Generative AI unlocking a US$4trillion opportunity – Part I
According to a McKinsey study on the economic opportunity of Generative AI’s impact on productivity, it could easily add an equivalent of $2.6 trillion to $4.4 trillion annually across diverse use cases.Generative AI will transform our lives, occupations and society in countless ways and its revolutionary ability to generate content from prompts will redefine the global economy.
Generative AI unlocking a US$4trillion opportunity – Part II
Generative AI can substantially increase labour productivity across the economy.The potential is immense.But as we navigate this new frontier, we must strive to ensure that its benefits are equitably distributed, lest we risk exacerbating existing economic disparities.The future of Generative AI should be one of inclusive growth, where all nations have the opportunity to thrive in the new digital economy.
AI for Clinical Trials
A recent amendment to the New Drugs and Clinical Trial Rules (2023) passed by the Government of India, aims to do away with the use of animals in research – especially in drug testing. The world is gradually waking up to the needless cruelty involved in animal testing. With all the added benefits AI can offer, there is no reason why the inhuman practice of animal testing must continue.
Dispelling Crypto Myths
Cryptocurrencies have become a hot topic of discussion in recent years, with both avid supporters and sceptical critics voicing their opinions. However, it is crucial to base our understanding of this emerging digital asset class on accurate information and reliable data.A comprehensive report released by a leading blockchain analysis company tries to debunk misconceptions and shed light on the reality of cryptocurrencies.
India’s Internet Economy
The flourishing internet economy in India presents a compelling opportunity for businesses to capitalise on. Leveraging digital technologies has become critical for streamlining the operating model and driving growth.India’s journey is a compelling narrative of rapid growth, digital maturity, and persistent innovation. India has stepped into its ‘Digital Decade’, primed to become a $1-trillion internet economy by 2030, albeit interspersed with unique challenges.
‘The Curse’ of Large Language Models – Part II
What happens when Generative Artificial Intelligencebegins to train themselves on content/data generated by their other Generative AI models? Researchers found that it triggered a ‘model collapse’, a degenerative process where generated data ends up polluting the training set of the next generation of models. As AI begins to dominate the content landscape, the value of real human interaction data will skyrocket – presenting a unique challenge for the future of AI development.
Marketing Strategies in a Low-Budget Scenario
As the global economy slows and fiscal constraints become more prevalent, an organisation’s capacity to manoeuvre resources effectively and judiciously becomes more important than ever before. With a limited marketing budget, every pound spent must be carefully planned to ensure it provides the maximum possible return on investment.
Meta opens up its data, content library
As regulators across the world get tough on how Big Tech is gathering our personal data and using it, companies are trying to be proactive in sharing what they do with our data before things become too hot.Facebook’s parent company Meta has announced that it will start rolling out a new suite of tools for researchers: Meta Content Library and API.Meta is striving to build a more open and accountable digital ecosystem and is trying to act in a way that shows a readiness to act for responsible advancement of technology.
The Veil of Ignorance in AI Making Ethical Choices
As artificial intelligence (AI) becomes more deeply integrated into our lives, the ethical questions surrounding its use and deployment are becoming increasingly important. Who decides how AI is used? What values guide its behaviour? And how are these values selected?There is no consensus yet on a single set of human values or preferences to govern AI.
AI cannot get smarter unless it senses the world
Despite the worldwide buzz about artificial intelligence (AI) systems soon outwitting humans and taking control, a new research conducted by scholars at the University of Sheffield concludes that as long as AI systems continue to be trained in the current modeland designed using current architecture, it is highly unlikely that they will ever develop human-like cognition.