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Vishwadeep Khatri

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Everything posted by Vishwadeep Khatri

  1. AI music companies Suno and Udio are facing legal challenges from major record labels over copyright infringement. These startups are now seeking to collaborate with the music industry. While some artists fear job displacement, others see potential in AI as a creative tool. Negotiations are ongoing to find a path forward for AI-generated music. View the full article
  2. Saha highlighted Tripura's potential as a regional innovation hub, citing its third-strongest internet gateway and strategic location as a corridor to South East Asia. View the full article
  3. According to Chopra, India’s biggest constraint is the mindset. “We need to shift from a business mindset to a builder’s mindset — from chasing near-term profit to building the future.” View the full article
  4. Nokia has won ​a multi-year contract with ​Telefonica to deploy AI-enabling networking ​solutions to support its new Edge data centre network across Spain, the Finnish ‌group said ⁠on ⁠Thursday. View the full article
  5. Chopra shared these insights during a panel discussion titled “Build, Borrow, or Burn: The Truth About Models,” featuring Peeyush Ranjan, founder of Meraki Labs, and moderated by ETtech’s Samidha Sharma. View the full article
  6. Albanian actor Anila Bisha is renowned for playing complex women on the stage and screen, skills honed over a 30-year career, but now she lives in the shadow of her AI avatar and a performance she never gave. According to the actor, she had signed a contract only for the use of her image on the e-services platform, and the agreement lapsed in December last year. View the full article
  7. The ideal participant is someone who wants to design AI solutions — not just understand AI tools, but shape how AI is applied to solve real business problems. CAISA is best suited for professionals who aspire to think and operate as AI Solution Architects. Importantly, becoming a Solution Architect does not require deep coding expertise or advanced AI research knowledge. What it requires is structured thinking — the ability to translate business needs into a clear, responsible, scalable solution design. Beyond aspiring Solution Architects, three other categories strongly benefit from learning Solution Architecture: 1. Professionals involved in AI-focused BRDs Those who create, review, or influence Business Requirement Documents for AI initiatives. If the problem definition is weak, the solution will be misaligned. CAISA equips them to structure AI requirements with clarity, feasibility awareness, and architectural foresight. 2. Professionals who want to build AI solutions themselves No-code or low-code builders who want to move beyond experimentation and start building solutions that are architecturally sound, scalable, and aligned to business objectives. 3. Leaders who want to challenge and elevate their tech teams Senior professionals who may not build directly, but want to ask better questions, push for better designs, and ensure AI initiatives are responsible, robust, and business-aligned. In essence, CAISA is for those who do not want to remain passive consumers of AI — but want to become structured designers of AI-driven change.
  8. According to Chopra, India’s biggest constraint is mindset. “We need to shift from a business mindset to a builder’s mindset — from chasing near-term profit to building the future,” he said. For Ranjan of Meraki Labs, on the other hand, the opportunity lies in leapfrogging rather than competing head-on. View the full article
  9. According to PhonePe CTO Rahul Chari, organisations should adopt AI in a phased manner, starting with human-in-the-loop systems. “The right approach is to start with human-in-the-loop enablement, reduce friction and time, and only then progressively remove humans from the loop where it makes sense,” he said. View the full article
  10. Fonada is revolutionizing customer interactions in India with its unique three-layer AI and telecom platform. This integrated approach combines core AI, applications, and telecom infrastructure. It ensures ultra-low latency, data privacy, and enterprise-grade scalability. Fonada's solution addresses key concerns like data privacy, cost efficiency, and latency for Indian businesses. View the full article
