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Vishwadeep Khatri

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Everything posted by Vishwadeep Khatri

  1. Agentic AI is an advanced form of artificial intelligence focused on autonomous decision-making and action. Based on an analysis of more than 28,000 job postings, the report shows that Agentic AI roles are now firmly embedded within enterprise hiring, supported by the shift from GenAI pilots to production-grade autonomous workflows. View the full article
  2. Meta Platforms Inc., which own Instagram and WhatsApp, said that starting in the "coming weeks," teens will no longer be able to access AI characters "until the updated experience is ready" View the full article
  3. Democratic nations should move swiftly to prohibit Chinese-linked artificial intelligence platforms and collectively develop binding global norms to regulate AI, warning that Beijing-backed technologies pose serious threats to data security, democratic governance and human rights. View the full article
  4. Union minister Ashwini Vaishnaw revealed that India's technology ambitions received a strong boost at the World Economic Forum. Global leaders in semiconductors and AI expressed confidence in India's growth. Companies like Maersk are enhancing logistics infrastructure. Honeywell is partnering on railway modernisation and looking to expand manufacturing. View the full article
  5. PwC India launched an AI framework at Davos, saying artificial intelligence could add $550 billion to India’s economy by 2035. The plan focuses on agriculture, education, energy, healthcare and manufacturing to drive inclusive growth. Leaders said strong governance, skills and infrastructure are key to making AI people-centric. View the full article
  6. AI agents will soon outnumber humans, but people will remain essential. Surya Gummadi of Cognizant compares this to a teacher's role in a classroom. Humans will manage trust, governance, and training for AI. While some jobs may change, the focus is on creating more jobs than are lost. This shift promises a future with a mixed human and AI workforce. View the full article
  7. Business leaders at Davos remained upbeat about AI, saying it could create jobs and boost productivity, despite fears of layoffs. Some experts warned AI might threaten small businesses and workers if rolled out without oversight. Overall, optimism mixed with caution, as leaders discussed opportunities, risks, and the need for thoughtful regulation. View the full article
  8. Taiwan's President Lai Ching-te met with US Senator Ruben Gallego. He expressed anticipation for more semiconductor investment in Arizona. This move aims to bolster ties with the United States. TSMC is already investing significantly in Phoenix. Taiwan and the US have also struck a deal on tariffs. Further investments in semiconductors, energy, and AI are planned for the US. View the full article
  9. Lenovo is forging partnerships with multiple large language models globally. This strategy aims to integrate AI technology across its devices, from PCs to smartphones. The company is adopting an orchestrator approach, collaborating with various LLM developers. Lenovo also plans to pass on rising memory chip costs to customers. View the full article
  10. AI is now a significant tool in software development, with nearly a third of new code in the US supported by AI systems by late 2024. While AI usage is high among less experienced developers, experienced programmers are reaping the productivity benefits. This trend could widen the gap between skilled and novice coders. View the full article
  11. The Malaysian Communications and Multimedia Commission (MCMC) suspended the service on X and xAI on January 11 and appointed solicitors to commence "legal proceedings", without specifying what that would entail. Malaysian officials and X representatives met Wednesday for clarification and commitments on X's preventive measures and its compliance with Malaysian law, the MCMC said. View the full article
  12. Agentic AI and specialized GenAI roles are projected to grow 35-40% annually, with a demand-supply gap exceeding 50%. India's Agentic AI market is set to reach nearly $3.5 billion by 2030, driven by enterprise adoption and automation modernization. This surge creates new career directions for Indian tech professionals, emphasizing ownership, safety, and long-term value creation. View the full article
  13. Atlassian’s Team on Tour: Bengaluru brought together product leaders, partners, and customers for a one-day, invite-only deep dive into what it really means to make AI a “trusted teammate” at work. Discover the key highlights here. View the full article
  14. Artificial intelligence (AI) is projected to surpass the collective intelligence of the entire human race within the next five years, said Elon Musk, CEO of Tesla, Chief Engineer at SpaceX, and CTO of xAI at the World Economic Forum. Musk provided this timeline during a recent discussion with Laurence D. Fink, Chairman and CEO of BlackRock, regarding the acceleration of computational capabilities and the integration of autonomous systems into the economy. View the full article
