This is a test Blog from Word 2007. Word has definitely been at the top of my worst software list (along with powerpoint and project) but this blog feature in 2007 definitely gives it a demotion in the worst catgory.
- You have the advantages of a local editor, including fast and personalized spell checking, full screen editing with complete hot-keys, etc. And you don't have to open up yet another browser window to get lost among the tabs!
-Then with one click you can publish, and it remembers your login/password. viola! a new post.
Posting using email is is a pretty cool option as well. All you do is send an email to joseph.someemail@blogspot.com and blogger creates a post for me. The drawback is that it does a really poor job of formatting. You'll notice some of my posts have random line breaks, these are posts I have made by sending an email. I'm expecting that Word will do a better job. Another fear was that Word would create some crazy HTML, but it seems to have kept its nose clean so far. It created clean, simple HTML. Kudos to Word 2007.
And hats of to Microsoft's efforts to be a friendly citizen: Within Word, when you choose from a list of blog sites to publish to, blogger which is owned by Google, is one of the choices. A tough choice I'm sure for Microsoft to list since they are an arch rival, but none-the-less, the right choice since blogger is one of the most popular blog providers.
-Blogger Joe
⚡ TL;DR I helped built a tool that lets you query Tableau’s semantic layer using natural language and AI. By integrating a LangChain agent with Tableau’s VizQL Data Service (VDS), we can repurpose Tableau’s trusted data model for conversational analytics . This means you can ask questions in plain English and get answers backed by the same definitions and security that your Tableau dashboards use. In this post, I’ll introduce this open-source agentic tool ( tableau_langchain ), why it’s transformative for analytics, and how it works under the hood. Why Connect LangChain Agents to Tableau? As a user of Tableau, I’ve seen how powerful Tableau’s semantic layer is. It encapsulates our organization’s business logic: things like predefined metrics, calculations, data relationships, and even row-level security rules. Traditionally, that semantic layer is only accessible through Tableau’s interface – you drag and drop fields to build a viz, and Tableau generates the query for you. Rece...
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