Worldwide spending on enterprise AI is expected to grow to $37.5 billion this year. As investments increase dramatically, it’s time to evaluate how well this money is being spent. This is especially true in light of new evidence that indicates that we’re facing an epidemic that’s preventing AI models from being deployed into production where they can have an impact. Some estimates report that as many as 90% of models are not deployed. How can we fix this and make the investments pay off?
Dr. Ingo Mierswa has been working in data science for 20 years on hundreds of AI and ML projects and has seen it all. In this webinar, Ingo will dissect the issues that plague organizations that are striving to become ‘more AI-driven’ and prevent them from executing projects that have the potential to deliver incredible returns. The complexity of data science often makes it hard to get accurate answers about why projects fail – but Ingo breaks it down in simple terms and shows you how to make it all work.
Register for the webinar to learn more about:
- The model deployment process, broken down into easy-to-remember stages
- The challenges that data science teams face at every stage
- The most common reasons for failure to operationalize models and deliver impact
Date: Thursday, October 24
Time: 11am ET | 4pm CET
Speaker: Dr. Ingo Mierswa, Founder, RapidMiner