The workshop started with an insightful perspective from John Spindler, CEO of IDEA London, on how AI and ML have developed, what they are best used to achieve and the importance of data in any rules-based protocol.
John also offered to:
– provide pro bono spaces on the Machine Learning Academy run by his company Capital Enterprises. This is a six-week course held on a Wednesday evening in London, starting again in September.
– provide details on how charities with less than 250 employees can benefit from EU-funded data analysts.
– make introductions for those charities with more than 250 employees to link up with an expert AI PhD student for a joint project. John works with universities such as UCL and King’s.
Summary notes and key learning points from John’s talk are available to AI4C members on Teams.
The second part of the AI data event was a hands-on workshop with the tech start-up Count, using real life data to give all attendees the chance to:
– explore the types of questions that can be asked of data
– how best to frame the question
– how deciding what format you want the results in before you ask the question makes quite a difference
– and also the importance of consistent and high quality data.
The tool used showed how quick and easy it was to not only get results in tabular form, but also see them in various charts and graphs ready for interpretation.
There is still much more to cover on AI data, so it will be a recurring theme for future events and discussions at AI4C meetings.