AI as a Service (AIaaS)
As AI continues its meteoric rise, AIaaS makes the technology accessible by eliminating the need for specialised skills or infrastructure. This article explores the drivers and benefits of AIaaS in detail, providing key considerations for companies exploring this emerging service model.
Cyber AI and Autonomous Cybersecurity
Examine case studies of companies implementing these AI cybersecurity systems and analyze the benefits and potential risks involved.
Expansion of Hyperscale Data Centers
The proliferation of these gargantuan facilities is designed to support massive data processing needs with optimum efficiency and scalability. Tech behemoths like AWS, Google, and Microsoft are leading the charge, pushing into countries like Malaysia, Indonesia, and India to establish the infrastructure required to deliver their services in these markets.
Sovereign Cloud Adoption
By 2025, industry analysts predict a sizeable portion of major companies will have transitioned some workloads to domestic cloud providers. This trend towards sovereign clouds presents both opportunities and challenges which one must evaluate.
Quantum Cryptography and Post-Quantum Cryptography
Given the potential of quantum computing to compromise widely used encryption standards, solutions that mitigate this threat are essential. Mastering these leading-edge technologies will prove to be invaluable.
Data Privacy and Security Enhancements
Expect to see more investment in securing networks, encrypting data and training staff on best practices.
Generative AI Integration in Cloud Platforms
he successful integration of generative AI into cloud architecture hinges on understanding both the immense potential and possible pitfalls. This article provides key guidance to inform strategies as businesses navigate integrating generative AI into their cloud platforms.