Walmart Praises AI while MS can take your data

Walmart backs AI while Microsoft may take your data

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Welcome to Crawl Walk Run AI, curated by Brad Reynolds and Brian Diehl. We hope you're enjoying this weekly newsletter to keep you informed about the world of AI. Please let us know if there are any topics you'd like to read about!

  • Microsoft will use your data from Copilot, Bing, and MSN for AI training.

  • Opt-out can let users prevent their data from being included, - starting 15 days after notification.

  • Enhanced AI models to learn from user interactions, ratings, and advertising effectiveness.

  • Data will be anonymized; European Economic Area data excluded due to privacy concerns.

  • Walmart reports that AI automation reduced staff needs by 99%.

  • GenAI helped improve 850 million data pieces in their catalogue.

  • 45%+ of their e-commerce fulfillment center volume is now automated.

  • Walmart introduces GenAI-powered shopping assistant, product search, and AI reviews.

  • Meta expected to spend $40 billion on AI; Microsoft nearly $19 billion on cloud and AI.

  • Generative AI deals in H1 2024: $500M in seed, $8.7B early-stage, $3.1B late-stage funding.

  • Nvidia’s AI chip sales to Meta and Microsoft fuel an AI bull market.

  • Key funded AI categories: Compute, Content Generation, Healthcare, Support, Automation, Robotics, Autonomous Driving.

  • Banned accounts linked to Iranian influence campaign using AI.

  • Created articles and social media posts on US election and Israel-Hamas war.

  • Achieved minimal engagement: few likes, shares, or comments.

  • Incident amid election security concerns/recent hacking attempts.

  • Targeting education; aims to detect whether content was created by AI, humans, or both.

  • The tool tracks the writing process, categorizing text as typed, generated/modifed by AI, or pasted.

  • Beta version to be in Google Docs next month; expansion to MS Word and Apple's Pages by end of the year.

  • Addresses false positives in AI-generated plagiarism detection.

  • AI firm working on generating and interpreting scents, akin to how AI creates images and sounds.

  • Teaching computers to smell involves identifying molecular patterns, a complex task.

  • The Tech could detect diseases like cancer or diabetes by identifying specific aromas.

  • Potential applications include transmitting smells over the internet and creating scent-based marketing.

If you have any data or AI topics you'd like us to cover, or if you have questions about implementing Artificial Intelligence in your organization, please reach out to Brian.  It's a pleasure exploring this new world of technology with you all.

Sincerely,
Brad and Brian

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