“ To get started with adding Gen AI capabilities to enterprise applications , it is critical to have an AI foundry to create custom Gen AI models and an enterprise-grade platform to run them in production anywhere ”
ERIK POUNDS SENIOR DIRECTOR OF ENTERPRISE AI , NVIDIA
that patient ’ s risk of 30-day readmission , as well as other clinical outcomes .
“ In the financial services industry , AI models analyse thousands of data streams in real-time , gleaning insights from market intelligence to create summarised research reports and deliver improved investment returns for investors and portfolio managers .”
A complete end-to-end platform for Gen AI To get started with adding Gen AI capabilities to enterprise applications ,
Pounds explains how it is critical to have an AI foundry to create custom Gen AI models and an enterprise-grade platform to run them in production anywhere .
“ A full-stack platform includes accelerated infrastructure , essential software that powers the end-to-end AI workflow , Gen AI tools , pre-trained foundation models that can be easily customised and solutions that connect in proprietary business data using RAG .
“ No business has to make the journey to Gen AI alone ,” he concludes . “ Industry experts and consulting eaders are building out practices to guide enterprises through adding Gen AI capabilities to their businesses . The industry will continue to evolve at a rapid pace , and enterprises with strong partnerships will be well positioned to adapt their strategies and lead their industry in Gen AI .”
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