Data Analysis Platforms

View More

Intersect Labs is Making Machine Learning More Accessible

Intersect Labs is aiming to make machine learning more accessible, especially for those involved in business analysis. The Intersect platform is public, and business analysts are able to upload data. After data is uploaded, the platform will identify the ideal machine learning models that can be applied to a particular data set for best results.

The company's goal is to change analysts from retrospective analysis, to models that are able to predict business strategy. Users who wish to join the platform only have to upload data and answer two questions.

Intersect labs will continue to see itself as a middle ground between highly specialized machine learning and practical machine learning. As the company pushes toward its goal of accessible machine learning, it has gained a customer base and is working out its Y Combinator accelerator batch.
Trend Themes
1. Accessible Machine Learning - Intersect Labs aims to make machine learning more accessible for business analysts, allowing them to harness the power of predictive analysis.
2. Retrospective to Predictive Analysis - Intersect Labs' platform helps analysts shift from retrospective analysis to predictive models, enabling them to make informed business strategies.
3. Practical Machine Learning - Intersect Labs acts as a middle ground between highly specialized machine learning and practical application, making it easier for non-experts to utilize machine learning techniques.
Industry Implications
1. Data Analysis - Intersect Labs disrupts the data analysis industry by providing a platform that automates the identification of ideal machine learning models for business analysts.
2. Business Analytics - Intersect Labs revolutionizes the business analytics industry by empowering analysts to leverage machine learning for predictive analysis and strategy formulation.
3. Technology - Intersect Labs presents disruptive innovation opportunities in the technology industry by bridging the gap between complex machine learning techniques and practical application for businesses.

Related Ideas

Similar Ideas
VIEW FULL ARTICLE