AWS recommendation to implement GenAI across these use cases
Recommendation
Qualify opportunities
Develop comprehensive business case to guide investments in GenAI
Add rigour while qualifying opportunities; Allocate resources to the ones that best serve customer needs and interests
Robust design thinking ecosystem Best-in class programs for design thinking to help support client ideation and ability to leverage inhouse professional service teams
Leverage the value of data
GenAI has the potential to eliminate data siloes by democratizing business functions
Investing in platforms with large datasets can harness advanced analytics and AI technologies to uncover hidden patterns, trends, and correlations
Extensive experience 17+ years experience in implementing AI/ML across Amazon businesses at scale
Drive Robust Model choice decision
Model choice should be based on clear use cases, include a testing phase and be evaluated along topics such as deployment needs, RoI and cost-effectiveness
Optionality to choose from various models enables firms to tailor their AI solutions to specific customer needs and contexts
Broadest choice1,000s of models to choose from to achieve best performance, cost-efficiency, and flexibility from AI21 Labs, Anthropic, Cohere, Amazon Titan etc.
Description
AWS Value proposition
Invest in secure platforms that ensure ethical AI use
Investing in secure AI platforms ensures adherence to regulatory standards, avoiding legal penalties and negative publicity
Using AI responsibly demonstrates commitment to protecting customer data, building confidence amongst customers, stakeholders, and regulatory bodies
Best-in-class security capabilities300+ Services including security, compliance, and governance; leverage GenAI applications and data to establish and maintain robust security protocols
Deliver customer satisfaction in most efficient and cost effective way
Train faster and maximise quality of output to enhance model accuracy and precision
Enhanced performance of GenAI drives greater personalization of customer experiences, enhancing customer loyalty and lifetime value
Optimized hardware+50% more efficiency of Inferentia and Tranium designed by AWS over comparable EC2 instances
