Getting the best insights from Data
Data science or AI has gained mainstream attraction in nearly every industry due to its transformative potential and impact on almost all aspects of everyday life.
This impact often comes with unforeseen consequences including fairness, that challenge the use and development of AI systems.
AI Ethics Framework
Our efforts towards overcoming current, and anticipating new, challenges of AI have led to the introduction of a framework for sustainable development and use of AI systems in short sustainable AI.
We use this framework across our projects to help our clients determine the short, medium and long-term impact of Data Science and anticipate future regulations to ensure that they maintain their edge with their AI systems.
Data driven proof of concepts
We are passionate about proving concepts before making big investments and data is no exception.
The platform will not only speed up the drug development cycle, it will allow medical professionals to fact-check potential treatment options by providing scientific evidence of the nature of the relationship between any given disease or drug.
Learn more from our Head of Data Science…
How to optimize large volume data
97.2% of organizations are investing in big data and AI. Using big data, Netflix saves $1 billion per year on customer retention.
With skills ranging from classical big data ecosystems such as Hadoop with MapReduce all the way to the newest cloud services and latest frameworks, here at Elemental Concept we’ve built big data platforms and workflows for all types of solutions.
Whether its processing hundreds of thousands of raw medical records to be fed to machine learning models or real time streaming analysis for operational dashboards, we’ll make sure your data is working for you to enable your business to make smarter, data driven decisions.
Implementing data solutions for your business
Making sense of any data you collect on your customers creates opportunity for improved service and the potential of adding revenue streams to your business.
Our team can help you to better design, deploy and manage your data architecture, while finding opportunities for innovative and meaningful use cases for application of machine learning and AI.
With rich experience in both academia and commercial context, our data scientists are driven by finding the right opportunities for data science – from algorithm optimisation, scalability, speech and language processing to AI in healthcare, machine learning, statistics, and blockchain.
We also have talented engineers with experience of managing and optimising data that can supplement your teams.
Your code of conduct for Data Science
Our Head of Data Science has drawn on years of research, insight and on the ground experience to create a go to guide for Ethical Frameworks for sustainable AI and Data Science.
Data science or AI has gained mainstream attraction in nearly every industry due to its transformative potential and impact on almost all aspects of everyday life. This impact often comes with unforeseen consequences including fairness, that challenge the use and development of AI systems.
Regulations such as GDPR provide guidelines for data protection but are not enough for meeting the transformative power of data science/AI and simultaneously protecting the environment, enabling economic growth, and social equity.
Our efforts towards overcoming current, and anticipating new, challenges of AI have led to the introduction of a framework for sustainable development and use of AI systems in short sustainable AI.
The framework focuses on the socio-economic and political impact of AI to help organisations determine the short, medium and long-term impact of Data Science and anticipate future regulations to ensure that they maintain their competitiveness and audit their AI systems.
Our data scientists are ready to discuss strategy with you today – Get in touch and we’ll start laying out a potential data play for your project.
