Normalization of Sponsors and Speakers names

At some point, we will have both sponsors and speakers with different names, so we might need to either have a tool to do a normalization, or a different approach. For example, when parsing the data, we might have 'Microsoft' and 'microsoft' or with people we might have 'Cristián Maureira-Fredes' and 'Cristián Maureira Fredes' 👯

Any ideas? maybe a script that finds similarities in names?

and also... for some european countries, we might have two people with the same name, it's a very tricky corner case, but we could have two "Michael Müller"