How AI is helping in global water management
Technology is helping us navigate the uncertainties of nature, as AI for water management tackles crises like floods and droughts better, while managing water sustainably
Securing data safety in the generative AI era
In the digital age and with the emergence of generative AI, it’s never been more important to establish effective data protection and privacy
AI governance: Ensuring safe adoption of AI technologies
Understanding the risks associated with AI and the need for secure, ethical and compliant AI implementations
Are you data and cloud ready for generative AI?
Cloud enables GenAI, but data is the multiplier
The increasing use of artificial intelligence in business decisions
Artificial intelligence (AI) has been used to facilitate business decisions, but one Chinese company has turned over its chief executive role to an AI bot
Scaling AI from pilot to production: The crucial role of data governance
Organizations must take a holistic view of their data estates to effectively scale AI from pilot to production
Revolutionizing digital transformation with AI
The emergence of generative AI has enabled organizations to accelerate complex transformations and streamline program delivery processes. Discover what this could mean for packaged applications
Financial services' new frontier: Data and AI leading the way
Artificial intelligence and increasing data literacy are reshaping the concept of being “data-driven” in financial services
AI that delivers business impact: Maximizing ROI and unlocking true value
During a fireside chat at World Summit AI, Vijay Guntur, CTO and Head of Ecosystems at HCLTech, shared his view on how organizations can get the most out of AI
Achieving data-driven intelligence in IT cloud and infrastructure services
From legacy IT infrastructure to the Digital Foundation of an enterprise, here’s how organizations can achieve data-driven intelligence
Integrating AI with Life Sciences data
AI is transforming the life sciences industry by enhancing data integration, addressing ethical concerns, and ensuring secure, compliant AI applications across the pharma value chain.