Forrester identifies key challenges and opportunities for open-source software adoption in AI across the cloud ecosystem in its two recent reports titled The Key Challenges of Open-Source Software (OSS) in AI and Navigate the Open-Source AI Ecosystem in the Cloud.
OSS adoption
Forrester found that open-source frameworks foster transparency by providing access to algorithmic processes and data. This enables organisations to build systems with greater accountability, meet compliance standards, and address ethical considerations in AI development.
Furthermore, open-source AI tools empower organisations by providing access to advanced capabilities, thereby leveling the playing field and fostering innovation and effective competition.
Fostering collaboration
The reports also underscore the pivotal role of open collaboration and knowledge sharing among researchers, organisations, and the developer community in the growth, improvement, and ethical development of AI technologies.
An open-source ecosystem not only promotes inclusivity but also encourages rapid experimentation with AI tools, fostering an environment of innovation and dynamism.
Barriers to adoption
However, organisations find cost, governance, and complexity as key barriers to OSS AI adoption.
“The role of open-source software in enterprise AI cannot be understated,” said Charlie Dai, VP and principal analyst at Forrester. “While open-source AI democratises access to tools and enriches enterprise capabilities, its effective adoption depends heavily on mitigating challenges such as governance and operational complexity.
Cloud-native framework
Forrester reports found that cloud-native ecosystems powered by OSS drive enterprise AI innovation. With tools for containers, orchestration (like Kubernetes), and serverless computing, enterprises can customise and scale AI efforts rapidly while enabling seamless interoperability across infrastructures.
“For enterprises in APAC aiming to scale AI development, integrating OSS within a cloud-native framework is an essential strategy to drive innovation, flexibility, and security,” added Dai.
