“By 2030 as many as 375 million workers - or roughly 14 percent of the global workforce - may need to switch occupational categories as digitization, automation, and advances in artificial intelligence disrupt the world of work.” (The Mckinsey Global Institute)
Artificial Intelligence (AI) and Machine Learning (ML) solutions are going to impact every industry and profession across the world. The emergence of these technologies provide many benefits: increased productivity, customer satisfaction, added business value, and economic growth. However, it will also drastically transform the current landscape of the workplace and redefine the roles and skills needed from the future workforce. Mundane jobs will become automated, workers will be displaced, and new jobs that have yet to exist will be created. This will require businesses to restructure their processes and reevaluate their talent, strategies, and workforce needs. Making this transition is going to be a world-wide challenge and poses a huge threat to the success of companies and employees if not executed correctly.
Refactored’s AI powered, interactive, on-demand training platform provides a scalable solution to keep workforce skills current and relevant in the midst of rapid technological advancement. The platform offers unlimited opportunity to grasp AI and ML concepts and skills, develop adaptable talent, and build high-performing data science teams. It also addresses the critical transitional steps required to seamlessly convert to an AI-powered organization.
Transition to a Data-Driven Culture: AI and ML capabilities will need to be distributed and workers at all levels will need to become AI savvy. Refactored increases data literacy across organizations and transforms employees into data-thinkers. This will enable the development, adoption, and support of AI technology.
Identify Future Workforce Needs: Refactored provides solutions to companies who are AI pioneers and the most innovative data-solvers within their industries. We incorporate this data into our platform to help companies accurately predict the new needs of the workforce and specific talent required.
Real-time Data Assessments: Our platform provides real-time assessments, continuous feedback loops, and advanced data analytics to help monitor, report, and accelerate performance and learning efficiency.
Reskilling the Workforce: Refactored will bridge the skill gap for mid-career, middle-age workers, emerging students without market relevant skills, and workers without degrees - those that are at highest risk for displacement. The self-directed learning platform empowers life-long learners with the opportunity for ongoing, retraining. This will be critical as the emergence of new technologies continue to create new career pathways.
We are a team of forward-thinking, passionate data scientists. Our goal is to engender world-wide change and unlock the power of data to improve our businesses, government, and society. We firmly believe that innovation and technology should bring people together; it should not create larger divides and opportunity gaps. Refactored will ensure that everyone has the opportunity to succeed - regardless of age, race, education, or income. Refactored will accelerate successful adoption of AI and change the life trajectory of millions; this will have an unparalleled impact on economic growth and will help solve some of the worlds most urgent and complex problems.
The dimensions of the Challenge our solution addresses:
Our solution's stage of development:
What makes our solution innovative:
Refactored is the only platform powered by AI that offers end-to-end solutions to mitigate the impending workforce transitions and wide-scale challenges that adoption of new technologies will bring. Refactored was designed to stay ahead of the ever-evolving technology trends and will enable the AI talent paradigm shift needed to retool outdated hiring processes and identify new skills needed for success. We built a custom version of the open source DS platform, Juptyer, that lets candidates solve real-world challenges in Python, R, and many more emerging data science languages, and provides gamification to help sustain motivation for continuous learning and application.
How technology is integral to our solution:
Technology will dictate how we develop, grow, and scale. Refactored uses Juptyer to enable AI and ML solutions that creates more effective learning experiences through personalization. As the learner progresses in their training, the input creates a more tailored curriculum path to address specific needs. This technology provides real-time assessment data and a comprehensive analysis of their performance throughout the process - vital for both the improvement of the learner and evaluation of the employer. It also enables our training to be virtual, interactive, and on-demand; providing more flexibility and accessibility to increase the number of data-thinkers and solvers.
Our solution goals over the next 12 months:
Refactored will focus on scaling and collaboration. We’ll partner with companies who have/will be deploying AI solutions to seamlessly guide them through this transition. As we organically grow our corporate partners, we will grow our career development and talent pipeline offerings; which has proven to be extremely effective for existing partners such as Facebook, YearUp, Monsanto, and Freddie Mac. Our job-embedded “Data Challenges” will connect qualified candidates to employers, at scale. We have also partnered with JNTUniversity and a private education organization in India and will use the data and success of this pilot to continue our global reach.
Our vision over the next three to five years to grow and scale our solution to affect the lives of more people:
We are receiving interest from universities and private educational organizations in underdeveloped countries such as Nigeria, South African, Senegal, Morocco, Kenya, Ghana, and Mali. We will expand our India pilot to other areas where educational infrastructure is poor and educators are unable to teach advanced data science concepts. Refactored’s platform will empower students and teachers and serve as the “last mile” training provider to close the opportunity/skill gap. We will expand our corporate training and Data Challenges that will provide companies with a vetted, qualified pool of candidates, and students will receive highly-coveted internships and full-time positions.
