The integration of digital technologies with a data-driven approach is transforming the way businesses operate and the value they aim to generate. The use of digital technologies such as cloud computing, artificial intelligence, and machine learning is enabling businesses to collect and analyze large amounts of data in real-time. Data analytics is not a buzzword any more. Business leaders will agree that data analytics is more than just numbers. It is a culture, a thought process that aims to leverage business intelligence.

When the artificial intelligence research lab OpenAI made ChatGPT publicly available last November, it immediately became a global sensation. The platform's ability to provide creative and seemingly organic answers to a vast array of questions has captivated millions of users and raised questions about the implications of the technology for a wide range of industries – particularly those that employ knowledge workers. And, recruiting is no exception – from creating interview questions and job ad templates to following up with candidates, ChatGPT has many potential applications in the field. However, it would be a mistake to treat the technology as a silver bullet. ChatGPT is undeniably impressive as a dynamic language model, but it also has a habit of getting basic questions wrong, providing nonsensical interpretations, and presenting these mistakes in a convincing way to users who aren't familiar with the subject matter at all.

Circa is excited to welcome Keith E. Sonderling, Commissioner, U.S. Equal Employment Opportunity Commission (EEOC) at 11 a.m. Circa collaborates with industry experts to provide monthly educational webinars focused on trends in, diversity, equity, and inclusion in the workplace, talent acquisition, and OFCCP compliance. One of the trends that continues to be seen for talent acquisition is redefining what top talent looks like as well as where and how employers are sourcing that talent. Employers are looking for new technologies and many are turning to AI to not only help with recruitment and retention but also to ensure they are making efficient and effective decisions. While AI has been around for a while, many employers still have some fear and unease with the use of AI because of the uncertainty of how it is used in the marketplace today.

Have you tried reducing workload with the help of advanced technology? Most leading organizations are using automation tools to reduce human effort. In this article at Forbes, Tom Taulli shares reasons to try AI for reducing hiring hassles. Advanced technologies should get you experienced professionals with relevant skills in a short period. You can further evaluate shortlisted people for the desired job openings in your company.

Artificial intelligence is invariably described as "advanced technology." Some experts call it a step toward machines that will reason and converse, while others contend it's simply a neat, rapid approach to performing statistical analysis. But as with most technologies, users don't really care about what goes on under the system's hood. Instead, they focus on how AI-driven solutions can help them do their jobs. So, while technology vendors are quick to brag about the power of their AI products, the people who actually use them examine their results in the context of productivity, efficiency and accuracy.

David is a veteran human resources leader and President of IQTalent Partners, an on-demand talent acquisition and executive search firm. When it comes to KPIs, a recruiter is almost always judged by two metrics: time to hire and quality of hire. The recruiting function is asked continually to reduce costs while delivering better results, even though finding quality talent to fill important roles is almost always named one of the top challenges faced by CEOs. Heads of talent must constantly ask themselves, "How do we make recruiting more efficient and effective?" Recruiters and HR professionals have long considered the effects of artificial intelligence and how it can create a more efficient talent acquisition process.

For the past few years, artificial intelligence has become a buzzword in the tech sphere. As more advancements in technology are taking center stage, more companies and people are jumping into the pool of artificial intelligence. With exploding population and high-end experts, India is one of the front-running countries that are striving to streamline artificial intelligence. Because of the country's never-ending efforts, artificial intelligence recruiters and recruiting are also mushrooming. AI recruiters in India, especially, from big companies are seeking talented candidates in machine learning engineering, robotic scientist, data scientist, research analyst, business intelligence developer, etc. Analytics insight has listed the top 10 artificial intelligence recruiters from top-notch companies who could brighten your future.

Organizations have been increasingly adopting applicant tracking systems to improve their recruitment, hiring, and onboarding processes. These tools have become essential to HR teams and recruiters because they allow companies to hire people based on potential and "adjacent skills." And, they bring efficiencies to the processes they use, streamlining them from beginning to end by automating tasks that would otherwise have to be done manually. "The applicant tracking system, which has traditionally been an immense TA [talent acquisition] filing cabinet, is being reinvented by innovative solution providers," writes Michael Stephan, U.S. human capital national principal at Deloitte Consulting. "These providers are augmenting the ATS with other TA technologies," he notes.

I recently read an article about ageism, and how companies are struggling to effectively manage it. A short time later I read about Artificial Intelligence (AI), and how it will make Talent Acquisition (TA) more efficient. So, I started thinking…how will AI and ageism coexist? Bias is practiced every day by everyone, starting with personal preference for morning coffee and what goes in it, to our taste in cars (Tesla), to what to buy on Amazon, and more. We also have strong biases in technology preference: Mac or PC, iPhone or Galaxy, Samsung, or LG?

What is the Great Rehire? In a previous article here, I explained it as a war for talent expected in the first half of 2021 signalling a new phase of business recovery and fierce employer competition. In a Hiretual survey sent out to 350 recruiters this November, over half of them cited competition from other companies as their biggest hiring concern next year. In this article, I'll cover the'how.' How can companies start moving toward data-intelligence adoption in talent acquisition to effectively beat out the competition and attract desired talent? As recruiters prepared for 2020, employers were using AI to lower time-to-hire by increasing touch points with the employed workforce and implementing automation in the candidate sourcing and engagement process.