World Bank approached us to research viable use cases of applied artificial intelligence and facilitate member states to make data-informed decisions. We conducted an in-depth literature review focused on applied predictive analytics in solving the pertinent problems in health and human development. We found that machine learning is mostly used in diagnostics, so we proved in a second project that ML can indeed be used for more efficient budget allocation and policy planning, not just diagnostics.
Hence we validated data availability and the predictive analytics potential within the local organizations and stakeholders, such as measuring the outcome of RMNCAH services in Bangladesh or the purposes of developing strategies for data collection, data engineering, and synthesis from different data sources.
World Bank Group is a unique global partnership fighting poverty worldwide through sustainable solutions. The World Bank is a vital source of financial and technical assistance to developing countries around the world. It comprises two institutions: the International Bank for Reconstruction and Development, and the International Development Association.
"This brief focuses on big data solutions with applications in service delivery, policymaking and citizen engagement – areas where big data can play a transformational role"
"When it comes to revolutions, the data revolution has certainly been less bloody than, say, those in the 18th and 19th centuries. Equally transformative? A question for historians."
Midas Healthcare GmbH, a pharmaceutical leader from Ingelheim, Germany, engaged us along with another marketing agency to develop the website of their new brand ‘LaVieCal’.
We developed a brand strategy to Maddox AI that communicates the company’s values, messaging and personality through updated styles and layout.
One of the leading Global Pharmaceutical Retailers approached us to develop a global design system.
