Amazon Machine Learning Solutions Lab
Collaborate with experts to bring machine learning solutions to your organization
The Amazon Machine Learning (ML) Solutions Lab pairs your team with ML experts to help you identify and build ML solutions to address your organization’s highest return-on-investment ML opportunities. Through discovery workshops and ideation sessions, the ML Solutions Lab “works backwards” from your business problems to deliver a roadmap of prioritized ML use cases with an implementation plan to address them. We will then go step-by-step through the process of developing a machine learning-based solution for your organization. We also offer training to augment the level of ML expertise on your team including developer training, business leader training, and a hands-on event through the ML Embark Program. The ML Solutions Lab brings to every customer engagement the learnings from more than 20 years of Amazon’s ML innovations in areas such as fulfilment and logistics, personalization and recommendations, computer vision and translation, fraud prevention, forecasting and supply chain optimization.
“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.”
- Bill Lee, Assistant Vice President of Formosa Plastics Corporation
“The AWS team of machine learning experts built a solution that met our needs and offered flexibility alongside expert technical skills. They are of the highest caliber and we are grateful for their support.”
– Nancy McGuire Choi, Chief Operating Officer, Polaris
“Partnering with the AWS machine learning experts from the Solutions Lab program has been invaluable in our effort to use machine learning to understand, and ultimately predict, the occurrence of superstorms.”
- Janet Kozyra, a space weather scientist and the Amazon liaison at NASA's Heliophysics Division in Washington.
“We worked with the Machine Learning Solutions Lab to deliver Amazon SageMaker workshops, demonstrating how SageMaker’s fully-managed service streamlines the ML production process for data scientists. Since the workshop, 80% of our ML workloads run on AWS which helps our teams bring ML models to production 3x faster.”
- Gloria Macia, Data Scientist at Roche
“The UIUC Athletic department collaborated with the ML Solutions Lab to derive data-driven insights in our planning and preparation for our football games. Now, the manual analysis of data from past games is automated, and our coaches can generate weekly visual game-planning sheets against different opponents at the press of a button.”
- Kingsley Osei-Asibey, Director of Analytics & Football Technology, UIUC
“By standardizing our machine learning workloads on AWS, SK telecom’s training became two times faster, which means that they can shorten the model training to the half of the time compared to using its own GPU servers and the initial implementation.”
- Eric Davis, Vice President of Global AI Development Group at SK telecom
How it works
Ideation sessions help you “work backwards” from business challenges to identify and prioritize your organization’s top ML use cases based on business value, data availability and quality, and level of effort.
Experts guide your team through the process of developing ML solutions for a targeted set of use cases.
To cap off the engagement, our experts can assist with the deployment of ML capabilities to production.
Identify Top Use Cases
Leveraging our diverse experience helping organizations find value with ML, the ML Solutions Lab will guide your organization through the process of identifying concrete use cases that are important to the organization and addressable with ML.
Our data scientists design and develop advanced ML models in areas such as computer vision, speech processing, and natural language processing to solve customer’s problems.
Our team of experts apply best practices to build ML production pipelines for data management as well as model training, tuning, and deployment to allow our customers to scale new or existing ML models on AWS.
An overarching goal of the ML Solutions Lab is to “teach the customer to fish.” Our ML experts will work hand-in-hand with your team throughout the project, so your developers and data scientists can use the experience to identify, build and deploy additional ML capabilities if you wish.
The ML Solutions Lab has successfully assisted customers from around the world across a diverse spectrum of industries including manufacturing, healthcare and life sciences, financial services, sports, public sector and automotive to create new machine learning-powered solutions.
Applying expertise in anomaly detection, forecasting, and more, the ML Solutions Lab helps manufacturing companies improve their core production, maintenance, safety, and quality, as well as R&D and supply chain functions. For example, the ML Solutions Lab helped Formosa Plastics to apply ML to more accurately detect defects and reduce employee time spent doing manual inspection in half.
Healthcare and Life Sciences
The ML Solutions Lab has helped customers in healthcare and life sciences to reduce cost and improve patient care using ML. For example, working with Cerner, the ML Solutions Lab created a solution for researchers to analyze anonymized patient data to develop algorithms that predict congestive heart failure up to 15 months before clinical manifestation.
The ML Solutions Lab works with financial institutions such as banks, investment organizations, insurance companies, and mortgage firms to improve forecasting, enable surveillance systems to flag new or emerging threats, generate personalized recommendations for financial products, automate document processing, and improve the customer experience with chatbots and conversational interfaces.
The ML Solutions Lab has extensive experience working with sports organizations like Formula 1, the National Football League, and the Seattle Seahawks, to improve the fan experience and quality of the game. In AWS’s partnership with the NFL, the ML Solutions Lab identified and built an entirely new way for fans to engage with the sport through Next Gen Stats and is currently applying ML to support the NFL’s player health and safety initiatives.
Environment and Social Impact
The ML Solutions Lab has worked hand-in-hand to tackle some of the world’s biggest challenges from human trafficking to famine to better understanding our universe using machine learning. For example, the ML Solutions Lab worked with Maxar to more effectively analyze satellite data with machine learning – enabling organizations to move faster to react to disasters, like wildfires, and deliver vaccines to villages in Africa.
In the automotive industry, the ML Solutions Lab has worked with customers in areas including supply chain optimization, in-car entertainment experiences, and autonomous driving. This includes improving the safety of drivers and pedestrians with accurate road scene perception and advanced analytics.
AWS Machine Learning Embark Program
For additional training and educational support provided by the ML Solutions Lab see our AWS Machine Learning Embark Program.
Customer Success with the Amazon ML Solutions Lab
Blog Posts & Articles
Ready to get started?
Please contact your AWS Account Manager to get started. If you do not have an AWS Account Manager, please contact Sales.