To truly harness the transformative power of artificial intelligence (AI), enterprises must shift their focus from standalone AI applications to comprehensive AI systems that are deeply integrated into their existing workflows and processes.
6G is set to enable greater mobility speeds, Internet of Things (IoT) and ubiquitous connectivity from 2028–2030, as 3G is turned off.
As large language model (LLM)-based virtual assistants continue to permeate various aspects of enterprise operations, measuring their effectiveness becomes crucial and more complex. The key lies in developing a holistic measurement framework that combines traditional metrics with novel approaches tailored to each specific use case.
Unlock the power of seamless data integration for AI agents, enhancing customer service and operational efficiency.
Discover how Jeena & Company transformed its logistics operations by developing tailored in-house solutions that enhance efficiency and elevate service excellence.
Traditional risk management approaches are no longer sufficient to manage risks in an increasing dynamic and complex business landscape. Implementing a dynamic risk management approach and associated systems presents opportunities, but also poses significant organisational challenges.
Understanding the ethical landscape of artificial intelligence (AI) models is key for responsible deployment.
Understanding the impact of AI ethics through real-world examples is essential for building responsible AI systems. Let’s prioritise ethical considerations in AI development.
The company streamlined key applications and transitioned to virtual machines, overcoming technical debt and infrastructure challenges to improve efficiency by 60 per cent and optimise licensing by 90 per cent.
