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artificial intelligence in marketing

Marketing Artificial Intelligence Institute

Get the latest exclusive content on AI, machine learning, cognitive computing and related AI technologies—created by marketers for marketers.

Laurie Hood

Laurie Hood is Senior Vice President, Marketing at Mobilewalla.

Blog Feature

How Data Enrichment Improves Predictive Modeling

By: Laurie Hood
March 29th, 2021

Editor's Note: This post has been republished from Mobilewalla's website. Mobilewalla is a Marketing AI Institute partner.   Predictive analytics is the use of data, algorithms, and machine learning to forecast outcomes. Also known as predictive modeling, it underpins nearly all machine learning and artificial intelligence processes. While this field of study has been around for decades, the current data explosion coupled with modern computing power brings predictive analytics to the forefront of many business operations. Predictive models can help identify fraud, improve inventory and pricing operations, reduce risk, optimize marketing campaigns, and more. But before you go all in on artificial intelligence, it’s important to understand the foundations of successful predictive models. No matter which algorithm or software you utilize, you need enough data to fuel it. Data enrichment is the key to getting the most out of your predictive modeling investment.

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Blog Feature

Why Data Cleansing Is a Must for Predictive Modeling Success

By: Laurie Hood
March 22nd, 2021

Editor's Note: This post has been republished from Mobilewalla's website. Mobilewalla is a Marketing AI Institute partner.

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Blog Feature

First, Second and Third-Party Data: Better Together

By: Laurie Hood
March 15th, 2021

Editor's Note: This post has been republished from Mobilewalla's website. Mobilewalla is a Marketing AI Institute partner. To evaluate a dataset’s inherent strengths and weaknesses, you must consider its source. Not all data is created equal, and driving real results with AI and machine learning requires the right mix of owned and licensed data. Data scientists and marketers classify data into three different categories—first-party, second-party, or third-party data—depending on its origin. To stay competitive with your data strategy, it’s crucial to understand the strengths and weaknesses of each category and how they work together.

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Blog Feature

3 Ways the Mobile Advertiser ID (MAID) Helps You Know Your Audience

By: Laurie Hood
February 23rd, 2021

Editor's Note: This post has been republished from Mobilewalla's website. Mobilewalla is a Marketing AI Institute partner.

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Blog Feature

How AI in Marketing Can Make Your Brand More Resilient

By: Laurie Hood
November 2nd, 2020

Editor's Note: This post has been republished from Mobilewalla's website. Mobilewalla is a Marketing AI Institute partner. While virtually every company collects first-party data about its customers, many brands are now inundated with data and look to artificial intelligence (AI) techniques to derive actionable insights from it all. This strategy leverages machine learning and predictive modeling tools to make predictions about consumer behavior, which empowers marketers to engage more meaningfully with their most valuable audiences. In many industries, market forces influenced by the pandemic accelerate the need for AI-driven insights. Here, we’ll discuss how machine learning techniques can help your brand stay resilient through tightened marketing budgets, changing consumer behavior, and global economic strain.

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Blog Feature

Key Benefits of AI Technologies and Third-Party Data for Marketers

By: Laurie Hood
October 26th, 2020

Editor's Note: This post has been republished from Mobilewalla's website. Mobilewalla is a Marketing AI Institute partner. Let’s admit it—marketers have a really tough job. In a world which had rapidly transitioned to a digital-first landscape, it has become imperative for marketers to stay abreast of the latest technologies to help them achieve their business goals. The use of artificial intelligence (AI) is widely seen as the next generation of technologies which can be explored to reach your target customers with higher efficiency and precision especially within the domain of digital advertising.

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Disclosure: Marketing AI Institute writes about and recommends AI-powered marketing and sales technology. In all cases, content and recommendations are independent and objective. In some cases, Marketing AI Institute may have business relationships with companies mentioned, which may include financial compensation, affiliate compensation, or payment in kind for products or services. View a list of Institute partners here and MAICON sponsors here.