Building a tool customers actually want to use

When we onboarded our first set of beta customers, we were excited to showcase how our synthetic data generation tool works, help them generate data with AI, and gather feedback before going GA. However, it wasn’t long before one customer dropped out of beta, citing that the tool was too difficult to use.

This feedback was a wake-up call for our team. We soon realized that this challenge wasn’t unique to us. In fact, Gartner Peer Insights revealed that for every single vendor, the most common dislikes were about the complexity of setting up and getting started, which validated what we were hearing from our own customers. Determined to address this, our team focused on simplifying the generation process. We introduced features like smart database sizing, automated check constraint generation, and an "AI everything" setting to enable users to get started with no manual configuration.

Through this process, we learned valuable lessons about simplifying generation setup: never assume that the user has perfect knowledge of their database, never sign an issue off as solved just because it can be handled by manual configurations, and always work closely with users to learn how they use your tool. In this talk, we’ll share what worked, what didn’t, and the insights we gained while testing our simplified setup—a crucial step in our roadmap to going GA.

Evaluating the realism of synthetic data in DevOps

Synthetic data is rapidly gaining traction, but evaluating its quality remains complex. What works for one application may not be suitable for another. Given its critical role in training machine learning models, testing applications, and ensuring data privacy, it’s essential to assess how well synthetic data mirrors real-world data while safeguarding sensitive information. DevOps and data teams must prioritize the right metrics in testing environments. In this session, we’ll provide practical insights into assessing and applying synthetic data effectively, helping attendees understand its limitations and key considerations for different use cases.

Accelerate Your Digital Career with the Global Talent Visa

The Global Talent Visa (GTV) is an opportunity for exceptional talent in digital technology to live and work abroad. The application process can be complex, but it is possible to succeed with careful preparation.

In this webinar, Maryleen & Miracle will share their unique experience of obtaining both the UK and Australia GTVs through the digital technology route. They will compare the two visas and discuss the pros and cons of each, as well as provide insights into the key requirements and considerations for applying and renewing.

Topics covered
*Australia and the UK as potential relocation spots for digital technology professionals
*Specific criteria for qualifying for the GTV in digital technology
*Steps involved in the GTV application process for digital technology professionals
*Challenges faced by digital technology professionals applying for the GTV
*Specific strategies or best practices found helpful during the GTV application process
*Advice for digital technology professionals considering applying for the GTV

[Panel] Future of AI