GOOGLE SEARCH CONSOLE FOR MARKETERS 25

{PODCAST} In-Ear Insights: Should AI Adopt a Clinical Trials Process?

In this week’s In-Ear Insights, Katie and Chris discuss the current state of AI deployment. Companies are rushing ahead to put models and algorithms into action with little to no due diligence, and the consequences can be disastrous. Should AI adopt a practice similar to clinical trials, where a model must prove that it causes […]

Read More… from {PODCAST} In-Ear Insights: Should AI Adopt a Clinical Trials Process?

GOOGLE SEARCH CONSOLE FOR MARKETERS 33

{PODCAST} In-Ear Insights: Evaluating New Technologies

Based on a question from our analytics community, in this episode of In-Ear Insights, Katie and Chris tackle the challenges of new technology. When a new piece of technology makes a big splash, how do we evaluate it? How should we assess whether it’s right for us, whether it makes sense to pursue it? What […]

Read More… from {PODCAST} In-Ear Insights: Evaluating New Technologies

Natural Language Processing and Content Marketing: An AMA with Trust Insights and MarketMuse

Natural Language Processing and Content Marketing: An AMA with Trust Insights and MarketMuse

On June 18, 2020, I sat down with Jeff Coyle and the MarketMuse community to answer questions after our webinar together on Natural Language Processing and its application to content marketing. Let’s see what’s on the minds of the content marketing community. Tatiana asks, “I’ll kick things off with my question – do you have […]

Read More… from Natural Language Processing and Content Marketing: An AMA with Trust Insights and MarketMuse

5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems

5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems

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 […]

Read More… from 5 Ways Your AI Projects Fail, After Action Reviews and Post-Mortems

GOOGLE SEARCH CONSOLE FOR MARKETERS 1 1

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 […]

Read More… from AI and SEO in the Post-BERT World: What Marketers Need to Know

What is First Party Data Second Party Data and Third Party Data 31

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 […]

Read More… from 5 Ways Your AI Projects Fail, Part 5: Deployment-Related AI Failures

What is First Party Data Second Party Data and Third Party Data 38

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 […]

Read More… from 5 Ways Your AI Projects Fail, Part 4: Modeling-Related AI Failures

What is First Party Data Second Party Data and Third Party Data 42

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 […]

Read More… from 5 Ways Your AI Projects Fail, Part 3: Data-Related AI Failures

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 […]

Read More… from 5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

Pin It on Pinterest