Trying to get coffee…

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Open Sourcing a sleek intelligence API

Back in 2011-2012 I put a lot of time and energy into creating a simple and sleek JSON API framework for quick intelligence prototyping; an API capable of managing JSON objects, and performing a lot of smart computing tasks. Fast forward to 2016, I decided to open source the codebase, sharing it with the world because I believe this framework, although a bit outdated by now, still has the potential to help others.

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SQLpie™ is an open source API framework that uses all sorts of SQL statements to creatively perform all kinds of computing tasks (thus, SQLpie). With SQLpie, developers can store JSON objects in a SQL database and run a lot of information retrieval and machine learning tasks on the data, covering areas such as: Text Classification, Text Summarization, Collaborative Filtering (item recommendation and similarity), Boolean/Vector Search, Document Matching, TagClouds, etc… The project is 100% written in Python and runs on top of a MySQL database.

The SQLpie project went after a lot of big challenges, and although I do not advocate that it includes the best implementations to handle all of those tasks, I believe the combined effort can help people quickly prototype new ideas, and hopefully, create new and awesome products.

Its API services can help developers with the following type of questions:

How can one store JSON documents? (answer: documents services)
How can one keep track of document relationships? (answer: observations services)
What documents exist for query Q? (answer: indexing and search services)
What documents are located near location L? (answer: geosearch service)
What top keyphrases and keywords relate to query Q? (answer: tagcloud search service)
What are the key sentences, entities, and terms associated with document D? (answer: summarization service)
What documents are similar (or relate) to document D? (answer: document matching service)
Will user U like document D? (answer: classification service)
How likely is user U to like document D? (answer: classification service)
What documents is user U likely to love based on user data? (answer: recommendation service)
What other users have a document taste similar to user U? (answer: similarity service)

If you’re a developer, learn more at SQLpie.com. The project is hosted on Github.

Cheers,
~ Andre Lessa

Benchmarking Engine: A new revenue stream opportunity with business data you already have.

Let’s start with the kind of question you are likely to ask yourself the first time you come across something new.

“What do I need a Benchmarking Engine for?”

A possible short answer is this: To efficiently and automatically identify opportunities for business performance improvement, customer/vendor satisfaction, and revenue generation.

Now for a more comprehensive answer… Continue reading