Disruption In Data: Why Digital Migrations Fail And How To Succeed The Disruptor podcast

Disruption in Data: Why Digital Migrations Fail and How to Succeed

24d ago 21:58

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Welcome to another edition of The Disruptor Podcast!
In this episode, your host, John Kundtz, interviews Caitlyn Truong, CEO and Co-founder of Zengines.
This is part one of our two-part series.

Today's show explores how Zengines disrupts organizations' efforts to automate the end-to-end data conversion process.
Caitlyn shares information from her background in electrical and computer engineering and consulting. She often saw the problems with data conversion and migration in large organizations, especially in financial services.
This led her to co-found Zengines to help ensure data stays useful during modernization.
Points from the Discussion:
Understanding Data Migration: It includes all steps to get a new system running, from getting data to testing.
Common Pitfalls: Not accounting for all steps, lack of a plan, not using tools, and not underestimating the work effort.
Advice for Smoother Migration: Understand all steps, plan clearly, use tools (especially AI), empower business analysts, and work in steps.
Zengines' Disruptive Way:

Zengines gives business analysts AI tools to automate mapping and changing data.
This "shift left" approach reduces the need for large teams, making data conversion faster and more efficient by letting the business directly influence data changes.
This approach moves the work earlier in the process, making data conversion less expensive, more productive, and quicker by letting the business directly affect how data is changed.

To learn more about Caitlyn and Zengines, visit their website (Zengines.AI) and connect with Caitlyn on LinkedIn.
Stay tuned for Part 2 of this conversation, where Caitlyn and I shift gears and explore the challenges many enterprises face with Mainframe Modernization.
You won't want to miss it.

Comments or Questions? Send us a text

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Chapters

1. Introduction to the Disruptor Podcast (00:00:00)

2. Meet Caitlyn Truong: CEO of Zengines (00:00:29)

3. Understanding Data Migration (00:02:48)

4. Common Pitfalls in Data Migration (00:04:36)

5. Guidance for Smooth Data Migration (00:07:03)

6. Leveraging AI in Data Migration (00:07:59)

7. Zengines' Approach to Data Migration (00:09:44)

8. Empowering Business Analysts (00:11:27)

9. Final Thoughts and Contact Information (00:17:19)

10. Conclusion and Upcoming Topics (00:21:30)

33 episodes

Zengines gives business analysts AI tools to automate mapping and changing data.
This "shift left" approach reduces the need for large teams, making data conversion faster and more efficient by letting the business directly influence data changes.
This approach moves the work earlier in the process, making data conversion less expensive, more productive, and quicker by letting the business directly affect how data is changed.