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    AI will amplify India’s workforce, not replace it

    AI will amplify India’s workforce, not replace it

    To harness the full potential of the technology, organisations must focus on strategic data planning, ensuring they are equipped to leverage its capabilities. This will drive productivity, enhance customer service, and facilitate India’s growth in the digital era.

    Partnering to propel India’s AI revolution

    Partnering to propel India’s AI revolution

    Industry leaders believe that collaboration between Big Tech, startups and IT services will unlock India’s AI potential and drive innovation. They emphasise the need for systematic upskilling, AI literacy, and investment in research and development to leverage India’s demographic dividend and enhance economic growth.

    AI diet helping new-age companies run lean

    AI diet helping new-age companies run lean

    AI startups are betting on small teams, borrowing from the Silicon Valley playbook, to scale their operations and achieve significant revenue with leaner structures. These startups leverage AI tools to maximize productivity, aiming for high-value teams instead of large-scale staffing, thus reducing costs while driving innovation.

    Billions being spent on building frontier models, their returns declining: Nandan Nilekani

    Billions being spent on building frontier models, their returns declining: Nandan Nilekani

    Nandan Nilekani discussed the declining returns of building large AI models, highlighting China’s affordable, open-source approach. He emphasised the importance of high-quality data, such as AI4Bharat’s work, and the growing number of Indian startups using scalable technologies.

    Challenges in building localised AI data and responsible frameworks: AWS' Shalini Kapoor

    Challenges in building localised AI data and responsible frameworks: AWS' Shalini Kapoor

    AWS' Shalini Kapoor emphasised the need for India-specific AI data sets to address unique challenges in sectors like health and agriculture. She also highlighted the importance of responsible AI frameworks, model explainability, and user interaction in AI development.

    AI4Bharat to collect ten trillion tokens of data to power AI in Indian languages

    AI4Bharat to collect ten trillion tokens of data to power AI in Indian languages

    “Several startups, academic institutes and deeptech institutes are using this data to build their own models to accelerate the adoption of language technologies” said Mitesh Khapra, cofounder of AI4Bharat.

    Elon Musk shares report on Microsoft testing OpenAI alternatives

    Elon Musk shares report on Microsoft testing OpenAI alternatives

    Tech giant Microsoft is developing its own AI models, which may be offered to developers, according to the report by The Information. Microsoft’s GitHub unit has already introduced models from Anthropic and Google as alternatives to OpenAI’s GPT-4o for coding assistance, following a broader trend within the company to expand its AI options.

    AI doesn't really 'learn' -knowing why will help you use it more responsibly

    AI doesn't really 'learn' -knowing why will help you use it more responsibly

    Most AI systems that most people use, such as ChatGPT, also do not learn once they are built. You could say AI systems don't learn at all - training is just how they're built, it's not how they work. The "P" in GPT literally stands for "pre-trained".

    US drops bid to make Google sell AI investments in antitrust case

    US drops bid to make Google sell AI investments in antitrust case

    The DOJ still seeks a court order requiring Google to sell off its Chrome browser and take other measures aimed at addressing what a judge said was Google's illegal search monopoly, according to court papers filed in Washington.

    Elon Musk's xAI buys new property in Memphis amid supercomputer expansion

    Elon Musk's xAI buys new property in Memphis amid supercomputer expansion

    The new investment builds on the company's earlier announcement in December, in which it laid out plans to expand its Colossus supercomputer to house at least one million graphics processing units (GPUs) in the state.

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    The Economic Times