Data-driven management has so far focused mostly on increasing efficiency and productivity, but new graphic tools aim to help executives set a strategic course.
Delegate some of your work to a robot…In the near future, simply having predictive models that suggest what might be done won’t be enough to stay ahead of the competition. Instead, smart organizations are driving analytics to an even deeper level within business processes—to make real-time operational decisions, on a daily basis. These operational analytics are embedded, prescriptive, automated, and run at scale to directly drive business decisions. They not only predict what the next best action is, but also cause the action to happen without human intervention. That may sound radical at first, but it really isn’t. In fact, it is simply allowing analytics to follow the same evolution that manufacturing went through during the industrial revolution.
The Microsoft Azure Media Services Indexer extracts keywords from a video file as metadata that can be used for categorization of audio-video in a custom application, such as whether the content pertains to subjects such as entertainment, politics, or neural-network research.
And that’s not all the Indexer can do. It also can deliver a machine-generated draft description for video and audio content, sufficient for a basic understanding of the clip in question, and it can supply keywords that can be used for categorization of audio and video, such as whether the content pertains to subjects such as entertainment, politics, and neural-network research.
What you need to know and ask.
Here are a few good questions to ask your analysts:
Can you tell me something about the source of data you used in your analysis?Are you sure the sample data are representative of the population?Are there any outliers in your data distribution? How did they affect the results?What assumptions are behind your analysis?Are there any conditions that would make your assumptions invalid?
Hortonworks is working on a new initiative called Stinger.next, which it hopes will remake Apache Hive into a much more-capable SQL engine within the next year and a half. A greatly improved Hive could put other vendors on the defensive explaining why their products are better.