In hiQ Labs, Inc. v. LinkedIn Corporation, the U.S. Ninth Circuit Court of Appeals issued an especially notable decision with respect to the scraping of publicly-available data from the Internet for data analytics. While upholding a preliminary injunction prohibiting LinkedIn from cutting off access to hiQ, the court also held that hiQ’s scraping of such data did not constitute a violation of the federal Computer Fraud & Abuse Act (CFAA). This decision doesn’t completely clear the way for scraping of data from websites without the authorization of the website owner, but it is certainly helpful precedent for data analytics providers.
It’s likely you have at least considered how you can do more of your projects, or more components of them, in house.
Lately I’ve been talking with our company member representatives and thinking a little differently, this time about the megatrends shaping their world. Turns out, no surprise, that there are many more than five variables in that mix, bulleted below. What have I missed?
With the rise of data analytics to be an essential aspect of corporate America, the growth of Big Data to incorporate machine learning and artificial intelligence (AI) has left policymakers even more flummoxed.
John Busby on click-to-call analytics and mobile travel research
In the mid-1990s, companies like Amazon put the “e” in e-commerce by bringing the brick and mortar shopping experience to the Internet.