We look at the core developments that are shaping AI's future: the steady improvement of machine learning techniques, the increasing presence of AI in everyday technology, and the ongoing need for ethical guidelines as AI systems become more complex. This article aims to provide a clear view of what's staying the same in AI, offering a grounded perspective in a field where change is the only constant.
The recent boom in Artificial Intelligence technology and innovations has had a positive impact on workplaces all around the world. Both small and large businesses have implemented AI tools for multiple purposes, such as automating routine tasks, streamlining workflows, and optimizing operations. All this has ultimately reduced costs, boosted productivity, and even created healthier and safer workplaces.
A survey done in 2023, found that 55% of the companies surveyed had invested in AI to integrate it into their workflows during that year, and 58% will continue to do so in the future. This only elucidates the relevance of AI in today’s working environment, not as a substitute for human workers but as a colleague who will coordinate and cooperate with humans to enhance their skills.
The common uses of AI in the workplace include the automatization of repetitive tasks, which ultimately saves time and effort that can be redirected to non-automatable tasks. Customer service can also be enhanced by the implementation of AI-controlled chatbots that are available 24/7, leading to higher customer satisfaction. On the other hand, AI can also gather data from the company to determine the functionality of workflows and processes, detect weaknesses, or predict probable outcomes during a certain operation.
AI technologies can also help to enhance the safety of a workplace, both in terms of monetary and human resources. PayPal, for example, has implemented machine learning in its website to help detect fraudulent activities. Since there are millions of transactions occurring through the website every single day, it would be impossible for a team of human workers to verify the validity of every transaction. As such, AI technologies are being used to detect patterns in the user’s activity, raising alarms whenever a suspicious activity is flagged. This has helped to protect the user’s money as well as the company’s.
AI in the workplace not only benefits productivity, communication, or collaboration but can also participate in the decision-making process and the planning of strategies for the long and short term of a company, taking into account data that might escape the human eye. In today’s business environment, AI algorithms are being utilized for data analysis. What this implies is that algorithms can be trained to process relevant data sets from the past or current activities of the company (which entails things like production, management, retail, and customer habits, among others) at a speed greater than any human could. Depending on the need, the algorithm can help identify problems with a certain product or detect areas of opportunity within a certain workflow. These areas of opportunity might include trends, risks, or openings in business strategies that can then be tackled through an informed decision