DATA & ANALYTICS While earlier generations of foundation models demonstrated impressive capabilities , their practical implementation often faced challenges related to cost , latency and integration complexity .
Amazon ’ s Nova lineup appears specifically designed to address these pain points .
Amazon ’ s AI investment strategy In the lead up to Amazon developing its own AI models with Nova , it has made significant investments in other AI companies .
Andy Jassy , Amazon ’ s CEO says that developers have a list of desires when it comes to improving AI : “ They want better latency . They want lower cost . They want the ability to do fine-tuning .”
As a result , Amazon has invested billions in Anthropic , as well as launching Amazon Q , the AI-powered assistant for work that can be customised for specific company needs .
Amazon Q combines Amazon ’ s AI capabilities to help businesses boost productivity and transform their operations , designed to assist with tasks such as coding , testing , upgrading , troubleshooting and security scanning for developers , while business users can use it for tailored conversations , problem-solving , content generation and task streamlining .
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