We\u2019re not here to compete with machines on their strengths, but we should double down on what makes us uniquely human and leverage machines in doing so. In recruitment, leveraging machines is likely to remove the tasks that are high-volume and low-value. The cumbersome, burdensome, but necessary actions that take consultants away from what they do best. Connecting the right people, with the right roles, at the right time.<\/p>\n
Automation will have a major impact in the sifting, screening, scheduling, and pre-qualification of candidates during the early stages of the recruitment journey. Its biggest value, however, will be felt in how agencies manage their data. How they record, process, report, and analyse data to give themselves a greater opportunity to innovate.<\/p>\n
Automation has the opportunity to restructure entire workflows. By capturing activity when it happens and delivering insights at the point of need to make better decisions. Embracing the advantages of automation is inevitable progress. It\u2019s not a question of if\u2014but rather of when\u2014and the early adopters will extend the longest leads.<\/p>\n
Data intelligent recruitment<\/strong><\/h2>\nAutomation has an opportunity to address the challenges of data quality caused by human error. For consultants, these challenges include:<\/p>\n
\n- Under-reporting and giving a one-sided view of reality<\/li>\n
- Busy schedules leading to poor time allocation<\/li>\n
- Mistakes due to manual work<\/li>\n
- Poor processes<\/li>\n
- Limited capacity, skill and time to crunch vast amounts of data<\/li>\n<\/ul>\n
We also know that artificial intelligence has everyone excited in 2019. Whilst the subject may have changed, the conversations we\u2019re having are still very much the same.<\/p>\n
How do we improve the quality of data we\u2019re feeding into these machines and programmes to deliver the outcomes we want.<\/p>\n
Automation is not AI<\/strong><\/h2>\nPeople are using AI, automation, and deep learning interchangeably and drawing some pretty fantastical conclusions. It\u2019s time we lay them to bed.<\/p>\n
At cube19<\/a>, we describe automation simply as \u201csoftware that follows pre-programmed rules,\u201d whereas AI is \u201csoftware that is designed to learn.\u201d Our founder, Dan McGuire, actually debunked half the misconceptions around recruitment AI and automation in a recent talk at the London Powerhive.<\/p>\nThere are still reservations and a significant amount of confusion around the threat of automation to agency jobs.<\/p>\n
Bullhorn\u2019s 2018 UK Recruitment Trends Report<\/a> suggested that only 16% of businesses considered automation a top three priority and were hesitant because of this. Further findings showed that over 20% didn\u2019t understand its value and almost a third didn\u2019t employ it at any stage of the recruitment process. According to PwC, automation is expected to put 3% of total jobs at risk in the early years of the 2020s, while simultaneously delivering a boost of $15 Trillion to global GDP.<\/p>\nExplore the Recruitment Trends Report<\/a><\/p>\nBe the change you talk about<\/strong><\/h2>\nWe champion innovation as an industry but often comfortably follow the same blueprint and methods that were successful one, two, or even three decades ago. Automation won\u2019t be an afterthought or a wishlist inclusion for agencies, it will be a necessary step to scale past ten men, ten offices and ten countries.<\/p>\n
I\u2019ve spoken with thousands of agency owners over the last few years about growth and the vast majority of them always agree on the same principle. Think like a big agency from the blocks and put the processes and infrastructure in place to accommodate where you want your company to be.<\/p>\n
\nInterested in learning how easy ways to drive Bullhorn adoption that will quickly unlock your fastest route to cash? Join us for an upcoming webinar hosted by cube19 and two amazing joint clients: Toby Babb, Award Winning CEO of Harrington Starr and Mary Joy, Head of Business Systems at Venquis.<\/em><\/p>\n
We also know that artificial intelligence has everyone excited in 2019. Whilst the subject may have changed, the conversations we\u2019re having are still very much the same.<\/p>\n
How do we improve the quality of data we\u2019re feeding into these machines and programmes to deliver the outcomes we want.<\/p>\n
Automation is not AI<\/strong><\/h2>\nPeople are using AI, automation, and deep learning interchangeably and drawing some pretty fantastical conclusions. It\u2019s time we lay them to bed.<\/p>\n
At cube19<\/a>, we describe automation simply as \u201csoftware that follows pre-programmed rules,\u201d whereas AI is \u201csoftware that is designed to learn.\u201d Our founder, Dan McGuire, actually debunked half the misconceptions around recruitment AI and automation in a recent talk at the London Powerhive.<\/p>\nThere are still reservations and a significant amount of confusion around the threat of automation to agency jobs.<\/p>\n
Bullhorn\u2019s 2018 UK Recruitment Trends Report<\/a> suggested that only 16% of businesses considered automation a top three priority and were hesitant because of this. Further findings showed that over 20% didn\u2019t understand its value and almost a third didn\u2019t employ it at any stage of the recruitment process. According to PwC, automation is expected to put 3% of total jobs at risk in the early years of the 2020s, while simultaneously delivering a boost of $15 Trillion to global GDP.<\/p>\nExplore the Recruitment Trends Report<\/a><\/p>\nBe the change you talk about<\/strong><\/h2>\nWe champion innovation as an industry but often comfortably follow the same blueprint and methods that were successful one, two, or even three decades ago. Automation won\u2019t be an afterthought or a wishlist inclusion for agencies, it will be a necessary step to scale past ten men, ten offices and ten countries.<\/p>\n
I\u2019ve spoken with thousands of agency owners over the last few years about growth and the vast majority of them always agree on the same principle. Think like a big agency from the blocks and put the processes and infrastructure in place to accommodate where you want your company to be.<\/p>\n
\nInterested in learning how easy ways to drive Bullhorn adoption that will quickly unlock your fastest route to cash? Join us for an upcoming webinar hosted by cube19 and two amazing joint clients: Toby Babb, Award Winning CEO of Harrington Starr and Mary Joy, Head of Business Systems at Venquis.<\/em><\/p>\n
There are still reservations and a significant amount of confusion around the threat of automation to agency jobs.<\/p>\n
Bullhorn\u2019s 2018 UK Recruitment Trends Report<\/a> suggested that only 16% of businesses considered automation a top three priority and were hesitant because of this. Further findings showed that over 20% didn\u2019t understand its value and almost a third didn\u2019t employ it at any stage of the recruitment process. According to PwC, automation is expected to put 3% of total jobs at risk in the early years of the 2020s, while simultaneously delivering a boost of $15 Trillion to global GDP.<\/p>\n Explore the Recruitment Trends Report<\/a><\/p>\n We champion innovation as an industry but often comfortably follow the same blueprint and methods that were successful one, two, or even three decades ago. Automation won\u2019t be an afterthought or a wishlist inclusion for agencies, it will be a necessary step to scale past ten men, ten offices and ten countries.<\/p>\n I\u2019ve spoken with thousands of agency owners over the last few years about growth and the vast majority of them always agree on the same principle. Think like a big agency from the blocks and put the processes and infrastructure in place to accommodate where you want your company to be.<\/p>\n Interested in learning how easy ways to drive Bullhorn adoption that will quickly unlock your fastest route to cash? Join us for an upcoming webinar hosted by cube19 and two amazing joint clients: Toby Babb, Award Winning CEO of Harrington Starr and Mary Joy, Head of Business Systems at Venquis.<\/em><\/p>\nBe the change you talk about<\/strong><\/h2>\n
\n
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