Should you worry about what companies and government do with YOUR (and others’) data?
Sunday July 17th 7 for 7.30pm
Daniel Hall, Long Garden Walk, Farnham, GU9 7HX
Talk by Tom Khabaza, Chairman of the Society of Data Miners and “the Isaac Newton of Data Mining”.
Tom will describe what’s meant by Big Data, data mining and analysis. As well as offering opportunities and benefits, it can present huge risks; but by using an ethical position some of the threats can be minimised. A vision of the future of Big Data and data analysis will also be discussed.
Increasingly, commercial and government policy is justified by data (“7-day” NHS, “Academies are more successful than local authority schools”, pop-up ads and emails appear based on your web browsing). While providing real benefits, data analysis can pose risks, especially when the data, the analysis, or the inferences drawn, are flawed. Data analysts must understand the assumptions behind data analysis and data mining and the limitations of data analysed, and they have a responsibility to ensure that only valid inferences are drawn.
Tom will describe how data analysis and data mining work, what they’re used for, and the nature of the underlying process and principles. He will discuss some of the risks, and how an ethical position can help to minimise them. Finally Tom will describe the Society of Data Miners’ vision of the future of big data and data analysis, with an established and ethical profession.
A data mining veteran of 25 years and many industries and applications, Tom helped create the world-leading Clementine data mining workbench (now called IBM SPSS Modeler) and the industry standard CRISP-DM analytics methodology, and led the first integrations of data mining and text mining. His recent thought leadership includes the 9 Laws of Data Mining and Predictive Analytics Strategy.
Everyone is welcome!!
Come and join in the discussion.
Tea, coffee and biscuits. Other drinks available from the Hop Blossom Pub close by. Admission donation £2 to help cover costs.
Enquiries: email Jennie via email@example.com