At this year’s Amazon Web Services Public Sector Summit in Washington, DC, thought leaders from global cloud service providers shared the latest in cloud computing, best practices, and future trends. Nothing has grabbed more attention than the cloud service provider’s approach to artificial intelligence. Intelligence.
Generative artificial intelligence (AI) is an inevitable buzzword when it comes to technology conferences this year. Last week’s Amazon Web Services (AWS) Public Sector Summit in Washington DC was no exception. The summit was hosted by companies that have been at the forefront of AI development for years, from e-commerce recommendation algorithms to the virtual assistant Alexa.
At the two-day summit held on June 7th and 8th, AWS speakers struck a balance, highlighting upcoming generative AI applications that AWS offers for public sector customers, while discussing AI I warned the audience that Umbrella is far beyond generative.
“I encourage people to broaden their horizons and think holistically about opportunities across all spheres. It provides a great opportunity to improve,” said Max Peterson, VP of Public Sector Worldwide at AWS, in an interview with GovInsider.
But it was clear that the summit was meant to flesh out AWS’ approach to generative AI, from democratizing these applications to customers, to exploring their value to the public sector. .
Democratizing generative AI innovation
In his keynote, Peterson will democratize generative AI, from the open-source release of a top-ranked large-scale language model co-developed with the United Arab Emirates, to a new service that allows AWS customers to build and extend generative AI applications. highlighted AWS’ efforts to make quickly.
The Technology Innovation Institute, the applied research arm of the Advanced Technology Research Council in Abu Dhabi, recently launched Falcon-40B, a foundational large-scale language model (LLM). It currently has the best performance among open source LLMs.
Falcon-40B was trained on Amazon SageMaker, an AWS service that allows developers to build, train, and deploy machine learning models.
As of June 7, this model is available to developers via Amazon SageMaker JumpStart, where they can use it to build their own customized generative AI applications without starting from scratch. can.
Peterson also announced the release of Amazon BedRock, which enables AWS customers to quickly, safely, and easily build and scale generative AI models. The service allows users to leverage his five base models, such as text and image generation models, to create and deploy their own customized applications privately trained on their own data.
“Customers can bring their corporate and government data into models in their private virtual cloud and train the models to deliver enhanced results tailored to their specific use cases,” Peterson explains to GovInsider.
For example, tax authorities can safely train such existing models based on national tax laws and deploy them as chatbots that can provide tax advice to citizens.
Third, Peterson announced the release of Amazon CodeWhisperer, a service that enables developers to generate the best code for their task and identify vulnerabilities in their code in real time, increasing productivity by 30%. rice field.
Finally, AWS announced an experience-based acceleration program to train customers in generative AI skills, from developing conversational citizen experiences to implementing best practices.
Generative AI gaining traction in the US public sector
In addition to AWS’ recent generative AI announcement, panel speakers on generative AI discussed how generative AI applications are beginning to take root within the US federal government.
Bratin Saha, vice president of ML and Engines at AWS, said AI has rapidly progressed from being able to provide insights and predict future trends to being a generator and a virtual assistant to end users. said.
For example, the Department of Veterans Affairs is now using generative AI to better communicate the benefits veterans receive, he said. The company is now working with Canadian tax authorities to offer a similar service.
Kathleen Featheringham, vice president of AI and machine learning at systems integrator Maximus, said the company is working with the government to identify potential AI applications within federal services. She emphasized that this could range from writing the first draft of a job description to recommending secure code.
The panel was also attended by Republican Senator Mike Rounds, co-chair of the Senate AI Caucus, and Rep. became.
“There is nothing particularly partisan about AI,” he previously said. First part of federal law written by ChatGPT To draw attention to the need to regulate technology. Liu said he is currently working on creating a bipartisan commission that can make recommendations on AI regulation in the United States.
Both politicians affirmed the need for bipartisan cooperation in the area of AI regulation and noted the importance of better understanding the technology before introducing significant legislation.
AI applications deployed in extreme environments
Finally, speakers highlighted how AWS is beginning to deploy AI applications in extreme environments, from space to the battlefield.
In a conversation with GovInsider, Peterson said he sees big opportunities for cloud providers to help governments in areas traditionally considered the domain of large-scale government projects, such as space technology. Told.
For example, AWS currently runs AI applications on satellites in orbit.
The model allows satellites to quickly identify and remove useless imagery, allowing ground station personnel to receive only the most useful images, he said. This removed his third of the unusable photos, increasing efficiency by 30%.
He stressed that such edge computing applications could benefit people working in a variety of extreme environments, including “environmental researchers, military personnel, and disaster responders.”
At the summit, Peterson also announced that AWS will work with the Department of Defense on a joint combat cloud capabilities contract. This will enable the Department of Defense to leverage cloud services from the enterprise level to the tactical edge, including the military’s most extreme environments.
The division will have access to AWS Snow devices that provide compute, storage, and other services in a remote, limited environment. His newly announced AWS Snowblade device, unveiled at the summit, is designed to meet the US military’s requirements for heavy-duty equipment.
