There has been plenty of talk about the impact of advanced artificial intelligence on the everyday workplace. So far, the progress has been a bit slow and subtle, but AI-powered innovations are now beginning to take shape and gain acceptance. Here are five areas where AI has made tasks easier for the office worker.
Communication and support
Chatbots and virtual assistants, such as telepresence are nothing new in the workplace. However, machine learning and artificial intelligence have realised smart conversation interfaces with the ability to understand voice, text and even language to some extent, to drive nearly natural conversations. This has assisted live chat conversations for online queries, support facilities on e-commerce websites, and call centre voice prompts.
Cybersecurity defence tools have integrated AI systems to constantly and repetitively analyse web traffic and pick out anomalies. By studying network patterns and behaviour over time using deep learning algorithms, AI-powered security systems win over traditional firewalls as they work automatically with prior knowledge of the system and its users.
Translation and transcription
Language has proven a complex phenomenon to breakdown into discrete digital commands. Nevertheless, after years of research and ambitious attempts, computers are getting closer to the comprehension of language. Although automated language systems still lag far behind human performance, they have gotten much better in the last few years, scoring high 90s in translation and transcription. This is good enough for understandable speech and text in meetings, calls and media.
Market and trade predictions
Market and trade analysis have grown complex in modern times as businesses rely heavily on understanding vast amounts of data. Using AI data analysis tools coupled with big data technology, analysts can sieve through blocks of data, recognise business patterns, and use the information to predict intent and behaviour, and ultimately make accurate trade projections. These systems come in handy while exploring new markets, trying new rollouts, launching start-ups, and trading stocks and currencies. It reduces human error and judgment when making predictions by only using available data and historical inferences.
Repetitive, semi or fully predictable tasks like data entry, accounting, payroll, and resource and supply chain management are now safe in the hands of autonomous systems. These systems learn the rules governing certain operations and translate them into programmed instructions. However, switching from manual to automated services is not as easy as pushing a button. Some of the processes and transactions may need reengineering to suit the automated system in order to take full advantage of its efficiency and speed.
We can expect to see a further implementation of AI systems in the workplace. More tasks and roles will be replaced or assisted by AI tools. Although there is a worry that extensive automation in the workplace may lead to job destruction, many studies have shown that this will actually create more jobs. As AI technology improves and spreads, the workplace will continue to become more efficient.
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