Artificial intelligence is sweeping the globe, from chatbots to chat GPT to AI artistry. Understandably, some anxiety also sweeps in with these innovations. Despite this however artificial intelligence has proved a vital component in spearheading a new way version of the workplace. In this article, we chat with three experts from three quite different businesses on how AI is helping their area of industry improve.
One way in which artificial intelligence is proving a practical instrument is sustainability. Enviroo an innovative recycling solutions company is committed to plastic recycling and additionally offered insight into how artificial intelligence is helping this space, “AI is instrumental in recycling businesses to help them transform from unreliable and manual processes that are laden with human error into efficient and resourceful organisations. AI brings accuracy and quality control to food-grade plastics recycling plants that are focusing on creating new products where the success is all down to quality control. A company that recycles plastics to repurpose them to a material that is used for food handling materials requires stringent testing and analysis throughout the production process. AI helps analyse waste material at a level far superior to human analysis and segregation. Having 100% accuracy with AI technology on each aspect of the recycling process eliminates contamination risks, improves operational efficiency, and guarantees product quality. AI in recycling plants works in harmony with humans with both parties contributing to optimisation and not risking elimination of human contribution.” As artificial intelligence takes a pivotal role in recycling, it is not a far leap to imagine its implications in the wider universe of planetary sustainability.
Moving across to the other side of the spectrum, we spoke to an analyst at YLD FX. As a financial trading brokerage, YLD FX offered insight into how AI can be used from a trader’s perspective “AI helps to develop and optimise trading algorithms. Machine learning models can analyse historical data, market trends, and news to make predictions about future currency movements. These algorithms can execute trades automatically based on predefined parameters, ensuring quick and precise order execution.” Applying AI to trading techniques offers a broader scope of risk management, as well as a better handle on data analysis for both the novice and the expert. They continued “machine learning is used in Trade Strategy Optimisation also. It can be administered to continuously optimise trading strategies based on changing market conditions and feedback from past trades.” It could then be argued that this will level the playing field within this division of finance.
Once again, we take another leap into yet another industry: journalism and media. The editor of the London Daily News shared their thoughts on AI, “Artificial intelligence can be used to verify facts and check the accuracy of information in articles, helping to reduce the spread of misinformation, alongside other useful tools such as language translation in research, monitoring social media for trending topics and analysing your audience.” Although AI can be a touchy subject in fields such as journalism when used appropriately, to enhance the integrity of journalistic pursuits, it can be extremely handy. The editor continued, “Personalised Content Recommendations are also beneficial for the media. AI algorithms can analyse readers’ preferences, behaviours, and historical interactions with the newspaper’s website or app to provide personalised content recommendations. This can increase user engagement and retention.”
As artificial intelligence adapts and improves over time, its influence will spread over new industries. Provided it is used responsibly in keeping with its industry’s regulations, the power of machine learning and AI can be used to form a complimentary tool and create a new business landscape, which will hopefully provide a more equitable landscape for employees across the board.