個案資料
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Mahindra Home Finance: When Technology Meets Social Impact
內容大綱
Mahindra Rural Housing Finance Limited (Mahindra Home Finance), a rapidly growing non-banking financial corporation (NBFC) in India, was on the cusp of a historic decision: Should the organization be among India’s first NBFCs to launch a machine-learning-led predictive platform that aimed to revolutionize the way loans were disbursed in rural India? Mahindra Home Finance had a strong focus on social impact, and the firm had to decide whether to take this giant leap. If successful, the project might become a beacon for many such businesses trying to create positive change across communities, as it would reduce the “risk” involved in lending to a segment that was traditionally shunned by the formal banking system. The decision was important—both to the company and to the industry as a whole. Was it time for the field of sustainability to embrace machine learning?
學習目標
By working through the case and assignment questions, students will have the opportunity to do the following:<ul><li>Explore the technology landscape in the field of sustainability in India, especially in areas such as artificial intelligence, machine learning, and the Internet of things.</li><li>Examine the opportunities this technology creates in the successful business targeting of India’s low- and middle-income citizens.</li><li> Analyze alternatives for designing and utilizing technology as well as related challenges and any potential societal impacts.</li><li>Explore how this or similar technology can be replicated across the world to contribute to long-term social prosperity.</li></ul>