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diff --git a/index.xml b/index.xml
diff --git a/sitemap.xml b/sitemap.xml
diff --git a/tags/business/index.html b/tags/business/index.html
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diff --git a/tags/career/index.html b/tags/career/index.html
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diff --git a/tags/data-business/index.html b/tags/data-business/index.html
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 "><meta name=author content="Yanir Seroussi"><link rel=canonical href=https://yanirseroussi.com/tags/data-business/><meta name=google-site-verification content="aWlue7NGcj4dQpjOKJF7YKiAvw3JuHnq6aFqX6VwWAU"><link crossorigin=anonymous href=/assets/css/stylesheet.6fb9fcf3671a76afec60509d26e3f0084405763b2a64fe4e9d447c94605f7822.css integrity="sha256-b7n882cadq/sYFCdJuPwCEQFdjsqZP5OnUR8lGBfeCI=" rel="preload stylesheet" as=style><link rel=icon href=https://yanirseroussi.com/favicon.ico><link rel=icon type=image/png sizes=16x16 href=https://yanirseroussi.com/favicon-16x16.png><link rel=icon type=image/png sizes=32x32 href=https://yanirseroussi.com/favicon-32x32.png><link rel=apple-touch-icon href=https://yanirseroussi.com/apple-touch-icon.png><link rel=mask-icon href=https://yanirseroussi.com/safari-pinned-tab.svg><meta name=theme-color content="#2e2e33"><meta name=msapplication-TileColor content="#2e2e33"><link rel=alternate type=application/rss+xml href=https://yanirseroussi.com/tags/data-business/index.xml><noscript><style>#theme-toggle,.top-link{display:none}</style><style>@media(prefers-color-scheme:dark){:root{--theme:rgb(29, 30, 32);--entry:rgb(46, 46, 51);--primary:rgb(218, 218, 219);--secondary:rgb(155, 156, 157);--tertiary:rgb(65, 66, 68);--content:rgb(196, 196, 197);--hljs-bg:rgb(46, 46, 51);--code-bg:rgb(55, 56, 62);--border:rgb(51, 51, 51)}.list{background:var(--theme)}.list:not(.dark)::-webkit-scrollbar-track{background:0 0}.list:not(.dark)::-webkit-scrollbar-thumb{border-color:var(--theme)}}</style></noscript><meta property="og:title" content="data business"><meta property="og:description" content="Human-generated words on data science, artificial intelligence, and related areas by Yanir Seroussi, an experienced data scientist and software engineer.
 "><meta property="og:type" content="website"><meta property="og:url" content="https://yanirseroussi.com/tags/data-business/"><meta name=twitter:card content="summary"><meta name=twitter:title content="data business"><meta name=twitter:description content="Human-generated words on data science, artificial intelligence, and related areas by Yanir Seroussi, an experienced data scientist and software engineer.
 "></head><body class=list id=top><script>localStorage.getItem("pref-theme")==="dark"?document.body.classList.add("dark"):localStorage.getItem("pref-theme")==="light"?document.body.classList.remove("dark"):window.matchMedia("(prefers-color-scheme: dark)").matches&&document.body.classList.add("dark")</script><header class=header><nav class=nav><div class=logo><a href=https://yanirseroussi.com/ accesskey=h title="Yanir Seroussi | Engineering Data Science & More (Alt + H)">Yanir Seroussi | Engineering Data Science & More</a><div class=logo-switches><button id=theme-toggle accesskey=t title="(Alt + T)"><svg id="moon" xmlns="http://www.w3.org/2000/svg" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 12.79A9 9 0 1111.21 3 7 7 0 0021 12.79z"/></svg><svg id="sun" xmlns="http://www.w3.org/2000/svg" width="24" height="18" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="5"/><line x1="12" y1="1" x2="12" y2="3"/><line x1="12" y1="21" x2="12" y2="23"/><line x1="4.22" y1="4.22" x2="5.64" y2="5.64"/><line x1="18.36" y1="18.36" x2="19.78" y2="19.78"/><line x1="1" y1="12" x2="3" y2="12"/><line x1="21" y1="12" x2="23" y2="12"/><line x1="4.22" y1="19.78" x2="5.64" y2="18.36"/><line x1="18.36" y1="5.64" x2="19.78" y2="4.22"/></svg></button></div></div><ul id=menu><li><a href=https://yanirseroussi.com/about/ title=About><span>About</span></a></li><li><a href=https://yanirseroussi.com/talks/ title=Talks><span>Talks</span></a></li><li><a href=https://yanirseroussi.com/consult/ title=Consult><span>Consult</span></a></li></ul></nav></header><main class=main><header class=page-header><h1>data business
