By Viswanath, CTO, Atlassian
In the next 5 years, increased data and privacy regulation will have a big impact on the way we design AI/ML models. As a result, investment in data management is going to be critical in determining the success of AI systems. Companies that have better data management frameworks, platforms and systems will win in building effective AI tools.
SaaS companies won’t survive without a strong ecosystem. As the software industry consolidates, ecosystems will be even more important, and security will become a blind spot. The reality is that customers are using services from different providers. In order to succeed, software companies need to make sure that their products will work well with others, and that means building a strong ecosystem. However, as ecosystems scale, vulnerabilities will emerge and go unnoticed. Companies will need to be persistent in providing the highest level of security and privacy controls across the entire ecosystem at all times.
Mike Tria, Head of Platform, Atlassian
Software companies will be held to higher numbers of reliability. In fact, three 9's as a reliability metric (or 99.9% uptime) will be laughed at in a few years. As companies rely more on cloud services to collaborate remotely, customers will have higher expectations for uptime. Companies that don’t treat reliability as a feature will be left in the dust.
Automation will be inevitable in 2021. As more engineering organizations migrate their infrastructure to the cloud and adopt a microservices architecture, the next challenge they’ll face is figuring out how to manage and keep pace with an unwieldy, distributed system. Whereas, automation has been seen as an emerging tool in the past, it will become essential for survival in 2021.