WorkPac Challengeby QLD AI LabsNovember 5, 2020November 5, 202010 CommentsReplies10Voices7November 5, 2020 at 2:54 pmQLD AI LabsPost questions related to WorkPac challenge here November 6, 2020 at 2:35 pmEditWhat kind of dataset are we allowed to use?. Are we targeting a particular sector eg: fintech, mining, IT, etc.? Reply November 13, 2020 at 5:20 pmEditHi Praveen, WorkPac service all industries predominantly blue collar, however traditionally they have been well known for making placements in mining and construction. Thanks Reply November 17, 2020 at 11:56 amEditWorkPac are open to any/all relevant datasets. WorkPac have existing Job placement history including “Job Titles”, “Job descriptions”, “Required Certs/Licenses/Education”, along with the data on successfully placed candidates, including “Resumes” (majority of cases), “Work History” (last 2-3 roles), primary skills/qualification (at least 3-4 typically) Reply November 7, 2020 at 3:41 pmEditHi, What type of technologies do Workpac already use? Are they currently using any AI-applications for their recruitment? Would it be possible for Workpac to provide profiles for Job roles? For example: a Nurse job role, would require what skills, qualifications, soft skills, what they looking for in candidate on a personal level, etc. Kind regards, Tien Dang. Reply November 10, 2020 at 5:51 pmEditHi Tien, I would recommend using public data sets available already that you would be able to draw candidate data from, such as skills and qualifications. WorkPac will provide the 20 years of data to those submissions that are deemed a good fit, meaning you will have to enter your idea/concept first. In terms of existing AI applications, WorkPac currently use a couple that are well known to the market and would integrate well with most API's and connections. Thanks Reply November 12, 2020 at 12:33 pmEditHi guys, How many source systems does candidate data reside in? Are there duplicates of candidate records? Is there an existing ESB/Integration layer which is orchestrating data throughout Workpac? Reply November 17, 2020 at 11:58 amEditWorkPac maintain all candidate data within a single Candidate Management system. The underlying database is Microsoft SQL 2019, and documents are stored on Windows-server based file servers. Candidate records are typically unique based on Email Address or Mobile Phone number. Although every effort is taken to avoid and resolve duplicate records, it’s impossible to prevent all cases of duplicates. (eg. Candidate registering with different email addresses. There is no existing ESB/integration layer at present Reply November 18, 2020 at 1:08 pmEditHi, I have several questions which i'm hoping you can provide further clarity for me on. As QLD AI labs is relatively new you may not be able to predict (pun intended) where the innovation lab will end up, I wanted to find out based on the previous challenges: - How "mature" have the submissions been in terms of business maturity. Is QLD AI labs, and ultimately Workpac, looking for established businesses who have existing customers? i.e An established product in production. Or is it more around early stage innovators and keen problem solvers looking to develop and expand their own business ventures? - Furthering on from above, are the clients (Workpac) expecting to have a product ready to be implemented/licenced or are wanting help to bring the ideas into their own development arm of the business? - What is the submission process like? I haven't been able to find much detailed information online from any of your channels around the idea vetting process for example? Do all submissions go straight to Workpac or are they vetted first? Is there a shortlist process? If so, how many are shortlisted? What format and what is the size/length of the submission to be? Are there limitations? There is so much that can be done and said about the problems that Workpac are going through however some guidance on what is relevant and what the submissions will be assessed on would be greatly appreciated. If there was a rubric or some criteria what would be even better. Appreciate everything you guys are doing and look forward to hearing back from you. Thanks, Dave Reply November 20, 2020 at 1:11 pmEditHi Dave, Thanks for your questions and your interest. The maturity of submissions varied completely with our last challenge we had several concepts submitted along with a few off the shelf bespoke products that are already in the market. There was a wide range of submissions which is what is so great about this initiative we are open and want to encourage 'out of the box' thinking. Further to the above WorkPac are open to either, they too don't want to narrow down the solutions and would like a varied response. Every solution will be assessed by WorkPac individually and they will shortlist those that are deemed more appropriate. The aim is to give feedback to all participants. Their challenge is clearly outlined in the launch video, but in a nutshell they are looking to refine their existing job suitability matching using AI. Whether this means a totally new product, some sort of additional integration, a new algorithm - whatever resonates with WorkPac and meets this need successfully will be shortlisted. Shortlisted participants will be given access to 20 years of data to demonstrate their idea. Goodluck! Thanks Natasha Reply December 7, 2020 at 11:48 amEditThe drop box for submission will be open until Wednesday 9th Dec 2020, midnight. Thanks! Reply Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment Name * Email * Website Save my name, email, and website in this browser for the next time I comment.