Head of Data Science, SAS UKI
Adopting AI & Machine Learning for Government
In an era of data evolution, advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) empowers government departments like HRMC to address challenges of budget, efficiency and manpower.
HMRC produce, collect and store an unprecedented amount of increasingly diverse data that could be used to transform the face of the department, service delivery and the outcomes for citizens.
Please join us for the HMRC SAS Innovation day, to understand the potential of HMRC data and how the rapid emergence of AI & ML will enable the department to tap into bold new insights, make better decisions and do more with less.
|11.30 - 12.00:||Registration, Tea, Coffee & Pastries|
|12.00 - 12.10||Welcome to HMRC SAS Innovation Day||Roderick Crawford, Head of Public Sector|
|12:15 – 12:45||Five Lessons Learnt from AI & ML Deployment|
We will cover real-world applications of AI and Machine Learning deployments detailing both the results and more importantly the actionable lessons learnt.
|Dr Iain Brown, Head of Data Science|
|12:50 – 13:50||Networking Lunch and hands-on AI & Analytics in Action Demos|
|13.50 - 14.20|
How are computers becoming more image-conscious?
Increasingly so, Public sector are seeking how to apply these techniques to previously unused data sources and drive innovation. This session will look at how they are achieving this and give real world examples of how Computer Vision is being leveraged within Governments to analyse customs cargo, scrape data from the dark web and more!
|Tuba Islam, Data Scientist|
|14.25 - 14.55||Customer Case-study: Using Natural Language Processing to further improve customer satisfaction at Nationwide|
Nationwide has started to use Natural Language Processing (NLP) techniques, to further improve its already industry-leading customer satisfaction. Nationwide set out to investigate why their members get in touch and find better ways to resolve their enquiries. Successful projects to improve understanding of member contact has led to an increased demand for NLP based analytics across the societies broader text footprint. In addition, we will cover NLP success stories from other SAS customers including RBS and British Airways.
|Matthew Stainer, Principal Data Scientist|
|15.00 - 15.30||Smarter Governments Powered by Data||Joseph Musolino, Government Fraud & Security Intelligence Strategy Lead|
|15.30 - 16.00||Panel Discussion: The Future of Analytics in Tax||Joseph Musolino, Government Fraud & Security Intelligence Strategy Lead|
Paul Jones, Chief Technology Officer, SAS
|16.00 - 17.00||Networking & Drinks|
Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.
Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.
Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.