Vishwadeep Khatri

Launched in 2019, Glean is among the first AI-powered enterprise search platforms. However, the advent of AI has made it easier for companies to build products faster than ever before, offering a level playing field. This has increased competition and reduced the time taken to build and deliver a product. View the full article

The ‌leading ‌AI chip designer said in September ‌it would pay $23.28 per share for Intel common stock, in a deal that is seen as a ​major financial lifeline ​for the chipmaker after years ‌of missteps ‍and capital intensive production ‍capacity expansions drained its finances. View the full article

OpenAI chief Sam Altman said in a post on X that this was a “critical role” at a pivotal moment for the company. While AI models are advancing rapidly and delivering major benefits, he said they are also beginning to create serious challenges. View the full article

The data landscape in India is poised for a transformative leap, with estimates indicating a growth from 1.5 GW to an impressive 14 GW by 2035. This remarkable increase is largely attributed to the rising needs for artificial intelligence, cloud solutions, and the rollout of 5G technology. View the full article

New documents have raised concerns over China's alleged use of AI to influence Taiwan's elections, with reports warning of coordinated digital manipulation, fake online personas, and efforts to shape public opinion, prompting calls for stronger safeguards to protect democratic processes. View the full article

Artificial intelligence made a significant impact on pop culture in 2025. AI-generated music topped charts, and films used AI for accent enhancement. Classic movies were reimagined with AI, and podcast hosts cloned their voices. Deceased celebrities appeared in AI-generated videos, sparking debate. Hollywood grappled with AI's role, with some directors opposing its use. View the full article

Gautam Adani on Sunday made a strong case for India building its own sovereign AI capabilities, warning that unchecked dependence on foreign technologies could pose serious economic and strategic risks for the country, as he stressed that artificial intelligence has emerged as a defining force of the fourth industrial revolution. View the full article

Adani had visited Baramati, the home turf of the Pawar family, in 2022 to attend the inauguration of the Science and Innovation Activity Centre in the town, about 110 km from Pune. The relationship between Pawar and Adani goes back nearly two decades. View the full article

China’s cyber regulator has proposed new rules to tighten control over AI services that mimic human personalities and form emotional bonds with users. The draft would require firms to warn against overuse, manage addiction risks and protect data throughout a product’s life. It also bans content that threatens security or promotes violence or obscenity. View the full article

Earlier, layoff announcements often lifted share prices as investors anticipated cost savings and better margins. However, the study by Goldman Sachs has found that such announcements are now followed by an average 2% decline in share prices. That’s because companies announcing layoffs this year have seen higher capex, rising debt and interest costs, and weaker profit growth than their peers. View the full article

Stock markets remain upbeat about artificial intelligence, but debt investors are far more cautious. New and smaller AI firms are being charged high interest rates on the money they borrow, indicating investors' scepticism when new, unproven AI businesses take on large debts. While big firms like Amazon borrow cheaply, riskier AI companies face rising yields and falling bond prices. View the full article

Nvidia has agreed to license technology from AI startup Groq for use in some of its artificial intelligence chips, marking the chipmaker's largest deal and ‍underscoring its push to strengthen competitiveness amid surging demand. View the full article

The journey of artificial intelligence is not without its roadblocks. Critical factors like limited resources, privacy concerns, and safety considerations are pivotal in determining its future landscape. The increasing demand for power presents a formidable challenge, alongside ongoing water scarcity. Furthermore, the swift adoption of AI technologies risks shaking up job markets and could lead to economic bubbles. View the full article

Q833AI solutions are often praised for being “smart,” “fast,” or “innovative.” But beyond technical success, organizations struggle to answer a tougher question: Is the AI truly creating measurable business value? Think of a specific process in your domain where AI has been introduced (or is being planned). How would you define, measure, and track value from that AI solution — beyond basic metrics like accuracy or response time? What would convince you that the AI deserves continued investment? ⚠️ Any answer that is generic or does not connect with a specific, relevant process will not be approved. 🏆 The best answer will be selected on the basis of: Relevance of the chosen process Clarity in defining value (financial, customer, or operational) Practicality of the measurement 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.

