Posted on: December 15, 2020, by: Ann Kelly
The State of Information
Information comes in many forms and sources. Data held in relational datastores - transactional and warehouse - is relatively easy to process as computers can programmatically handle data operations.
Relatively easy to handle is just that, as all enterprises struggle with data quality caused by multiple applications, databases, transformations, and other processes that are part of today’s siloed organization.
The operational dataset is a small subset of the enterprise data universe. To Reveal Smarter Decisions, organizations need access to the full set of data. However, the enterprise data universe is vast, most information is textual, and often external to the organization (i.e. contracts, research, tweets, emails, etc.).
Incorporating this text-based information into the enterprise is complicated. As it arrives, it is reviewed by a human, who manually reads and marks up the necessary data found in the document and encodes it into a database to join the operational dataset. The source document, which is the source of truth, is then stored in a content management system and further marked-up with keywords, retention and security markers, and other identifying information to control and retrieve the document later.
The issues organizations face with this approach - a broad spectrum of different types of information – ranging from structured data to unstructured content are too numerous to list. The root cause is the same; an insufficient amount of high-quality metadata to govern, calibrate, describe, and harmonize the complexity that makes up the concepts, that are the acts of doing business.
Semaphore enables organizations to automate this metadata mark-up process. Using a collaboration between humans, who have the knowledge, and software, that can apply that knowledge, quickly, cheaply, and consistently across all information sources, renders high-quality data from text, regardless of its location or form - to Reveal Smarter Decisions.
Semaphore deciphers, filters, and connects data – structured and unstructured - making it smarter so you can act faster:
Our semantic approach enables organizations to eliminate data and content silos and empower the business to make key decisions with complete information. Semaphore’s semantic capabilities solve the information management problem faster, cost-effectively, and provide higher quality results than traditional approaches.
CEO and Founder, Smartlogic
Semantic AI Enables Transit Authority to Create a National Data Standard
Cities are the center of economic life. More than half the world’s population lives in cities, it’s where we create ideas, exchange knowledge, and interact and connect – they’re the powerhouse of global economies.
The transportation sector is faced with multiple challenges. How the future unfolds depends on the technologies and services consumers and businesses embrace and how policymakers respond.
Transportation authorities must:
Read how one transport agency leveraged the power of Semaphore to develop a data standard that delivers a mature and consistent infrastructure to drive informed transportation asset investment decisions.
Look for Semaphore 5.2 in the New Year
Semaphore 5.2 will be available in the New Year with updates, bug fixes, and security and performance improvements. Publisher permissions will be set at the environment and model level and models can now be cloned for versioning purposes. An intuitive Knowledge Review Tool (KRT) with a redesigned workflow will improve the process for accepting changes to the model. 5.2 will sport a new translation side panel to aid the population of multi-language models and Document Analyzer changes will allow improved viewing of document evidence.
Semaphore Cloud Approved for Azure.gov
Smartlogic’s Semaphore Cloud is approved for hosting in Azure.gov, which provides flexibility and breakthrough innovation for US government agencies and their
For more information, contact your Smartlogic Account Manager.
Smartlogic’s User Community Forum
Our next User Community Forum meeting will be held on Wednesday, January 13th at 11 am Eastern. If you haven’t signed up yet DO IT TODAY – it’s a great opportunity to meet and connect with like-minded Semaphore users to exchange tips, tricks, and best practices with the Semaphore platform and Knowledge Management topics.
Smartlogic Recognized as a Leader in the Gartner Magic Quadrant for Metadata Management Solutions
San Jose, CA, December 7th, 2020. Smartlogic Semaphore Inc. makers of the Semantic AI platform – Semaphore - today announced it has been positioned for the 4th year in a row by Gartner, the world’s leading research and advisory company, as a Leader in the 2020 Magic Quadrant for Metadata Management Solutions. – Read the full press release.
Semaphore Fact Extraction Framework Training
Fact Extraction Framework Training – Begins January 11th, 2021. The last day to register is December 31st, 2020.
2021 Spring and Fall Training Dates Released
The dates for Semaphore end-user and technical training are published. View our events page for courses, dates, and costs.
If you are not sure where to start your training, visit our website training page to view pre-requisites and course information.
To register, email email@example.com or contact your Smartlogic Account Manager.
If you missed our webinar: Semantic Hubs Enhance Search across Knowledge Sources – with Matt Beaugard, Simon Trussler, and Gerard Rebalsky you can listen to the playback recording here.
If you missed Jeremy Bentley’s presentation – Using Semantic AI to Drive Chatbot Experiences - at KMWorld, reach out to KMWorld for information about how you can access all presentations, keynote, and panel discussions.
More webinars are in the works, keep an eye on our events page for announcements and registration information!
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The Smartlogic Team wishes you and yours a happy holiday season!
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