As part of the upcoming IBM Win with AI Summit, I’m tackling some questions about how companies can make AI work for them. In today’s episode, we look at the journey to AI using the Trust Insights Enterprise AI Journey Framework: Data foundation Measurement & analytics Insights & research Process automation Data science Machine learning…
Sheri asks, “What is AI good at? What kinds of problems is it good at solving?” There are two sets of answers to this question. First, we need to know what AI delivers as an outcome: Acceleration of results Accuracy of results Alleviation of repetitive work Second, we look to understanding what we know and…
Monica asks, “How do I create good content for an industry I’m unfamiliar with?” I had a colleague in the PR industry who called this getting smart, fast, and she used the time-honored technique of reading and researching via Google, news sources, and social media subject matter experts. This is a time-tested approach that works,…
Kevin asks, “What’s the difference between unrefined and refined data?” As part of a larger discussion about metrics in marketing, Kevin’s question came up in reference to the importance of data. Unrefined data is as useful to business as crude oil is to a car – which is to say, it isn’t useful at all.…
In today’s #FridayFeeling, some thoughts about the future of agencies in an AI-powered business world. Great agencies provide four core benefits: Raw talent to do the work (saving time and possibly money) Domain expertise and experience Scalability Less overhead In other words, agencies offer the same benefits that many tout for AI. What must agencies…
Yariv asks, “What are the differences between data analytics, data science, business analytics, and business intelligence?” It depends on who you ask. Thanks to consulting and marketing, these terms all have varying degrees of overlaps, and companies which make their money on clarifying terms like this – consulting shops – often have conflicting definitions. You’ll…
Kevin asks, “How can a marketing team with zero AI / predictive resources get started, today? Where should they begin?” We follow the STEM business lifecycle: strategy, tactics, execution, measurement. Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 audio here. Strategy: what problem are we trying to…
Anika asks, “Data analytics is such an awkward phrase. What is data analytics, and how is it different than data science?” Data analytics is exactly what it sounds like – analytics you run on your data, any kind of data at all. We run data analytics on customer data, on machine data, on search data,…
