Why Amazon Machine Learning Solutions Lab?
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.
How it works
Benefits
Industries
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.
Manufacturing
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.
Financial Services
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.
Sports
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.
Automotive
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
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