Posts

Is AI Draining Our Water Supply? The Hidden Cost Of Data Centers

Image
  Artificial Intelligence may seem weightless and instantaneous, but every prompt depends on a vast physical infrastructure of processors, data centers, cooling systems, electricity grids, and semiconductor factories. These systems consume significant resources, including water. While AI is not single-handedly draining water supplies worldwide, the rapid expansion of AI infrastructure is raising concerns about its impact on water-stressed regions. The extent of this impact depends on factors such as climate, location, cooling technology, energy sources, and whether facilities use freshwater, reclaimed water, or closed-loop systems. Water is required at several stages of the AI ecosystem. Data centers may use evaporative cooling to manage the heat generated by high-density computing equipment, while electricity generation and chip manufacturing add indirect water demands. Estimates of AI's water consumption vary widely because they depend on the model, workload, hardware, location, ...
Post a Comment
Read more

From Software Marketplaces To Agentic Commerce Ft. Andy Sen, CTO And Co-Founder At AppDirect

Image
  In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Andy Sen, CTO and Co-Founder at AppDirect, about the evolution of software commerce and the forces reshaping how businesses discover, purchase, manage, and scale technology. Drawing from his experience across IBM eBusiness, Walmart Labs, Salesforce, and AppDirect, Andy explores the journey from traditional enterprise software sales to SaaS subscriptions, digital marketplaces, and emerging AI-driven productivity. Andy explains how SaaS transformed software buying by replacing large upfront investments, lengthy sales cycles, on-premise deployments, and complex upgrades with cloud-based subscriptions and continuous product improvements. He also highlights the rise of user-led adoption, where employees and teams increasingly discover and adopt software before formal enterprise procurement begins. As software stacks become more complex, marketplaces and ecosystems have become increasingly important, hel...
Post a Comment
Read more

YouTube's New Monetization Rules

Image
  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...
Post a Comment
Read more

AI Readiness Starts With Trusted Data Ft. Dave Shuman, Chief Data Officer At Precisely

Image
  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...
Post a Comment
Read more

Apple One Price Hike In India: How Much More Will You Pay Now?

Image
  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...
Post a Comment
Read more

7 Large Language Model (LLM) Trends To Watch

Image
  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...
Post a Comment
Read more

The Rise Of AI Slop On Social Media

Image
  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...
Post a Comment
Read more