When ChatGPT launched in November 2022, generating 100 million users in the first two months, generative AI went from niche to mainstream. That said, there is still a great deal of confusion about what generative AI is, what it does, and what it means. Moreover, technology is evolving rapidly.
When ChatGPT launched in November 2022, generating 100 million users in the first two months, generative AI went from niche to mainstream. That said, there is still a great deal of confusion about what generative AI is, what it does, and what it means. Moreover, technology is evolving rapidly.
Starting with the basics, gen AI is the use of artificial neural networks to mine data sets and extract text (ChatGPT), images (Dall-E, stable diffusion), speech (Aipa, Deepgram, Assembly AI) Refers to a computer model that generates content such as . ). Gen AI is being used to automate tasks such as simple customer service conversations. To expedite tasks such as summarizing documents. Enhance human abilities such as software coding. From banking and pharmaceuticals to retail, fashion and (of course) technology, interest and investment in this sector is growing rapidly. And the possibilities are endless. McKinsey estimates that artificial intelligence could add $2.6 trillion to $4.4 trillion annually to the global economy in the form of productivity gains.
Starting with the basics, gen AI is the use of artificial neural networks to mine data sets and extract text (ChatGPT), images (Dall-E, stable diffusion), speech (Aipa, Deepgram, Assembly AI) Refers to a computer model that generates content such as . ). Gen AI is being used to automate tasks such as simple customer service conversations. To expedite tasks such as summarizing documents. Enhance human abilities such as software coding. From banking and pharmaceuticals to retail, fashion and (of course) technology, interest and investment in this sector is growing rapidly. And the possibilities are endless. McKinsey estimates that artificial intelligence could add $2.6 trillion to $4.4 trillion annually to the global economy in the form of productivity gains.
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What does this mean for India? Given our already strong position as a technology service provider, artificial intelligence prowess has the potential to open new frontiers of innovation and entrepreneurship. Overall, he believes the value of the Indian economy could increase by more than $100 billion.
Given the breadth of potential applications for generational AI, companies wishing to adopt should establish cross-functional groups to coordinate their approach. These teams are responsible for training, technology development and establishing new partnerships as needed. Most importantly, we need to balance the risks of artificial intelligence with the value it creates.
There are several ways India can successfully leverage genetic AI to benefit. Here are five of them.
Sales Productivity: Although digital channels are growing rapidly, India is still dominated by human-driven channels such as call centers and stores. Emails, chats, images, call recordings, and other sources are embedded with valuable consumer data that traditional machine learning models cannot explore. Gen AI tools can sift through and deploy this data in new ways. With easy access to information about the product portfolio, for example, sales staff can provide intelligent nudges to consumers and managers can improve coaching. This concerns a wide range of sectors such as consumer products, retail, banking, insurance, automotive, building materials and pharmaceuticals.
Similarly, gen AI tools can help business-to-business (B2B) sales teams review proposals, create new ones, and note areas that need attention, improving productivity.
Customer Engagement: By enabling digital self-service and enhancing agent skills, Gen AI can increase productivity in this area by 30-45%. For example, it helps you train inexperienced agents faster and deliver strong customer service. Additionally, gen AI tools can provide a comprehensive overview of past customer interactions. Real-time assessment of customer sentiment. and personalized recommendations. You can also solve customer problems and indicate where to target your communication. And all this can be done quickly. Perhaps the result is increased customer loyalty.
Technology Services: Over the past decade, India has experienced an 8-10% annual increase in automation productivity. Gen AI has the potential to do even better and faster. Gen AI can handle multiple programming languages. The tool is easy to deploy, requires limited setup and training, and is intuitive to use. In controlled pilot testing, Gen AI technology tools increased development, documentation, and testing productivity by 25-50%. So for digital ventures, software-as-a-service companies, and in-house software development teams, the potential is enormous. Finally, Gen AI will help define new services for businesses and customers.
Business functions: Gen AI answers queries, summarizes documents, drafts, and reviews contracts based on existing policies to support functions such as finance, HR, procurement, tech support, and legal can. Early results from such projects indicate a potential productivity increase of 20-30%.
Learning Effectiveness: Gen AI tools can provide coaching support for learners from kindergarten to work, including providing content, conducting assessments, and making customized recommendations for further learning. In addition to technical skills, tools for training soft skills, such as communication, will be available to help early and low-skilled employees perform better and faster. Become. It also has the potential to revolutionize schooling in environments where quality teachers are in short supply. gen AI tools could act as virtual assistants to support students and notify human teachers when they need their attention. It could also play a similar role in the medical field.
In short, generational AI has the potential to find applications in all areas and create significant new opportunities. However, there will be challenges. Gen AI models are prone to “hallucinating” and giving plausible but incorrect responses. In addition to protecting data and intellectual property, security must also be addressed. The monetary cost of use and the environmental cost of development can be high. Like any new development, Gen AI must be governed by organizational systems and a culture of digital trust and responsible use of AI.
There are also concerns that Gen AI’s productivity-enhancing capabilities could impact employment in areas such as software development and call centers. Large-scale adoption of gen AI for value creation is more likely in organizations and societies that train people in new skills and fit new roles, such as areas that emerge from gen AI applications.
India is a global leader in technology services and entrepreneurship. The introduction of cutting-edge AI strengthens its position and provides avenues to create new opportunities.
