Machine-learning lies at the core of solutions provided by data analytics organizations. The very paradigm of how machine-learning based capabilities and solutions are offered has undergone a fundamental shift in very recent years. The days of monolithic, singular platforms or products in this space seem over, and have given way to nimbler, more modular, and more scalable architectures based on services and cloud computing. In particular, the micro-services architecture which was first applied to software systems and applications (in general), is penetrating machine-learning based software applications. The concept of “machine learning as micro-service” has arrived and is embraced by data scientists as the paradigm for productionalizing analytics solutions in an optimal fashion.
An individual’s attributes, such as his her or her interests, preferences, views, hobbies, inclinations, passions, aversions, political inclinations and such are of significant interest for a variety of commercial, research or community applications. Marketers or market developers, as just one example, stand to gain significantly from understanding such attributes about individuals or individuals in a given population as a whole. In addition, there is also interest in information about an individual’s “current state” such as their current location and/or activity. For instance mobile intervention health applications (on mobile devices) can significantly optimize and personalize their capabilities by leveraging activity details such as where an individual currently is, what they are now doing, etc.
Chatbots or Conversational Intelligent Agents, such as Siri, Alexa, Cortana, has gained a significant presence in the modern society. In addition to their impacts on personal life, intelligent agents/devices, as well as conversational chat agents for applications such as customer support and travel reservations, have transformed the way modern businesses are being conducted. By definition, “a chatbot (also known as a talkbot, chatterbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.”
Researchers have traditionally analyzed patient data that is genetic, patient medical record data, and other data such as patient MRI images or Pathology reports in cancer research. Cancer has largely been considered as emanating “from genetic factors”. It is becoming increasingly clear however, that the primary factors towards cancers of various kinds are not solely genetic, but that environment and lifestyle are key contributing factors as well.