Q833 – Evaluation Update Excellent depth this round 👍 Standout responses clearly showed where speed becomes dangerous and why AI must deliberately slow down. 👏 Adil Khan set the benchmark with a razor-sharp, high-stakes semiconductor OCAP example — crystal clear slow-down triggers, confidence thresholds, and risk-based escalation logic. A textbook case of speed with restraint. 👍 Sri (Finance & Banking) articulated practical pause signals around fraud and invoice approvals, balancing customer impact, confidence levels, and reversibility. 👍 Nageshwaran (Software & Automotive) and Sundeep Kailwoo (CX/ fintech support) added strong system-level thinking on irreversibility, safety, and governance. Key takeaway: Smart AI isn’t just fast — it knows when not to be. The real intelligence lies in recognizing uncertainty, impact, and irreversibility and pulling humans in at the right moment. Four responses (Venkatesh Lakshmipathy, Juma, Sandeep Saha, Mohammad Riyadh Al Kamal) were not approved because of AI content.

Focus on AI-driven solutions for grassroot challenges across global south View the full article

​​The Trump ‌administration will use that list to recruit software and data engineers, in addition to other tech roles, said Scott Kupor, director of the U.S. Office ​of Personnel Management, in ​a post on X. View the full article

A analysis of filings with the country's biggest power grid shows that about 60% of oil, gas and coal power plants slated for retirement in PJM postponed or cancelled those plans this year. Most of the plants averting shutdowns are peaker units. View the full article

OpenAI has introduced 'Your Year with ChatGPT', an annual recap designed to showcase users' unique interactions with ChatGPT over the year as well as assign personalised awards for their engagement. View the full article

As the United States revs up its artificial intelligence sector and military capabilities, a concerning dependency on Chinese-made batteries emerges. This reliance threatens national security, prompting the government to shift focus toward bolstering local battery manufacturing. View the full article

Investigative journalist John Carreyrou has sued major AI companies, alleging they used copyrighted books without permission to train chatbots. The case names firms including OpenAI, Google, Meta, Anthropic, Perplexity and Elon Musk’s xAI. The writers rejected a class action route, arguing settlements undervalue individual copyright claims. View the full article

Q833 AI systems are often designed to respond instantly—but in some situations, speed can increase risk rather than reduce it. High-impact decisions may require additional validation, context gathering, or human involvement. Think of a specific process in your domain where acting too quickly could lead to serious consequences. How should an AI system recognize that it needs to slow down, seek confirmation, or pause before proceeding? What signals or conditions should trigger this behavior? ⚠️ Any answer that is generic or does not connect with a specific, relevant process will not be approved. 🏆 The best answer will be selected on the basis of: Relevance and clarity of the chosen process Thoughtfulness in identifying “slow-down” triggers Practicality of balancing speed with safety 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.

🏆 Q832 Evaluation — “When AI Speeds Up Decisions, Do We Risk Making Worse Ones?” Top 3 Adil Khan — Best fit to the prompt. Very specific process (RFQ bid/price decisions), shows where speed helps (hit quote windows, capacity visibility) and where it hurts (novelty risk, margin erosion, loss of “war-story” checks). Safeguards are practical and measurable. ✅ Apoorv — Strong banking example (instant credit decisions). Clear “speed wins vs blind spots” framing + solid safeguards (human review bands, outcome monitoring, challenge sessions). ✅ Sri — Two concrete finance processes (credit approval + invoice approval). Clearly identifies blind spots and proposes realistic controls (confidence thresholds, HIL, trend monitoring, periodic validation). ✅ ✅ Also approved Mohammad Riyadh — Good risk framing and safeguards, but lighter on one single anchored process. Nageshwaran — Strong safety-critical example (brake parts) with balanced “speed vs context” and relevant checks. Sandeep Saha — Good principles, but too generic and not anchored tightly to one process. Sundeep Kailwoo — Interesting points, but largely generic and drifts into industry commentary rather than one process. ❌ Not approved Venkatesh Lakshmipathy — Too generic and assumes “data = always correct,” with no process-specific risks or safeguards beyond “provide correct facts.” Sandeep Saha - High AI content

ByteDance, is planning major 2026 spending on AI infrastructure, signalling the TikTok owner’s growing push into advanced artificial intelligence systems. View the full article

New Delhi is using AI for an array of services but a consolidated approach is needed for deeper adoption, write Twesh Mishra and Subhayan Chakraborty. View the full article