Data Machines

introduction data machines is a qualetics feature that allows users to apply a qualetics library of ai models to their data, establish conditions around the models actions against that data, and to connect the analyzed result of one model to other models combining this approach to creating your own simple, or complex ai automations or “data machines” with the other features inherent in qualetics ai management system (for data streaming docid\ vku08owje1j2 quxcf6 k , analytics docid\ x0dhx0byydxbm9gg6qgd1 , dashboards docid\ qwalhkq8agmw3vdkrdffk , and rest api integration to fetch data docid 38ne2i0xpkyj5rxpfbqnx ) you have a complete toolset for creating your own complex ai automations then deploying, operationalizing, monitoring and fine tuning them what can a data machine used for? data machines are designed to make ai executions easier for any application that needs the result of an ai operation to continue its process execution for example, performing an intelligent extraction of entities such as people, organizations and objects can be performed using an ai model cal named entity recognition (ner), while scraping text from a website here's an example of a data machine that can extract emotion from a text passage and provide a summary of the passage as well here's another example of a data machine that can detect the language of a text input, summarize it and provide the summary of the text in the original language detected while also providing a translation in the english language the list of ai operations that can benefit a software or business process can be many, the full list of available ai models are listed under the models supported by data machines docid\ b5sa7knz26kniwajsaq3u what is a data machine made of? a data machine is made up of steps every data machine would have an initial step, and a final step, but they can have more than two steps for example, if you were creating a data machine to summarize the actionable phrases in an input string, and to also analyze the sentiment inherent in the input, the summarization would be one step, the sentiment analysis would be the second step, and the desired action would be the final step all three of these steps would be contained in a single data machine steps currently, data machines provides the following types of steps that can be used to build a machine operational step docid\ kjijqvg7qvs0pawy3sioy to execute a task using ai conditional step docid\ kpbhvpfjjvxvlshvjoxqg verify a condition using ai final step docid\ ldwczh31 g4yheakielp3 configure the method of delivering the results