Overview
Augmented Machine Learning (AuML) is an approach to data analytics, which allows a broad community of subject matter experts and business analysts to
explore available data and understand its value,
formulate data-driven business problems in a way that is most effective for machine learning,
prepare data sets and address data irregularities,
search and apply the most suitable machine learning models without the need to write code,
draw conclusions from the above process and understand how to manipulate data and use it to drive most valuable insight for the business (continuous improvement for data analytics).
integrate resulting machine learning models into existing business systems to address business problems
Key Features
- Prepare data and keep full audit trail
- Explore models such as classification, regression or clustering
- Build models in minutes without coding
- Optimise your existing models with powerful Bayesian optimiser
- Publish models as web services or use directly in Excel
Key Benefits
Executives
Be confident you are getting the most of your data with “data minded” employees
Inject Machine Learning in all digital transformation initiatives
Effectively deploy data science team on most valuable projects
Data Champions
Get through tedious tasks quickly and focus on exciting projects
Be confident you have the best models, and they are up to date
Have visibility of business needs and data opportunities
All Data Owners
Spot valuable data and opportunities it provides
Get insight in under 30 minutes without coding
Analyse large volumes of data very quickly
Improve the quality of data you are responsible for
Know when to involve data scientists
