Global economic volatility, new regulations, and changing customer and citizen expectations are putting organizational leaders under ever-greater pressure to deliver results. According to Gartner, 65% of respondents say the decisions they make are more complex than two years ago, with 53% facing more pressure to explain or justify decision making. Which is a clear indicator as to why 80% of executives think that automation can be applied to any business decision. Individuals and businesses are under pressure to make fast, consistent and fact-based decisions, so called ‘decision intelligence’.
Although AI and machine learning (ML) have clear scope for improved decision making and value-add, organizations are putting the cart before the horse. They are asking and expecting AI and ML to solve problems before considering that there’s more than just a few complicated strings of code at the heart of every automation challenge; it’s the input data.