Our promotional video:
The key characteristics of the populations who will benefit from our solution in the next 12 months:
The regions where we will be operating in the next 12 months:
How we will reach and retain our customers or beneficiaries:
We will expand corporate training and AI workshops to ensure skills meet the new industry standards and our partners can find, assess, develop and hire better talent through Refactored. Our success within Agtech and Healthcare to date (and advanced data analytics/algorithm transparency obtained from these partnership) will enable us to expand across all industries. Refactored delivers open source, AI/ML powered JIT learning which is accessible and easily consumable for all levels of expertise. We will also leverage our relationships with Roxbury Community College, Year Up, and Texas Refugee Council to increase accessibility for low-income and underdeveloped communities.
How many people we are currently serving with our solution:
Refactored has served a highly diverse population, hailing from 42 different countries, ethnicities, races, religions, genders, education, and income brackets. Currently, we are impacting roughly 10,000 individuals. Our platform provides the practical and technical skills needed to succeed in the ever-changing AI/ML powered workplace. Refactored’s interactive interface enables life-long learning and the opportunity to explore, grow, strengthen and expand their applied AI/ML skills on-demand. Refactored changes the trajectory of their career path and provides a lifetime impact; every student who we train earns an average of $100,000 over three years.
How many people we will be serving with our solution in the 12 months and the next 3 years:
With our current outreach and growth-rate, we will impact over 100,000 in the next 12 months and approximately 1,000,000 people across the world during the next three years. Given the market demand for data scientist talent and individuals seeking the opportunity to advance in their careers, we expect consistent, constant growth. Refactored will play a vital role in bridging the opportunity and skill gap to meet new industry needs and the evolving market demand. Refactored’s current impact will be magnified as we scale our footprint; more “Data Thinker” organizations with a more diverse, qualified workforce.
How our solution team is organized:
How many people work on our solution team:
How many years we have been working on our solution:
The skills our solution team has that will enable us to attract the different resources needed to succeed and make an impact:
Our team is made up of passionate data scientists who are dedicated to creating a community of successful data scientists; driving the workforce and companies forward, maximizing innovation, and minimizing setbacks during this transitional period. We create our own, innovative, data science solutions, training content and products to support this mission. The success and effectiveness of Refactored attracts companies who want to bolster their own innovation by integrating AI/ML solutions and third party organizations who recognize how vital strengthening data science capabilities and solving for the skill/opportunity gap will be for the future of the workplace.
Our revenue model:
Over the next decade, every industry will be transformed by AI and ML. The emergence of new and unconventional career paths will ensure Refactored is positioned for long-term sustainability due to skyrocketing demand and untapped market need. We continuously mold our course and skill offerings to fit the workplace needs and our JIT learning, on-demand platform provides the tools for ongoing development. Our platform will ensure that companies are ready for change and have the resources to succeed; the ability to be agile and able to respond quickly to changing and evolving market demands.
We have created revenue models that solve for the existing opportunity and skill gap. Individuals looking to build and develop advanced data science skills can sign-up with no initial payment and companies have various options that will strengthen the on-boarding process and upskill existing talent. Our revenue models include:
· Refactored then receives a small percentage of salary throughout the first year of employment
- Organizations can choose from the following options:
- Access fee to the talent database
- Pay-per-hire fee
- Pay-per-employee subscription fee for courses that we offer.
- Pay a licensing fee and we design/create custom course offerings and specific learning pathways.
Why we are applying to Solve:
Like Solve, our goal is to drive transformational change. We are committed to building a world of data-thinkers who embrace technology and ensuring that both individuals and organizations are prepared to succeed in the future workplace. A partnership with solve would enable us to become a leader in the Data Science community and pioneer in the advancement of AI training and integration. Partnering with Solve’s network would accelerate our global reach and increase our impact.
The key barriers for our solution:
Our goal is to build a community of data scientists and ensure that every individual has the opportunity to succeed in a technology-powered world. As a result, our greatest barrier is ensuring that our society’s future data scientists have access to technology. Refactored can provide the tools and resources needed to transform individuals into data-thinkers, but accessibility is integral to becoming adaptable, lifelong learners. Refactored will leverage Solve’s network to create greater awareness to the impending “technology workplace disruption” by partnering with organizations committed to bridging the skill gap and making the transition needed to succeed in the future workplace.
The types of connections and partnerships we would be most interested in if we became Solvers:
- AD Anand Dasari Co-founder and COO, Colaberry Inc
- AJ Abigail Jones Business Development Manager, Colaberry, Inc.
- Ram Dhan Yadav Katamaraja Founder & CEO, Colaberry Inc
- PN Pawan Nandakishore Data scientist, Colaberry
- PS Pallavi Srichinta Program Manager, Colaberry Inc
- Sathwik Mohan Vangari Machine Learning Engineer, Colaberry Inc