Salesforce’s Arundhati Bhattacharya states that AI, in contrast to crypto, is focused on solving real-world problems.
H2: Salesforce India’s CEO Highlights Ethical and Economic Concerns Surrounding AI
Arundhati Bhattacharya, the Chief Executive Officer of Salesforce India, recently addressed the advancements in artificial intelligence (AI) and the various issues that come along with it. Despite acknowledging the immense potential of AI, she emphasized the need to address ethical and economic concerns associated with its widespread adoption.
H3: Addressing Ethical Concerns
Bhattacharya emphasized that the advancement in AI brings forth a host of ethical issues that need to be addressed. She pointed out issues such as bias, trust, liability, and privacy that are associated with AI technology. However, she also acknowledged that efforts are being made to come up with solutions to address these concerns. The CEO highlighted the need for human supervision in the use cases of AI to ensure that the technology is used in an assistive role to enhance efficiency without running amuck.
H3: Economic Factors Limiting Widespread Adoption
In addition to ethical concerns, Bhattacharya also raised economic factors that are limiting the widespread adoption of AI across enterprises. She noted that the compute capability required for AI technology is currently quite significant, which raises the question of affordability. The CEO expressed the need to make AI technology accessible at a price that is affordable for businesses, highlighting the economic barriers to its adoption.
H3: Potential of AI in Solving Real-World Problems
Despite her reservations, Bhattacharya believes in the potential of AI’s capabilities to solve real-world use cases. She contrasted AI with blockchain technology, noting that AI has the potential to solve real-world problems, especially generative AI. She also pointed out that generative AI democratizes the intake of data, highlighting its potential to be a game-changer in various industries.
H3: Use Cases for the Indian Markets
Bhattacharya also spoke about potential use cases for AI in the Indian markets, particularly in the BFSI sector. She emphasized that the integration of generative AI could help in bringing personalization to customer relationship management, highlighting the specific relevance of AI technology in the Indian context.
In conclusion, while acknowledging the potential of AI, Arundhati Bhattacharya highlighted the need to address ethical and economic concerns to ensure its responsible and widespread adoption across industries.
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