Artificial Intelligence vs. the Analyst

In recent months, Artificial Intelligence (AI) has seen a vast increase into its efficiency and advancements. The benefits of developing AI are clear, with growing software developments that are designed to save time and money into businesses. Consequently, this leaves the question: are these innovations likely to replace human analysts?

The rise of “machine learning” has always had the role of efficient assistance rather than replacement. However, a new intelligence company called Primer, have now developed a product that is part intended to augment the job of an intelligence analyst. Primer takes both the reading of that information, as well as the writing of the report, and automates the processes using AI. The CEO of the company, Sean Gourley, argued that “analysts get tired and can miss data if given vast quantities”.

Despite this comment being a strong argument, as an Analyst at Neotas I can safely believe that the human perspective of data analytics is critical to influencing the interpretation of data. Understanding what it means to be human and gaining first hand experiences in everyday life can be the difference to finding the meaning behind information rather than facts and figures.

In conclusion, the growth of machine learning cannot be ignored and if anything, just be encouraged to assist intelligence gathering. Nonetheless, I argue it will be a long time before AI processers can configure human interaction and meaning. In the meantime, whilst this debate continues, AI can point towards the right information to help aid research and develop a human analyst’s skills. Whilst the consumer still wants meaningful answers, our humanity will continue to be the strongest asset.

By Reece Wickens

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