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NEW DELHI: India’s unique search behavior is a key factor in influencing the future of Google’s search business, vice president of search at Google said at a conference hosted by Moneycontrol.
“What’s neat about India is that it forces us to think about a lot of interesting problems. Voice-first (nature) is a great example. Another important problem that India really highlights is different languages,” said Pandu Nayak, vice president of search at Google.
Nayak said that they have made efforts in addressing these issues in search by using products like Google Translate.
“For several years now, we’ve been trying to improve the search experience for our Hindi users and our local language users. And we’ve done that both by making sure that voice recognition for Hindi is improved and becomes as good as English voice recognition on the input side and improving the search experience for Hindi users in terms of content sparsity as compared to English users,” he said.
He cited the example of Project Vaani, a collaboration between Google and the Indian Institute of Science (IISc), which focuses on gathering and transcribing anonymized speech data from all 773 districts in India.
“There’s also the multi-modality, the photo-first things that are central to the things that users do here,” Nayak said. Multi-modality refers to using multiple modalities including text, images, video and audio.
Nayak mentioned that the future of search is multi-modal, as people are interested in searching using various content types like images and text combined to capture the user’s intent.
Google recently introduced Gemini, its latest and most advanced AI model. Gemini, the result of the merger between Google Brain and DeepMind, is “multimodal,” meaning it can understand and process different types of information simultaneously, including text, code, audio, image, and video.
Upon launch, Google stated that Gemini would be utilized across all its products. The AI chatbot Bard, for instance, will use a refined version of Gemini Pro for more advanced reasoning, planning, and understanding. Gemini is also enhancing the Search Generative Experience (SGE), Google’s generative AI search offering, making it faster with a 40 percent reduction in latency in English in the United States, along with improvements in quality.
The plan is to integrate Gemini into more of Google’s products and services, including Search, Ads, Chrome, and Duet AI in the coming months, as per the company’s announcement.
“I am really looking forward to seeing how we’re going to bring it to our users in search,” Nayak said.
“What’s neat about India is that it forces us to think about a lot of interesting problems. Voice-first (nature) is a great example. Another important problem that India really highlights is different languages,” said Pandu Nayak, vice president of search at Google.
Nayak said that they have made efforts in addressing these issues in search by using products like Google Translate.
“For several years now, we’ve been trying to improve the search experience for our Hindi users and our local language users. And we’ve done that both by making sure that voice recognition for Hindi is improved and becomes as good as English voice recognition on the input side and improving the search experience for Hindi users in terms of content sparsity as compared to English users,” he said.
He cited the example of Project Vaani, a collaboration between Google and the Indian Institute of Science (IISc), which focuses on gathering and transcribing anonymized speech data from all 773 districts in India.
“There’s also the multi-modality, the photo-first things that are central to the things that users do here,” Nayak said. Multi-modality refers to using multiple modalities including text, images, video and audio.
Nayak mentioned that the future of search is multi-modal, as people are interested in searching using various content types like images and text combined to capture the user’s intent.
Google recently introduced Gemini, its latest and most advanced AI model. Gemini, the result of the merger between Google Brain and DeepMind, is “multimodal,” meaning it can understand and process different types of information simultaneously, including text, code, audio, image, and video.
Upon launch, Google stated that Gemini would be utilized across all its products. The AI chatbot Bard, for instance, will use a refined version of Gemini Pro for more advanced reasoning, planning, and understanding. Gemini is also enhancing the Search Generative Experience (SGE), Google’s generative AI search offering, making it faster with a 40 percent reduction in latency in English in the United States, along with improvements in quality.
The plan is to integrate Gemini into more of Google’s products and services, including Search, Ads, Chrome, and Duet AI in the coming months, as per the company’s announcement.
“I am really looking forward to seeing how we’re going to bring it to our users in search,” Nayak said.
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