Immersive Visualization for AI Governance

Number of individual students required: 6 Be part of solving the critical problem of AI explainability. Explainability of AI and Machine Learning is a significant challenge, as is humanity's capacity to keep up with & govern ever-improving algorithms. Objective of this project is to apply our patented technology for visualizing & explaining an AI or machine learning model of your choice. For inspiration, we have to-date applied the technology to visualizing nodes of a Tensorflow model and for seeing dimensions used to train a random forest classifier in context of model-determined outcomes vs. actual outcome from the training dataset. Immersion Analytics' patented technology and products make it possible to see up to 18 dimensions of data as a single, intuitive visualization. This is accomplished using special effects as added axes, intensity of each effect is varied at each data point to convey additional dimensions. Our Stepwise Storyboarding capability permits adding dimensions one at a time as you tell the data story. Students will receive a personal-use license for Immersion Analytics Visualizer, which can be used in concert with Python, MATLAB, Qlik Sense, and even CSV data files. We have many samples for use with Python, several for MATLAB, and extensive documentation and install support. Students should be prepared to: Identify an AI or machine learning project where up to 18 dimensions, primarily numeric, are used to train the model. This can be a project from github or elsewhere online, or one of the student's design. Develop immersive visualization using our Python package or MATLAB toolbox alongside our Visualizer product Prepare a 2-page data storytelling walkthrough of your creation, with screenshots (greenshot is fine). While we are open to your inspirations, a few areas of specific interest for us include: Predicting customer lifetime value Recommendation engines Fraud detection

Get Published: Help Transform Data Analytics

Positions available: 3 We are changing the way people experience their data. Note I didn't say "Analyze", "Understand", "Mine", "Share", "Govern", "Explain", "Visualize" or any of the other countless verbs used to describe our data interactions. That's because we are changing all of them. Immersion Analytics (IA) Visualizer is a next-generation data & content visualization platform for experiencing modern datasets. Unlike classic analysis like Charts, Dashboards, PCA Analysis or AI / Machine Learning, Immersion Analytics’ patented Dimensional Engine(TM) helps data stakeholders increase both their productivity and data comprehension by varying the intensity of numerous special effects about each data point in 2D, 3D and Immersive space. As a result, what would have required 3,060 unique plot combinations across many dashboards can now be understood via one simplified visualization - which helps analysts see the whole data picture. This is transformative for keeping human beings and human intuition in the loop for unlocking insights from modern data. It also improves collaborating, understanding and explaining formerly complex topics with ease. What we need is a team of entrepreneurial students to experience what we have created, watch others use what we have created....and then describe and quantify the benefits around what we have created. In its simplest form, this is an A/B comparison between our new process and a number of older ones. Given this scope of work, your team needs three skills: 1) Social scientists to design and conduct human tests/experiments 2) Computer scientists to code the process for easily gathering data from numerous tests 3) Data scientists to create and analyze data used in and created during the experiments. The final team deliverable will be publishing a scholarly peer reviewed article paired with either a presentation or a video about what you learned. We will support you every step of the way, but these deliverables will be yours to use as you see fit - post them online, link them to your resume, share them with future employers. And don't forget to get our recommendations for all your good work. PROJECT GOAL: Generate data comparing and quantifying two or more methods for gaining insights from a series of data sets and data tool outputs. For example, tool output might include brute force pair-wise plots, PCA (principal component analysis), regression and machine learning - but the choice will be made with your input. Test metrics might be both quantitative and qualitative: time to complete sections, number of insights, accuracy of data insights, impressions and feedback, etc. We see the project work breaking down into four (4) sprints: 1) PREPARATION: Find or create interesting data set(s) that will work for this project - define criteria Learn to use Visualizer software Use multiple tools, including Visualizer, brute force, PCA, ML, IA, etc to define the test "answers" and desired insights Start to create the artifacts we will use in the tests. 2) TEST DESIGN AND IMPLEMENATION: Design tests that each subject will experience - ensuring they are easy to repeat quickly and consistently Define the exact test metrics and process for gathering subject's data Define a control between subjects Iterate data set design to mesh within the test criteria Recruit test takers 3) PERFORM TESTS AND COLLECT AND ANALYZE DATA: Gather the data - both quantitative and qualitative Analyze the data 4) REPORTS AND DELIVERABLES Create visualizations to explain the data Create either a presentation or short video to show the test process and outcomes --- include comments from the test participants For videos, the team will plan a storyboard, write a script, and create the visuals. We will help you to produce a professional-looking video. ( Please Download the Link below too see one of our Company Videos - 426MB ) Work with the IA team to write a scholarly report on the outcomes for peer review and publication.

API Productization for Immersive Visualization System

Number of individual students required: Up to 4 Gain valuable experience helping productize an enterprise software API working directly with Immersion Analytics CTO Aaron Moffatt. Immersion Analytics' patented technology and products make it possible to see up to 18 dimensions of data as a single, intuitive visualization. This is accomplished using special effects as added axes, intensity of each effect is varied at each data point to convey additional dimensions. Our Stepwise Storyboarding capability permits adding dimensions one at a time as you tell the data story. Objective of this project is to assist our CTO with getting a new API customer-ready. Students will receive a personal-use license for Immersion Analytics Visualizer, which can be used in concert with Python, MATLAB, Qlik Sense, and even CSV data files. Students should be prepared to: Gain familiarity with both our existing (documented) API and new (undocumented) API. Migrate Python and/or MATLAB code samples to the new API, advising CTO of issues found Help documenting the new API at a high level in Google Docs and at low level in C# source code comments (using a doc generator such as Doxygen) Additional tasks will be scoped based on interests & skills of each student