On January 31, 1969 The Lompoc Record (a newspaper from Lompoc, California) carried an uncredited article from the United Press International Wire service with the Nipsey Russell-esque headline “Nets, Mets even play same way.” The author goes on to poke fun at the Nets by calling them a “welcome visitor” to any town they go […]
One of the biggest weeks in marketing events is over as INBOUND and Content Marketing World (CMWORLD) come to a close. Rather than rehash the common themes of both events, we thought it appropriate to analyze audience reactions to both. Let’s see both events by the numbers. Conference Attendance INBOUND cites a rough estimated attendance […]
Read More… from #INBOUND19 and #CMWorld 2019: A Visualized Data Recap
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
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
In this episode of In-Ear Insights, listen to the full, un-abridged audio from CEO Katie Robbert’s talk at the Business Analytics Conference (BACon) as she walks through use-cases for predictive analytics in multiple industries, from forecasting real estate sales to customer service call center staffing. You’ll also learn what constitutes good data and the overall […]
Read More… from {PODCAST} In-Ear Insights: Predictive Analytics at BACon 2019
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
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
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 […]
In this talk from Target Marketing’s All About Marketing Tech conference, Trust Insights co-founder Christopher Penn showed the breadth of modern customer experience and why mapping customer data back to the customer journey is essential for truly understanding your customers. Watch this talk to learn the customer experience data that maps to the journey, why […]
Read More… from Customer Experience: Listening to the Voice of the Customer with AI
Who loves cheese? Lots of people love cheese and it’s National Cheese Day here in the US. We’re showcasing a fun way to see predictive analytics in action, with Cheese of the Week. Cheese of the Week uses public search data, forecasted 52 weeks in advance from today (4 June 2019) to show when audiences […]
Read More… from Fun with Forecasting: Cheese of the Week Predictive Analytics
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