AI Cloud

The year 2026 marks a decisive moment for India's Small and Medium Enterprises, as the convergence of government-led digitalization, intricate Goods and Services Tax compliance, and the permanent establishment of hybrid work models has created an environment where operational agility is paramount.

The relentless growth of data has forced organizations to rethink their entire data strategy, moving beyond traditional systems that can no longer keep pace with the volume, velocity, and variety of modern information. In this high-stakes environment, two cloud-native platforms, Databricks and

A staggering $30 billion investment has just redefined the artificial intelligence landscape, catapulting Anthropic to a $380 billion valuation and signaling a monumental pivot toward a single, high-stakes domain: the future of software development. This massive capital injection, led by GIC and

The relentless advancement of artificial intelligence, which continues to expand at a staggering rate of nearly 36% annually, has fundamentally reshaped the landscape of digital infrastructure, creating an insatiable demand for computational power that traditional cloud environments struggle to

The proliferation of AI agents has introduced a new paradigm in software development, yet their creation and orchestration often involve navigating a labyrinth of complex programmatic frameworks, custom logic, and intricate dependency management. Docker's new open-source framework, cagent , emerges

For many organizations, the conversation about moving to the cloud often starts not in a boardroom discussing future innovation, but in an IT department overwhelmed by the persistent failures of aging on-premise infrastructure. The catalyst is frequently the tangible pain of server slowdowns,