Arundhati Bhattacharya, the CEO and chairperson of Salesforce India, stated on Thursday that India is better positioned than any other nation to use the third wave of artificial intelligence (AI) to help millions of underprivileged citizens in the fields of healthcare, education, and customer service. AI-enabled workforces will be “limitless” in their ability to serve customers.
“There are no countries in the world that have the kind of public digital infrastructure that India has. This positions us uniquely to leverage the third wave of AI, which is the agentic layer, in the areas of education, healthcare, and customer service,” Bhattacharya said, while addressing media at the launch of Salesforce AI Pitchfield, in Bengaluru on Thursday.
Three major stages of artificial intelligence have emerged: generative AI, basic predictive analytics, and now the agentic layer, which includes sophisticated reasoning skills. This most recent development represents a major breakthrough in corporate technology as it allows AI systems to do intricate automated tasks in addition to creating content and having discussions.
Having the third-largest startup environment in the world and the second-largest network of Salesforce platform innovators worldwide, after the US, further solidifies India’s standing in the AI scene, according to Bhattacharya. According to her, the government’s Startup India program has fostered an atmosphere that actively encourages innovation, allowing businesses to successfully utilize AI’s potential.
Since introducing its AI capabilities in September of last year, the business has been conducting a number of pilot initiatives with major corporations, and adoption patterns indicate “phenomenal” development, she continued.
Bhattacharya discussed the increasing emphasis on data security in corporate AI applications while pointing out encouraging adoption patterns.“With ChatGPT, there is a lot of talk on whether data is going out to train the model. So there are a lot of questions that are being asked by our customers, which we believe we are answering to their satisfaction,” she added.
Successful AI agent deployment, she noted, requires careful consideration of prerequisites. “We have to understand the pain points, identify the use cases. Second is we have to get the data sources in order – you can’t just apply it anywhere to a source which is incorrect or not your own. The third thing is security, are they compliant, are they secure.”
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