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The Cloud Advantage for AI
Artificial intelligence (AI) is becoming increasingly important as organizations across industries look to gain insights from their data and automate processes all while keeping pace with innovation. However, adopting AI can be challenging, especially for organizations that may lack the budget, resources and expertise to implement AI solutions on their own data center infrastructure.
The Cloud Advantage for AI
Unveiling the True Potential of Cloud AI With AWS
Navigating the Waters of GenAI with WWT & AWS
AWS Cloud Migration
AWS EKS Solutions
VMware on AWS
WWT with Amazon and Generative AI
Expertise in AWS and Generative AI
Generative AI is a rapidly growing field that has the potential to revolutionize the way businesses operate. With the power of AWS, businesses can now harness the power of generative AI to create new and innovative solutions. Generative AI refers to a class of machine learning algorithms that can generate new data that is similar to a given dataset. This can be used for a wide range of applications, from generating realistic images and text to creating new music and art. AWS offers a range of tools and services that make it easy for businesses to be successful with generative AI.
World Wide Technology (WWT) and Amazon Web Services (AWS) offer a comprehensive suite of solutions to guide you in your AI journey and ensure success. Leveraging WWT's extensive experience and AWS's robust AI services, we provide innovative cloud solutions designed to meet the strategic demands of enterprise and public sector customers.
WWT has invested $500M in AI and has over 10 years of experience delivering AI solutions. This expertise, combined with AWS's leading AI services such as Amazon Bedrock, Amazon Kendra, and Amazon Q, results in innovative cloud solutions tailored to your needs. Our solutions include large language model (LLM)-driven document searches and summarization, LLM-based data visualization, and automation of core services.
Building Solutions with AWS Services
Amazon SageMaker
Amazon SageMaker allows you to build, train, and deploy machine learning models at scale. WWT's experts can help you leverage SageMaker to create custom AI solutions tailored to your specific data and use cases.
Amazon Bedrock
Amazon Bedrock provides a user-friendly platform for testing and integrating various large language models (LLMs). WWT can assist you in utilizing Bedrock to develop and deploy sophisticated AI applications.
Amazon Q
Amazon Q simplifies the implementation of natural language processing (NLP) capabilities, making it ideal for rapid deployment and achieving quick ROI. WWT's expertise ensures that you can quickly integrate and benefit from Amazon Q's capabilities.
Use Cases and Applications
WWT has a proven track record of building out various AI-driven applications, including:
- ChatBots: Enhance customer interactions and support with intelligent, responsive chatbots.
- Enterprise and Organization Intelligent Search Systems: Improve information retrieval and decision-making with advanced search capabilities powered by AI.
AI at the Edge
With our "edge in a box" solution, WWT and AWS provide an integrated approach to managing on-premises and cloud data. This facilitates advanced analytics and machine learning at the edge, supporting use cases such as computer vision, digital twins, and inference at the edge.
Cloud Migration and Cost Management
WWT offers comprehensive services to assist customers in migrating and modernizing applications and data with AWS. Our structured methodologies ensure a seamless transition to AWS, optimizing costs and accelerating innovation. Additionally, we provide sophisticated tools and services designed to optimize spending and enhance operational efficiency in cloud environments. We leverage Amazon Q Developer edition to help convert legacy code as well as other tools that use AI to assist in migrations. We also can implement Amazon Quicksight Q to assist in cost analysis and help you improve on your usage patterns (and therefore manage cost.)
Contact Us
Ready to get started on your AI journey with WWT and AWS? Contact one of our experts today to explore how we can help you build and deploy cutting-edge AI solutions tailored to your needs.
For more information, visit our AWS collaboration page.
Generative AI is a class of machine learning algorithms that can create new data similar to a given dataset. It can be used for various purposes, such as generating images, text, music, and art.
AWS provides a range of tools and services that make it easy for businesses to get started with generative AI. These include Amazon SageMaker, which allows building, training, and deploying machine learning models at scale, and pre-trained AI services, such as Amazon Rekognition and Amazon Polly, which enable adding AI capabilities to applications.
Generative AI on AWS offers businesses a powerful tool for innovation and growth. With the range of tools and services available on AWS, businesses can easily get started with generative AI and begin reaping the benefits, such as creating new and innovative solutions, enhancing customer experience, and optimizing operational efficiency.
Amazon Bedrock, a foundational element of Amazon's digital ecosystem, is a robust technological infrastructure that supports the company's operations and strategies across various domains. It comprises several key components, such as cloud computing infrastructure (AWS), e-commerce platform, data analytics and machine learning, supply chain management, and digital content and media services.
Amazon Bedrock enables the company to achieve scalability, enhance customer experience, and facilitate innovation. By integrating cutting-edge technologies and leveraging economies of scale, Amazon Bedrock not only supports the company's current operations but also positions it strategically for future growth and competitive advantage in the digital marketplace.
Amazon Q, a strategic initiative by Amazon, represents a multifaceted approach aimed at enhancing operational efficiency, customer satisfaction, and market competitiveness. It encompasses several key components and principles, such as quality-driven operations, quantitative metrics and analytics, quadrant strategy, and quick response and adaptability.
Amazon Q involves strategic planning, cross-functional collaboration, and continuous refinement of operational processes. Key strategies include integrated technology solutions, customer-centric innovation, and operational excellence. The implementation of Amazon Q has yielded significant impacts across Amazon's business ecosystem, such as enhanced operational efficiency, improved customer satisfaction, and market leadership and innovation.
Service Highlight - Amazon Bedrock
In the landscape of digital giants, Amazon stands out not only for its expansive product offerings and customer-centric approach but also for its robust technological infrastructure known as Amazon Bedrock. Initially established to streamline operations and enhance customer experience, Amazon Bedrock has evolved into a multifaceted system underpinning the company's diverse services and innovations.
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