Need new ways to add value that will delight your customers?
Contact us today and take the right first steps!
In response to growing demand, we've introduced three workshop/seminars to assist
new adopters of AI and Semantics in taking the right first steps...
1. Want to learn how to source and prepare data, information and 'know-how' for AI applications?
Data Audit: AI Readiness Workshop/Seminars examine the sources of structured data, text and video/audio you will need for your intended AI applications, including the essential specialist 'know-how' that needs to be captured in the AI configuration that's particular to your organisation. Outputs include a Data Normalisation Plan, a Knowledge Capture Plan and new skills and resources your organisation will need to successfully configure and operate its AI applications.
2. Need help identifying how these smart technologies would enable you to find new ways of engaging with your external and internal customers and adding value that will delight them?
Business Analysis Workshop/Seminars examine the functions your organisation carries out and quickly identify a prioritised list of which AI-powered applications you should consider first. Outputs include an outline business case and indicative costing.
3. Already chosen how you want to engage and add value with AI-powered applications, and need to map out user scenarios, storyboards and project plan?
Pre-Definition Workshop/Seminars help identify and record user tasks and interactions with the system, functions the system needs to perform, and what needs to be displayed to users. Documentation includes descriptive user scenarios or use cases, graphically illustrated storyboards, and a high-level project plan that sets out timescales for proof-of-concept development and release of subsequent phases.
FREE - NEW White Paper
"AI is driving business-critical decision making"
Machine Learning (ML) continues to feature prominently in
business publications and the general press, usually under the broad banner
of Artificial Intelligence (AI).
Many executives have attended conferences, seminars and training courses on the subject, and receive a continual stream of ML-based promotional material. As a result they have a good understanding of the potential benefits that ML might bring to their organisation. Their expectation is that ML is coming their way and that it will form an essential part of their future operations.
Our new White Paper looks at how organisations can lower costs, grow revenue and delight customers by getting the best out of AI. It sets out the key issues you face in setting up a Machine Learning solution, and how an Intelligent Expert System (IES) will speed the availability of essential quantitative and qualitative training data, and independently-sourced validation and testing datasets for a Machine Learning solution.
In doing so, the paper highlights the advantage over other solutions that the combination of IES and ML has of offering two sources of knowledge and expertise - two systems coming from different directions altogether, but attacking the same problem and producing a far better quality decision.
To ensure the success of those organisations contemplating the adoption of AI, we strongly recommend that the right first steps begin with a selection of workshop/seminars that deal with Data and Organisational Audit, Business Analysis and Project Pre-definition.
We've been working with customers and their suppliers
to configure advanced smart solutions. The sessions are
based on collaboratively developing their mutual
understanding of the expertise and experience each
uses and identifying where value can be added.
The concept of customer's customer can also work with internal customers and suppliers too of course.
Keeping sight on what your customer values will keep you at the top of their agenda.
For those who want to find out more about Knowledge Technologies or the steps involved in capturing, structuring and publishing knowledge, have a look at these two reference books written by Dr Nick Milton, Chief Knowledge Architect at Tacit Connexions.
Meeting the new digital imperative - integrating AI and Knowledge Systems to mobilise expertise, information and data
Our specialist software tools and techniques provide for richer and more intelligent uses of Information Technology:
* Supporting complex, collaborative processes that include the capture of rationale, improved decision making and the sharing and application of lessons learned
* Transforming information search and retrieval using contextual information
* Preserving and mobilising the experience, understanding, insight and learning of your experts
Speed the completion of complex individual or collaborative tasks — and at the same time drive up the re-use of existing information and the return on current IT investments
Smart Wikis™ provide integrated collaborative working environments that anticipate each user's personal information needs and surround that user with seamless and non-obtrusive forms of assistance.
They're a kind of Expert System that combines Artificial Intelligence and knowledge concepts with your existing IT and supports all types of desktop and mobile devices.
Intelligent Decision Support
Even the most experienced decision maker can benefit from the recommendations of an expert system
What to do when 'xxx' happens?... What's the best plan?... Is my decision correct?... Intelligent Decision Support systems are continuously updated with the latest, most accurate and complete information and generate expert recommended responses in real time to these and other complex questions. In high-risk, pressurised environments, the system reduces operator stress levels by performing vital tasks when extra support is needed.Read more
Adaptive Recursive Process Support
Set up and manage all those complex processes that are so variable your usual software can't handle them
One of a new class of intelligent, high performance knowledge-based software that combines AI with process modelling, execution and reporting. This increases process visibility and control in work management situations where the process itself is recursive and needs to adapt to the impact of real-world changes on the fly.Contact us for more details
Preserving and mobilising know-how
Retain and mobilise high-value experience, understanding, and insight as a critical success factor for your knowledge-intensive organisation
80% of the real value of peoples' know-how lies in their tacit knowledge.
This deep expertise is not consciously available to an expert to describe or write down. Our knowledge engineers identify and extract only the most relevant, high-value segments of expert knowledge - and train your people to do this for themselves.
Advanced added-value services
Work closer and get to know what your customers and suppliers value
It's true that most value can be added by looking closely at the supplier - customer experience and providing better ways for those interactions to happen. Our Smart Systems provide all parties with the joint platform they need to configure new added-value services from which all can gain.
Examples include: New Ideas Lab for exploring what's valued, what's missing, or what's not required in next generation product and service concepts; 'Voice of the Customer' Community of Interest management; Collaborative Design to gather feedback on how products work in the operational environment; Transforming sales from profitability per product or service to added vaue per customer; Training Material Selection and Performance Assessment for different user groups - executive, operator or maintainer; Regulation and Compliance requirements by industry to inform different levels of user.
Knowledge Engineering Tools PCPACK6 Software
Liberate the value in your expertise by making it actionable
80% of the real value of your peoples' expertise is unexpressed. It's known as tacit knowledge, and embraces a vital aspect of everyone's daily working practice involving the most relevant and up-to-date knowledge required for optimal task performance, the location of explicit knowledge hidden in documents and systems, and it represents what really happens - and what should happen - in other words 'best practice'.
Tacit knowledge is deep knowledge not consciously available to the owner. Hence it's difficult for an individual to describe or write down. It requires the support of a specialist trained in knowledge capture and the software tools to structure and publish the meaning and relationships of the knowledge gathered.
Only when it's available in a format that both humans and computers can understand can its full value can be realised by putting it to work.