In Part 1 of this blog story I urged professional sourcers to adapt their focus as machine learning and artificial intelligence (AI) play in increasing role in the field. In a nutshell, AI can now do many sourcing activities better and faster than humans. However, there are still important things that humans do better than machines. Sourcers who focus on those things will continue to be in demand, while those who don't adapt may be edged out.
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Artificial intelligence (AI) and machine learning are changing the sourcing game, and smart sourcers are adapting. In our quest to stay cutting edge, my team implemented a few new practices discussed at SourceCon, and in this two-part blog I want to share some of those methods. You probably know that AI and machine learning are already a part of our lives. That's how companies like Netflix and Amazon learn your preferences so they can make suggestions. If you use Siri, Google Assistant or Alexa, you interact with machine learning regularly.
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