The influence of technology in making better decisions, improving services and delivering better outcomes for the public sector is undeniable. One technology driving this transformation is AI.

By understanding how to effectively use artificial intelligence (AI), you will be able to make greater sense of your data, improve how you analyse large volumes of information, and enhance your decision making.

Attend this course to learn how AI currently operates in the public sector and determine what skills and resources are needed to successfully apply it; gain an overview on a range of AI tools, from machine learning to algorithms, and work through scenarios to explore how you can develop and implement a range of AI systems.

This Applying Artificial Intelligence in the Public Sector training course has been specifically designed to introduce public sector organisations to the theory and practical application of AI.

Through a mixture of trainer led discussions and use of laptops you will leave the day with a greater understanding of AI and how this can be practically used within your organisation.

About the Chair: Robert Grant
Robert is a trainer, coach and writer on statistics and working in data science, especially data visualisation and Bayesian models.

He taught statistics and research methods to postgraduate clinical research students at St George’s Medical School and Kingston University (2010-2017), and contributed to many health services and biomedical research projects in this time. His freelance clients include Harvard Medical School, The Economist, and the Cabinet Office.

He is a fellow of the Royal Statistical Society and served on their statistical computing committee from 2012-16. He worked on clinical audits, analysing hospital quality and safety indicators, at the Royal College of Physicians (1998-2010), then joined and later chaired the NHS England committee overseeing such audit projects. During this time he also contributed project management and statistical advice and analysis to six guidelines published by the National Institute for Health and Care Excellence (NICE).

09:15 - 09:45

Registration

09:45 - 10:00

Trainer’s Welcome, Learning Objectives, and Clarification of Terminology

10:00 - 10:45

Artificial Intelligence in the Public Sector

  • What is AI, compared to machine learning, predictive analytics, business intelligence, data science and statistics?
  • How is AI being used in the public sector?
  • What can we learn from good and bad examples?
  • What life cycle is involved in developing and maintaining an AI system?
  • What skills and resources would an organisation need to do this?
10:45 - 11:00

Afternoon Break

11:00 - 12:00

Understanding AI Tools

An overview of the following AI tools:

  • Machine learning and statistical models
  • Algorithms
  • Chatbots, Internet of Things, and other user interfaces
  • Software and hardware requirements
12:00 - 13:00

Group Activity Session: Scenarios

An opportunity to work in groups and explore how to develop and implement different hypothetical AI systems:

  • Identifying data sources, with their strengths and weaknesses
  • Thinking about what analytical approach to take
  • Considering what could go wrong, either technically or in users’ responses
  • Identifying what skills and resources are required
13:00 - 14:00

Lunch

14:00 - 16:00

Laptop Workshop: Applying AI in the Public Sector

Through the use of laptops, delegates will get a flavour of what is involved in taking source data, training some relevant algorithms on it, testing and critiquing the result, and using that to provide real-time decisions on the basis of new data.

16:00 - 16:15

Closing questions and summary

Robert Grant

Statistics Trainer

Robert is a trainer, coach and writer on statistics and working in data science, especially data visualisation and Bayesian models….

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Central London

Q: Can I make a provisional booking?

A: Unfortunately, we do not accept provisional bookings. Registrations are subject to our terms and conditions. View terms and conditions here

Q: Can I book without a purchase order number?

A: Yes. Simply email [email protected] after you have booked the course, with your Purchase Order Number. Please quote your order number and the course you are booked onto.

Q: Is lunch included?

A: Yes, a two-course hot buffet is served at lunch. Tea and coffee are served throughout the day.

Q: I have special dietary requirements, how can I request this?

A: Special dietary requirements can be catered for, please ensure you include this in the further information box when registering your place. If you have forgotten to add this, you can also send your requirements to [email protected] or call 0800 542 9440. Please let us know as soon as possible so we can ensure your needs are met.

Q: I have just registered for the course, when will I receive the joining instructions?

A: You will receive the joining instructions and reminders, 6 weeks, 2 weeks and 3 days before the course date. Please check your spam box to see whether the joining instructions were sent there, if not please call 0800 542 9440 so we can have these sent to you immediately.

Q: I can no longer attend the course, can a colleague attend in my place?

A: Substitutions may be made at any time but must be made no later than 48 hours prior to the event. Please call 0800 542 9440 or email [email protected] with the replacement's details.

Q: What is your cancellation policy?

A: Cancellations must be received in writing 30 working days before the date of the event and will be subject to a £195+VAT administration fee. Cancellations received after this time will be subject to the full delegate fee.

Q: Why haven’t I received the speaker’s presentation?

A: Speakers presentations are sent a week after the event date. Please contact a member of the UMG team on 0800 542 9440 or [email protected] if it has been more than a week.

Q: Will there be WI-FI?

A: Yes, all our venues have the latest technology, offer full audio visual support and WI-FI.

Q: Can’t find what you are looking for?

A: Why not contact a member of the UMG team on 0800 542 9440 or email [email protected]