Determining ROI of technology investments

Over the last several decades, enterprise customers and technology vendors have invested heavily in technology infrastructures, platforms, and software applications. In the last 10-15 years, most organizations have abandoned granular measurement of ROI from technology. Investments in technologies, such as e-commerce, can be easily correlated with increases in revenues and profits. Investments in other technologies, such as CRM, have helped to provide insights into sales cycles and drive the cost of sales.

However, in just the last several years, Neuralytix research suggests that the vast amount of investments in AI have dramatically increased spending on technology. In many cases, investments directly attributed to AI projects increase technology spending by more than 25%. 

Despite the massive investments in AI projects, the economics of AI has yet to be proven. In fact, in most cases, organizations have not even created metrics, let alone measure the return on investments in AI.

Neuralytix posits that executives and boardrooms will soon demand to see how AI investments have benefited their organizations. In fact, we believe that senior leadership will expect to see a direct correlation between AI investments and a positive return on that investment.

We examine the economics of technology investments, particularly in AI. We will focus on the  economics of the reality and status of AI projects. Neuralytix can help organizations create the relevant metrics, independently measure, and help organizations forecast how they can meet the expectations of executives and boardrooms.

In most cases, enterprises will still need to make further investments to accelerate their AI projects to demonstrate a positive ROI that can be correlated with the investments the organization has committed. We look at the technologies that enterprises should consider, the vendors who provide these innovations, and how many of these technologies can benefit organizations beyond AI projects.