“Any technology that can reduce the costs of manual operations by 25-40% without changing existing systems, yet improve service and generate ROI in less than a year, can truly be described as transformational and disruptive” [EY, 2020]

We’re witnessing the most significant point of inflection since the steam engine. Artificial intelligence is set to transform the way we work and interact with customers and colleagues alike. 75% of enterprises expect to fully operationalize AI within the next 4-years and the analysts regularly talk in terms of 40% improvement in productivity. No wonder Automation (a foundational step towards AI) is the number one technology trend for 2020 [Gartner].

Yet, despite high aspirations for a digital future, just 25% of executives feel prepared to make use of data [Accenture]. Put simply, the cart is before the horse; and the horse is tiring. Legacy data systems are no longer fit for purpose. For the majority it’s not too late to become a data-driven enterprise. But speed is critical as failure to protect the data foundations leaves firms ever more fragile, especially when economic certainty is a distant concept.

Join us to benchmark your strategy and explore how data-driven enterprises such as T-Mobile and Conde Nast are using microservices, DataOps, data engineering, and “database as a platform” to shape the future.