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How To Switch From ChatGPT To Claude: Step By Step Guide

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  Switching from ChatGPT to Claude is less about moving an entire account and more about rebuilding your AI workspace. While Claude offers an official memory-import process that can help bring over useful preferences, work habits, and recurring context, it does not automatically transfer your ChatGPT conversations, Custom GPTs, uploaded files, or integrations. Before making the move, review the information you plan to import and remove anything outdated, inaccurate, confidential, or sensitive. The transition starts by moving the context that matters most. Claude’s memory import feature can help bring over preferences and work-related details from ChatGPT, while custom instructions and reusable prompts can be copied manually. Account-wide preferences can be added to Claude’s instructions, while client-specific rules, publication guidelines, and workflow requirements are better placed inside individual Claude Projects. This helps keep your AI workspace organized and ensures that each...
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Elon Musk Unveils New Payment Platform X Money: Everything You Need To Know

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  Elon Musk's long-promised vision of an "everything app" is taking a major step into financial services with X Money. Beginning its rollout on July 27, 2026, the service is currently available to select U.S. Premium and Premium+ subscribers aged 18 and above. It brings peer-to-peer payments, direct deposits, bill payments, checks, wire transfers, and a Visa debit card into the X platform, allowing users to manage everyday financial activities alongside social and creator interactions. X Money is designed to function more like a fintech wallet or neobank experience than a traditional bank. Users can send money to other X users, receive paychecks through direct deposit, and access an interest-bearing account. Premium+ users can earn up to 6.00% APY, while eligible card purchases can provide 3% cashback. The X Money Card also supports Apple Wallet, has no foreign transaction fees, and offers ATM fee reimbursement under the stated terms. Cross River Bank serves as the regula...
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HR In The AI Era Must Stay Deeply Human Ft. Arppna Mehra

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  In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Arppna Mehra, Vice President Human Resources at Honeywell, about how HR leadership is transforming in an era defined by AI, business disruption, shifting workplace cultures, workforce agility, and evolving employee expectations. Drawing on her three-decade career, Arppna reflects on how HR has progressed from personnel management to human resources and, increasingly, to people experience. Her leadership philosophy was shaped by an early decision to move beyond traditional HR processes and understand the business firsthand by engaging with line managers, sales, manufacturing, operations, supply chain teams, and customers. A key theme of the conversation is the shift from control-led HR to trust-led leadership. Arppna explains that while HR was once heavily focused on compliance, policies, processes, and predictable execution, modern organizations need HR leaders who enable people and businesses to a...
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Is AI Draining Our Water Supply? The Hidden Cost Of Data Centers

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

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  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...
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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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