Refactored AI: Innovative Solution from Colaberry Labs Emerges as Finalist in SOLVE @ MIT Global Competition
Voting for the MIT SOLVE competition has ended, please visit http://training.colaberry.com for more exciting information about Colaberry Labs.
Refactored.ai: Innovative Solution from Colaberry Labs Emerges as Finalist in SOLVE @ MIT Global Competition
Solving the globe’s most complex problems is something that the prestigious university Massachusetts Institute of Technology (MIT) is synonymous with. Every day you will hear of a new ground-breaking discovery coming from an MIT researcher or faculty member. This time, that groundbreaking innovation is coming from Colaberry Labs.
MIT SOLVE 2018: Colaberry’s Chance To Shine
MIT is no place for weak ideas or shaky, unproven, theories. The competitors are top notch and Colaberry brought a distinct intellectual curiosity to the challenge. Refactored is a practical and scalable solution that combines ease of use with a sleek user-oriented design. Colaberry beat out over 1,000 different companies in this year’s 2018 MIT SOLVE challenge to advance into the Finalist category.
The contest brings together thought leaders and innovative teams poised to solve humanity’s most complex problems. These solutions ranged from tackling global epidemics on the Frontlines of Health to Colaberry’s groundbreaking solution in the Work of the Future. Teams have hundreds of hours perfecting their submissions and ideas with Colaberry being led by innovator Ram Dhan Yadav Katamaraja.
Refactored.ai is the brainchild of Ram and Paul Bilodeau, now CEO of Filtered.ai (https://www.techstars.com
Today’s workforce is struggling to keep up with the evolving push towards automation and increasing concerns revolving around the “brain drain” and America’s devastatingly unprepared workforce. Colaberry Labs has developed an innovative solution to this growing problem. Colaberry has spent thousands of hours analyzing market trends and sifting through mounds of data in hopes of streamlining the training process for future data scientists and “data thinkers” alike.
By 2030, AI and machine learning will have taken a firm grasp on the future workforce ushering in a huge skills gap for those underrepresented backgrounds that today seem to be just skating by or not faring well at all. The AI sector is reported to be growing to a value of over $13 trillion by 2030 which underscores the need for Refactored and training courses at the Colaberry School of Data Analytics.
Core Benefits of Refactored.ai
- Refactored is a learn-by-doing platform designed to take complex problems and break them down into manageable concepts
- Refactored can be adopted by any organization to create an AI culture
- In-depth feedback is provided in Refactored which aids users to adapt in real-time cutting down lag time for future organizations
- Data-driven decisions are easier to make as employees become ‘data thinkers’ faster
Improving Outcomes For Underrepresented Backgrounds
The Colaberry School of Data Analytics provides pathways into data analytics careers through training, mentoring, and job placement at scale through its platform. Colaberry programs were created to train individuals from typically underrepresented backgrounds and help them to begin careers in the data science field.
The world of data science and business intelligence is moving forward rapidly and business owners need to make hiring and resource decisions at breakneck speeds. A financial decision that was once hammered out over a two-day set of meetings twenty years ago now needs to be made within seconds. This is where refactored shines.
Refactored.ai combines cost-saving on-demand training for the most in-demand skills while keeping learning manageable. Team building and “groupthink” exercises prepare even the shyest employees for dynamic and complex data-driven discussions. Simply put, refactored addresses the most challenging problems of the 21st century and beyond.
If MIT SOLVE trusts Refactored as a finalist solution to address a global crisis such as workforce automation and challenging the status quo,
