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YouTube's New Monetization Rules

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  YouTube is drawing a clearer distinction between responsible AI-assisted creativity and automated content farming with its updated monetization guidance. The July 2026 clarification does not ban AI-generated videos or introduce an entirely new monetization standard. Instead, it reinforces the existing requirement that monetized content should be original, authentic, and provide meaningful value to viewers. The focus is now firmly on the quality and originality of the final viewing experience rather than whether AI was used during production. The updated policy highlights three broad categories of inauthentic content that could lose access to monetization. These include generic and repetitive videos built from templates with minimal creative variation, emotionally manipulative or shock-driven content such as exaggerated rescue stories, and AI personas that present themselves as human experts on sensitive subjects including health, finance, legal matters, and politics. Channels tha...
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AI Readiness Starts With Trusted Data Ft. Dave Shuman, Chief Data Officer At Precisely

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  In this episode of TechDogs’ Discover Dialogues, host Vikramsinh Ghatge speaks with Dave Shuman, Chief Data Officer at Precisely, about why enterprise AI readiness is fundamentally a data challenge. According to Dave, organizations need more than advanced AI models to succeed. Trusted data, consistent definitions, strong governance, data lineage, quality, and disciplined decision-making form the foundation for responsible and effective AI adoption. Drawing from his career across broadcasting, e-commerce, analytics, big data, IoT, smart cities, and enterprise data leadership, Dave emphasizes one recurring lesson: data creates value when it enables people to make better decisions faster. Dave explains that organizations should begin their AI journey with the fundamentals that are often overlooked, including data catalogs, semantic layers, governance, and continuous data quality. He uses the OODA loop—observe, orient, decide, and act—to explain how enterprises can structure their da...
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Apple One Price Hike In India: How Much More Will You Pay Now?

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  Apple’s subscription pricing in India is attracting attention after the company increased the cost of Apple Music across all three plans. The Student plan now costs ₹69 per month, up from ₹59, while the Individual plan has increased from ₹119 to ₹139 and the Family plan from ₹179 to ₹229. The latest changes mean subscribers will pay ₹10, ₹20, and ₹50 more each month, respectively. The bigger question, however, is whether Apple One has also become more expensive. Reports claim that Apple One Individual, Family, and Premier plans now cost ₹195, ₹445, and ₹595 per month. However, these figures have not been fully confirmed by Apple. The company’s official India website currently lists the Individual plan at ₹195 and the Family plan at ₹365 per month, while the Premier tier is not displayed. Interestingly, Apple launched the Individual and Family plans in India at these same prices in 2020, making some of the reported price comparisons difficult to verify. For now, subscribers should...
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7 Large Language Model (LLM) Trends To Watch

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  As we grow, learning becomes an essential part of our lives. From speaking and reading to solving problems and communicating effectively, we continuously build knowledge through education, experiences, and interactions. Large Language Models (LLMs) follow a somewhat similar journey. Trained on enormous volumes of text, books, websites, and conversations, these AI systems learn patterns in language and improve their ability to understand questions and generate useful responses. As developers continue refining them, LLMs are becoming more capable, accurate, and natural in the way they communicate. Over the past few years, LLMs have evolved rapidly, powering applications ranging from customer service and content creation to software development and language translation. Advances in multimodal AI, fine-tuning techniques, and open-source models have made these systems more versatile and accessible. Models such as GPT, Gemini, Llama, Claude, and others are helping organizations explore...
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The Rise Of AI Slop On Social Media

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  AI slop has evolved from an internet curiosity into a large-scale content phenomenon powered by generative AI and engagement-driven social media algorithms. Unlike thoughtfully created AI-assisted content, AI slop prioritizes quantity over creativity, producing endless variations of emotional, low-effort videos designed to maximize clicks, shares, and watch time. From tragic cat stories to talking fruits caught in dramatic love triangles, these synthetic narratives rely on familiar emotional triggers such as betrayal, danger, romance, and rescue to keep viewers scrolling. Their rapid production has transformed AI-generated entertainment into a repeatable business model rather than a creative experiment. The growth of AI slop is closely tied to the accessibility of AI tools and the way recommendation systems reward attention. Modern text-to-video generators, AI voices, image creators, and editing platforms allow creators to produce content at unprecedented speed with minimal techn...
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Building Trusted AI For The Future Of Work Ft. Naomi Lariviere, Chief Product Owner & VP At ADP

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  In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Naomi Lariviere, Chief Product Owner and Vice President at ADP, about how AI, data, trust, and human-centered product leadership are reshaping workforce technology. Drawing on more than two decades of experience spanning financial services and human capital management, Naomi explains that technology is most valuable when it helps people navigate meaningful workplace moments such as getting hired, receiving pay, building skills, or advancing their careers. She emphasizes that successful products are measured not by the number of features they offer, but by how effectively they remove friction and improve user confidence. Naomi highlights how workforce platforms are evolving beyond traditional systems of record into intelligent systems that provide guidance and support. Rather than simply storing information or automating workflows, modern HCM platforms are expected to deliver timely answers, recomme...
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Staying Human In An AI-First Workplace Ft. Laura Thiele, CPO At Optimizely

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  In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Laura Thiele, Chief People Officer at Optimizely, about what it truly takes for organizations to thrive in an AI-driven era. Their discussion goes beyond technology adoption to examine the human side of transformation, highlighting how culture, continuous learning, empathy, leadership, workforce planning, and accountability shape long-term success. AI is rapidly becoming part of everyday workflows, making it essential for organizations to support employees as they adapt to new tools, responsibilities, and expectations. Drawing on nearly three decades of HR leadership across Lockheed Martin, SAP, and Optimizely, Laura emphasizes that successful AI transformation depends as much on people as it does on technology. She explains that leaders often underestimate the amount of change employees must absorb, from learning new skills and overcoming uncertainty to embracing experimentation. Creating an envi...
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