EPISODE · Feb 14, 2019 · 50 MIN
Episode 5: How Data Science is shaping the future of Human Resource (HR) with Jessica Colaco & Daniele Orner
from Dependent Variable · host Dependent Variable
Almost any job you apply to today is done digitally. Some companies still fancy direct emails but a growing number are automating their HR services to deal with repetitive processes. But is this an ideal solution, does it favour only excellent communicators and is there potential for bias from pooling applicants in to different buckets even before having a look at their CV? What does the future look like in how HR services will be organised in the age of deepening data analytics? In this episode, the team (Cate, Anthony and Victor) sit down with Jessica Colaco & Daniele Orner from Brave Venture Labs (https://brave.careers/) to have a discussion on how the evolution of analytics is shaping HR services to build a company that takes care of all stakeholders. We get to talk about: 1) Broadly understanding how HR services are set up in Kenya and East Africa relative to Europe 2) Does the HR system as set up only favour employers and how can we improve the employer-talent relationship? 3) How Brave uses advanced diagnostics to find ideal matches between companies and talent 4) Will bots replace HR professionals? 5) The case for algorithmic bias and how likely is it to affect HR services. How explainability could be a good systematic fix to potential bias 6) What kind of data about you are recruiters looking for and the smarter way to get a job 7) What are the advantages of using artificial intelligence for HR services? 8) An insider hint on the skills you need to be a good techie or data scientist 9) The challenges an AI focused company operating in Kenya faces 10) How HR professionals can up their tech game and the x-factor that Brave brings to ensure maximised benefit for both companies and talent
What this episode covers
Almost any job you apply to today is done digitally. Some companies still fancy direct emails but a growing number are automating their HR services to deal with repetitive processes. But is this an ideal solution, does it favour only excellent communicators and is there potential for bias from pooling applicants in to different buckets even before having a look at their CV? What does the future look like in how HR services will be organised in the age of deepening data analytics? In this episode, the team (Cate, Anthony and Victor) sit down with Jessica Colaco & Daniele Orner from Brave Venture Labs (https://brave.careers/) to have a discussion on how the evolution of analytics is shaping HR services to build a company that takes care of all stakeholders. We get to talk about: 1) Broadly understanding how HR services are set up in Kenya and East Africa relative to Europe 2) Does the HR system as set up only favour employers and how can we improve the employer-talent relationship? 3) How Brave uses advanced diagnostics to find ideal matches between companies and talent 4) Will bots replace HR professionals? 5) The case for algorithmic bias and how likely is it to affect HR services. How explainability could be a good systematic fix to potential bias 6) What kind of data about you are recruiters looking for and the smarter way to get a job 7) What are the advantages of using artificial intelligence for HR services? 8) An insider hint on the skills you need to be a good techie or data scientist 9) The challenges an AI focused company operating in Kenya faces 10) How HR professionals can up their tech game and the x-factor that Brave brings to ensure maximised benefit for both companies and talent
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Episode 5: How Data Science is shaping the future of Human Resource (HR) with Jessica Colaco & Daniele Orner
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