  11. Since that August update, I had four review meetings this week with participants from earlier CAISA batches. Out of 29 who joined these sessions, 19 (65%) are now actively engaged in the AI domain. By “active,” I don’t mean passive exposure. I mean they are: Leading or contributing to AI-focused BRDs Architecting AI solutions Working inside AI solution-building teams And some have moved into highly visible AI roles. A few notable developments: Vinod Azir now leads AI Solutioning in addition to Continuous Improvement in his organization Hardik Joshi and Anil Kumar are part of Global AI Development Teams Geoffrey Juma is joining Microsoft as a Cloud Solution Architect in the AI domain Sourav Biswas is working on a major multi-million-dollar Explainable AI project Solomon Gnanaraj is active in AI Solution Architecture Sumukha Nagaraja is architecting AI solutions Subash Chandar is into AI Solution Design Rajesh Rajagopalan has begun applying AI in solution development Charles has transitioned from the PM team into the AI team Ravnish Wesleyis driving AI adoption and structured BRDs Prabhakaran Sundaramurthy has built an AI Jury This is what matters. Not certificates. Not terminology. Not trend-following. Real role movement. Real responsibility shift. Real architectural ownership. CAISA is steadily building professionals who don’t just “understand AI” — they step into solution-level thinking and act on it. And the shift is accelerating.
  12. Much like early experiences with ChatGPT or AI text-to-image generators, trying to make an AI-generated song on platforms like Suno or its rival, Udio, can seem a little like magic. It takes no musical skills, practice or emotional wellspring to conjure up a new tune inspired by almost any of the world's musical traditions. View the full article
  13. Amazon's ​plan to ​invest up to $50 billion ‌in ⁠OpenAI ⁠could ​depend on whether ​the AI developer ​goes ⁠public or ‌achieves ​artificial ​general ⁠intelligence (AGI). View the full article
  14. Tata Consultancy Services is not resisting disruption from artificial intelligence, but is encouraging its associates to bring AI-led efficiencies even if it compresses the company’s revenue, chief executive K Krithivasan said. View the full article
  15. The Pentagon has asked defense contractors to assess their reliance on Anthropic, a person familiar with the matter said on Wednesday, ahead of ‌its Friday deadline ⁠for the ⁠AI service provider to respond to a request to eliminate safeguards. View the full article
  16. Canada said Wednesday it would consider new regulations on chatbots if OpenAI does not improve its security protocols, as the ChatGPT-maker faces scrutiny over its failure to report a mass shooter's activity online. Justice Minister Sean Fraser, who was in the meeting, told reporters in Ottawa on Wednesday that if the company failed to act, Ottawa would. View the full article
  17. DeepSeek, the Chinese artificial intelligence lab whose low-cost model rattled global ​markets last year, has not shown US ​chipmakers its upcoming flagship model for performance optimization, two sources familiar with the matter said, breaking ​from standard industry practice ahead of a major model update. View the full article
  18. IBM’s stock recovered a bit after its February plunge as experts highlighted AI startup Anthropic’s work on legacy COBOL code. Modernising decades-old, ‘spaghetti’ code could expand opportunities for tech services despite falling per-line-of-code pricing. Rewriting COBOL entirely may unlock a potential $1.6 trillion market, they said. View the full article
  19. Aravind Srinivas, CEO of Perplexity, revealed Perplexity Computer, a system that unites files, tools, memory, and AI models. It uses multiple specialised models, each handling tasks like reasoning, coding, or writing. Users can assign models to subtasks, giving control over performance and cost. View the full article
  20. This will help support the growth of the electronic system design and manufacturing (ESDM) sector in the state. View the full article
  21. Reliance Industries has announced that one of its units now owns a significant 70% stake in Reliance Enterprise Intelligence. The remaining 30% of the company is held by Facebook, indicating a substantial partnership between the two major entities in this particular venture. View the full article
  22. Devendra Fadnavis said the Mumbai civic body has been told to build a dynamic monitoring system using IoT and AI to track air pollution sources in Mumbai. Air pollution will not be monitored effectively unless its system is based on IoT and AI, Fadnavis said in the legislative council. View the full article
  23. Caspar Coppetti, cofounder of On, said automation enables the brand ​to make shoes faster, with less environmental impact, and closer to its key markets compared to the standard footwear manufacturing model, which relies on shipping finished shoes from factories in South-East Asia and China to ​shoppers in the U.S. and Europe. View the full article
  24. In this Economic Times podcast, Epsilon CTO Myron Sojka and MD Pratik Nath reveal how AI reimagines marketing: from mass reach to moment-perfect personalisation via 7,000 consumer attributes, 600 billion daily transactions, and Epsilon People Cloud automation. View the full article
  25. Anthropic chief Dario Amodei has warned that AI startups lacking moats and merely functioning as AI wrappers could lose out to large language models (LLMs) such as Claude and ChatGPT. View the full article

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