A Robot, A Recruiter & A REST API Walk Into A Bar…
[10 ways Artificial Intelligence is improving hiring and staffing in IT]
Ever since AlphaGo’s “Move 37” dumbfounded world champion Go player Lee Sedol it seems as though every company wants to add Artificial Intelligence (AI) to their offerings. The problem lies in separating the elite IT staffing agencies actually using the new technology from those just looking to cash in on the hype.
How can you separate AI staffing benefits from buzzwords?
One great way to tell the difference is to ask AI recruiting companies what they use artificial intelligence, machine learning and/or deep learning for. Hopefully the hiring firm can what it’s using the new technology for and not just that it is. If not it’s time to dig a bit deeper.
How do professional consulting firms actually use AI?
There are countless ways the innovative technology is already being used. From parsing resumes and profiles to filtering candidates to increasing engagement nearly every step of the onboarding process can be optimized. These are, in my opinion, the;
10 best ways Artificial Intelligence is improving the hiring process for clients, candidates and recruiters alike.
1. Filter more resumes in less time
Applicant Tracking Systems (ATS) are decent at parsing keywords quickly. However, they don’t do a great job of combining those keywords with other factors, let alone context, to paint a complete picture.
2. Prioritize traits with finer detail
Imagine replacing “I think 1–3 years of experience is good” with “I know 1.2–2.7 years of experience is hired, and retained for over 90 days, more than any other segment”.
3. Remove or reduce bias
Sentiment Analysis (SA) and Natural Language Processing (NLP) are already being used to gauge not only the job-seekers demeanor but the tone of the job description as well.
4. Connect the digital dots
Rather than reading a resume, then a LinkedIn profile, then a Facebook page, then a Google search, etc. many machine learning models can already scrape that data then compile it into a single snapshot. Think your digital footprint’s not being analyzed? Read this.
5. Confirm candidate information authenticity
Speaking of connecting those dots… does the information on each part match? A huge red flag that could be easily missed by a person is just as easily caught by A.I.
6. Learn from mistakes and never forget them
We currently rely on incomplete reports and imperfect memories. A.I. notices every missed detail and never forgets.
7. Easier scheduling for everyone
Collaboration apps like Trello and cloud-based email services like Calendly have made scheduling easier than ever. However, we still find ourselves having to email back and forth from time to time. An ideal use case for virtual assistants a.k.a. chatbots.
8. Keep everyone engaged and informed
Often times the worst part about the hiring process is the wondering. Candidates wondering if they’re still being considered. Clients wondering if positions are being filled. Artificial Intelligence doesn’t have “office hours” and can be asked anytime, from anywhere, by anyone.
9. Improve job descriptions and advertisements
It’s rare that stringent A/B tests are run on the efficiency of a job posting. Even less common is the ability to determine why one resulted in more, and more skilled, candidates than the other. A well trained machine learning model can make great recommendations for your future job postings.
10. Ensure audio and video integrity
Trying to determine if the person on Skype is actually who they say they are can be a burden. Fake interviews waste time, cause frustration, and may lead to human bias going forward. Having an A.I. assistant perform the initial screening prevents all of it.
These are just a few aspects of the bigger “hiring pipeline” picture that artificial intelligence and machine learning are primed to disrupt and improve. Here at Peterson Technology Partners we have some exciting AI implementations rolling out soon so stay tuned!
About the Company:
Peterson Technology Partners (PTP) has been Chicagoland’s premiere I.T. staffing, consulting, and recruiting firm for over 20+ years. Named after Chicago’s historic Peterson Avenue, PTP has built its reputation by developing lasting relationships, leading digital transformation, and inspiring technical innovation throughout Chicagoland. Now based in Park Ridge, IL, PTP’s 250+ employees have narrowed their focus to a single market (Chicago) and 4 core technical areas;
- Application/mobile/web development and ecommerce
- Data science/analytics/business intelligence/artificial intelligence
- Information security/cybersecurity and
- ERP SAP/Oracle and project management/BA/QA
PTP exists to ensure that all of our partners (clients and candidates alike) make the best hiring and career decisions.
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About the Author:
Matthew Bardeleben is the Director of Marketing and Public Relations at Peterson Technology Partners. He has earned more than 35 certifications in topics ranging from artificial intelligence, blockchain, and Python programming to digital marketing, growth hacking, and UX/UI design from organizations such as IBM, Google, and HubSpot.
#ArtificialIntelligence #AI #MachineLearning #ML #DeepLearning
Originally published at www.ptechpartners.com
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