Generative AI is seeing enterprise interest and early adoption enhancing efficiency, fostering innovation, and pushing the boundaries of possibility. It has the potential of reshaping industries – and fast!
However, alongside its immense potential, Generative AI also raises concerns. Ethical considerations surrounding data privacy and security come to the forefront, as powerful AI systems handle vast amounts of sensitive information.
Addressing these concerns through responsible AI development and thoughtful regulation will be crucial to harnessing the full transformative power of Generative AI.
Read on to find out the key challenges faced in implementing Generative AI and explore emerging use cases in industries such as Financial Services, Retail, Manufacturing, and Healthcare.
Download ‘Generative AI: Industry Adoption’ as a PDF
We are seeing a rise in social and environmental consciousness – especially in the younger generation. Their awareness of human rights, the environment and inclusion is growing exponentially – they want to create impact. Organisations are being driven to develop and demonstrate an Environmental, Social and Governance (ESG) consciousness in their actions and investments.
In this Ecosystm Snapshot, we cover some of the recent examples of how governments and individual advocates are creating a difference; and how financial organisations and tech providers are embracing ESG.
Read how organisations such as Sun Cable, Equinix, Microsoft, NVIDIA, Prologis, Zensung, Ergo, Munich Re, Natwest, JPMorgan, Credit Suisse and others are working to make the world a better place.
