cross-posted on medium and LinkedIn
This blog post will be the first installment of a multi-part series on technology, data, self-optimization, and context. Context is the often overlooked constant required for any level of optimization or understanding of a data-based problem.
I’ve worked in product capacities in the technology space for over ten years as a technologist and a go-to-market expert. I was taking products to the market and the market back to the product to create customer-centric solutions.
In that time I had the privilege of creating products and use cases to enhance the workflows used by tens of thousands of people every day and also creating products to create self-optimizing ecosystems. We will dive into the concept of context today to understand the importance of this often-overlooked variable in a contained system. Then look at it in other environments later. We will also talk about location and why location in many use cases is the ultimate in context.
Because this topic does come somewhat close to my day-to-day job, I should go ahead and say that this is my personal blog; the opinions are my own and may not represent my employer’s views. I hope to provoke you to look at more problems in terms of context and not just focus entirely on the data.’ Data is driven and explained by context.
