Artificial Intelligence Matching

100+ Free Sourcing & Recruiting Tools, Guides, and Resources

Tweet   It’s been a LONG time coming, but I finally got around to updating my free sourcing & recruiting tools, guides and resources page where I now keep a current list of the best of my work all in one place for easy bookmarking and reference. You can find it here on my main [...]

Analytics, Artificial Intelligence Matching, Best Practices, Big Data, Bing, Boolean, Boolean Search Experiments, Boolean Search Tips and Tricks, Data Science, Diversity Sourcing, Email Verification, Extended Boolean, Facebook, Future of Sourcing and Recruiting, Google, Google Plus, Graph Search, Hidden Talent Pools, How-To's, Human Capital Data, Information Retrieval, Lean/JIT Recruiting, LinkedIn, LinkedIn Search, LinkedIn SEO, Moneyball Recruiting, Monster, Monster vs. Google, Myths and Misconceptions, Passive Sourcing and Recruiting, Predictive Analytics, Proximity Searching, Recruiting Technology, Referral Recruiting, Resume Aggregators, Resume Sourcing, Resume Sourcing vs. Cold Calling, Search Automation, Search Process, Semantic Search, Social Discovery, Social Media, Social Networking, Social Recruiting, Sourcing, Sourcing and Recruiting, Sourcing Automation, Sourcing Challenges, Sourcing Mistakes, Talent Communities, Talent Mining, Talent Warehouse, Training Sourcers and Recruiters, Twitter, x-ray search

The End of Sourcing 1.0 is Near, Sourcing 2.0 Just Beginning

Tweet   In case you haven’t read Dr. John Sullivan’s recent article entitled, “The end of sourcing is near…the remaining recruiting challenge is selling“, I highly recommend that you do so. While I agree with some of the points that Dr. Sullivan raises, I disagree with others as I believe he has an oversimplified view [...]

Artificial Intelligence Matching, Big Data, Future of Sourcing and Recruiting, Job Posting, Sourcing, Sourcing Automation

Talent Sourcing: Man vs. AI/Black Box Semantic Search

Tweet Back in March 2010, I had the distinct honor of delivering the keynote presentation at SourceCon on the topic of resume search and match solutions claiming to use artificial intelligence in comparison with people using their natural intelligence for talent discovery and identification. Now that nearly 2 years has passed, and given that in [...]

Artificial Intelligence Matching, Boolean Logic, Dark Matter, Extended Boolean, Future of Sourcing and Recruiting, HCDIR, Human Capital Data, Information Retrieval, Recruiting Technology, Resume Sourcing, Search Automation, Semantic Search, Sourcing, Sourcing Automation

Why So Many People Stink at Searching

Tweet The trouble with search today is that people put too much trust in search engines – online, resume, social, or otherwise. I can certainly understand and appreciate why people and companies would want to try and create search engines and solutions that “do the work for you,” but unfortunately the “work” being referenced here [...]

Artificial Intelligence Matching, Human Capital Data, Information Retrieval, Iterative Search, Search Process, Semantic Search

Sourcers and Recruiters – Don’t Fear Watson or Semantic Search

Tweet I’ve read a few articles recently talking about IBM’s Watson and how the technology they developed may be the harbinger of unemployment for people in many professions. Here’s one from Fortune magazine, asking if IBM’s Watson will put your job in jeopardy. Here’s another suggesting that those who train others in Internet, social media, [...]

Artificial Intelligence Matching, Semantic Search, Talent Intelligence

Curious About My SourceCon Keynote?

Tweet Are you attending or thinking about attending SourceCon 2010 in San Diego in March? I am going to be the keynote speaker for the event, and I will be presenting on Artificial Intelligence vs. Human Cognition when it comes to sourcing and matching resumes. If you’re curious to know what kinds of things I’ll [...]

Artificial Intelligence Matching, Recruiting Technology, Resume Sourcing, SourceCon, Sourcing Automation