakes and Redash is an open-source dashboarding and visualization service for data scientists and analysts to do data exploration.

Delta Engine is tailored for use with Delta Lake, the open-source structured transaction layer for data lakes. Organizations can now build curated data lakes that include structured and semi-structured data and run all their analytics on high quality, fresh data in the cloud. Databricks acquired Redash, the company behind the successful Redash open source project, to provide easy-to-use dashboarding and visualization capabilities on these curated data lakes. With Redash, data scientists and SQL analysts can eliminate the complexity of moving data into other systems for analysis.

The open source Redash project was created to help data teams make sense of their data. Data scientists and SQL analysts can easily gather a wide variety of data sources, including operational databases, data lakes, and Delta Lake, into thematic dashboards. The results can be visualized in a wide variety of formats like charts, cohorts, and funnels, and are easily shareable across an organization or with external users. Redash can be used with Databricks today using a free connector, and Redash will be fully integrated into Databricks’ Unified Data Analytics Platform and the Databricks workspace in the coming months and take advantage of capabilities like Delta Engine.

https://databricks.com/

iManage Delivers AI and Knowledge Management to Document Management Users

iManage announced the availability of iManage RAVN Knowledge Unlocked. With Knowledge Unlocked, iManage has productized Knowledge Management and RAVN AI, making them accessible to a broader market through packaged solutions that are easy to deploy and use, and integrated with their document and email management product, iManage Work 10. iManage enables law firms, legal departments, and professional services organizations of any size to use AI with Work 10 plug-ins that minimize the need for dedicated Knowledge Management (KM) staff, AI expertise, or outside services. IT-implemented and user-driven, Knowledge Unlocked enables knowledge workers to capture and reuse important data locked in data repositories, mine best practices, and identify knowledge and experts across their organizations to get to the information they need, when they need it.

Knowledge Unlocked brings together various KM and AI capabilities – including classification, search, and machine learning – in an integrated package, taking what would previously have been individual products and combining them to solve specific KM problems with greater efficiency. The solution extends the document retrieval-oriented search of Work 10 to knowledge search that enables organizations to surface relevant matters, clauses, people or expertise that could be of value to the user.

Knowledge Unlocked is available in three editions – Essentials, Professional, and Enterprise – each with an increasing level of capability and sophistication. The tiers have been designed so that organizations don’t have to go through expensive system replacement to get to the next level in AI – they can continue to build upon Knowledge Unlocked.

https://imanage.com/

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