This photo taken on January 23, 2023 in Toulouse, southwest France, shows screens displaying … (+)
Artificial intelligence (AI) has been around for a while, but the launch of ChatGPT last November brought it mainstream, sparking equal parts excitement and suspicion. It reached 100 million users in just two months, becoming one of the fastest growing Internet services on record. However, ChatGPT’s ability to generate human-like text, answer questions and more has people wondering: could it replace our jobs?
Throughout history, people have been skeptical of new technologies, with the old ways often considered the best. It was feared that the telephone would make people lazy and antisocial and that television would negatively impact radio (which was subject to similar criticism), replace reading and conversation, and destroy people’s lives. family. The car, the elevator, the refrigerator: many things we take for granted today were rejected at the beginning.
It’s natural to be wary of the unknown, but businesses shouldn’t let their distrust of AI stop them from exploring its potential. Experimenting with AI is the best way for leaders to confront their fears while evaluating the capabilities and limitations of the technology. And there are plenty of both.
Automated processes
Perhaps one of the most obvious business benefits of AI is the automation of repetitive and time-consuming processes.
Many tasks performed by businesses waste people’s time. Let’s take the example of a typical HR department that finds itself answering the same basic questions from employees. By using a digital assistant, HR can focus on more critical tasks while employees can quickly find the information they need, increasing productivity. The same goes for sales and customer service. Rather than waiting to speak to a representative, AI allows customers to access the information they need when they need it.
AI can reduce administrative time and optimize many other aspects of business operations by automating the human element.
Some companies are already using AI to onboard new recruits. AI helps by automating the delivery and receipt of necessary documents, company policies and login information, eliminating delays and creating a positive experience that helps set the tone for an employee’s tenure. Digital assistants can also guide new hires through their onboarding, proactively suggesting next steps and recommending training materials and background reading to quickly get them up to speed in their new role.
Faster, better-informed decisions
AI’s ability to automate, augment and support business decision-making also deserves attention. The theory is that leaders can make faster decisions involving complex data, without cognitive biases, thereby improving business operations and customer experience.
For example, Peak AI Specialists use “customer transaction data – extracted from thousands and thousands of purchases – to learn which products certain customer segments buy together.” This template is then used to recommend complementary products on the site. Amazon and Netflix use a similar approach to providing personalized recommendations.
The beauty of AI is that it analyzes large amounts of data and detects patterns that might not be obvious to the human eye or brain. Computer author Thomas Erl cite the example of a company that, thanks to AI, identifies a weakness in its business operations. The study found that once customers have returned products, they are less likely to purchase again or will purchase less from the company, highlighting the returns process as a key area for improvement and improvement. ‘competitive advantage. Similarly, a company can use AI to analyze candidates and the candidate journey to identify trends, such as when people typically drop out and make improvements. Of course, it is then up to the leaders to decide what measures to take.
Support for content creation
A more controversial but no less exciting application of AI is content creation. Can AI produce nuanced copy from a talented writer? Not yet, but it can streamline the creative process.
Jasper, for example, is a marketing-focused version of Chat GPT that can generate different types of customer-facing content, from blogs, social media posts, and web copy to sales emails and advertising texts.
However, in Tiger Recruitment’s experience, AI-generated content has limitations and struggles to emulate a company’s voice and tone. The AI will never know your company and industry, or your marketing team, and the text may seem stilted, but it can help you with research and ideas. Say you’re tasked with writing social media posts on a keyword or topic: AI can suggest ideas and even produce a first draft. This requires human intervention to insert prompts and carefully review any content produced. But it can create efficiencies, allowing marketers to focus on other tasks.
Complementary and not replacement
It’s easy to get carried away by the possibilities of AI – this article only scratches the surface. But it is important to be aware of its limitations, most of which are due to the fact that it is an emerging technology and lacks human qualities such as empathy, critical thinking and creativity . It cannot magically generate efficiencies or provide insights: it needs access to quality data and, at this stage of its evolution, human oversight is necessary.
There are also data confidentiality and integrity concerns. As Devon Lovell, People Partner and HR consultant at Fitzgerald HR, highlights this In a podcast about AI in HR, what you put in ChatGPT is no longer yours – even if you delete it, it’s still there, which raises important questions about privacy.
The accuracy and authenticity of the AI is another concern, with Lovell adding: “It’s not a human being and there can be bias in Chat – depending on who’s using it. You might have a biased opinion about something without even realizing it.
When it comes to AI, there are still issues to be resolved, but as the debate intensifies and the technology advances, business leaders will need to ask themselves if and how AI has a place in their business. organization. As with most innovations, the challenge will be weighing the risks of adopting the technology against the risk of rejecting it and falling behind.
