As businesses embrace cutting-edge tech, challenges like data sovereignty and AI are taking centre stage.
Over the past six months, the AI industry has seen significant advancements, with competing models such as Meta’s Luma and Google’s Gemini entering the market.
However, these developments come with a reality check. Building large language models (LLMs) requires substantial computing power and time, making immediate returns on investment unlikely.
One promising innovation is agentic AI, a step beyond generative AI, which enables proactive, automated solutions.
For instance, this technology could stabilise IT systems autonomously, diagnosing and resolving issues without human intervention.
Data sovereignty has also emerged as a key focus, with increasing emphasis on keeping data within national borders to comply with local laws. This has driven the adoption of sovereign clouds and private data centres, ensuring secure and localised data processing for AI development.
Deepak Ajmani, Vice President of ANZ & APAC Emerging Markets at Confluent, joins to discuss the evolving business landscape.
