Larry Alton
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  • Seattle, WA
  • United States
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Larry Alton is an independent business consultant specializing in social media trends, business, and entrepreneurship. Follow him on Twitter and LinkedIn.
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Larry Alton's Blog

Intelligent Systems Vs. Artificial Intelligence: How To Help Your Clients

Posted on February 26, 2018 at 6:30pm 0 Comments

If many of your clients don’t understand the difference between artificial intelligence (AI) and intelligent systems, you’re not alone. There’s a deeply rooted misconception about AI that isn’t going to clear up anytime soon.

AI has become a marketing buzzword and is being used interchangeably with computer algorithms that analyze data and produce a…


5 Best Practices for Email Data Analysis

Posted on February 23, 2018 at 10:30pm 0 Comments

Data analytics is a red-hot field in terms of growth and popularity, but there’s a relatively new segment of the field that’s starting to catch fire: Email analytics.

Typically, email analytics have referred to email marketing, including measures such as open rates, click-through rates, and unsubscribe rates. But what about everyday emails that you send to your colleagues, superiors, employees, clients, and vendors?

New tools are starting to emerge for this type of analysis,…


The 7 Most Important Data Mining Techniques

Posted on December 22, 2017 at 7:30am 0 Comments

Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data you’ve already collected.

Relying on techniques and technologies from the intersection of database management, statistics, and machine learning, specialists in data mining have dedicated their…


Your Data Is Sound, But How’s Your Dashboard? 5 Aspects to Consider

Posted on November 22, 2017 at 4:30pm 0 Comments

One of the biggest problems in data management and data science is being able to obtain “good” data. You need to gather sufficient data from a substantial array of subjects who fit your study’s requirements, and ensure the accuracy of the data... otherwise, any conclusions you draw could be biased or skewed.

But assume for a moment that your data is already solid. That’s no guarantee of success, unfortunately: It’s like having all the ingredients of a pizza in one place but lacking…


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