James Eaden was pissed off. He stared slackjawed at his screen, dumbfounded by just how out of control things had gotten.
Even as the theoretical evidence for the efficacy and revolutionary impact of blockchain and smart contracts on essentially everything keeps piling up, the Oracle problem stands as a major roadblock for the real-world adoption of the technology.
Another day, another cryptocurrency scandal. Yet fresh news that Tether, a long stablecoin stalwart and favored on-ramp for dollar-cryptocurrency trading, may be papering over losses of as much as US$850 million has done little to dent already moribund cryptocurrency prices.
A technological breakthrough in the realm of smart homes is set to foster connectivity between the owner and the home by clubbing robotics and IoT. By understanding the homeowner’s demands and providing tailored services, a new level of personalized experience will be achieved thanks to smart homebots.
A number of times last year I was asked “What do you think is the most important skill in data science?” I always replied “SQL”. Although this response was always met with a nod of agreement, I was often told that wasn’t the typical response. Understandable, the Python vs. R debate is apparently more sexy. But on day 1 of your first data job they’re going to introduce you to their data warehouse. This is the data you’ll utilize to analyze data, by writing SQL queries.
Companies love to exclaim “we’re data driven”. There are obvious benefits to being a data driven organization, and everyone nowadays has more data than they can shake a stick at. But what exactly does an organization need to be “data driven”?