Operationalize your AI initiatives
Orica - BlastIQ
Orica was looking to improve the blasting and drilling processes at one of their customer's mining operations. They needed to better visualize the execution of actual vs design blast data. Plotly's Consulting & Training team delivered a Dash app that provided valuable information on the implementation against design tolerances to establish a benchmark for improvement.
Dex Clothing - MNIST Explorer
Dex Clothing needed to optimize their garment-sorting process. Plotly's Consulting & Training helped Dex implement an AI visual search system to better categorize their garment images. The result of this Dash app was an automated image categorization process and streamlined supply chain operations.
S&P - Trucost
Plotly's Consulting & Training helped S&P transition to Python and build rich interactive reports through Dash Enterprise, streamlining their workflow.
“It was a pleasure working with Plotly. The Trucost team is excited to have expanded capabilities that support conveying insights to companies and institutions on how the private sector is impacting and contributing to global progress towards sustainability.” —Rochelle March (S&P)
Major Canadian Retailer - Demand Transference
A major Canadian retailer wanted to elevate their inventory management system. They needed an automated way to analyze seasonality, location, and consumer buying behaviour. Plotly's Consulting & Training created a Dash app that utilizes Sankey data vis to solve the demand transference problem and optimize their retail operations.
Meet some of our experts!
As the creator of Dash, Chris leads development efforts to make the framework the easiest, fastest language-agnostic way to build, test, and deploy interactive analytic applications. As data science teams become a standard, Chris wants to ensure that even the most advanced analytics insights are accessible by everyone—whether or not they know how to code.
Alex Johnson, PhD
Nicolas leads Plotly's Graphing Libraries group. He is the author of the Plotly Express, react-pivottable and PivotTable.js data analysis tools. He studied Engineering at the University of Toronto, and previously worked in travel demand modelling, econometrics, telecommunications, ad technology and healthcare analytics.
Emmanuelle Gouillart, PhD
Emmanuelle is the maintainer of Scikit-Image, Dash-canvas and plotly.py open-source libraries and a leader in the Scientific Python community. She has a PhD in Fluid Dynamics from Université Pierre et Marie Curie. At Plotly, she is leading the "Interactive image processing with Scikit-Image and Dash" open-source project funded by the Chan-Zuckerberg Initiative and its Essential Open-Source Software for Science program.
Jose is a Systems Engineer with experience in infrastructure, application development/deployment, and multiple programming languages (Golang/PHP/Python/Ruby/Shell). He holds a degree in Computer Science and Software Engineering. At Plotly, Jose works closely with customers on project integration to ensure that Dash Enterprise fits and elevates their company’s existing data framework.
We’re here to help.
Does your product have an ancient charting tool that needs to be replaced? Would you like to upskill your ML and data science team through a remote Dash workshop? Are your end users asking for more advanced data visualization? Let's talk!