Last week, we talked about some changes we’re bringing to our blog. Our goal is to create a forum where Artificial Intelligence (AI) can be examined and explored fairly without being oversimplified or overhyped.
With Natural Language Generation (NLG), one of the most common storylines we see discussed in the media is how writing jobs will be impacted. Some argue that AI software will replace creative writers and journalists. This could not be further from the truth. Creative articles, like this one, are not based on data: they are based on abstract and creative thinking. Where AI succeeds is in the automation of repetitive tasks. In some ways, it is best to think of AI like the robots in car manufacturing plants. Those robots automate repetitive tasks where humans are likely to make mistakes. That is exactly what AI does in the service sector.
Looking at writing, artificial intelligence systems could not write this article.
However, it can write 70% of data-driven reports like those written by business analysts every day. This means the software writes the first draft in a split-second, the analyst then reads it, adds some non-data driven insight, and ships the report.
Now the report takes a grand total of 15 minutes to write, turning the freshest data into insights as quickly as possible and cutting costs.
The analyst is happy because they often find writing data-driven reports boring a tedious, the customer is happy because they have real-time insight, and the company is happy because they increase capacity.
This is where AI shines, and it’s not limited to writing either. AI is successful at mimicking human behavior and automating repetitive tasks.
Over the coming months, we will continue to look at the role of AI in business today, discussing both successful and not so successful use cases. The focus of this blog is a forum for those interested in concrete, honest insights about artificial intelligence, and the role in can play in business and our society.