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 […]
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 […]
Read More… from Friday Learning with Trust Insights #FridayLearning
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 […]
Read More… from Marketing Analytics, Data Science and Leadership – June 17, 2019 Week In Review
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
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 Analyze Your YouTube Channel Performance in Google Analytics via @smexaminer To see traffic […]
Read More… from Marketing Analytics, Data Science and Leadership – June 10, 2019 Week In Review
Today, we’re pleased to feature, open to all, our opening keynote address at the NEDMA 2019 Conference. In this talk, you’ll see 5 practical applications of AI in use today, plus a never-before-seen glimpse at the use of natural language generation to create readable content at scale. Can’t see anything? Watch it on YouTube here. […]
Read More… from 5 Ways AI is Changing Marketing: NEDMA 2019 Keynote
In this episode of In-Ear Insights, we present a panel discussion from General Assembly featuring Trust Insights CEO Katie Robbert on the future of artificial intelligence, what to know before hiring AI and data science professionals, and much more. Listen now! Listen to the audio here: Download the MP3 audio here. Need help with your […]
Read More… from {PODCAST} In-Ear Insights: The Future of AI, A Panel Discussion
Machines are not taking your job, today anyway. Machines can replicate repeatable tasks and with enough data, make decisions. You will either manage the machines or be managed by the machines. In the first post, we talked about the skills you already have that can translate to managing a machine led process, or the machines […]
Read More… from Using what you know to manage the machines – part 2
In this episode, Katie and Chris recap the IBM Data Science and AI Roadshow, IBM’s traveling exhibition for Business Partners that showcases what’s possible with IBM’s suite of tools including IBM Watson Studio, IBM Watson Machine Learning, and IBM Watson OpenScale. Listen in as they discuss key features like reducing and mitigating bias in AI […]
Read More… from {PODCAST} In-Ear Insights: IBM Data Science and AI Roadshow Recap
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
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