Komprise announced Komprise Smart Data Workflows, a systematic process to discover relevant file and object data across cloud, edge and on-premises datacenters and feed data in native format to AI and machine learning (ML) tools and data lakes.
Komprise has expanded Deep Analytics Actions to include copy and confine operations based on Deep Analytics queries, added the ability to execute external functions such as running natural language processing functions via API and expanded global tagging and search to support these workflows. Komprise Smart Data Workflows allow you to define and execute a process with as many of these steps needed in any sequence, including external functions at the edge, datacenter or cloud. Komprise Global File Index and Smart Data Workflows together reduce the time it takes to find, enrich and move the right unstructured data. Komprise Smart Data Workflows are relevant across many sectors. Here’s an example from the pharmaceutical industry.
Finch Computing, developers of real-time natural language processing solution Finch for Text, announced that it has added relationship extraction and co-references to the product. Relationship extraction gives users an ability to decipher relationships between entities, and co-reference enables words like “her” or “him” or “the leader” appearing in text to be resolved to a specific, named entity.
Finch for Text can now find important relationships between entities such as: Acquired-by, Co-Investor-with, Competitor-with, Customer-of, Director-of, Educated-at, Employer-of, Founder-of, Invested-in, Organization-Location, Owner-of, Partner-of, Person-Location, Relative-of, and Subsidiary-of. For companies and people in particular, understanding these connections helps users perform faster, richer and deeper analysis.
Entity co-reference refers to the ability to resolve otherwise obscure references to an entity – like her, him, the company, the product – to a disambiguated entity. The value of this capability is that it helps users understand all mentions of an entity even if that mention isn’t by name. It improves salience scores because the product can better gauge how much an article is about a given entity. It also improves sentiment scores with more mentions to analyze, and the same is true for relationship extraction – there are more relationships discovered because there are more mentions linked to an entity.
Franz Inc., an early innovator in Artificial Intelligence (AI) and supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, announced AllegroGraph 7.3, with enhanced GraphQL query capabilities for distributed Knowledge Graphs and Enterprise Data Fabrics. With AllegroGraph’s GraphQL APIs, developers can create performant and more complex data-driven applications. GraphQL’s capability to fetch the exact and specific data in a single request delivers flexibility to Knowledge Graph developers.
AllegroGraph’s GraphQL Support GraphQL is an open-source data query language for APIs and a runtime for fulfilling queries with data. It allows API clients to query data as a graph irrespective of how the data is stored, making it possible to loosely couple data sources with client applications. GraphQL provides a complete and understandable description of the data in the API, gives clients the power to ask for exactly what they need and nothing more, and makes it easier to evolve APIs over time. Using GraphQL APIs within AllegroGraph can lower integration costs and minimize redundancy in enterprise systems, while improving the value of data-driven applications. AllegroGraph 7.3 is immediately available directly from Franz Inc.
https://franz.com ■ https://allegrograph.com
MerlinOne announced it is now possible to search across your entire video collection to find just the right bit of content you are looking for, simply by describing it. NOMAD for Video from MerlinOne takes you there with no additional effort required.
For most video searching you can only search for a filename; or in some systems, search by words spoken in the video. But many scenes have no narrative: how do you search for a kissing scene, or a car chase, or the sequence when the skier your company sponsors catches air going downhill while wearing your branded skis?
MerlinOne targeted this problem, recognizing it as critical for Digital Asset Management (DAM) and other applications. After five years of effort in AI, we have developed a solution. Two examples NOMAD for Video solves for you are:
- Want to find the clip of your CEO with your company branding in the background?
- Want to show a friend your favorite scene in a movie right now (no fumbling, no talking to stall while you frantically search)?
NOMAD for Video is an option in MerlinOne’s DAM system and is also available via API as a service to add this functionality to other systems.
From the Google Products Blog…
… today we’ve added 24 languages to Translate, now supporting a total of 133 used around the globe.
Over 300 million people speak these newly added languages — like Mizo, used by around 800,000 people in the far northeast of India, and Lingala, used by over 45 million people across Central Africa. As part of this update, Indigenous languages of the Americas (Quechua, Guarani and Aymara) and an English dialect (Sierra Leonean Krio) have also been added to Translate for the first time.
This is also a technical milestone for Google Translate. These are the first languages we’ve added using Zero-Shot Machine Translation, where a machine learning model only sees monolingual text — meaning, it learns to translate into another language without ever seeing an example. While this technology is impressive, it isn’t perfect. And we’ll keep improving these models to deliver the same experience you’re used to with a Spanish or German translation, for example. If you want to dig into the technical details, check out our Google AI blog post and research paper.
Acquia, the digital experience company, announced it has expanded its Authority to Operate (ATO) under the Federal Risk and Authorization Management Program (FedRAMP) managed by the U.S. General Services Administration. The expansion boosts Acquia’s status as a provider of cloud services for creating and deploying digital experiences based on Drupal to meet the U.S. government’s requirements for security and protection of federal information.
Since 2016, FedRAMP certification has applied to federal customers using Acquia Cloud Platform for hosting and managing Drupal applications and Site Factory for multi-site management. The company has now added Acquia Site Studio, along with the latest versions of Acquia Search with Solr 7 and Acquia Platform Email capabilities to the FedRAMP boundary. FedRAMP is a U.S. government-wide program that takes a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. The FedRAMP framework adheres to the requirements of federal, state, and local government as well as highly regulated industries such as financial services and life sciences that demand strict security protocols for their IT properties.
Acquia’s information security program helps to ensure customers operate in a cloud environment that complies with a wide array of industry standards and regulations, including ISO 27001, HIPAA, SSAE16/SOC 1/ISAE-3402, SOC 2, and PCI-DSS.
TeamViewer, a global provider of remote connectivity and workplace digitalization solutions, announced the integration of its enterprise Augmented Reality (AR) platform, Frontline, with the SAP Extended Warehouse Management (SAP EWM) application. With TeamViewer Frontline Augmented Reality, an SAP endorsed app from TeamViewer and part of SAP’s industry cloud portfolio, customers can further enhance their logistics processes in SAP EWM and empower their workforce with AR-based vision picking that helps to increase productivity and create more efficient processes across their entire warehouse and logistics operations.
The integration with Frontline and SAP EWM enables businesses to directly connect warehouse and logistics workers in real-time with the critical data and information they need to perform their tasks. The AR-based workflows provide step-by-step instructions to workers on smart glasses and wearable devices that enable them to work hands-free, improving pick rates by an average of 10-15 percent and dropping error rates close to zero. At the same time, new data insights are passed back into the SAP EWM application right at the point of work to enable continual process validation and optimization that can drive significant cost savings.
Searchable.ai announced Constellation, their unified data platform that brings together all the data and information that knowledge workers and teams need in one place. While Searchable.ai initially focused on unifying data and information from files, such as those created with Microsoft Office and Google Workspace apps, as well as PDFs, Constellation makes it possible to unify user-inputted SaaS data. Structured information from Jira tickets and Trello cards, for example, as well as conversations in apps like Slack, can now be searchable and shareable. Additionally, Constellation’s Live Sync technology means data is constantly being updated and refreshed, so users always have access to the latest information.
Constellation supports an unlimited amount of data and is engineered with enterprise-grade security. Eventually, Searchable.ai will enable developers to access the Constellation framework for their own apps and services, including corporations who may want to ingest this data into their own repositories.
For now, Searchable.ai will leverage Constellation to extend its end-user capabilities beyond search. The company will soon be releasing Collections, a way for users to assemble groups of files, email, and cloud data in a central space where others can add, find, and access what they need for their work.