Across industries, AI is rapidly changing the way we lead businesses and solve problems. At Findability Sciences, we aim to make such AI solutions relevant and accessible to everyone with our AI for Good program.
Findability Certified Professional (FCP) Program
Aimed at establishing an industry standard bench-mark for Artificial Intelligence (AI) and Data Science skills, the FCP program comprises of an online assessment of theoretical concepts, working knowledge of latest tools and algorithms and business problem solving abilities. The FCP Program is designed to meet every industry and individual’s AI needs with the best-of-the-breed AI and data sciences.
AI in Education
Work with the Japanese Government
In partnership with the Japanese Government, we launched the Global and Innvoation Gateway for All (GIGA) Concept aimed to create a post-information society incorporating cyberspace, AI, big data and IoT. With the GIGA School Program, we aimed to ensure that educators would have the techniques to teach how to master digital tools and learn online.
Work with private universities
In our work with NMIMS, with the aim to provide a simpler and cohesive admissions process, we used AI-powered chatbot to automate up to 5000 student queries (per month) in the areas of academic curriculum, admission process, program eligibility etc.
AI in Health
Fighting Covid 19 with the Haryana Government
In April 2020, we partnered with the Department of Higher Education, Haryana to develop an epidemic analytics dashboard that could facilitate healthcare resource management with the primary goal to forecast the expected number of COVID-19 cases and accordingly optimize the allocation of healthcare resources across the state.
Work in the Operation Rooms
In collaboration with a leading provider of patient flow optimization solutions for hospitals and healthcare systems, we worked to improve operation room (OR) efficiency for one of the largest multi-specialty hospital chains in U.S. The manual scheduling of procedures across ORs often results in high waiting time for patients and uneven shift allocations for the hospital personnel. We aimed to predict the duration for which an OR/procedure room would be occupied for a pre-scheduled surgical procedure so as reduce patient waiting time, optimize shift allocation, and minimize OR downtime.