  15. Evaluation Result – AI-Enabled Improvement & the Evolving MBB Role 🏆 Best Answer: Adil Khan Outstanding clarity and depth. A concrete improvement initiative (FAI cycle-time reduction) with a crisp articulation of what the MBB must own (problem framing & CTQs), challenge (AI assumptions, compliance gaps), and safeguard (people, ethics, sustainability). Strong DMAIC anchoring, real risk gates, and measurable outcomes make this exemplary. ✅ Approved: Ankit Kulkarni Very strong, real-world sourcing initiative. Clearly shows the MBB as the problem framer and habit-breaker, ensuring AI insights translate into negotiation effectiveness and savings. Excellent balance of AI acceleration with Lean discipline and governance. ✅ Approved: Taby Sheikh Relevant BPO scenario (attrition prediction) with good insight into ethics, data skepticism, and sustainment. The role of MBB as challenger and ethical guardian is well-articulated. Slightly abstract in places, but still grounded and meaningful. ✅ Approved: Vijay Yivaturi Detailed, end-to-end improvement journey in tax payments. Strong illustration of the MBB as a bridge between domain, tech, and governance, ensuring automation translates into durable performance gains. ✅ Approved: Arun Bhatia Clear manufacturing use case (time-motion study for conveyor downtime). Practical delineation of what the MBB must own, challenge, and safeguard—especially around safety and standard work. Solid and grounded. ✅ Approved: Abhinandan Kunder Complex planning scenario handled well. Clearly positions the MBB as a strategist defining trade-offs, data boundaries, and legal limits for AI. Good insight into where AI ends and improvement leadership begins. ⚠️ Not Approved: Sahil Anand Conceptually sound but too generic. Lacks a specific improvement initiative and concrete illustration of MBB responsibilities in action. ⚠️ Not Approved: Rabiya Bronekar High-level statements without a specific process or scenario. Does not meet the requirement for depth and applied insight. ⚠️ Not Approved: Bharath CN Good intent and coverage of DMAIC + AI, but overly broad and tool-focused. Missing a single, clearly explained improvement initiative tying responsibilities together. ⚠️ Not Approved: Vijay Gonsalves 100% AI-Content
  16. Q841 DMAIC has been the backbone of structured improvement for decades — helping teams define problems clearly, analyze root causes, and sustain gains. But when AI is introduced — surfacing insights instantly, simulating outcomes, or automating parts of analysis — the sequence, depth, and ownership of DMAIC stages may change.Think of a specific improvement initiative in your domain where AI could be applied. How would you adapt or reinterpret DMAIC in that context? Which stages become stronger with AI, and where must human judgment still dominate? ⚠️ Any answer that is generic or does not connect with a specific improvement initiative or process will not be approved. 🏆 The best answer will be selected on the basis of: Depth of understanding of DMAIC principles Insight into how AI reshapes (but does not replace) the method Practicality of the adapted DMAIC approach Note for website visitors— This 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, 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. 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. Some people seem to be using AI platforms to find forum answers. This is a risky approach, as AI responses are error-prone because our questions are application-oriented (they are never straightforward). Please take a moment to review this amusing example—https://www.benchmarksixsigma.com/forum/topic/39458-using-ai-to-respond-to-forum-questions/ We also use an AI content detector at https://app.originality.ai/. Only answers with less than 45-50% AI-generated content will be considered for winner selection.
  17. Thinking Machines, the AI startup cofounded by former OpenAI CTO Mira Murati, has faced internal turmoil as top executives Zoph, Metz and Schoenholz left for OpenAI amid disagreements over strategy and funding. Meta also apparently lured some other staff with offers worth hundreds of millions of dollars. The startup, valued at $12 billion, continues independently under Murati. View the full article
  18. Elon Musk, at the World Economic Forum, said AI and robotics could drive unprecedented global economic growth, creating a future of abundance where machines meet most human needs. He predicted robots may outnumber humans and help eliminate poverty, while cautioning on associated risks. Musk also discussed Tesla’s FSD rollout and a potential SpaceX IPO. View the full article
  19. Rwanda will test technology powered by artificial intelligence in more than 50 health clinics as part of a new initiative by the Gates Foundation to support 1,000 clinics across Africa with the aim to improve health care services. View the full article
  20. Karnataka has cleared the launch of a new artificial intelligence centre in Bengaluru to boost AI use and deeptech innovation. The facility, set up with NASSCOM, will support startups, MSMEs and research institutions across key technology areas. The Rs 20-crore project aims to strengthen the state’s position as a hub for applied AI. View the full article
  21. French generative artificial intelligence developer Mistral should top one billion euros ($1.2 billion) in revenue this year, chief executive Arthur Mensch said Thursday at the World Economic Forum in Davos. View the full article
  22. Spotify has launched a new artificial intelligence feature called 'prompted playlist' in the United States and Canada. This tool allows premium subscribers to create personalised music lists using their listening history and specific commands. The feature aims to give users more control over their music experience. View the full article
  23. IIT Bombay bioengineers have created new smart platforms. BrainProt unifies brain disease data from genes to proteins. DrugProtAI predicts if proteins can be drug targets. These tools help researchers find disease markers. View the full article
  24. Union Minister Ashwini Vaishnaw compared AI transformation to a cricket test series, emphasising India's significant role. He highlighted that the journey is just beginning, with India set to lead in various AI layers. Investments in infrastructure are substantial and growing. Innovations in energy are also noted. View the full article
  25. Elon Musk's AI chatbot, Grok, created and shared over 1.8 million sexualized images of women and children. This surge of disturbing content, generated in just nine days, sparked global outrage and investigations by governments. The scale and public nature of these AI-generated images surpassed previous online collections. X has since implemented restrictions on Grok's image creation capabilities. View the full article

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