When it comes to Artificial Intelligence (AI) or its subfield, Machine Learning (ML), companies often need extra time to understand how the technology helps them drive revenue. The conversations we have with clients in recent years involve applying AI/ML to their enormous amount of business data. They are interested in leveraging advanced data analytics to make business decisions proactively (using predictive data) rather than reactively (using historical data).
In this data-centric world, companies that generate high-quality data and can rapidly process it enjoy a clear competitive advantage. By having clean and precise data, they quickly gain insights derived from sales data, financial data, customer/user data, telemetry data, or sentiment data from social media. Adopting machine learning can uncover even more in-depth insights and develop the foresight to help you predict future events and outcomes. Based on the predictive data, companies can make decisions about the future with confidence.