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AI is Disrupting SEO in Huge Ways in 2023

Smart Data Collective

Marketing companies spent over $35 billion on AI in marketing research alone last year, but they are likely to spend as much on AI-driven SEO. The competitive landscape prioritizes page one results. Data paints a picture customized to specific content landscapes. They include the following: Keyword research.

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How To Write A Competitor Analysis Report

Aqute Intelligence

Staying ahead in a competitive market requires a deep understanding of your rivals. A well-researched and informative competitor analysis report is the key to uncovering detailed insights into your competitors' operations, helping you strategize effectively. For instance, let's say you're bringing a new fitness app.

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Opportunities and Risks Confront Highly Competitive US Transportation and Logistics Industry

ArchIntel

Included in her responsibilities for UPS today is the synthesis of user research, competitor analysis, market insights and customer feedback into plans for future product enhancements. Kinzer also directs global situational assessments, large-scale market modeling and competitive landscape research, according to her LinkedIn profile.

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US Still Dominates Global AI Market, But Competitors Abound

ArchIntel

The Bay leads all other regions of the country in AI research and investment activity, accounting for about one-quarter of AI-related conference papers, patents and companies. Ren is familiar with the cloud, business-to-business, artificial intelligence/machine learning, software-as-a-service business models and non-profit models.

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What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

Elegant BI

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps.

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What is Outlier Analysis and How Can It Improve Analysis?

Elegant BI

This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? An outlier is an element of a data set that distinctly stands out from the rest of the data. In other words, outliers are those data points that lie outside the overall pattern of distribution as shown in figure below.

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What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?

Elegant BI

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors.