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Vishwadeep Khatri

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Everything posted by Vishwadeep Khatri

  1. If Taiwan is lost, the tech industry won't be able to say it wasn't warned. A New York Times investigation found that executives were so focused on winning in their hypercompetitive markets and maintaining big profit margins that facing up to the Taiwan problem was an afterthought. View the full article
  2. The IT services sector faces a major change. Artificial intelligence will reshape how companies operate. This shift will increase business cycles and demand new talent strategies. Operating models will need significant updates. These changes introduce new risks for the industry. Investors are advised to be selective as the sector navigates this transformation. View the full article
  3. Meta and OpenAI are set to own a stake in one of their most significant suppliers at a time when rival chipmaker Nvidia is eyeing investments in some of its largest customers, including the ChatGPT parent. View the full article
  4. Q850As AI becomes part of everyday workflows, roles will not just change — entire career paths may evolve. Some responsibilities may shrink, others may expand, and new hybrid roles may emerge that combine domain expertise with AI fluency. Think of a specific career path in your domain (for example: analyst, team leader, improvement specialist, operations manager, etc.). How do you see that path evolving over the next 5–10 years in an AI-enabled environment? What capabilities will define progression and advancement? ⚠️ Any answer that is generic or does not connect with a specific career path or domain will not be approved. 💡 Participants are free to use AI tools while preparing their response — clarity, insight, and relevance will determine the best answer. 🏆 The best answer will be selected on the basis of: Relevance of the chosen career path Depth of insight into structural career evolution Practicality of the capability progression described Standard Note for Website VisitorsThis platform hosts two weekly questions — one on Monday and the other on Thursday. All previous questions can be found here: https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ To participate in the current question, please visit the forum homepage at: https://www.benchmarksixsigma.com/forum/ The question will be open until Tuesday or Friday at 9:00 AM Indian Standard Time, depending on the launch day. Responses will not be visible until they are reviewed. Responses will not be visible until they are reviewed, and only non-plagiarised answers with less than 5-10% plagiarism will be considered for winner selection. If you are unsure about plagiarism, please verify your answer using a plagiarism checker tool such as https://smallseotools.com/plagiarism-checker/ before submitting. Participants are welcome to use AI tools while preparing their answers. However, selection of the winning response will depend on the quality of thinking, contextual relevance, clarity of reasoning, and practical insight demonstrated. All correct answers shall be published, and the top-rated answer will be displayed first. The author will receive an honourable mention in our Business Excellence dictionary at: https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term.
  5. ✅ WINNER - Taby Sheikh — Very strong: specific QA role in AI-enabled customer support BPO, clear shift to system oversight, and practical hiring tests (scenario diagnosis, dashboard interpretation, coaching role-play). ✅ Himanshu Lohani — Excellent regulated role (Senior Policy Review Analyst – surplus lines tax), strong “judgment over speed,” and very practical revised hiring tests using AI-generated errors. ✅ Jinad Padiyath — Strong software engineer hiring shift with clear “more/less critical” criteria and modern interview redesign (AI-assisted build + critique). ✅ Anil Kumar (CAISA) — Strong fraud analysis role framing (“editor-in-chief”), good new criteria (framing, adversarial thinking, explainability) and solid interview approach with flawed AI output. ✅ Abhishek Chaudhary — Strong demand planner example; good emphasis on framing, causal thinking, and scenario/risk simulation with AI in place. ✅ Kush Singh — Clear L2/L3 screening/investigator role; good judgment-centric shift; could be stronger with explicit revised hiring tests/criteria list. ✅ Aditya Bhavsar — Strong publishing/typesetting context; good shift to complex exception handling and auditing; role title could be sharper. ✅ Suman Acharjee — Strong solar manufacturing grounding with concrete inspection/ERP examples; slightly scattered across multiple roles but still relevant and practical. ✅ Preethi Bijesh — Relevant doctor + AI decision support; good focus on judgment, ethics, empathy; slightly more generic than top entries. 🟡 Dhruva Kapur — Has a process, but becomes broad and role-sprawl; needs one specific role focus and clearer revised hiring criteria/tests. 🟡 Manish Gupta — Right direction, but reads template-like; needs a specific role title and a concrete hiring scenario/test to avoid “generic.”
  6. Speaking to Bloomberg, co-author Alap Shah, chief investment officer at Lotus Technology Management, said governments should consider taxing incremental or windfall gains from AI to offset job losses triggered by automation. View the full article
