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Advantage ROI: Optimize AI Programs for Short-Term Gains

Jerry Kurtz
2020-06-24

Let’s say you’re working on an AI program where you’re implementing and scaling dozens of AI business use cases. In addition, you are also spending millions of dollars to enable these use cases by transforming the underlying data and moving it to the cloud. For years, you’ve been housing data in an expensive, on-premise data warehouse, but it’s time to get that data quality up while also reducing data/AI costs over time by shifting to cloud technology. Based on your early forecasts for this project, your ROI will be 2x the original cost, with payback that is approximately 12-18 months away.

This may seem like a comfortable position to be in, but if you’re in a similar situation, now may be a good time to revisit your roadmap. The current disruption from COVID-19 is forcing businesses to re-think their three-year plans and optimize short-term gains by exponentially increasing value while containing costs. Take a refreshed look at your AI program and ask yourself: “How can I get the ROI to be at least 5X the cost with payback in less than 6 months?” The guiding principle behind this is something we refer to as “Advantage ROI.”

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Jerry Kurtz

Expert in Advanced Analytics, BPO Solutions, Digital Transformation, ERP, Supply Chain Management

I enjoy working with AI and analytics-driven programs. Delivering benefits at 10 times the cost is a gamechanger. I am happy to deliver results that exceed the expectations of our clients. I collaborate with our partners to solve highly complex business problems.
My team and I work to provide solutions in AI, advanced analytics, data science, machine learning, business intelligence, data transformation, master data management, and data governance. It is vital to keep up with emerging technologies. Only then are you able to take advantage of the new opportunities which emerge every day.
I also have experience in delivering big-data transformations to clients in the domains of internet of things (IoT) analytics, supply chain digitization, and marketing/front-office analytics. Some of my recent work includes:
Launching IoT analytics offerings globally for a Fortune 50 technology/services company
Supporting several IoT-related solution implementations for a number of clients in the manufacturing sector
Before joining Capgemini, I worked for several large and diverse organizations. My experience in management consulting spans 30 years. I spent six years in Business Services, another six years in enterprise resource planning, and two years working for consumer-packaged goods and retail industry leaders.
When I am not working, I enjoy spending time with my wife Amy, and our children, Emily and Adam. I am a big fan of golf and swimming, and I am the lead singer in a band. I also lived and worked for five years in Japan, and love experiencing new cultures.