Nov 20, 2023 11:43 AM IST Generative Artificial Intelligence (GenAI) has taken the world by storm, and India is leaping ahead in its adoption. Indian companies are embracing AI at a rate that surpasses the global average, with approximately 57% […]
Nov 20, 2023 11:43 AM IST
Generative Artificial Intelligence (GenAI) has taken the world by storm, and India is leaping ahead in its adoption. Indian companies are embracing AI at a rate that surpasses the global average, with approximately 57% actively using AI. This percentage is significantly higher than in other markets such as Australia, the US, and the UK. Indian startups are also leading the charge, investing over $475 million in generative AI technologies between 2021 and 2023.
Tech giants like Google and Apple are using generative AI to develop innovative solutions. Google is experimenting with AI-powered search methods, while Apple is incorporating the technology into iOS and other applications. The potential applications of GenAI are vast, ranging from text and image processing to audio and video, 3D modeling, code generation, and more.
However, the successful implementation of GenAI requires a strong foundation of organized and high-quality data. Organizations must invest in modern data and technology infrastructure to ensure the readiness of Indian businesses for the future. This includes developing access to well-coordinated data, implementing scalable data architectures, and establishing governance and security measures.
A robust data governance framework is crucial for the responsible and effective use of data. This framework can be supported by catalog and lineage solutions that automatically identify and document relationships between datasets. Additionally, integrating data from diverse sources into a central repository allows AI models to uncover valuable insights and make informed predictions.
While generative AI is gaining traction, traditional AI still holds value, especially in areas like predictive analytics. For example, AI played a vital role in the Chandrayaan-3 mission’s Lander Hazard Detection and Avoidance Camera (LHDAC), enabling dynamic learning and adaptation during the delicate lunar landing. Likewise, machine learning is helping cities like Accra, Ghana, cut emissions and improve public health as part of the C40 network’s efforts to address the climate crisis.
By combining traditional and generative AI, organizations can extend the power of AI beyond data scientists and engineers, making it accessible to a wider population. The incorporation of generative AI into AI roadmaps is becoming increasingly prevalent among Indian organizations.
GenAI represents the future of AI, and its possibilities are limitless.
Q: What is Generative Artificial Intelligence (GenAI)?
A: Generative Artificial Intelligence (GenAI) is a form of AI that utilizes algorithms to create new and original data, such as images, texts, and audio.
Q: How are Indian organizations adopting AI?
A: Indian organizations are actively embracing AI, with approximately 57% of companies in India using AI, surpassing the global average.
Q: What are the potential applications of GenAI?
A: GenAI can be applied to various fields, including text and image processing, audio and video analysis, 3D modeling, and code generation.
Q: What is the role of data governance in AI implementation?
A: Data governance ensures responsible and effective use of data. It involves establishing frameworks, processes, and technologies to manage and protect data.
Q: How can organizations leverage both traditional and generative AI?
A: Organizations can combine traditional and generative AI to unlock deeper insights, solve problems faster, and make AI capabilities accessible to a larger population.