1 day ago
IIM Kashipur Conclave Explores AI, Skills and BFSI Transformation
IIM Kashipur held a meeting about how artificial intelligence is changing banking, finance and insurance.
Experts talked about the skills workers will need in the future.
They said companies may focus less on degrees and more on practical abilities.
These abilities include critical thinking, teamwork, financial knowledge and checking AI’s answers.
AI can help with repetitive work and large amounts of information.
However, people should still make important decisions about risk, fraud and final approval.
Speakers also warned that AI can repeat unfair biases in existing data.
Students attending the event learned about changing careers in the financial sector.
IIM Kashipur hosted Navayug 2026: Reinventing BFSI with industry executives, academics and risk professionals.
Discussions examined skills-based recruitment and AI-supported talent models in financial-sector organisations.
Participants emphasized domain knowledge, critical thinking, collaboration and evaluating AI-generated outputs.
Speakers discussed AI applications in strategy, credit risk and digital operations, alongside risks such as bias.
The conclave supported hybrid models in which AI handles repetitive tasks while humans retain governance and final decision-making.
- Who
- IIM Kashipur hosted industry executives, risk strategists, human resources professionals, academics, MBA students and research scholars.
- What
- The institution held Navayug 2026: Reinventing BFSI, a conclave on AI, skills and changes in banking, financial services and insurance.
- Where
- The event took place at the Indian Institute of Management Kashipur.
- When
- The conclave was held recently; the article does not provide a specific date.
- Why
- It was organized to examine changing talent models, AI adoption, risk governance and the skills needed in financial-sector roles.
Key facts
- Event
- Navayug 2026: Reinventing BFSI
- Host
- Indian Institute of Management Kashipur
- Sector discussed
- Banking, financial services and insurance
- Main talent trend
- A shift from degree-focused recruitment toward skills-based approaches
- AI applications
- Corporate strategy, credit risk, digital operations, analytical work and repetitive tasks
- Key AI risks
- Bias in large AI models and common data pools, plus difficulty converting unstructured data into usable intelligence
- Human responsibilities
- Final authorization, risk governance, fraud prevention and evaluation of AI-generated outputs
Sources
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