Use Risk Analysis to Evaluate Your AI Partner
- Posted by GM, Digital Solutions
- On January 19, 2021
A Daitan E-Book
Finding the right AI partner takes critical evaluation and risk analysis before you can select the next important member of your team.
Data science engineers face a host of challenges and obstacles when we strive to incorporate AI into our processes and systems in order to leverage machine learning for our business. In fact, there are several steps we must take in order to achieve the success we envision for our final results.
That’s why we’ve taken the time to break things down for you and explain all of the factors that come into play when selecting an AI partner. After our experience with machine learning teams, we’ve noticed the various risks that can impact our goals when we rely on a partner to be our expert. So, we’ve developed a risk analysis assessment for you to evaluate your AI candidates, to help you identify the best partner for your team and for your goals.
Overall, our e-book will give context and detail to:
- The 6 types of risks that create the most common reasons for AI projects failure
- How to assess your own AI project and identify where you need to fill in the gaps
- The exact questions you should be posing to AI project vendors as you are assessing their fit for your project
To access our risk-analysis assessment, and begin your journey to finding your ideal AI partner, you can download our ebook in the link below: