AI Industry Innovations , AI Technologies , Generative AI
AI Success Hinges on Business Synergy, Collab and Use Cases
Mohit Kapoor and Anirban Nandi on AI Imperatives and Considerations
McKinsey declared 2023 as the breakout year for generative AI, with over 40% of respondents planning increased investment in artificial intelligence, due to continuing advancements in large language models.
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However, for seamless integration of AI into the business and technology road map, AI experts Mohit Kapoor, group CTO, Mahindra Group, and Anirban Nandi, head of AI products and analytics (VP), Rakuten, emphasized the importance of careful planning, collaboration and practical use cases.
"At the Mahindra Group, most initiatives which are going to be as radical and powerful as AI start with the business and sometimes even with the customer," Kapoor said, adding that the group is currently exploring various AI models, recognizing their unique capabilities to address specific business use cases.
Nandi recommended building a cross-functional team to ensure seamless collaboration. "Assemble a multidisciplinary team comprising data scientists, AI engineers, domain experts and business analysts, which takes forward the AI initiatives with the organization," he said.
The panelists concurred that despite the vast opportunities presented by AI, critical considerations such as biases, security and data governance must not be overlooked.
In this discussion with ISMG, Kapoor and Nandi discussed:
- The importance of identifying the right use cases and alignment with business;
- Addressing the bias in AI systems;
- AI ethics and security - role of CISO and chief privacy officer.
With more than 30 years of experience in global technology and operations, Kapoor is responsible for Mahindra Group's digital transformation agenda. He works closely with the group's diverse set of companies to create new business models and transform customer experience using emerging technologies.
Nandi has more than 15 years of experience in ML, data science, data engineering and business analytics. He has been Instrumental is setting up the data science consulting and chief data office departments at Rakuten India and leads the development of algorithms and scalable products across Rakuten's global ecosystem.
