How to Decrease the Cost of Your AI Projects

The average ROI on AI investments is 1.3%. The companies that can deliver and maintain an AI solution at lower costs are much more likely to create substantial competitive differentiation.

Artificial intelligence (AI) is a driving force behind digital transformation. Digitally native companies reap immense value from custom AI solutions. This motivates virtually every commercial organization to try to implement an AI solution into their business processes. However, AI is an expensive and complex technology. Its ability to generate a meaningful return on investment (ROI) depends on your business, your goals, and the strategy you execute to achieve them. With the average ROI on AI investments at a mere 1.3%, the companies that can deliver and maintain an AI solution at lower costs than their peers are much more likely to create substantial competitive differentiation.

Many factors go into the cost of deploying artificial intelligence systems, and each business will have a different set of expenses depending on its needs. To understand the true cost of AI, it’s essential to break it down into its parts. This eBook provides some of the most common cost elements associated with AI systems and how to reduce your overall expenses without sacrificing value.

 

Key takeaways:

    • 7 common cost elements for AI projects
    • Why AI projects achieve low ROI (1.3%) and why 85% of projects fail
    • How to decrease AI project costs and implementation timelines to increase ROI
    • How Krista blends NLU and machine learning to help clients use their data models and integrate them into production.
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Luther Birdzel

Chief Data Scientist

About the Author

Luther is an entrepreneur, data scientist, and engineer passionate about helping organizations succeed with AI and machine learning.

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