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Telecom minister Jyotiraditya Scindia on made in India iPhones: When you invest in India, you are…

Telecom minister Jyotiraditya Scindia on made in India iPhones: When you invest in India, you are…

Time of India06-05-2025
Telecom minister Jyotiraditya Scindia on made in India iPhones
Apple CEO Tim Cook on made in India iPhones
Jyotiraditya Scindia on India's telecom growth
Union Telecom minister Jyotiraditya Scindia emphasised that investing in manufacturing in India makes economic sense for original equipment manufacturers (OEMs), citing Apple's decision to source the majority of iPhones sold in the US from India as an example. Speaking at the Bharat Telecom event, Scindia stated that manufacturing in India can be affordable and reliable.During the Bahart Telecom event, Scindia stated the benefits of investing in India and the companies are choosing reliability, affordability and originality. He noted that Apple CEO Tim Cook had announced during a recent earnings call that the company would source most of the iPhones sold in the US from India in the June quarter.'Apple has decided to source and produce all its mobile phones in India in the years to come," Scindia said, adding that "when you invest in India, you are choosing affordability, you are choosing reliability, you are choosing originality."Apple CEO Tim Cook announced recently that India will become the primary manufacturing hub for iPhones sold in the United States, marking a significant shift in the tech giant's production strategy amid escalating trade tensions."For the June quarter, we do expect the majority of iPhones sold in the US will have India as their country of origin," Cook said during Apple's quarterly earnings call, where the company reported a 5.1% revenue increase to $95.36 billion.The announcement comes as Apple seeks to mitigate the impact of potential tariffs from the Trump administration. While electronic products including smartphones recently received a temporary exemption from the 145% tariffs on Chinese imports, Cook warned that future duties could significantly impact costs.Apart from manufacturing in India, Scindia also talked about India's telecom growth. Scindia stated that government's PLI scheme led to rapid expansion and growth in the Indian telecom sector."Investment of Rs 4,000 crore, half a billion dollars alone, has resulted in sales of Rs 80,000 crore, Rs 16,000 crore in exports, (and) 25,000 jobs being created. Therefore, the telecom equipment market has also grown manifold in India," Scindia said.
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Amazon Great Freedom Festival Sale 2025 live now with top deals on best gadgets and save up to 70% on big brands
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Amazon Great Freedom Festival Sale 2025 live now with top deals on best gadgets and save up to 70% on big brands

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Loading Suggestions... Up to 40% off on the best tablets The Amazon sale is live and packed with some of the best gadgets of the year. One standout category is tablets, now available with attractive discounts. From entertainment to education, these slim, portable devices have transformed how we consume content. Expect sharp screens, smooth interfaces, and battery life that lasts through the day. Ideal for children, working professionals or creatives, tablets come loaded with features that support video calls, streaming, and even gaming. Dive into the Amazon sale today and upgrade your setup with one of the best gadgets for work and leisure. Make smart choices that help you stay connected, creative, and in control, all without spending a fortune. Loading Suggestions... Loading Suggestions... Loading Suggestions... Up to 65% off on the best smartwatches Track your health, stay connected, and upgrade your style with the top smartwatches available in the Amazon sale. 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Beyond language barriers: Building culturally intelligent AI for progress
Beyond language barriers: Building culturally intelligent AI for progress

