AI in the real world

Picture this: You’re an Indian multinational corporation with a massive customer and employee base that’s culturally diverse—as well as linguistically. For instance, you may have Afrikaans-speaking customers in South Africa or Catalan-speaking employees in Spain—or you may have both customers and employees in China, where Mandarin is the most spoken language.

Now switch the situation around, and picture that you’re a global mega-corporation that has identified India as a key market. So far, you’ve been largely present in the English-speaking parts of the world. Yes, English is spoken in India, but then so are some 450 languages, depending on which region you set up a factory or open shop. And like you have Spanglish in the United States—a blend of English and Spanish words and grammar—you have Hinglish spoken across a country in which perhaps Hindi may be the most spoken language. How do you cope?

This edition is a special issue on the rather scrumptious flavour of a protracted season: Artificial intelligence (AI). Tech & Innovation Editor Harichandan Arakali’s cover story on Sarvam AI decodes how an entity that has raised $53 million so far, is building solutions that have voice, communication, languages and dialects at their cor-e. As Arakali puts it: “An important aspect of Sarvam’s strategy is to cater to the linguistic diversity of India…”

What sets Sarvam apart from many other language AI startups is that it is working on building its own foundation-level AI tech; this includes the core elements of their own generative AI system like algorithms, architectures, training techniques and curated data sets. This will help Sarvam build its own generative AI tech on which others too can build useful applications. For more on Sarvam’s voice-based tools—that include models for translation, speech recognition and speech synthesis—don’t miss ‘All AInclusive’ on page 26.

Both Indian and foreign companies with aspirations of penetrating deep into India’s small towns and villages can benefit from such solutions. Leading teams that speak different languages can now be less challenging as AI can come to the rescue if, as a leader, you don’t speak the language that your team speaks with their customers. It’s a bit like, say, an Italian football manager in England’s Premier League (PL)—in which most managers are not English—finding a way to communicate with players from different parts of the world.