Artificial Intelligence (AI) is not only finding its usage in almost all the existing business processes but also, enabling business stakeholders and entrepreneurs to think of innovative ideas to come up with new business processes and gain competitive advantage. Robotic Process Automation (RPA) makes use of AI to make intelligent decisions and automate end-to-end business processes to achieve human-like efficiency and effectiveness, thereby, augmenting humans to be more productive and achieve more in less time.
Talent acquisition is a business domain where there are many business processes which are repetitive in nature and could make use of AI for business process automation and achieve the goal of greater efficiency and scale. The following are some of these repetitive processes:
However, the above does not imply that existing jobs for talent acquisition staff will be lost. Rather, AI will make the talent acquisition staff more productive. The comic below represents the fear around AI replacing the job.
In relation to above, AI is going to make a great impact in the field of talent acquisition in some of the following manners.
AI-based automation as mentioned above can be achieved using some of the following cloud services from Google and Amazon:
Other cloud services which will help achieve RPA are some of the following:
We are developing some of the above-mentioned cloud-based solutions for talent acquisition based on AI & RPA. Please feel free to reach out if you have questions or would like to know the details.
Last updated: 26th April, 2024 In this blog post, we will discuss the logistic regression…
Last updated: 22nd April, 2024 As data scientists, we navigate a sea of metrics to…
Last updated: 22nd April, 2024 This post will teach you about the gradient descent algorithm…
Last updated: 19th April, 2024 Among the terminologies used in training machine learning models, the…
Last updated: 19th April, 2024 Model parallelism and data parallelism are two strategies used to…
Last updated: 4th April, 2024 In machine learning, model complexity, and overfitting are related in…