Arundhati Bhattacharya, CEO of Salesforce India, Discusses AI Reservations and Use Cases
AI Brings Reservations and Opportunities
Arundhati Bhattacharya, the Chief Executive Officer of Salesforce India, has expressed concerns about the potential issues that come with the advancement in artificial intelligence (AI). She believes that as AI technology progresses, it brings with itself a host of issues that need to be addressed.
Addressing Ethical and Economic Concerns
According to Bhattacharya, one of the main areas of concern with AI is the issue of bias, trust, liability, and privacy, all of which need to be carefully addressed. She emphasized that many people are currently working on coming up with solutions for these challenges. Additionally, she also highlighted economic factors as a limiting factor for widespread AI adoption across enterprises.
“Not just that, it’s also a question of price. Believe me, at this point, the amount of compute capability it takes up is huge. The question is, will we be able to do this all at a price that is affordable,” she added.
AI’s Current Role in the Workforce
Despite her reservations, Bhattacharya acknowledged the immense use cases of AI and its capabilities of solving real-world problems. However, she stated that, at present, AI’s use cases are primarily in assistive roles, where the technology plays a supportive role in helping workers to complete tasks efficiently and quickly.
“Right now, AI is assisting workers, we are not letting it run amuck. It is helping as an assistant, for example to write basic run of the mill code, or write reports, etc. but still there is human supervision on the work that is done by the AI,” she said.
Generative AI and Use Cases in Indian Markets
Bhattacharya contrasted AI with blockchain technology and highlighted that AI, especially generative AI, holds significant potential for solving real-world problems. She mentioned that the good thing about generative AI is that it democratizes the intake of data.
Furthermore, Bhattacharya discussed potential use cases for the Indian markets, particularly in the BFSI sector. She noted that the integration of generative AI will help in bringing personalization to customer relationship management within the Indian BFSI sector.
In conclusion, Bhattacharya expressed her reservations about the ethical issues and economic constraints surrounding AI, but also highlighted the immense potential and opportunities it presents, particularly in addressing real-world problems and its use in specific markets like India.
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