‍Soffos™ is proud to champion an emerging and exciting new concept gaining popularity amongst educational technologists, that of an organization’s or a person’s Wisdom Quotient™ (WQ™).

Complex algorithms determine the WQ™ as a performance barometer. Ranging between 50 (poor) and 150 (stellar), it balances the overall amount of knowledge held, accessibility, collective (workforce) skills and knowledge transfer behaviors, all of which determine the strength of a company's or a person’s WQ™.  Anyone's own individual WQ™ can also be carried with them throughout their career, as part of a CV.  It is a metric that will soon be recognized as widely as an IQ score, an invaluable tool to assist employers in recruitment decisions etc.‍

Yes, and that is really the point. But as soon as employees comply with Soffos’ mandatory requests, then they won’t be asked about them again. Those employees who can’t be bothered to demonstrate that they know about mandatory content will be pestered mercilessly, without apology. If it’s the law to know about and follow workplace regulations, that’s an inconvenient but necessary truth for the workforce as a whole.

Yes, users’ feedback can be used to increase the accuracy or detail of Soffos’ answers.

Obviously, any Software product will have pros and cons, and employees will feedback to managers, who in turn may upload additional knowledge to the system or feedback to Soffos engineers with ongoing improvement suggestions.  But on a day-to-day basis, the answers that Soffos gives will be succinct, approved and correct.

As Soffos is still in Beta, selected users only are being provided with Beta level software, and are not paying anything in return for their assistance and feedback. However, when the full version of Soffos is launched, it will become a SaaS product on an affordable $ per month / per user / seat license basis.

Just as it is every manager’s responsibility to ensure that all policy documentation and regulatory policies and procedures are followed, so it is up to those same people to update the Soffos knowledge system. Also, Soffos will learn from each interaction autonomously, so if a subject isn’t covered that keeps being asked, these questions can be addressed by administrators to ensure that the workforce’s ‘pool of knowledge’ grows ever deeper every day. The reporting metrics of Soffos are an important integral part of its functionality.

So, if the governing trade association of USA welders sends new regulatory information to the head of Engineering at Acme, it is that manager’s responsibility to upload that documentation, delete the previous version and mark the replacement as mandatory. The Soffos knowledge representation system will then ‘overwrite’ that knowledge. It’s no different to a manager sending a team-wide email with an attachment entitled ‘new welding specs for this year’.  The good bit about using Soffos is that every employee doesn’t need to read through the whole attachment, they just ask Soffos about the parts they need to know.  However, date stamps on all file uploads will alert managers to when content was last edited or replaced.

Two-factor log-in and biometric level security protects access at any level from any device. Additionally, information ingested by Soffos is only accessible via the platform and is never stored locally. In the almost impossible scenario of unauthorized access to a Soffos account, the intruder would only be able to access information by interrogating Soffos, and quickly be exposed and locked out.

In fact, no-one who isn’t an administrator can see anyone’s documents, as documents are removed from the system, only spoken and textual ‘knowledge nuggets’ can answer employees’ questions. But the permissions levels and subject corpus access is set by senior management. Some silos will be accessible by everyone, and that decision is made by relevant managers.

Obviously, certain silos, containing certain knowledge, must be confidential and only accessible to senior managers. Just as 100 employees of a corporation wouldn’t be shown each-others’ salary details or corporate account statements in a training classroom, neither does Soffos make that sort of information generally available. Instead, Soffos provides instant accurate answers to policy related information: procedures, products, specifications etc. Soffos tells users the ‘need-to-know stuff’ instantly, 24/7, to get the job done efficiently.

The intricate detail is extremely complex and a patentable secret, but it’s all about the use of algorithms that combine computational linguistics, contextual memory, deep learning.

The AI parses words as input from voice or text from resources, so that it ‘understands’ the relationship between words (as concepts or things) not just by simple keyword association (e.g. car = transport) but by well-defined meta-labels, which refer to relationships between language, concepts, objects and questions from an infinite number of possible (and impossible) relationships. A limited set of relation types are used, using global identifiers with unambiguous denotations.  This is combined with semantic ‘Extraction Transformation and Load’ (ETL) processes from structured databases, forming strong associations and disassociations during the AI’s training.

An example of a Knowledge Graph (KG) to draw upon vast amounts of varied information might be a recommendation system for TV shows, movies, songs and albums from an online entertainment provider, to help find relationships between actors, artistes, titles and series. Later, these relationships can be used to predict what customers might like to watch next, equally such a KG can be used in a corporate knowledge context to answer direct questions.

Let’s say a person watched Star Trek, and wanted recommendations for similar entertainment. A simple keyword database might then suggest ‘Star Wars’, but it wouldn’t ‘understand’ the relationship between the two as sci-fi series, just that they had a common word within their respective titles.

However, if a customer enjoyed the vintage NYPD cop drama series  ‘Hill Street Blues’ and then watched a documentary about Eric Clapton (Life in 12 bars), the knowledge graph could draw on its contextual database to understand both the difference and the association between the two uses of the word ‘blues’ used with a very similar meaning but within a different context (‘12 bar blues’ vs ‘problematic or difficult situations’).

Thus the AI would use its KG to contextualize between the genres of BOTH rock music documentaries AND vintage TV police dramas, whereas a simple keyword association would probably fail hopelessly to provide a meaningful suggestion.

Likewise, in the context of Soffos, the AI would ‘know’ the difference between required criteria for an investment company’s ‘exit strategy requirements’ and the procedure for staff in the event of a fire alarm.

Intentionally, no, documents cannot be shared. Firstly, the content of documentation is absorbed by the knowledge system and the original documents aren’t saved for security purposes. Also, the whole point of Soffos is the elimination of time spent searching through documentation for knowledge. This also obviates the potential for loss and theft of commercially sensitive company information when employees are working remotely. But Soffos can share videos, audio clips and static images to expand upon answers.

In theory, if it’s work-related, then yes. Questions can only be answered if managers have uploaded documentation to be parsed and ‘understood’ by Soffos™, so that Soffos™ can answer with a knowledge nugget, rather than a whole chapter and verse response. For example, if Sarah in sales asks about the dimensions of the X1 widget, Soffos™ will provide a definitive, instant answer. But if Sarah asks whether Jim in accounts is single, and is that Harley Davidson he rides owned outright, she’ll just have to use her charms…