AWS Machine Learning Embark is an immersive machine learning (ML) enablement program that helps companies jump-start their ML journey. It combines the training, coaching, and implementation support needed to upskill teams on ML and accelerate business outcomes.
Getting started with ML is equal parts technology and cultural change. Many organizations struggle to launch ML initiatives and gain meaningful adoption because there aren’t well understood patterns to follow. Challenges include identifying the most impactful projects to tackle, developing a workforce with the right skills, and cultivating a culture that encourages an ML-first mindset. The AWS ML Embark program is designed to help companies overcome these common challenges and launch ML projects with success.
Based on Amazon’s own journey to put ML first in all areas of its business, and proven success helping organizations adopt ML, the AWS ML Embark program equips your teams with the practical skills, knowledge and strategies to successfully launch and accelerate adoption of ML within your organization.
"AWS ML Embark and AWS services offer a comprehensive suite of enablement services and tools to help you develop your career, learn new skills, and develop your craftsmanship. Looking back, it’s clear to me that it would have taken us a lot longer to get started without the perspectives brought by instructors of the AWS ML Embark program. The program offered helpful information and inspired our new ML professionals to take on AI/ML projects, advance their careers, and discover new horizons.”
- Mikael Graindorge
Sales Operations Leader, Thermo Fisher Scientific
"We were excited to work with colleagues from the Amazon Machine Learning Solutions Lab as part of the ML Embark programme. They provided technical skills and experience which enabled us to explore a complex categorisation problem that offers improved insight into how Earth’s biosphere could be affected by climate change. Our climate models generate huge volumes of data, and the ability to extract added value from it is essential for the provision of advice to our government and commercial stakeholders. This demonstration of the application of machine learning techniques to research projects has supported the further development of these skills across the Met Office.”
- Professor Albert Klein Tank
Head of the Met Office Hadley Centre for Climate Science and Services
“Xactware is undergoing a process of transforming our operations by incorporating machine learning to improve the efficiency of insurance claims processing. Working with the Amazon Machine Learning Solutions Lab (MLSL) team, we were able to automate the matching of items entered on an insurance claims form with an internal database of products and also build a model to improve the search results for matching items to claims within the database. Using Amazon Comprehend and Amazon SageMaker custom classification models, we were able to predict the top categories of an insured item with 96% accuracy and improve overall search results by 5 times, reducing the burden of choice for the insurance adjuster when processing claims.”
- Aaron Brunko
Senior VP of Product, Xactware (A Verisk business)
“The AWS ML Solutions Lab worked with us through every step of the process, from a discovery workshop to define the business use cases to the building and selection of appropriate ML models to the actual deployment. Using Amazon SageMaker, the machine learning solution reduced our employee time spent doing manual inspection in half. With the Solutions Lab’s help, we are now able to optimize the SageMaker model ourselves going forward as conditions change.”
- Bill Lee
Assistant Vice President, Formosa Plastics Corporation
"ML Embark program was a great launch pad for initiating machine learning solution-based product initiatives that crossed organizational boundaries within Wolters Kluwer legal and regulatory US business. Stakeholders, decision makers, engineering and product teams of the value stream experienced ML based product development journey end-end and laid a strong foundation to break barriers and aid AI/ML adoption for future innovation and transformation. Thanks to the very talented and enthusiastic MLSL team and AWS account team for partnering with us on this POC and helping us shape up our product architecture."
- Roopa Sudheendra
Head of Product Engineering, Wolters Kluwer Legal & Regulatory US
Through a high-touch discovery workshop that explores the “art of the possible and the practical”, this phase of the program brings together your company’s technical, operational, and business leaders to jointly identify and refine high value business problems that can be solved with ML. This interactive workshop is facilitated by experienced AWS ML Strategists, and includes coaching and brainstorming sessions to help you ‘work backwards’ from business challenges to arrive at solutions.
Designed for business leaders and decision makers, this is a combination of flexible digital self-study and a live interactive ML strategy session with AWS ML Strategists that dives deep into key drivers and business processes to successfully run ML projects, and inject AI into your business. Participants gain an understanding of ML fundamentals, develop a greater appreciation for the wide range of potential use cases, and learn how to think broadly about ML as a driver to business growth.
This 3-day hands-on training is based off Amazon’s ‘Machine Learning University’ curriculum, used to train Amazon’s own engineers. It is designed to upskill your technical team to ML practitioners, and covers topics that include recognizing the type of ML problem, natural language processing, computer vision, classical ML, and deep learning. Participants gain an understanding of ML fundamentals, and learn to apply the ML cycle, ML development tools, and common ML methodologies to become strong technical ML advocates within your organization.
AWS’s own machine learning experts will work alongside your team to make the project a reality through a proof of concept in an ML Solutions Lab. Your team will go step-by-step through the entire process of developing a working machine learning application, including data preparation, feature engineering, model development, training, and testing. By the end, you’ll have a ML approach that can be scaled across your organization, and a working POC that your team can deploy to production to positively impact the business.
Align business and technical teams
AWS ML Embark brings business and technical teams together in a cohort to work through the problem and get to a solution together. At the outset of the program, the cohort will identify business opportunities that have meaningful impact on the organization and can be implemented quickly. Building this partnership is the best way to guarantee that the solution will have real business impact and that ML adoption will continue to thrive in the organization.
Accelerate ML learnings
AWS ML Embark is designed to speed up your ML journey with programs that build on each other and customized to your needs, to get your teams ramped up quickly. The in-person technical training is based on Amazon’s own internal developer training and is a proven approach to be successful straight away. Additionally, the business enablement session empowers your business leaders with the foundational knowledge needed to lead ML projects, and begin shaping a ML strategy for their organization, ensuring business alignment and accelerated ML adoption.
Adopt the blueprint for success
AWS ML Embark is borne out of programs and strategies that have worked for some of the most innovative AWS customers and Amazon’s own internal teams fast-track their ML initiatives to get real business results fast. From the ‘working backwards’ process to identify high impact problems, to learning best practices in model development when partnering with AWS ML experts for the POC, the entire program is borne out of programs and strategies that work.
Machine Learning Solutions Lab
ML Embark is brought to you by Amazon’s Machine Learning Solutions Lab, a collaboration and education program that connects Amazon machine learning experts with AWS customers and partners.
We are now accepting nominations for this exclusive program.
To be nominated, please contact your account manager. If you do not have an AWS Account Manager, please contact sales.