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Best of the Tableau Web: November 2021

Tableau

Search for sessions by category, starting with the Best of TC. She has always been a champion of the Tableau Community, and her conference recaps are worth their weight in gold. (I guess they thought I was talking gibberish?) Thankfully, I’m catching up on everything I missed by binge watching the on-demand sessions.

Tableau 102
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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Over the past few months, many others have started talking about some of the changes that we blogged about for years. Risk Parity was one of Andrew Zaytsev of Alan Biller and Partners’ investing categories in 2008.

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Best of the Tableau Web: November 2021

Tableau

Search for sessions by category, starting with the Best of TC. She has always been a champion of the Tableau Community, and her conference recaps are worth their weight in gold. (I guess they thought I was talking gibberish?) Thankfully, I’m catching up on everything I missed by binge watching the on-demand sessions.

Tableau 95
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Revolutionizing the consumer goods industry with integrated business planning

IBM Journey to AI blog

To address these challenges, Al Rabie partnered with 1Direction Global, a top solution provider in Financial and Operational Performance Management and Consulting, and a Gold Business Partner with IBM since 2018. They faced obstacles such as a prolonged budget process, manual forecasting, and no product profitability.

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Analyzing the history of Tableau innovation

Tableau

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. The innovation category radio widget in the top right of the history view describes my analysis. Release v1.0

Tableau 144
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Deep Learning Approaches to Sentiment Analysis (with spaCy!)

ODSC - Open Data Science

It’s always good to start a blog post with a joke (even if it’s not a very good one): Why is this funny? In my previous blog post , I talked through three approaches to sentiment analysis (i.e. In our sentiment analysis example, the two categories are “positive” or “negative”. Remember, this is using mostly default parameters.

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Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting

Google Research AI blog

To provide insight into the relative strengths and weaknesses of different models, EditBench prompts are designed to test fine-grained details along three categories: (1) attributes (e.g., Imagen Editor outperforms these models by substantial margins across all EditBench evaluation categories.

AI 113