Chess and similar games have always been used to measure the “intelligence” of machines. Chess grandmasters have always seen an able sparring partner in a good chess engine running on a capable computer. The positional evaluation, which comes by intuition and is honed and sharpened by unforgiving hours of grueling practice, can be expressed as a set of mathematical models that fast computers can use to create gameplay.
Data Science Willy, as mentioned in a previous blog, is the Data Science cousin of William Shakespeare, and he loves to use and abuse terms and concepts from the literature of his great cousin to drive home points related to Data Science. More often than naught, he is annoying in being reverential. For instance, Data science Willy would be at absolute loggerheads with literature’s The Great William Shakespeare over the question “What’s in a name?”, especially if we look at “What’s in an algorithm?” or “What’s in an algorithm’s name?”. What’s in a name? Literature Will quipped this very question via Juliet. Juliet, we know, is in love and is finding philosophical means to ignore the raging conflict of being in love with a member of a family with whom her family has been in blood and animosity drenched feud.
When William Shakespeare wrote “To be or not to be” for Prince Hamlet to speak and express his contemplation for embracing the universal truth; little did he know that he would be quoted in various different contexts for different types of effects. A coward soldier saying; “to flee or not to flee”; a conniving trader evaluating an unsuspecting customer; “to fleece or not to fleece”; the colonial masters strategizing their exit; “to free or not to free”. And as guessed by you; a data scientist upon stumbling on a couple of interesting variables; “to correlate or not to correlate”.
Companies design application processes to provide the best possible experience for their customers. These processes rely on application and customer-originated events to function. These events and their outcome form the basis of the customer’s experience. Therefore, event-driven philosophy is an ideal way for companies to measure customer experience.
One of the challenges insurers face when implementing any new cloud-based application into their workflow is the integration of both internal and external data. Gaining access and permission to use internal data can be the first hurdle. Adding the requirement to format the data in a specific format can be a show-stopper.
Enterprise applications belong to a vibrant ecosystem and consequently the data they generate is large and varied. Enterprises both benefit and suffer from this nature of application and data.Whenever a new application is to be deployed in an enterprise that integrates with the applications in the ecosystem, the precondition is an 'expansive data definition with referential value' on day 1 to start integration. Traditionally, this approach to data integration involves identifying a target data structure, and force fitting data from all sources into it. This is done to ensure a 'seamless' integration - never mind the loss of data considered irrelevant.