Products

We Provide A Wide Range Of Services

Ecosystem Platform

For the past decade, RMDS Lab has been recognized as one of the most influential non-profit organizations in creating a global community of researchers and practitioners and promoting innovative methods and analytical tools. We’ve built an ecosystem platform supporting over 35,000 data science professionals, providing them with AI-powered recommendations for high-quality resources, a space to discover and collaborate, amongst many other unctionalities. A major feature of the RMDS Lab platform is a proprietary algorithm to calculate an “impact score”, which measures the practical outcome of the activity of each user. Additionally, all recommendations on our platform, such as projects, professionals to connect with, datasets, and learning materials are also informed by artificial intelligence. As our community grows, RMDS will continue to be at the forefront of building a platform with complex, nuanced features tailored to meet the needs of our users.

impact score is a system that measures a data scientist’s practical, tangible impact on society through projects, workflows, and other field-relevant interactions.

Project Quality measures the quality of a project at various stages in the process including validity, reliability, and reproducibility.

Project Engagement measures the extent that a project helps to generate insights in other institutions.

Project Outcome measures the concrete changes that a project brings, like the revenue generated by the project.

Perceived Participation measures the degree of user involvement and participation in online and offline activities.

Perceived Capacity measures the capacity (e.g., knowledge, skills) of a user that serves as the foundation of their personal impact.

Training

For the past decade, RMDS Lab has been recognized as one of the most influential non-profit organizations in creating a global community of researchers and practitioners and promoting innovative methods and analytical tools. We’ve built an ecosystem platform supporting over 35,000 data science professionals, providing them with AI-powered recommendations for high-quality resources, a space to discover and collaborate, amongst many other unctionalities. A major feature of the RMDS Lab platform is a proprietary algorithm to calculate an “impact score”, which measures the practical outcome of the activity of each user. Additionally, all recommendations on our platform, such as projects, professionals to connect with, datasets, and learning materials are also informed by artificial intelligence. As our community grows, RMDS will continue to be at the forefront of building a platform with complex, nuanced features tailored to meet the needs of our users.

Online Training:

Webinar:

• Monthly series webinars for the global data science community to engage with the new ideas and trendy knowledge in data science and AI. Reference:

• Monthly series offering business and science leaders insights on trends in health care

• Harvard Medical School’s monthly webinar series offers business and science leaders a unique opportunity to engage with new ideas and research that are shaping the science and practice of medicine. These complimentary, 30-minute sessions are open to the public and specifically designed for those who are responsible for driving growth and value creation in health care.

Online Capstone Projects:

• Apply your knowledge and skills in data science to solve real-world problems.

• Highly accessible materials, flexible schedules, and competitive pricing

Learning Courses:

• Big Data and AI:

We apply real business use cases, research frameworks and various analytical tools to serve as a comprehensive package for learners to improve their competency and employability.

• RM4E Analytic Workflow:

Analytical workflows, based on the concepts of RM4E (Equation, Estimation, Evaluation, Explanation) and Research Map, increase accessibility and reproducibility of analytics and machine learning projects. This course walks through the concept and the implementation of analytical workflows.

• Ethics and Artificial Intelligence: This course will focus on providing educational content regarding the ethical, social, and legal issues behind artificial intelligence. This curriculum will take an interdisciplinary approach to understanding these issues by employing literature and ideas from cognitive science, philosophy, sociology, and psychology. Learn More (add link to grmds.org/learning)

Benefits:

• Employment opportunities

• Free admission to data-relevant events and expert seminars

• Discount on future learning courses

• Free fellowship programs

Consulting

Big Data is a necessary part of everyday lift for any modern business, while this increases the growth potential of a business, it also brings enormous challenges including:

• Storing and managing an ever-increasing amount of data

• Integrating data from a variety of sources

• Gaining insights in real time

• Training and hiring talent

To deal with these challenges, businesses first need to precisely position themselves on how to deal with big-data related issues. Currently, few models evaluate a firm’s ability to utilize big data to create value. To bridge the gaps, RMDS has partnered with prestigious academic institutions to develop a Data Impact Assessment Model (DIAM), to give industries in the global market a 360-degree assessment on data-related topics with over 240 assessment metrics.

DIAM Assesses a Firm’s Data Impact Containing a 5 Elements:

• Data Infrastructure: assess a firm’s maturity in understanding, handling of, and planning around big data on a strategic level.

• Data Management: assess a firm’s maturity of scientifically establishing data management mechanisms and implementing them in its daily operations on a tactical level.

• Data Science: assess a firm’s maturity in utilizing big data to create profits and values.

• Data Lift Cycle: evaluate a firm’s maturity in managing and utilizing data throughout their entire lift cycle, i.e., from generation to retirement.

• Impact Assessment: evaluate a firm’s previous, ongoing, and planned projects in terms of reputation and contribution in the field.

DIAM goes beyond the frontier of current data management maturity assessment. It forms its own unique, comprehensive framework, and tailors its assessment indicators and procedures for different industries. With the methodology of DIAM, RMDS provides high quality consulting services to corporations that aim to thrive under the digital transformation