Domain expertise. Policy and business strategy. Novel AI/big data tools. All in one place.
We work together with you to identify the problem at hand, help you formulate the right questions, scout for the right data, whether this is inside your organisation or open data outside, transform it to actionable processes
Big data and AI in support of decision making: The path into taking the right decision in policy or in business is not always straightforward. The use of big data has infiltrated our world and new technologies open a window of opportunities. But these are also loaded with uncertainty and serendipity as they need to be tailored to the problem at hand, and also be tested and verified by human knowldege and expertise.
Human-in-the-loop: Our team combines Artificial Intelligence and domain expertise to build tools that embed our experts' knowledge in the technology (after all, NLP and Machnice Learning do what we tell them to do), and include human interaction checkpoints for validation and adaptation (learning).
We tackle the issue to understand how to best approach it. With our expertise and partners we are able to apply qualitative and quantitative methodologies, complementing each other where necessary.
When data enters the picture, we explore ways on how your organisation's data or data from other sources can be used to extract information and derive knowledge, how it can be connected, and present a targeted AI-assisted solution. Always by applying our tools for cleaning and merging, while ensuring GDPR compliance and privacy.
by embedding domain knowledge and expertise that comes from our team and your needs in our AI tools; by using big data mechanisms / graph analysis to make inferences otherwise hidden due to volume of data; by applying customised and interactive visualisations to be able to detect the patterns, trends, anomalies.
The models are fed into OPIX tools and systems that embed specialised algorithmic and interaction logic that is particular to public policy and business strategy consulting. Knowledge and insights are extracted and visualised appropriately to convey the hidden “data messages” for evidence-based decision making. Examples include various metrics and indicators, trends analysis, and others.