My CEO asked me to write a series of blogs, outlining my journey that took me from being a successful recruiter to PredictiveHire, helping business make better hires, faster.
Last week I made a promise to share a journey that brought me to be working in a business at the cutting edge of technology and science within the People/Talent sector.
In my previous post I shared some of the thinking of people within my sector. This is what I learned about the hard work during my 13 years working in tech recruitment.
In case you missed it: The other week, Sage CEO, Stephen Kelly, sat down with PredictiveHire's Steven John, number 45 on the Sage Top 100 list for 2017, and asked him his thoughts on AI and just how important he feels it is to get it right.
Do you wish you could harness the very best attributes of your people and just hire more of them, quickly, without bias? Do you spend more time recruiting than you would like? Have you ever gone against your better judgement and hired hastily only to discover the whole process has cost your business greatly?
“Will the last team member to leave please turn out the lights”
New year, new job.
January is the most popular month for employees to look for new opportunities. But that doesn't have to mean starting the year with an epidemic of departures.
Previously, I’ve written about how the world of recruitment has evolved. It seems that using AI could consign fantastical or over-optimised resumes to the dustbin of history, along with the Rolodex and fax machines.
It’s a cliché, but nonetheless true, that as time passes all processes become dated.
Some might need to be thrown out completely. Many more need to be adjusted and refined to keep up as workplaces and ways of working change.
Do you know how much employee turnover costs your organisation? And how much you could save by improving your retention?
Only 28% of organisations can answer 'Yes' to these two questions!
In our everyday lives, uses of machine learning are ever expanding - think Netflix, Siri or Google Maps.