  7. Amid intense pressure from the Trump administration, Pentagon officials have summoned the CEO of artificial intelligence company Anthropic to Washington for a meeting on Tuesday to discuss how its technology is used on classified systems. View the full article
  8. ​Canada summoned top officials from OpenAI for a meeting about the company's safety protocols, a Canadian official said on Monday, after the ChatGPT maker said it did not reach out to police about an account it banned last year belonging to mass ‌shooter Jesse Van ⁠Rootselaar. View the full article
  9. Anthropic said in a blog post Monday that DeepSeek, Moonshot and MiniMax -- three prominent Chinese startups -- used about 24,000 fraudulent accounts to generate more than 16 million conversations with its Claude chatbot that could be used to teach skills to their own chatbots. View the full article
  10. Anthropic Data scrapped: According to the San Francisco-headquartered Anthropic, the three labs generated more than 16 million interactions with Claude using roughly 24,000 fraudulent accounts, violating the company’s terms of service and regional restrictions. View the full article
  11. Chinese AI startup DeepSeek's ​latest AI model, set to be ​released as soon as next week, was trained on Nvidia's most advanced AI chip, the Blackwell, a senior Trump ‌administration ⁠official said ⁠on Monday, in what could represent a violation of ​U.S. export controls. View the full article
  12. Technology companies and startups are betting big on voice AI models. Experts say Indian firms are more likely to crack it with affordable pricing and local context. View the full article
  13. At the India AI Impact Summit 2026, Indian deeptech startups showcased innovations beyond services, from electric air taxis to autonomous delivery robots. The most striking moment came from eight-year-old Ranvir Sachdeva, the youngest keynote speaker, linking ancient Indian philosophy with AI. These developments signal India’s move into frontier technology. View the full article
  14. Brad Lightcap, COO, OpenAI, says the company is going to make big investments in India: in infrastructure, in people and in AI deployment. View the full article
  15. Summits are full of ideas and meetings, but much is forgotten without a system. The MINE Framework helps capture people met, sessions attended, and key thoughts. By recording brief notes and using AI to organise them, attendees can turn fleeting encounters into meaningful follow-ups and insights worth acting on, Parminder Singh says. View the full article
  16. Industrial investment surged by nearly a third last year thanks to investment in AI and data centres in the United States, while investment in China slumped further, a study published Monday showed. View the full article
  17. AI giant Anthropic is at risk of losing a lucrative Pentagon contract over its policy that its technology should never be used for the mass surveillance of US citizens or in fully autonomous weapons systems. The three companies, along with Elon Musk's xAI, were contracted last year to supply AI models for a wide variety of military uses -- including what the Pentagon called frontier AI projects. View the full article
  18. A new ad campaign on Monday warned northern New Jersey residents that Congress could leave them vulnerable to harm by artificial intelligence. View the full article
  19. US technology giants Alphabet , Amazon, Meta and Microsoft are expected to ​collectively invest about $650 billion ​to scale up AI-related infrastructure this year, according to an ​analysis by Bridgewater Associates. View the full article
  20. OpenAI CEO Sam Altman believes GDP is an inadequate measure of quality of life due to AI's deflationary impact. He predicts a vastly deflationary economy by 2035, necessitating a societal reimagining for a world of abundance driven by automated scientific discovery and economic progress. View the full article
  21. OpenAI is partnering with major consulting firms like BCG and McKinsey. This collaboration aims to help businesses fully implement AI. The initiative focuses on integrating AI agents into core operations. View the full article
  22. L&T Group's digital infrastructure and sovereign cloud business Larsen & Toubro-Vyoma has entered into a strategic partnership with Lexlegis.ai to deploy its legal AI on its sovereign cloud, a statement said on Monday. View the full article
  23. Calling AI "probably the single biggest ​opportunity" for ​the industry and comparable to the discovery of electricity or ⁠the internet, he said current debates focus too narrowly ​on automation while missing a broader structural shift. Shetty argued that, much like cloud computing, AI will broaden rather than diminish the responsibilities of service providers. View the full article
  24. Everyone at last week’s India AI Impact Summit was debating power, water, and capital. Those are necessary conversations. But India’s AI infrastructure story has two other protagonists that nobody is talking about and without them, the puzzle never gets finished. View the full article
  25. During the session, Altman dismissed viral claims that each ChatGPT query requires the same energy as charging a smartphone, saying they were “totally fake.” He also deemed as misinformation the reports of each ChatGPT query using up about 17-18 gallons of water. View the full article

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