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AI and SEO in the Post-BERT World: What Marketers Need to Know

On October 25, 2019, Google changed everything again with its announcement that its deep learning powered natural language processing model, BERT, would now power search queries. With this announcement, machine learning expertise for SEO is no longer optional. Let’s dig into what this all means. What Is BERT? BERT is a massive language model that […]

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5 Ways Your AI Projects Fail, Part 5: Deployment-Related AI Failures

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this […]

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5 Ways Your AI Projects Fail, Part 4: Modeling-Related AI Failures

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this […]

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5 Ways Your AI Projects Fail, Part 3: Data-Related AI Failures

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this […]

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5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

Introduction The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this […]

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5 Ways Your AI Projects Fail, Part 1: Introduction and the AI/Machine Learning Project Lifecycle

Introduction: Why AI Projects Fail The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure […]

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{INFOGRAPHIC} The Speakers of MAICON

  Who’s who at the inaugural Marketing AI Conference, MAICON? Trust Insights analyzed the 48 speakers on MAICON’s Twitter list for their 2019 year-to-date posts to see who’s talking about what. Enjoy this infographic and download a copy if you’re going to be at the event and want to see which speakers might have the […]

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Friday Learning with Trust Insights #FridayLearning

Even when we’re called in as experts, we are also perpetual students and internally actively participate in Friday Learning (#fridaylearning). In our mission to light up dark data sometimes the path to getting things lit has some interesting lessons. Some fun, some exciting, some brutally painful. We queue them up and publish for others that […]

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Marketing Analytics, Data Science and Leadership – June 17, 2019 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading.   How to Build a Google Data Studio Dashboard via @smexaminer When you’re a small […]

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