At CSTS Semion, we believe that we're at the cusp of a cognitive computing revolution. Tasks and processes that were once impossible or the sole domain of human experts will become increasingly within reach of computer systems. We're experts in this emerging field and have a suite of technologies to prove it. Our business is to customize the power of cognitive automation to serve your business needs.
One size does not fit all. The field of artificial intelligence is awash with jargon and conflicting advice. We provide expertise in implementing and customizing a variety of artificial intelligence technology based solutions, but more importantly we help organizations better understand which technologies are appropriate for their particular problems and how they should be deployed for maximum benefit.
More than just a technology company,we understand that technology does not exist in a vacuum, but is realized in complex socio-technical systems. Indeed, the success of any project is intimately tied to the social environment in which it unfolds. As a successful solution provider, we design for these socio-technical systems, making the best possible use of the strengths of the individuals, teams and technologies involved.
Contact us today to find out what we have to offer for you and your business
How We Work
We build complex socio-technical systems (CSTS) to address knowledge process needs for our customers. A complex socio-technical system (CSTS) describes a system that includes technological, social, and organizational considerations and how they interact with one another.
A process is a complex socio-technical system (CSTS) that occurs over a duration of time. It is performed by one or more agents employing a variety of communicative acts and transformational activities (physically creating something or inferring knowledge). Moreover, for virtually any process, there is an input knowledge flow that is routed to various sub-processes, agents (effectively sub CSTS') which then communicate and transform this knowledge (or create physical objects). At the conclusion of any process is a knowledge artifact which contains key information on how the given process was successfully completed. Sometimes the knowledge artifact is itself the main output, other times the knowledge artifact supports a variety of physical things (i.e. imagine a manufacturing process). We use Process Specification Language ontology (PSL) to map out processes and generalize.
In this CST environment, there are a set of specific high level needs (functional processes) as articulated by the organization. Our goal is to build a product which is not simply a software tool, but becomes part of the underlying complex socio-technical system. Specifically, we’re creating a novel CSTS (perhaps derivative or a refinement of an existing one) and making sure that it fits into the pre-existing CSTS.
We are taking a process that is already realized (perhaps inefficiently) in this CSTS, and making it better and more productive through the use of a variety of AI technologies. “Making it better / more productive” means, among other things: increasing the capacity of one or more agents, allowing new types of information and inferences to be made, reducing the time of the process, automating lower value transformations, etc.
Semiotica Technology Suite
We developed a technology toolkit specifically for handling complexity, big data and knowledge engineering. The Semiotica Technology Suite combines the best of what the Artificial Intelligence community has to offer, and brings them together to tackle today's business problems.
The Semiotica Technology Suite tackles the problems that businesses face today. It extracts meaningful information from vast amounts of data and translates that information into usable knowledge expressed in a business' own terms. Our unique set of technologies allows organizations to detect patterns in large datasets, extract key information from natural language sources, and replicate human understanding in a given field.
We've designed the Semiotica Suite for the problems faced by businesses today. Big data is the norm, not the exception; our algorithms can handle anything you throw at them.
Is your data structured? If it is, we're already halfway there, but that's often just not the case anymore. There's an enormous amount of valuable information trapped in unstructured and plain text sources. We can help you transform it into a searchable, comprehensible, and summarized form.
Do you often find yourself searching all over the place for the information that you need right now? The prices are in the pricing data base, but the customization options are in the spreadsheet, oh, but I need to log onto this legacy system to get the ID numbers of the parts... There's no excuse for so much wasted effort in an information economy. Our solutions can help you aggregate all of the information you need to perform a particular task into one place. No more scavenging.
Our machine learning tools help you to find the meaning in reams of data. We're constantly adding new technologies to our toolkit, and have built up expertise in customizing algorithms to fit your needs and get the right information to the right person when it's needed. But machine learning isn't just for extracting information that you know is there but don't have the time to search for, it's capable of finding information you didn't even know you had. As data accumulates, our sophisticated statistical methods can detect new patterns in and relations between your business operations. Are you doing redundant work? Is there a shortcut that no one's spotted yet? It's all in the data, and we can help you get it out.
Our Knowledge Representation toolkit allows our systems to engage people at a cognitive level, by giving the computer access to some of the relevant background knowledge of the domain. This equips our systems with the capability of behaving as an intelligent assistant that can make the same types of inferences (and more) as experts in the field. In a world of increasing complexity and employee uncertainty, this allows organizations to retain knowledge and build a computational model of their domain, enabling new value propositions.
Keep in mind that the above is just a demonstration of what's possible. Every problem is unique and so should be every solution. Contact us to find out what we can do to help you and your business.
Why We're Different
At CSTS Semion we know that what we offer is unique.
Most solution providers have an existing set of products. Each of these products is well and good in its own right for a given problem, but since the focus is on selling existing products instead of building new ones, there's a strong incentive for the average provider to try and squeeze your problem into the mold of an existing solution. Obviously your results may vary with such an approach. In contrast, we provide hand crafted solutions combining the best machine learning and knowledge representation technologies for your current needs. We're interested in helping you build smarter systems to realize the maximum value that today's technologies have to offer. Moreover, we're constantly on the lookout for new, practical artificial intelligence technologies. The literature in any field is years ahead of common practice, so we spend a large amount of our time scouring the literature and building practical, cutting edge algorithms. We're not limited to just one or two artificial intelligence approaches, but have a large toolkit of technologies from which we can pick the optimal combination for your specific needs. Most importantly, we think holistically about your business needs. We know that technology alone is not a solution. A viable solution needs to take into account the complex social and technical environments in which it will be deployed. Our expertise is equally in understanding the sociological components that make technologies succeed as in the technology itself.
What We Can Do For You
Many advanced technology projects do not reach their full potential because the underlying technologies have not been properly understood or deployed.
Occasionally, the culture in which the technology solution is being deployed is unready and not a proper fit. At CSTS Semion, we’re committed to helping you understand the exact right mix of technologies that are appropriate, and how to deploy them in your specific organization.
In general, our technologies are well suited to help your business:
- Detect patterns in large data sets
- Extract information from text, video or audio
- Build computational knowledge models
- Retain and disseminate vital domain knowledge
- Automate difficult workflows
- Develop novel capabilities
Below, we provide some example contexts in which our technologies have been deployed.
Use case: Example 1
Company A has a team of people who continually monitor select data sources consisting of databases but also natural language documents. Using their in-depth knowledge of the business, these skilled employees are looking to update some internal databases, while also preparing reports for their colleagues. Each day, they need to read large numbers of documents, looking to see if any pertinent information has been published, and make changes accordingly.
While effective, skilled employees are costly, and it would not be an easy proposition to grow the team. Moreover, the loss of an employee could represent a setback for the company, requiring lengthy training and making knowledge retention a key driver for the company.
The Semiotica Technology Suite would allow you to automate a good portion of this effort, allowing you the flexibility of monitoring more datasets, freeing up your team to work on more engaging problems - ultimately allowing the team to handle a higher volume of information and better quality work by improving their efficiency and effectiveness. The development of a custom knowledge model also means that vital domain knowledge is not inaccessible in the head of individuals, but made available to key players in your organization.
Use case: Example 2
You are a company that is looking for ways to integrate research findings across disciplines. You have many researchers in multiple departments, each with its own specialized language. Integration of knowledge and findings across the departments is stifled since keyword search does not work (differing language), and the problem is further compounded by departure of many key researchers (retirement, re-organization, etc.)
We can help you build an interdisciplinary computational knowledge model focused on the requirements of integrating the knowledge from the disparate departments. Most R&D data is findable without needing to know the specialized dialect of each subdomain.