AWS Innovate AI/ML Edition
Accelerate innovation and unlock new possibilities with AI & machine learning on AWS
AWS Innovate AI/ML Edition
Accelerate innovation and unlock new possibilities with AI & machine learning on AWS


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Dive deeper, develop an effective strategy, and start leveraging the full power of machine learning technologies.

  • Accelerate AI/ML
  • The machine learning journey

    Businesses have the opportunity to unlock significant value across the organization with the help of machine learning and AI. Follow the proven path to machine learning success. Read the e-book to discover:

    • The full machine learning journey in 6 steps
    • How to transform investments into business-differentiating solutions
    • Inspiring stories of industry leaders who’ve successfully implemented machine learning
    • Insights from AWS machine learning experts

    Think of it as an instruction manual to guide you on your journey at every stage and help you accelerate machine learning initiatives to achieve measurable results.

    7 leading machine learning use cases

    Move beyond the hype and discover the tangible benefits of machine learning. In this e-book, we have outlined seven leading use cases where businesses have successfully applied machine learning to achieve fast, efficient, and measurable results. Read the e-book to learn more about these use cases and the requirements you should look for when identifying a suitable application for machine learning, such as:

    • Solves real business problems
    • Leverages sources of untapped data
    • Can be completed in a matter of months

    Download the e-book now to start or expand your machine learning journey.

    Achieving transformative business results with machine learning

    By providing the broadest and most complete set of machine learning (ML) services, AWS is able to meet its customers wherever they’re at in their ML journeys and help them achieve specific objectives.

    Read the e-book to learn why hundreds of thousands of organizations use AWS ML to help them:

    • Improve customer experiences
    • Optimize business operations
    • Accelerate innovation

    Accelerating machine learning innovation through security

    To build successful machine learning models, you often need datasets unique to your business. These datasets are extremely valuable assets and need to be secured throughout every step of machine learning—including data preparation, training, validation, and inference.

    Amazon SageMaker, a fully managed machine learning service, provides comprehensive security features that can help your organization:

    • Meet the strict security requirements of machine learning workloads
    • Secure datasets through every step of the process
    • Go from idea to production faster, more securely, and with a higher rate of success

    Read the e-book to learn how security features from Amazon SageMaker and the AWS Cloud can help you go from idea to production faster.

    Tackling our world's hardest problems with machine learning

    With the evolution of machine learning technologies, industries and categories are now using the power of machine learning for the benefit of society. Learn how innovators are tapping into the best practices, in-depth expertise, and powerful solutions of companies like AWS to launch new initiatives and solutions that are improving lives and protecting our planet right now, including:

    • Advances in medicine
    • Supporting our veterans
    • Housing the homeless
    • Reducing carbon emissions

    A strategic playbook for data, analytics, and machine learning

    If your organization is like most others, the pressure is on to use data, analytics, and machine learning to drive critical business decisions, including:

    • When to expand product offerings
    • How to introduce new revenue streams
    • Where to automate manual processes
    • How to optimize interactions with customers and business partners

    Download the IDG CIO Playbook for help refining your data-driven strategy so you can effectively scale analytics and machine learning across your enterprise. Get the guidance you need to accelerate innovation and drive your business forward with data.

    The AI & machine learning imperative

    Machine learning is transforming how businesses innovate with AI. Still, many leaders find it difficult to sift through the market hype in search of meaningful value. This guide can help decision makers at every stage of the journey confront and resolve challenges across the three key levels of AI adoption: leadership, organization, and talent.

  • ML infrastructure
  • Accelerate machine learning innovation with the right cloud services and infrastructure

    Machine learning has entered the mainstream, powering a wide range of benefits. Discover how you can build a solid foundation for machine learning success at your organization through more accurate forecasting, personalized customer experiences, and greater operational efficiency.

    Read more to learn about purpose-built services and powerful infrastructure from AWS can help you accelerate every step of the machine learning lifecycle:

    • Prepare data for machine learning quickly and easily
    • Build accurate machine learning models across multiple frameworks
    • Train machine learning models faster
    • Deploy machine learning models at the lowest possible cost

    Modernize machine learning development at scale

    Machine learning has entered the mainstream and organizations are leveraging its power to drive real-world innovation. Amazon SageMaker, the most comprehensive ML cloud service, provides scalable infrastructure and integrated tools to enable organizations modernize their ML development and reap the benefits of ML faster. In this e-book, discover the business outcomes of modernizing ML development using Amazon SageMaker including:

    • Acceleration of ML development
    • Responsible and secure use of ML
    • ML accessibility to builders of all ML skill levels
    • Reduction in the total cost of ownership

    Q&A: Choosing the right compute infrastructure for machine learning

    Now that the cloud has brought machine learning within reach for organizations big and small, many executives are asking, “What factors should I consider when choosing the right machine learning infrastructure and services for my objectives?” For the answers to that question and more, we turned to Dr. Saha, Vice President of machine learning services in Amazon AI. Access the Q&A for a closer look at:

    • The biggest challenges facing developers and organizations as they adopt machine learning
    • Guidance and best practices for evaluating the infrastructure requirements of your ML workloads
    • Amazon EC2 compute instances for ML model training and inference

    Realize superior business outcomes, developer efficiency, and accelerate innovation with high-performance, cost-efficient, and easy-to-use machine learning infrastructure

    IDC forecasts that spend on infrastructure to power AI/ML solutions will increase from $14.6 billion in 2020 to about $30.5 billion in 2024.