Hans India

time5 minutes ago

  • Hans India

Beyond language barriers: Building culturally intelligent AI for progress

Artificial intelligence has achieved remarkable milestones in recent years, from breakthrough reasoning capabilities to sophisticated creative applications. Yet as we celebrate these advances, a crucial question emerges: can AI truly serve humanity if it only understands how a fraction of the world thinks and communicates? The answer reveals both AI's greatest limitation and its most promising opportunity for evolution. Current AI systems, despite their impressive capabilities, operate predominantly through the lens of English-speaking cultures. While this approach has delivered remarkable results, it represents only the beginning of what artificial intelligence can become when it embraces the full spectrum of human cultural intelligence. The question isn't whether AI will become more culturally aware - it's how quickly we can guide that transformation to unlock technology's complete potential for global progress. Rather than viewing cultural diversity as a technical challenge to overcome, we have an unprecedented opportunity to build AI systems that are enriched by the wisdom embedded in different ways of thinking. This represents a fundamental evolution from pattern-matching to true cultural intelligence -and the benefits extend far beyond translation accuracy. Cultural Intelligence Gap Today's AI systems excel at processing vast amounts of data, but they struggle with something far more nuanced: understanding how different cultures conceptualize and express ideas. Consider the rich linguistic landscape of India, where an Assamese speaker's thought patterns reflect centuries of cultural evolution, philosophical traditions, and unique ways of understanding relationships, time, and community. When AI systems encounter Assamese cultural concepts - from the community-centered approach to problem-solving to the cyclical understanding of time that influences decision-making—they often default to Western frameworks that miss essential nuances. This isn't simply a translation issue; it's a fundamental gap in cultural comprehension that limits AI's effectiveness across diverse communities. The same challenge exists worldwide. Māori concepts of collective responsibility, Chinese philosophical approaches to harmony and balance, and African Ubuntu principles of interconnectedness represent sophisticated frameworks for understanding the world. When AI systems can't process these cultural intelligences, they can't fully serve the communities that rely on them. Opportunity for True Intelligence However, this limitation reveals AI's most exciting frontier. Imagine AI systems that don't just translate languages but truly understand cultural contexts - systems that recognize when an Assamese speaker's indirect communication style conveys respect, or when silence in a conversation carries profound meaning in certain cultural contexts. This evolution toward culturally intelligent AI promises transformative benefits across sectors. Healthcare AI that understands cultural approaches to wellness and family decision-making can provide more effective care. Educational AI that recognizes different learning styles rooted in cultural traditions can adapt to diverse student needs. Business AI that comprehends cultural communication patterns can facilitate more effective global collaboration. The path forward isn't about adding more languages to existing systems - it's about fundamentally reimagining how AI processes and responds to human diversity. This represents the next major leap in artificial intelligence development - moving from data processing to genuine cultural understanding. Building Bridges, Not Barriers Forward-thinking organizations are already pioneering this cultural transformation. Google's 1000 Languages Initiative announced in 2022 has led to significant progress, with Google Translate now supporting 244 languages as of late 2024 after adding 110 new languages in their largest expansion ever. Meanwhile, community-driven projects demonstrate how locally-developed AI can achieve remarkable accuracy by embracing rather than fighting cultural nuances. The key insight emerging from these efforts is that cultural diversity strengthens rather than complicates AI systems. When AI learns from multiple cultural perspectives, it develops more robust reasoning capabilities, better problem-solving approaches, and more creative solutions. Te Hiku Media in New Zealand exemplifies this approach, achieving 92 per cent accuracy transcribing te reo Māori language through community-led, Indigenous-controlled development that outperforms major tech companies' attempts at the same language. A system trained on diverse cultural data doesn't just serve more communities - it becomes more intelligent for everyone. This collaborative approach recognizes that different cultures have developed sophisticated solutions to universal human challenges. Incorporating these diverse problem-solving frameworks makes AI more capable of addressing complex global issues, from climate adaptation to social coordination. Recent initiatives like AI4Bharat's Indic-Parler TTS system, supporting 21 Indian languages including Assamese, and Pleias' Common Corpus with over two trillion tokens across dozens of languages, demonstrate the growing momentum toward inclusive AI development. The Technical Evolution The shift toward culturally intelligent AI requires fundamental changes in how we approach system development. Rather than starting with English-dominant datasets and attempting to add other languages, new development frameworks begin with multilingual, multicultural foundations. This involves partnering directly with communities to understand not just their languages but their thought processes, values, and approaches to reasoning. The most successful projects emerge from genuine collaboration where communities maintain control over how their cultural knowledge is represented and used. Advanced techniques like federated learning allow AI systems to learn from diverse cultural contexts while respecting privacy and community autonomy. Recent research from 2024 demonstrates how federated approaches can effectively handle multilingual AI development, with systems like MultiFED showing improved performance for low-resource languages while maintaining data sovereignty. These approaches demonstrate that technical excellence and cultural sensitivity aren't competing priorities - they're mutually reinforcing aspects of truly intelligent systems. Economic and Social Benefits The economic case for culturally intelligent AI is compelling. As global markets become increasingly interconnected, organizations need AI systems that can navigate cultural complexity with sophistication and sensitivity. AI that understands cultural communication patterns, business practices, and social dynamics provides significant competitive advantages in diverse markets. More importantly, culturally intelligent AI democratizes access to advanced technology benefits. When AI systems can genuinely understand and respond to diverse cultural contexts, they become genuinely useful tools for communities worldwide rather than technologies that impose external frameworks on local practices. Culturally intelligent AI The transformation toward culturally intelligent AI requires coordinated effort across multiple dimensions. Technology companies must prioritize genuine cultural partnership over superficial language addition. Educational institutions need to prepare AI developers who understand both technical capabilities and cultural sensitivity. Policy frameworks should encourage rather than merely permit inclusive AI development. Most critically, we need recognition that this evolution benefits everyone. AI systems that understand diverse cultural contexts don't just serve those specific communities better—they become more intelligent, creative, and effective for all users. The opportunity before us extends beyond fixing current limitations to creating genuinely superior intelligence. When AI systems learn from the full spectrum of human cultural wisdom, they develop capabilities that no single cultural perspective could achieve alone. Embracing Global Intelligence The future of artificial intelligence lies not in creating more powerful versions of culturally limited systems, but in building genuinely global intelligence that draws strength from human diversity. This isn't about political correctness or social obligation—it's about unlocking AI's complete potential by embracing the full range of human intelligence. As we stand at this technological inflection point, we have the opportunity to ensure that AI development reflects humanity's greatest strength: our ability to approach challenges from multiple perspectives and find solutions that none of us could discover alone. The next generation of AI systems will be defined not by their processing power or data volume, but by their ability to think across cultures, communicate across differences, and solve problems by drawing from the collective wisdom of human civilization. This represents more than technological advancement—it's an opportunity to build AI that truly serves global progress by understanding and celebrating the rich diversity of human thought and culture. The systems we build today will determine whether AI becomes a tool for cultural homogenization or cultural celebration. The choice is clear, and the opportunity is unprecedented. By embracing culturally intelligent AI development now, we can create technology that doesn't just process human languages but genuinely understands human wisdom in all its magnificent diversity. That's the foundation for artificial intelligence that truly enhances our quality of life in all spheres and spaces. (Krishna Kumar is a Technology Explorer & Strategist based in Austin, Texas, USA. Rakshitha Reddy is AI Engineer based in Atlanta, Georgia, USA)

