Accenture and The Alan Turing Institute have been working together since 2017, during which time they have conducted joint research projects into new techniques for network analytics for use in fraud detection, for example, in telecommunications. They have also run Data Study Groups to tackle challenges facing AI professionals, such as fairness in algorithmic decision-making.
In 2020 we launched a five-year Strategic Partnership with Accenture that will sit within the finance and economics programme. Our partnership will build on an existing three-year alliance to create a world-leading strategic partnership in advanced data science, data analytics and artificial intelligence (AI) research with a focus on delivering substantial business and societal value.
Some of the activities the partnership plans to undertake include conducting joint research in data science and AI across many areas including:
- Creating tools for the generation and management of synthetic data as well as tools in other Privacy Enhancing Technologies (PETs) for safe and secure data sharing.
- Developing interoperable software tools focusing on advanced modelling techniques to create complex digital twins, for example representing business systems.
- Applications of AI to help quantify uncertainty and design systems which are more resilient to shocks, make systems more sustainable, and do social good.
The partnership will also deliver engagement activities to help transform executives’ understanding of how AI and data science can be used as a tool for business. This will include guest lectures and seminars as well as internship opportunities for a range of students across the Turing Network with Accenture and its clients.
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AI for precision mental health
Professor Zoe Kourtzi gave a talk at Accenture as part of Mental Health Week 2021.
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How can you identify whether a problem or opportunity – whether it’s from industry, third sector, government or academia – is a suitable candidate for an AI-driven approach?
Solving the UK's AI skills gap
Addressing the UK’s AI skills gap has never been more important. In this blog, Ray Eitel-Porter (Global Responsible AI Lead at Accenture), discusses the scale of the challenge, addressing diversity, and AI learning in schools.
Collaboration for Innovation
Applied Intelligence collaboration is at the heart of Accenture does. Read more about their work with some of the world’s leading academic and research institutions worldwide.
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Innovation Symposium 2020 Highlights Video
On 7 October 2020, Accenture and The Alan Turing Institute partnered to host the Innovation Symposium, featuring the latest in applied data science and artificial intelligence research.
Accenture challenge: Fairness in algorithmic decision-making
Accenture’s challenge to the Turing's Data Study Group researchers was to develop a tool that can promote fairness in algorithmic decision-making across the financial services sector. Read more about the outcomes of the challenge.
A data revolution for all
The big data revolution is changing everything. Along with increasing computing power, data is the engine of data science and AI. It is having an impact across social and economic life through social media, new forms of public service delivery or the transformation of industries and employment.
Accenture Turing strategic partnership: Expression of interest (Data sharing) – Through this call we are seeking to fund projects that fall under the “Data Sharing” research theme.
Accenture and The Alan Turing Institute establish strategic partnership – A partnership to conduct AI and data science research and develop applications that solve real-world problems.
Accenture challenge: Fairness in algorithmic decision-making – Accenture’s challenge to Turing DSG researchers was to develop a tool that can promote fairness in algorithmic decision-making across the financial services sector.
The Alan Turing Institute and Accenture launch a new alliance to combat fraud and money laundering – The Alan Turing Institute and Accenture announced that they will work together to develop next generation artificial intelligence and data science tools, with the first in a series of projects to look at the security challenges faced by large business and government organisations.
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialised skills across more than 40 industries, Accenture offer Strategy and Consulting, Interactive, Technology and Operations services – all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Their 537,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. They embrace the power of change to create value and shared success for clients, people, shareholders, partners and communities. Visit at www.accenture.com.
About the finance and economics programme
The finance and economics programme brings together leading experts in data science, machine learning, finance and the social sciences, from both academia and industry to tackle the most challenging questions by producing world-leading research with significant impact. We inform public policy and enable trusted, research-led thought leadership. The programme works closely with government and the industry to exploit the potential of new technologies in the financial sector and economic research, and to position the UK as the leader in these areas.
In 2020 we launched a five-year Strategic Partnership with Accenture that will sit within the finance and economics programme. Our partnership will build on an existing three-year alliance to create a world-leading strategic partnership in advanced data science, data analytics and artificial intelligence (AI) research with a focus on delivering substantial business and societal value via:
- delivering value from AI and data;
- enabling safe and robust application of AI; and
- lowering barriers to AI adoption.
We will achieve our vision through four data science and AI pillars: (1) research sponsorship, (2) students and scholarship, (3) skills and training, and (4) use case commercialisation.