Understanding the risks associated with AI and the need for secure, ethical and compliant AI implementations

As organizations continue to adopt AI, GenAI and the large datasets that power them, there are significant implications for governance practices

As AI continues to grow and evolve, organizations must start refining their responsible and ethical use of AI

The dynamic landscape of AI has allowed organizations to embrace disruption and drive progress through ethical AI, generative AI and machine learning

AI regulations must be prioritized by governments and organizations

Organizations must take a holistic view of their data estates to effectively scale AI from pilot to production

As ESG ambitions grow for organizations, AI-driven ESG capabilities can help enterprises accelerate their sustainability journeys and meet stakeholder expectations

Deceptive AI presents several risks, but there are solutions to counter this growing threat

In this Q&A, Ashish K. Gupta, Chief Growth Officer, Europe and Africa at HCLTech, speaks about the guardrails needed to ensure responsible use of AI

Generative artifical intelligence presents several short- and long-term challenges that organizations must address with regulations, trusted data and new policies

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

Financial services organizations need to prioritize trust and ethical standards as emerging technologies have brought fresh challenges to them in safeguarding sensitive data