I want to build a corpus of Rs 1 crore in 10-12 years. Where should I invest?
I want to build a corpus of Rs 1 crore in 10-12 years. Where should I invest?

Time of India

time5 minutes ago

  • Time of India

I want to build a corpus of Rs 1 crore in 10-12 years. Where should I invest?

Academy Empower your mind, elevate your skills To achieve 12-15% CAGR, you'll need to invest aggressively in pure equity mutual funds , with a higher allocation to mid and small caps to drive higher returns. Since you are 35 and have a long time horizon of 12 years, you can take risk and look at investing 20% in growth-oriented flexicap funds, 20% in value-oriented flexi-cap funds, 20% in contra funds, 20% in growth-oriented mid-cap funds, and 20% in growth-oriented small-cap funds. This portfolio will help you diversify across different market caps and styles, which is very important for minimising underperformance risk and generating superior returns. To amass `1 crore (pre-tax), assuming 12% CAGR in equity for 12 years, you will need to start a monthly SIP of `35,000. Keeping inflation in mind, the present value of `1 crore will depreciate over time. Hence, you should consider a 5-10% annual SIP top-up to be able to achieve your goal early. Gold may seem risk-free, but it is a risky asset from an investment point of view. Historically, there have been periods in which gold has given negative returns in double digits and has shown prolonged periods of cyclicality. This means that it has not generated any returns for investors for years at a stretch. If you are looking for a non-risky cushioning in your portfolio, investing in debt mutual funds and/or bank fixed deposits of high credit quality would be you retire at 50 with current monthly expenses of Rs 50,000, your expenses in the first year would be around Rs 53,500 per month or Rs 6.42 lakh annually. Assuming 7% annual expense growth, you'll need around Rs 1.38 crore, which means that your current corpus of Rs 2 crore will be sufficient. However, it's crucial to plan your retirement withdrawals right at the start so that you can invest in appropriate instruments and sustain your corpus. Further, ensure that you have adequate health insurance in place, an emergency fund equal to 6-12 months of your expenses, and a medical corpus to take care of out-patient a question for the experts? etwealth@

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