-<a href=/tags/data-business/index.xml title=RSS aria-label=RSS><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" height="23"><path d="M4 11a9 9 0 019 9"/><path d="M4 4a16 16 0 0116 16"/><circle cx="5" cy="19" r="1"/></svg></a></h1></header><article class="post-entry tag-entry"><header class=entry-header><h2>Advice for aspiring data scientists and other FAQs</h2></header><div class=entry-content><p>Frequently asked questions by visitors to this site, especially around entering the data science field.</p></div><footer class=entry-footer><span title='2017-10-15 09:15:25 +0000 UTC'>October 15, 2017</span></footer><a class=entry-link aria-label="post link to Advice for aspiring data scientists and other FAQs" href=https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</h2></header><div class=entry-content><p>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</p></div><footer class=entry-footer><span title='2015-10-19 00:02:32 +0000 UTC'>October 19, 2015</span></footer><a class=entry-link aria-label="post link to Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling" href=https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>You don’t need a data scientist (yet)</h2></header><div class=entry-content><p>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</p></div><footer class=entry-footer><span title='2015-08-24 08:25:30 +0000 UTC'>August 24, 2015</span></footer><a class=entry-link aria-label="post link to You don’t need a data scientist (yet)" href=https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>Data’s hierarchy of needs</h2></header><div class=entry-content><p>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.</p></div><footer class=entry-footer><span title='2014-08-17 13:09:30 +0000 UTC'>August 17, 2014</span></footer><a class=entry-link aria-label="post link to Data’s hierarchy of needs" href=https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/></a></article></main><footer class=footer><span>Text and figures licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0/ target=_blank rel=noopener>CC BY-NC-ND 4.0</a> by <a href=https://yanirseroussi.com/about/>Yanir Seroussi</a>, except where noted otherwise  |</span>
+<a href=/tags/data-business/index.xml title=RSS aria-label=RSS><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentcolor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" height="23"><path d="M4 11a9 9 0 019 9"/><path d="M4 4a16 16 0 0116 16"/><circle cx="5" cy="19" r="1"/></svg></a></h1></header><article class="post-entry tag-entry"><header class=entry-header><h2>Positioning is a common problem for data scientists</h2></header><div class=entry-content><p>With the commodification of data scientists, the problem of positioning has become more common: My takeaways from Genevieve Hayes interviewing Jonathan Stark.</p></div><footer class=entry-footer><span title='2023-12-18 00:30:00 +0000 UTC'>December 18, 2023</span></footer><a class=entry-link aria-label="post link to Positioning is a common problem for data scientists" href=https://yanirseroussi.com/til/2023/12/18/positioning-is-a-common-problem-for-data-scientists/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>Advice for aspiring data scientists and other FAQs</h2></header><div class=entry-content><p>Frequently asked questions by visitors to this site, especially around entering the data science field.</p></div><footer class=entry-footer><span title='2017-10-15 09:15:25 +0000 UTC'>October 15, 2017</span></footer><a class=entry-link aria-label="post link to Advice for aspiring data scientists and other FAQs" href=https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling</h2></header><div class=entry-content><p>Nutritionism is a special case of misinterpretation and miscommunication of scientific results – something many data scientists encounter in their work.</p></div><footer class=entry-footer><span title='2015-10-19 00:02:32 +0000 UTC'>October 19, 2015</span></footer><a class=entry-link aria-label="post link to Miscommunicating science: Simplistic models, nutritionism, and the art of storytelling" href=https://yanirseroussi.com/2015/10/19/nutritionism-and-the-need-for-complex-models-to-explain-complex-phenomena/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>You don’t need a data scientist (yet)</h2></header><div class=entry-content><p>Hiring data scientists prematurely is wasteful and frustrating. Here are some questions to ask before you hire your first data scientist.</p></div><footer class=entry-footer><span title='2015-08-24 08:25:30 +0000 UTC'>August 24, 2015</span></footer><a class=entry-link aria-label="post link to You don’t need a data scientist (yet)" href=https://yanirseroussi.com/2015/08/24/you-dont-need-a-data-scientist-yet/></a></article><article class="post-entry tag-entry"><header class=entry-header><h2>Data’s hierarchy of needs</h2></header><div class=entry-content><p>Discussing the hierarchy of needs proposed by Jay Kreps. Key takeaway: Data-driven algorithms & insights can only be as good as the underlying data.</p></div><footer class=entry-footer><span title='2014-08-17 13:09:30 +0000 UTC'>August 17, 2014</span></footer><a class=entry-link aria-label="post link to Data’s hierarchy of needs" href=https://yanirseroussi.com/2014/08/17/datas-hierarchy-of-needs/></a></article></main><footer class=footer><span>Text and figures licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0/ target=_blank rel=noopener>CC BY-NC-ND 4.0</a> by <a href=https://yanirseroussi.com/about/>Yanir Seroussi</a>, except where noted otherwise  |</span>
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diff --git a/tags/data-business/index.xml b/tags/data-business/index.xml
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