Month: December 2019

  • You Ask, I Answer: Identifying Complementary Brands for Collaboration?

    Taiylor asks, “We are a small air-freshening brand with a subscription service… who should we collaborate with?! I’m struggling to come up with a complementary brand or even a TYPE of brand.” This kind of question is really important, because very often people will immediately look for businesses with similar styles and types of product.

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  • You Ask, I Answer: Local SEO Strategy?

    Chad asks, “Starting on a new website build and incorporating multiple drop off locations in various states for the business. Would it be best (for seo value) to build stand alone sites for each drop location or keep each location as a page under main site?” Generally speaking, you want to follow a logical organizational

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  • You Ask, I Answer: Stopping Misuse of AI?

    Jesse asks, “How can we stop bad actors from using AI for malicious means, from deepfakes to surveillance to hijacking political systems?” The short answer is you can’t. AI isn’t a mystical, monolithic technology in a black box. AI is a collection of mathematical techniques, techniques in statistics and probability. Can you stop bad actors

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  • You Ask, I Answer: Bots and the Future of Customer Experience?

    Bernie asks, “Do you see chatbots being effective in building and growing the relationships between the brand and audience in 2020?” Bots are a tactic, a tool. The question is, how effective are they at enhancing the overall customer experience? Right now, they’re a form of automation and as such are best suited for repetitive,

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  • You Ask, I Answer: Scaling Content Curation?

    Jen asks, “How do you curate content for your social media channels?” I have a list of trusted sources, about 150 of them, that I bring into a SQL database. I run several scripts to vacuum up the article text, index it, and then run natural language processing to identify the contents. After that, I

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  • You Ask, I Answer: Data Quality and AI?

    Sampurnakumar asks, “What level of data quality do you need for AI to be successful? Does it require the best data and best data usage to solve problems?” One of the problems with AI, conceptually, is that it’s seen as this mysterious entity that we don’t fully understand. Any qualified AI practitioner should immediately debunk

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