We’re all participants in a global economy that’s not only interconnected, but increasingly intelligent as well. Cross-border commerce, logistics and finance — all previously discrete functions — often now take place through seamless digital networks. Their convergence has ushered in an intelligent economy, where cloud-based cognitive technologies shed light on opportunities to unlock value that never would have been possible.

The platforms that rely on digitised information have simplified communication and commerce and brought us where we are today: the intelligent enterprise. Everyone is embracing predictive analytics to extend their capabilities. Industry, of course, is no exception. To draw insights from the vast troves of data they accumulate, businesses are turning to artificial intelligence and other cloud-based technologies and unleashing tremendous value in the process. As the intelligent economy takes shape around us, the intelligent enterprise has emerged as its engine, turbocharging growth, fueling collaboration and accelerating innovation.

All organizations work to specific outcomes, and they juggle several business metrics and processes to achieve this, such as revenue, costs, time to market, process accuracy, and efficiency. Yet they have limited resources (money, time, people, and other assets). So, the problem boils down to making good decisions about resource allocation (what kind of resources, how many/much of them, what should they do, what capabilities do they need, etc.), and making those good decisions faster than competitors and faster than the market is changing.

 

With the advent of cloud-based technologies, aided by cognitive technologies, digital networks are giving rise to the intelligent enterprise, where data-driven insights equip businesses to predict not only what their customers want, but also how they want it delivered and when they need it to arrive.

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