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What exactly is supervised learning?

In one of my recent blog posts, I explain how Document Miners hold a “structured lens” over text and extract concepts that are relevant to a marketer, such as barriers or benefits. After the extraction is stored in the Market Logic Knowledge Graph, these extracted concepts are connected to other entities and then mined for…

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What’s the buzz with Research Automation (RA)?

We hear over and over again about the benefits of Research Automation (RA), but what exactly is it? And, why is it so buzzworthy? Last year, GreenBook Research Industry Trends (GRIT), reported that “69% of clients and 75% of vendors view market research automation as a positive trend or game changer.” And according to the…

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First Market Logic Insights Executive Roundtable at American Express HQ in New York

Friday 10 March saw the first Market Logic Insights Executive Roundtable, hosted by Phillip Chambers at American Express HQ in New York. The roundtable was convened to bring together executives responsible for Market Logic platforms in the Tristate area, with attendees from Amex, Colgate, MetLife, Keurig Green Mountain, Cardinal Health, Fidelity, Aetna, AIG, Comcast, PepsiCo,…

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Practical AI examples for marketing at I-COM Chief Analytics Officer Council

“We’re using AI to give creativity back to the marketers”. So said Market Logic CEO Kay Iversen this week at I-COM, the industry forum for Marketing Data & Measurement Strategy. Kay was invited to address I-COM’s Chief Analytics Officer Council about AI best practices to organize research and help the industry move forward. The Council…

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What is a componentized architecture and why do we need one now?

When it comes to artificial intelligence and cognitive computing, we couldn’t be living in more exciting times – new methods and technologies are invented every day, accelerating capabilities at a breathtaking pace. For a marketer, that means: what is completely impossible today, might be totally possible tomorrow, leading to higher uncertainty about business models and…

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How do discovery miners hunt for patterns across connected data?

In my last blog on document miners, I described the way they mine relevant structured information within unstructured artifacts to bridge the gap between unstructured and structured data. Once this data is harmonized into a knowledge graph we call the Market Logic, the next logical step on the path to actionable insights is to mine…

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Recap of Unilever’s case study at IIeX

This week’s IIeX (Insight Innovation eXchange Europe) was a huge success – organizers claim it’s the biggest attendance yet. And the Unilever case study Sheela Smale and I presented, was pretty well received. For sure there were tons of questions about topics ranging from data sources to integrate on your insights platform to the accessibility and…

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CognitiveBuster episode 2: human data memorization vs machine logging

The red pen is back and ready to continue crossing off our AI TV/film list. Let’s look at another Black Mirror episode, “The Entire History of You”. In this one, the majority of the population has a small ‘grain’ implanted behind their ears that constantly records everything they see, hear, experience, etc. Each person with…

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