I'm so glad and excited to be with all the youngsters here. So and uh thanks to all the organizers and the college management. >> [clears throat] >> I am close to 61 and you are close to 16. The journalist this is my 40th year in journalism and I was the principal for the last 25 years and I trained 3,500 people. So the power of youth at the what is the definition of youth? Youth as per the United Nations 15 to 24 is youth. And Indian context to Indian definition become 15 to 29 is youth. By both the defini ...

One of the biggest challenges of AI today. It's so easy to start experimenting. It's a lot harder to integrate whatever you build into your everyday workflow.And that to me kind of underscores that It's not just about like getting the work done. It's actually how do you dissect an everyday workflow and inject AI in it in a way that's sustainable, that's repeatable, that's trustworthy. Welcome to WorkLab, the podcast from Microsoft.I'm your host, Molly Wood. On Work Lab, we talk to experts about AI and the f ...

Asha Sharma considers Xbox users to be her core customers. But as the new boss tries to win them back, the ground is moving under her feet https://t.co/guEap04l2g ...

Platform Content Quality Analysis - LinkedIn is identified as the social media platform most heavily impacted by low-quality AI-generated content [1] - Over 40% of long-form posts on the LinkedIn platform are classified as fully AI-generated [1] Industry Implications - The prevalence of AI "slop" on professional networking platforms raises concerns regarding content authenticity and user engagement quality [1] - Market sentiment suggests a potential shift in user preference toward alternative platforms like X due to the degradation of content standards on LinkedIn [1]

AI Infrastructure & Hardware Ecosystem - Semiconductor and hardware leaders including NVIDIA (NVDA), AMD, Broadcom (AVGO), TSMC (TSMC), and Micron (MU) serve as the core pillars of the AI investment landscape [1] - Critical infrastructure components driving AI growth include HBM (High Bandwidth Memory), DRAM, 800G/1.6T optical modules, AI servers, GPUs, and ASICs [1] - Advanced manufacturing technologies such as CoWoS (Chip-on-Wafer-on-Substrate), PCB, and ABF substrates are essential for high-performance AI computing [1] - Power infrastructure and nuclear energy investments are emerging as vital support sectors for data center operations [1] Market Trends & Investment Analysis - Cloud hyperscalers including Microsoft, Google, Amazon, and Meta remain the primary drivers of AI infrastructure demand [1] - AI commercialization and application development are expanding through Large Language Models (LLMs), AI Agents, and SaaS platforms [1] - Market participants are closely monitoring AI bubble risks, tech stock valuations, PE (Price-to-Earnings) ratios, and EPS (Earnings Per Share) growth [1] - Investment vehicles such as AI-focused ETFs and semiconductor indices (SOXX, SMH, SOXL) provide diversified exposure to the AI sector [1]

Microsoft has spent billions trying to create a “Netflix of gaming”, with disappointing results. Meanwhile, the Xbox has suffered from neglect. Can it be rescued? https://t.co/jReje008fwPhoto: Getty Images https://t.co/WQVjPL8Scz ...