IBM has announced Watson Analytics Mobile for iPad — an app that can be used along with a free personal or paid enterprise Watson account.
The app can import data from a cloud-based Watson account into a spreadsheet or CSV format, as well as use apps such as OneDrive and Dropbox to import files. In addition, Twitter hashtags can be entered directly into the app for analysis.
Most features are available to free-account users — except for analyzing Twitter hashtags; although if you’re new to Watson, you’ll get a 30-day trial of that.
The app “is not a replacement for the Watson Analytics web application,” says Marc Altshuller, general manager of business analytics at IBM Analytics. “As such, the mobile app focuses primarily on the discovery capabilities.” Those include answering ad-hoc questions, using natural language queries to discover patterns in data, and asking questions with voice commands.
from the Secretary of State’s office, hoping to get some sort of histogram or bar chart showing distribution of early voters, but the bar chart needed some manual fiddling to get something close to what I wanted.
And when I asked for the relationship between number of registered voters and percent of early voters, only 100 points were shown on the bubble chart on the iPad. There are more than 300 cities and towns in the state, and it wasn’t clear whether those 100 were a representative sample. In the web version, all points displayed and there were more choices to create a customized data visualization.
One task the app is clearly designed for is monitoring Twitter hashtag sentiments on the go. For fun, I imported a few hash tags about my favorite NFL team, the New York Giants, to check sentiment about the team. There were few “ambivalent” tweets and a lot of positive ones. Not surprisingly, tweets spiked late Sunday, December 11 into the early morning of December 12, when the Giants played a nationally televised evening game and beat the Cowboys 11-1. (The game was the highest-rated primetime regular season game in almost three years, excluding kickoff weekend, so Twitter activity was probably unusually high.)