How Artificial Intelligence is Changing the Way We Live

I spent some time working for an AI chatbot company for a few years. Another company, OpenAI, recently launched a demo of it’s GPT-3 technology. I was quite impressed and interested since it was in the same space I previously worked in. So, I decided to use GPT-3 to write a blog post about artificial … Continue reading How Artificial Intelligence is Changing the Way We Live

IBM Watson Discovery Fundamentals Training

I’m excited to announce that I’ve released my first course on Udemy titled IBM Watson Discovery Fundamentals. This course is designed to give business and technical users a good high-level overview of the IBM Watson Discovery service. [lwptoc] What is IBM Watson Discovery? IBM Watson Discovery is an advanced search and analytical tool that uses … Continue reading IBM Watson Discovery Fundamentals Training

Watson Explorer vs Elasticsearch for Enterprise Search

Are you interested in IBM Watson Explorer vs Elasticsearch? Recently, I had to do some comparisons between IBM Watson Explorer and Elasticsearch for a project. I spent some time going through the features of both platforms and found some interesting features and comparisons. For this comparison, I’m only looking at IBM Watson Explorer Foundational Components … Continue reading Watson Explorer vs Elasticsearch for Enterprise Search

Tweaking the Number of Matches for the Relevancy Algorithm in Watson Explorer

Today I ran into a rather shocking situation while debugging some query relevancy issues in Watson Explorer AppBuilder. Another IBM Watson developer and I noticed that some results with a higher amount of matching terms in them were being ranked lower than some documents with fewer matches. This appears to be the opposite of what … Continue reading Tweaking the Number of Matches for the Relevancy Algorithm in Watson Explorer

IBM Watson Explorer Connector List

IBM Watson Explorer Foundational Components include many out-of-box connectors for various types of data sources including web, filesystems, shares, databases and content management systems. This allows Watson Explorer (WEX) to be a very versatile tool for ingesting and indexing from multiple data sources into a single search application. Here is a listing of the out-of-box … Continue reading IBM Watson Explorer Connector List

Regular Expression Converter for Watson Explorer Engine

Sometimes it’s useful to extract data from a Watson Explorer content node using regular expressions. In this post, I’ll show you how to extract data using a regular expression and create a new content node for that specific data. To start off we will use the default example-metadata collection. We will attempt to extract any … Continue reading Regular Expression Converter for Watson Explorer Engine

Using crawl-url nodes to enqueue data along with a url in Watson Explorer

viv:crawl-enqueue-url is documented as having 1 argument – the url to enqueue. However, it has an optional second form with two arguments which allows much more flexibility. If the first argument is set to the url and the second is a variable containing a crawl-url, that also works. (note the use of entities to create … Continue reading Using crawl-url nodes to enqueue data along with a url in Watson Explorer