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
  

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
  

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

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
  

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%
  

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
  

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
  

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