One major advantage of Artificial Intelligence is that it can help companies reduce errors when dealing with large amounts of data and thereby increase precision and accuracy. Accuracy is one of the central requirements of demand forecasts which companies use to make assumptions over future revenues, profit margins, cash flow and risk assessment. Hence, the more accurate the demand forecast is, the better a company can prepare for the future.
In this edition of the Analysts’ View, Lead Analyst Alexei Balaganski looks at how AI can be used to make demand forecasts more accurate and where its challenges and limitations lie. Annie Bailey discusses Hype vs. Reality in AI & ML and shows various AI implementation examples, which can lead to concrete business benefits. At next week’s AImpact Summit in Munich, KuppingerCole Analysts and leading AI experts will examine privacy and ethical challenges surrounding the deployment of data analytics and AI.