    Read this IDC whitepaper for a closer look at the most common challenges in deploying your AI/ML applications and learn what makes AWS an ideal partner for ML application development and deployment at scale. Discover how your organization can benefit from:

    • New high-performance and cost-efficient Amazon EC2 DL1 instances powered by Gaudi accelerators by Habana Labs, for training deep learning models
    • Getting started easily with powerful managed services such as Amazon SageMaker
    • A lower barrier to entry to using the cloud to scale ML applications and innovate faster
  • AI use cases
  • IDC MarketScape: Asia Pacific Vision Artificial Intelligence Software Platform 2021 Vendor Assessment

    AWS has been named a Leader in the inaugural IDC MarketScape: Asia Pacific (Excluding Japan) Vision AI Software Platform 2021 Vendor Assessment. The IDC MarketScape evaluated eight vendors across APEJ (Asia Pacific excluding Japan) and named AWS as a Leader in strategies and capabilities. In this excerpt, discover why the IDC MarketScape positioned AWS a leader and why the IDC MarketScape recommends computer vision decision makers should consider AWS for Vision AI services when there's a need to centrally plan vision AI capabilities in a large-scope initiative, such as digital transformation (DX) or when customers are seeking Composite capabilities for AI, data management, and cloud compute, with more availability of cloud regions.

    Read the excerpt to:

    • Understand and gain insights into the computer vision landscape across APEJ including emerging trends, adoption patterns, and new vision AI uses case in demand
    • Assess the strengths and cautions of AWS and its comprehensive services
    • Plan for the future with recommendations from the IDC MarketScape on when to consider AWS for computer vision services

    Drive business growth with personalization

    Personalizing content for a customer online is key to breaking through the noise. Yet brands face challenges that prevent them from providing these seamless, relevant experiences. The result is fractured communications and limited visibility into customer needs.

    Machine learning can help you offer more relevant customer recommendations and ultimately improve brand loyalty. Read the e-book to learn:

    • How machine learning can overcome challenges with traditional personalization efforts to increase engagement and conversion
    • How industries like Media and Entertainment (M&E) and Retail are leveraging personalization powered by machine learning
    • How a company used personalization with machine learning to increase video consumption by 20%

    Improving service and reducing costs in contact centers

    It’s time to leave behind the challenges of legacy contact centers—long wait times, misdirected calls, and resolution delays. Instead, deploy the power of machine learning and give customers the solutions they need.

    Read the e-book to learn how you can leverage AWS AI services to:

    • Reduce costs with self-service technologies
    • Increase agent productivity by reducing call volume
    • Identify business improvement opportunities by capturing better interaction data
    • Establish proficient call centers and create great customer experiences

    Set your document free

    Escape from manual document processing and find freedom in a machine learning solution. Work more efficiently with intelligent document processing.

    Read the e-book to learn how you can use machine learning to:

    • Curtail or even eliminate errors associated with manual data entry and processing
    • Enable faster document data processing to accomplish what once took months or weeks in a matter of days
    • Improve customer satisfaction by providing your clients with more accurate information faster and more efficiently
    • Boost productivity by helping workers spend more time on business-critical tasks

    Organizations are hungry to use data to grow and improve performance, but enterprises are struggling with search today. Knowledge is key to business insights, and there are hard costs and risks associated with time spent searching for information or faulty decisions made based on inaccurate information.

    Intelligent search powered by machine learning can help solve these challenges by leveraging natural language understanding and deep learning. Read the e-book to identify areas for organizational transformation, including:

    • Increase workforce productivity
    • Improve customer self-service and satisfaction
    • Accelerate research and development

    Why machine learning is essential in your fight against online fraud

    Any organization that conducts business online can fall victim to online fraud and must seriously consider the risk of revenue loss and damage to the brand. AWS is helping businesses like yours fight back. Read the e-book to learn how you can:

    • Develop your own solution in just days with Amazon SageMaker.
    • Integrate Amazon Fraud Detector with your business applications using an API

Featured Customers

Learn how these organizations are accelerating business outcomes with artificial intelligence and machine learning.

Learn more about AI & machine learning on AWS


customers use AWS for machine learning

Leader in IDC MarketScape: Vision Artificial Intelligence Software Platform 2021 Vendor Assessment


increase in team productivity using Amazon SageMaker


reduction in data labeling costs using Amazon SageMaker


of all deep learning projects in the cloud run on AWS

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