your data to sit wherever your data sits and for you to then be able to access that to reason your AI across that data .
Governance is about lots of the things we ’ ve been talking about so far , which is how you validate , train , tune , and deploy your AI models , and how you do that in a way that you know where the data came from , whether it ’ s trusted , whether it ’ s verified and how your AI is reasoning over that data and taking its decisions .
The second piece is around watsonx . data . AI is only as good as the data it ’ s reasoning over . So for many years in the technology industry organisations have been grappling with how to get their data in good shape . Interestingly , with watsonx , it means you get the benefits of a data warehouse without having to do those multi-year complex programmes to build one .
Then the third part which we talked about is watsonx . ai , which gives a bunch of different capabilities including Watson Orchestrate , as an example , which allows you to automate processes .
A good example in our own world is we transformed IBM ’ s HR function on a global basis . The work of 700 people is now done by 70 with the support of AI . It has really transformed the employee experience . The other HR professionals didn ’ t go anywhere other than to go into higher value work or to be redeployed into different parts of the business , but they ’ re now doing a lot more work to support people on career development and talent management .
Q . HOW IMPORTANT ARE PARTNERSHIPS AT IBM ?
» IBM launched a programme in January this year called Partner Plus ,
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