Amazon may have started as a book distributor, but
now it's writing the book on how to use generative artificial intelligence across its businesses.
CEO Andy Jassy believes the company has a very good chance of changing the future of business
and advertising with help from generative artificial intelligence (GAI) technology.
The company has had the ability to dominate the AI industry right next to Google and Microsoft for more than 20 years. Executives are just now speaking publicly about it.
“As
generative AI gains momentum across industries, customers ask us how they can embrace this technology without risking data privacy or IP,” Amazon Web Services (AWS) CEO Adam Selipsky wrote
in a LinkedIn post published Wednesday. “We’re addressing that challenge with Amazon Bedrock, which ensures customer data is encrypted and not used for training models. We’re also
giving customers in every industry a wide range of tools and models to use, along with guidance from AWS experts to help them tailor a model to their specific needs.”
Similar to
Microsoft and Google, Amazon has a plan to invest in AI across all aspects of its business. AWS has made acquisitions to develop its own AI chips called Inferentia and Trainium that aim to make it
easier for developers to run large language models (LLM) in the cloud.
“Privacy and security are the mantras of every organization and we appreciate your efforts which will keep the
organization at the forefront of growth,” responding, Liakat Ali, data entry specialist at Outsourcing BD Institute, in a Linked in post. “Thank you for your quality thoughts.”
During Cannes, Jon Williams, global head of Agency BD and Solutions at AWS, spoke with Inside Performance about CodeWhisperer -- a
GAI coding companion that generates whole lines and full function code suggestions and prompts -- in an Interactive Disassembler (IDA) or code debugger. He also spoke about how AWS designs and builds
silicon in-house.
AWS is pouring $100 million into its AWS Generative
AI Innovation Center, which aims to help customers successfully build and deploy custom generative AI products and services.
In June, it introduced AppFabric, the no-code service that provides
the integration of multiple Software-as-a-Service (SaaS) applications. Later this year, the plan is to add a GAI feature allowing users to acquire answers, automate tasks and gain insights.
An
accelerator program for startups aims to drive new customer adoption through its AWS Generative AI Accelerator startup program. The startups have the opportunity to pitch demos to venture capitalists
in the AWS network and receive up to $300,000 in AWS cloud credits.