<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Kerstin Frailey — Writing</title><description>Essays on AI strategy, machine learning in practice, and what it actually takes to lead organizations that benefit from both.</description><link>https://kefrailey.com/</link><language>en-us</language><item><title>What Leaders Actually Need to Know About AI Right Now</title><link>https://kefrailey.com/writing/what-leaders-need-to-know-about-ai-in-2024/</link><guid isPermaLink="true">https://kefrailey.com/writing/what-leaders-need-to-know-about-ai-in-2024/</guid><description>The boardroom conversation about AI has outpaced most leaders&apos; ability to evaluate what they&apos;re hearing. Here&apos;s how to ask better questions — and what the answers should sound like.</description><pubDate>Mon, 15 Jan 2024 00:00:00 GMT</pubDate><category>AI Strategy</category><category>Leadership</category><category>C-Suite</category></item><item><title>The Impact Hypothesis: The Missing Link in AI Projects</title><link>https://kefrailey.com/writing/the-impact-hypothesis/</link><guid isPermaLink="true">https://kefrailey.com/writing/the-impact-hypothesis/</guid><description>Data science teams spend months building models that technically work — and fail to move the business. The culprit is almost always the same: an unstated assumption between output and outcome.</description><pubDate>Fri, 22 Mar 2019 00:00:00 GMT</pubDate><category>AI Strategy</category><category>Product</category><category>Leadership</category></item><item><title>Talk the Talk: Data Science Jargon for the Non-Data Scientist</title><link>https://kefrailey.com/writing/talk-the-talk-data-science-jargon/</link><guid isPermaLink="true">https://kefrailey.com/writing/talk-the-talk-data-science-jargon/</guid><description>AI, machine learning, models, features — the words get thrown around in every boardroom. Here&apos;s what they actually mean, in plain language, with no condescension.</description><pubDate>Fri, 08 Mar 2019 00:00:00 GMT</pubDate><category>Data Literacy</category><category>Leadership</category><category>AI Strategy</category></item></channel></rss>