Here at Filament we’ve developed a dedicated framework for incorporating Machine Learning models into dashboards. We call it Filament Dash.

Dash Services


We have deep experience solving defined business problems across a range of industries. Often, those solutions have involved dashboards: applications perfect for combining machine learning with a range of other data sources. Dashboards also allow users to manage what they see and interact with their colleagues.

Leveraging that experience, we’ve developed Filament Dash, a development framework dedicated to discovery and decision dashboards. Filament Dash is designed to knit data and analysis into an intuitive user experience. Our solutions allow human and machine to work seamlessly.

Strategic Consulting


We would like to ultimately see ourselves as external members of your team. Our hope is to become a trusted company that can help advise and upskill your company to become one that is leading in the AI Space and exchange the skills needed for you to create your own AI capability. We do this through multiple levels of AI education, from c-suite courses, through to business and developer level courses.

“The Dash Framework is a set of methodologies, processes and Filament managed open source components that we use for dashboard delivery projects. This delivery framework includes how we apply project management, user experience design, technical planning and delivery of discovery solutions.”

— Martin Pomeroy, VP Technical Solutions, Filament

Why Dash?

From private equity to fund management to pharmaceutical research, our dashboards enhance the efficacy of knowledge workers in your business.

Ingestion

A smarter way to collect data from various sources, internal and external.

In order to easily add new sources for ingestion over time, we integrate our workflow engine (Built on IBM’s open source Node-Red programming tool from our product ‘Engine’). This tool allows business users to add content from multiple sources, such as APIs, RSS feeds, social channels and email/document repositories.

Machine Learning Algorithms

Machine learning allows your organisation to organise that data into a rich knowledge graph or ontology.

Dash incorporates a number of custom and existing ML algorithms in order to extract data from ingested content and provide investigative support to the research teams. These algorithms include entity extraction, topic-based modelling and clustering, resulting in “Smart Search” functionality.

Platform & Search Index

A company’s intranet is typically a trove of information but typically can’t be “googled”. Our Dashboards solve that core knowledge management challenge.

The core element of the solution is used to serve and populate the user interface, as well as handling all the authentication, user management and APIs. The search index is responsible for storing an index of all the data that is ingested.

Our Delivery Process

Discovery

We first work with you to establish the purpose of the dashboard. We will then advise on the technologies to leverage and how to deploy the solution. We will also put together technical documentation during this phase. We decide with data; not assumptions. Analytics data, user testing and workshops allow us to understand your audience and their needs.

User Experience Design & UI

We separate the content and the interaction into a blueprint of your requirements. We prototype quickly and iteratively to make sure we get everything just right. We then bring the platform to life with your brands look-and-feel. The visual design is where we provide the creativity and the style that will make your solution a delight to use.

Dash Development

We then develop the dashboard using our Dash Framework in line with requirements laid out during the discovery, UI & UX phases.

Testing

We test the solution in a number of different ways, from user experience objectives through to the stability of the system on the hardware that it’s deployed on and to the scale at which it will be required to function.

Deployment & Support

Once the solution is approved, we will deploy it to the production server and we will actively monitor it in the crucial post-launch phase. We respond quickly to make any tweaks that are needed.

Continuous Improvement

Our dashboards generate analytics data on what your organisation is focusing on, to discover gaps and opportunities to improve the system.

Use Cases

Financial Advisory

Custom ML models can be used to make recommendations to wealth and financial advisors, enabling them to scale their expertise and increase client engagement. Investment recommendations can be personalised to clients and customised based on real-time market data.

Financial Services

AI process automation can be applied to document-heavy parts of Finance. Natural language processing (NLP) techniques can be applied to sift through thousands of commercial loan contracts in seconds, compared with the number of days it would take for lawyers and loan officers to review the contracts.

Healthcare & Pharmaceuticals

NLP techniques such as entity extraction and text classification can be applied to drug discovery research. NLP can be used to extract value from unstructured text data, such as reported adverse side effects, by transforming it into actionable insight for R&D based decisions.

Legal

NLP techniques can be used to help lawyers get consolidated answers to questions, instead of trawling through thousands of legal documents. It can also be used to track changes to relevant policies and government legislation.

Facilities Management

Machine Learning (ML) techniques can be used to identify opportunities to improve the sustainability of buildings. ML models can be trained on IoT data to suggest opportunities for cost and energy savings.

Telecommunications

The power of AI can be harnessed to automate customer service enquiries by routing customers to the relevant agent and routing prospects with buying intent directly to sales personnel, thereby improving customer satisfaction.

We're ready for a challenge.

Get in touch with us if you would like to discuss how AI can be utilised in your organisation