सेल्सफोर्स के एक सर्वेक्षण से पता चलता है कि 99% भारतीय सी-सूट अधिकारी एआई को अपनाने के लिए तैयार हैं।

सेल्सफोर्स के एक सर्वेक्षण से पता चलता है कि 99% भारतीय सी-सूट अधिकारी एआई को अपनाने के लिए तैयार हैं।

A Salesforce survey shows that 99% of Indian C-suite executives are prepared to embrace AI.

A Salesforce report reveals that 99% of Indian C-suite executives are ready to delegate tasks to AI without human oversight in the next three years, emphasizing a major shift toward AI-driven automation.

  • Technology
  • 208
  • 21, Oct, 2024
Jyoti Ahlawat
Jyoti Ahlawat
  • @JyotiAhlawat

A Salesforce survey shows that 99% of Indian C-suite executives are prepared to embrace AI.

A recent report from Salesforce reveals that Indian CEOs, CTOs, and other senior executives are poised to delegate at least one task to AI without human supervision within the next three years, signaling a significant shift toward AI-driven automation. The survey, which included over 300 Indian C-suite executives from companies with more than 250 employees, found that 99% believe generative AI will be crucial for their businesses' success by 2027.

As Indian companies ramp up their integration of generative AI, Salesforce is embedding AI into all its product offerings. "From Einstein to the launch of Slack AI, Tableau, and other marketing solutions, AI is accelerating our product development, and we feel it's our responsibility to capitalize on this opportunity as leaders worldwide recognize AI's impact," said Rahul Sharma, Assistant Vice President of Service Cloud at Slack, in an interview with indianexpress.com. Executives in India indicated that AI is expected to have the greatest positive effect on departments such as IT, finance, customer service, research and insights, and human resources. However, concerns persist regarding potential job losses, especially among white-collar workers.

How are Indian businesses leveraging AI today?

According to the survey, over 56% of C-suite executives attribute the growing adoption of AI to customer demands for quicker and more personalized experiences. Employee requests for generative AI tools (49%) and the need to enhance productivity and efficiency (55%) also drive AI integration. The most common tasks currently assigned to generative AI include:

  • Ensuring inclusivity in content and communications (42%)
  • Resolving employee IT issues (38%)
  • Acting as a personal assistant (37%)
  • Onboarding and training employees (37%)
  • Generating text for customer communications (36%)
  • Creating internal communication content (36%)
  • Researching and compiling large amounts of information (34%)
  • Summarizing extensive content (34%)
  • Making personal recommendations (33%)
  • Creating image, audio, and video assets (33%)
  • Writing code (32%)

Additionally, over 73% of executives report regularly using generative AI tools at work. When discussing Salesforce’s strategy for monetizing enterprise AI solutions, Sharma noted, "We are in a pre-monetization phase where organizations are still exploring AI's impact. Monetization will take time, and some of our already launched products have associated pricing that is competitive in India’s value-conscious market." He emphasized that Salesforce views India as a strategic market, not just for its size but also due to significant investments in technology functions.

What is holding back AI adoption in India?

Survey participants identified several barriers to AI adoption in India:

  • Accessibility and inclusivity issues (38%)
  • Concerns about inaccurate outputs (34%)
  • Incomplete customer and company data (32%)
  • Lack of governance (30%)

To build trust in generative AI tools, nearly all C-suite executives agreed that these tools must utilize accurate data to ensure optimal output. Data security emerged as a major concern, with over 96% of respondents worried about the potential risks to confidential information. Addressing these data security concerns, Sharma explained that companies need to rethink their security approaches compared to traditional business practices. He assured that Salesforce’s solutions are grounded in the organizational data of their customers, which mitigates risks of biases or inaccuracies.

Sharma also countered the notion that businesses must first organize their data to adopt AI. He stated, "While good data should have some structure, much of the work occurs in an unstructured format. A lot of workplace interactions happen informally, making it essential to have an AI model that can leverage this unstructured data for more effective results."

While he didn't provide a specific timeline for AI adoption across Indian businesses, Sharma noted, "Ultimately, it will depend on the risk tolerance of the organization or its leadership. Once early adopters start seeing returns on their investments, we can expect substantial growth in AI adoption."

News Reference

Jyoti Ahlawat

Jyoti Ahlawat

  • @JyotiAhlawat