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Document #US43529118TM ©2020 IDC. www.idc.com | Page 18 IDC White Paper | Accelerate Machine Learning Development to Build Intelligent Applications Faster Organizations should make sure the intelligent, AI- enabled solution that they are building will be able to help achieve the desired business outcome and/or address the issues that the solution is planned to overcome utilizing deep learning. » Assistance with data. Some vendors are either providing curated third-party data sets or evaluating doing so to assist developers with creating the kinds of cutting-edge predictive and prescriptive machine learning models that customers are looking for. For those that have their own data, many cloud vendors are now also offering data curation and integration services that make creating well- formulated data sets easier. Amazon SageMaker Ground Truth provides data labeling services for exactly this purpose. AWS also hosts a number of open public data sets on a variety of topics (geospatial, environmental, genomics, life sciences, regulatory, and statistical data) as well as general-purpose data for machine learning such as images, web crawls, news, and web video. » Education. Providing training and courses on how developers can best make use of these tools allows developers to get up and running without having to do everything themselves. With machine learning/deep learning services such as Amazon SageMaker, a little education can make nontraditional developers and data scientists productive and enable them to build and deploy their own deep learning models. Amazon offers a full suite of training and education options for machine learning developers, such as self-paced digital training, classroom training, and even AWS certification in machine learning. In addition, AWS has made available tools such as a deep learning-enabled video camera for developers to learn about building AI applications called AWS DeepLens, a deep learning-enabled model race car called AWS DeepRacer and even an ML- enabled keyboard called AWS DeepComposer. Designed specifically to educate developers, these tools include tutorials, sample code, and training data that can be used to get started on building AI models, all without having to write a single line of code. » Consulting and advisory services. These services will help developers become productive and will help them with challenges related to the kinds of data that they are consuming. An example of this is the new AI and machine learning competency for the AWS Partner Network. Amazon is certifying partners in machine learning/deep learning with this program today. In addition, AWS has created the Amazon Machine Learning Solutions Lab to help organizations develop AI applications more quickly and easily. The ML Solutions Lab pairs enterprise teams with AWS machine learning experts to prepare data, build and train models, and put models into production. Great intelligent, AI-enabled applications require both advanced technology and solid design judgment. Organizations should make sure the intelligent, AI- enabled solution that they are building will be able to help achieve the desired business outcome and/or address the issues that the solution is planned to overcome utilizing deep learning. Engage in-house subject matter experts, the right