Architecting AI in the Enterprise: APIs and Applications
The views and content presented in this video are solely those of the speaker and do not reflect the opinions or positions of WSO2.
The rapid evolution of AI, particularly in generative AI, has significantly reshaped our work and the broader technological landscape. Central to this transformation is the advancements in Large Language Models (LLMs), which have greatly expanded the capabilities and applications of AI. AI can now efficiently accomplish tasks that once required extensive effort and years of model training.
Integrating these AI models with organizational data can lead to the creation of innovative digital experiences and an enhancement in overall efficiency. Consequently, an increasing number of companies are adopting AI technologies. However, integrating AI into an organization and architecting it involves overcoming a new set of challenges and acquiring knowledge in emerging technologies.
In this talk, we will discuss the process of architecting AI in the enterprise, highlighting the inherent challenges associated with integrating AI technologies and outlining strategies to overcome these challenges effectively.
Speaker
Malith Jayasinghe
Vice President - Research and AI,
WSO2
Malith is the head of research and AI at WSO2, orchestrating the company's AI initiatives and research efforts. He is instrumental in developing AI strategy and creating AI-powered product features, fostering a culture of innovation among the AI team for seamless project progression from inception to delivery. Malith also engages in collaborative research with academic institutions, aiding the advancement of computer science. He is a regular speaker at prominent developer events such as DeveloperWeek, the Global Big Data Conference, and DEV DAY, sharing insights and promoting knowledge exchange within the tech community. Malith has made significant academic contributions, publishing his work in journals like IEEE Transactions on Parallel and Distributed Systems (TPDS) and the Journal of Parallel and Distributed Computing (JPDC), and presenting at conferences such as IEEE Cluster, IEEE NCA, and DEBS. Malith holds a PhD in computer science from RMIT University in Australia.