As organizations begin their exploratory journey with generative AI, they realize success relies on data and the cloud

To effectively scale innovation ambitions, organizations must connect the dots by bridging the silos between data, AI and infrastructure

Data security is crucial in the development and deployment of generative AI solutions

Artificial intelligence and increasing data literacy are reshaping the concept of being “data-driven” in financial services

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

The SaaS industry has been growing exponentially and AI can help accelerate the industry’s applications

Cloud enables GenAI, but data is the multiplier

In the digital age and with the emergence of generative AI, it’s never been more important to establish effective data protection and privacy

From legacy IT infrastructure to the Digital Foundation of an enterprise, here’s how organizations can achieve data-driven intelligence

How can organizations harness dynamic market and customer demands with adaptive analytics?

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

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