- #Alchemy data news ibm watson news explorer android#
- #Alchemy data news ibm watson news explorer series#
Pelz-Sharpe noted that while IBM's AI updates are welcome, other tech giants, including Amazon, Microsoft and Google, will likely make similar moves over the course of the year. This could be useful, for example, when trying to predict sales volume for the upcoming month, or travel time for a shipment.
#Alchemy data news ibm watson news explorer series#
The new features, according to IBM, are meant to enable businesses to develop models that predict future values of a time series based on past values. The tech giant also highlighted time series capabilities, in beta, in IBM Watson Studio. IBM released the new federated learning capabilities within IBM Watson Studio as a tech preview.
This method of machine learning training is particularly useful in situations in which data can't be pooled for privacy or regulatory concerns, such as in healthcare. Federated learning keeps the data sources separate, instead pooling parameters after individual models are trained. Typically, training data for machine learning models is pooled together before a model is trained on it. New federated learning capabilities in IBM Watson Studio, a machine-learning-as-a-service platform with tools for model building, data preparation and data visualization, will enable users to train AI models on previously siloed data. IBM said it plans to make the new feature generally available later in the second quarter. "These are questions that need to be answered but previously could not be," he said. "If you make business decisions based on planning forecasts driven by black box AI and they turn out to be wrong, who is responsible, and why were they wrong?" "Explainability in planning forecasts is essential," Pelz-Sharpe said. Meanwhile, IBM revealed a new statistical details page within IBM Planning Analytics with Watson aimed at providing users with more insights into how their forecasting predictions are generated. The capability, according to IBM, is meant to help users automate the reporting of personally identifiable information to improve accuracy and reduce audit times. Here is a link to My version of the News Explorer.Explainability in planning forecasts is essential.Īlan Pelz-SharpeFounder and principal analyst, Deep Analysis I would like to invite all developers who are interested in collaborating on this effort. A truck load or more in Healthcare (Really vast to list out here).
That inspired me to build a clone or somewhat near a clone of it. IBM released sources for all of their demo applications except for this beautiful piece of code. Then my eyes fell upon the News Explorer by IBM. Picked up the image analysis as a next project, but still did not seem to ignite anything in me.
#Alchemy data news ibm watson news explorer android#
Started off with the personality insights and created an android application to record voice and used the Google engine to convert it to text for personality analysis. The IBM Watson News Explorer uses the Alchemy Data News API to automatically construct a news. It's been a long 2 months, since I have started playing around with IBM Watson's APIs and other cognitive services. Monitoring health conditions through data from wearables.