Synopsis
AWS executives believe that widespread adoption of cloud computing will help banking and startups bring their ideas to life. They highlighted the importance of offering a variety of generative AI models to meet diverse customer needs. With over 1,000 use cases running, the cloud major provides access to not just models built by AWS but from various companies like Meta and Anthropic. ETtech (L-R) Kiran Jagannath, head of FSI and conglomerates and Kumara Raghavan, head of startups at AWS India and South Asia When it comes to Generative AI, being able to pick from a variety of models is a key requirement for enterprise customers and startups looking to optimise each use case to drive business outcomes, according to executives from cloud computing giant AWS. “There is no one LLM (large language model) that will meet the needs of all customers,” said Kumara Raghavan, head, startups at AWS India and South Asia.
The choice depends not only on whether a text, image or video-based model is needed, but also in terms of the speed, accuracy and costs involved.
Raghavan said AWS’s parent and ecommerce giant Amazon’s ‘flywheel effect’ thesis holds true for them as well. “The idea is that when you offer more choice to customers on the platform, more customers come over, and when you have more customers, you have the ability to reduce costs further because of the economies of scale — in turn, attracting more choice for people,” he said.
A question of economy
Amazon itself has more than 1,000 GenAI use cases running, leveraging a variety of LLMs — even within each use case, Raghavan noted. “When customers have choice, the whole pie really expands,” he said, adding that as of November 14, AWS prices are 151 times lower since their launch in 2006.
Therefore, it’s not just models built by AWS but also those availab
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