Actionable, accessible insights
Slalom provides dedicated teams of seasoned technologists, business advisors, data scientists, and change practitioners to help companies achieve their most ambitious business goals. As an AWS Premier Consulting Partner, we can help you build your future, faster.
Our expertise includes predictive modeling, data mining, natural language processing, sentiment analysis, computer vision, data science, and machine learning.
Not sure how to start putting machine learning to work in your organization? Learn what it is, what it isn’t, and how to get started.
Check out some of our recent customer stories:
Stopping counterfeit medication
We helped Veripad increase the accuracy of its technology for identifying fraudulent medication to above 90%, which is 5-10% higher than human experts.
Intelligent search + chatbot UI framework
In collaboration with Pacific Gas and Electric (PG&E), we built a search engine, powered by machine learning, that enables the company to quickly reference historical corrective ideas, issues, and resolutions. Finding related issues to arrive at appropriate resolutions quickly via search will help PG&E better serve over nearly 16 million people in northern and central California.
New AWS machine learning capabilities, including SageMaker, presented the opportunity to dramatically improve PG&E’s Corrective Action Program (CAP), which enables employees to identify and track equipment and safety issues, and provide suggestions on how to do things better. These geotagged reports include unstructured comments, details, and photos. Diagnosing, prioritizing, and addressing issues was a highly manual and time-consuming process—often requiring several rounds before successful resolution.
We developed the following process:
• Incident data stored in S3
• Parsed through Comprehend
• Ingested by SageMaker to create inference data
• Resulting models stored in S3
• Indexed using Elasticsearch
• Presented via search UI using Kibana
We also created a chatbot UI framework for future integration leveraging Lex and Lambda.
These capabilities will allow for faster diagnosis and prioritization. The next milestone will be to recommend resolutions based on corrective actions used in the past for similar incidents. Additional groups at PG&E are looking forward to applying the reference application for myriad use cases.