A little while back we introduced another segment of the market, the machines, You can read the full post here: https://www.trustinsights.ai/blog/2019/03/marketing-to-machines-the-b2m-segment/ Now we need to explore your current skill set as a manager and leader. With more automation and machine learning, you might feel like you need to start over. Surprise! You don’t. Believe it […]
Read More… from Using what you know to manage the machines – part 1
In today’s episode of In-Ear Insights, we’re pleased to present the audio from Katie Robbert’s lunchtime keynote at the HELLO Conference. In this dynamic and humorous talk, Katie covers predictive analytics for social media marketing. You’ll learn common use cases of predictive analytics, the two major branches of predictive analytics, and how marketers can get […]
Read More… from {PODCAST} In-Ear Insights: Predictive Analytics for Social Media Marketers Keynote
As marketers, especially B2B marketers, we care about many metrics. We like followers and audiences, we enjoy people caring and sharing our content, but we really love predicting traffic to our own media properties. Why? The closer we can measure towards the bottom of the marketing operations funnel, the more likely a metric is to […]
Read More… from Predicting Traffic for B2B Content: A Trust Insights/BuzzSumo Study
As a marketer, your sole focus should be how to reach your audience. In the digital space, the way that you can reach people is constantly evolving. Your marketing plans involve methods to engage with people on different platforms, build brand awareness, and understand behaviors that lead to purchases. Depending on your products and services, […]
In this episode of In-Ear Insights, we’re featuring some interviews that Trust Insights team members have done recently on podcasts, live video, and broadcasts. Today’s show features a half hour conversation with Christopher Penn and the B Squared Media team about the jobs AI will and won’t take, as part of the run up to […]
Read More… from {PODCAST} In-Ear Insights: What Jobs Will AI Take?
Artificial intelligence is a powerful tool, but until recently, has required substantial technical expertise even for a proof of concept. Drone technology has equally been either cheap but unreliable or very expensive and required significant training. In this video, watch as cofounder Christopher Penn shows the integration of a DJI Tello drone, Google Photos, and […]
Read More… from Winning with AI: Drones and IBM Watson Visual Recognition
In this episode, listen to co-founder Christopher Penn’s keynote address to the FUSE Digital Marketing Summit, an elite, invitation-only event for CMOs and top marketing leaders. Hear what leaders heard about adapting their organizations for AI, learning what’s coming, and what to do to prepare their companies. If you’d like to watch the video instead […]
Read More… from {PODCAST} In-Ear Insights: AI for Digital Marketing Leaders
In this week’s episode of In-Ear Insights, we eavesdrop on our MarketingProfs B2B Forum session talk about AI and analytics. When only 30% of CMOs use the analytics their organizations generate, and 70% of companies ignore their data, we know there’s plenty of room for improvement. Tune in as we explore AI and how it’s […]
It’s the start of National Novel Writing Month, or NaNoWriMo. One of the challenges of writing at scale is ensuring that your individual chapters and the work overall fit the emotional arc needed to hook a reader and keep them reading, especially if you publish a serial story. To help, Trust Insights has made an […]
Read More… from Free NaNoWriMo Emotion Arc Analyzer for Authors and Proofreaders
In this week’s episode of In-Ear Insights, join cofounders Katie Robbert and Christopher Penn as they tackle the basics of machine learning and artificial intelligence. What is machine learning? How is it different from artificial intelligence? What are good and bad use cases of machine learning? Listen in as they tackle these questions and many […]
Read More… from {PODCAST} In-Ear Insights: What Is Machine Learning?
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