While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.
Do you get excited every time you have to crunch numbers? Do you love knowing how many times people use their smartphones every day? Are you fascinated by how businesses use data to make decisions? If you do, then you might be ideally suited for a career where you could
Great tech events often feature a stunt or two that attendees will be talking about long after the conference hall has closed its doors; on this front, CUBE Tech Fair 2018 certainly delivered. Attendees got to witness an audience member pilot a drone with his mind (thanks to Emotiv’s President
The call to democratize data analytics today is unmistakable. The desire and need to perform analyses of company data, within all departments, has lead to this broad trend up and down the corporate landscape. By definition, data democratization is the principle that each one of us has access (and rights) to
Among the many things I loved about the latest Star Wars movie was our introduction to the unexpected rise of Rose Tico – a humble mechanic who gets thrust into the heart of the action following a chance encounter with Finn. By the end of the movie, she’s flying ski-speeders
It seems everyone and their grandmother wants to work in data science these days, and there are plenty of good reasons why that’s the case. First, the salaries are attractive: recent data from O’Reilly indicates the average compensation of a data scientist in the United States is $112,000 per year
If you ask a data scientist how to start or advance your data career, one of the first things they might tell you is to read. Not the answer you’d expect? You’d be surprised! The rapidly evolving nature of data science calls for professionals to keep a close eye on
It seems like every quarter a new McKinsey report predicts that this will be the year trillions of dollars of IoT potential is unlocked. But while the amount of data IoT produces has skyrocketed, we’re still waiting for that return on investment. The good news is, the reports aren’t wrong.
2017 was the year when blockchain technology burst into the public consciousness. Even beyond the truly startling rise of cryptocurrencies, we became aware of how a range of markets could be transformed by applications built on the technology. But as with any emerging technology that suddenly gains fame and begins
CEOs of the world’s leading companies have a global influence that stretches beyond their own business and commercial interests. The general public is increasingly looking to the people steering some of the largest companies in the world for their views on political and social issues. In a Financial Times article
Data science is a critical component of business operations today. According to Forrester, organizations that are driven by data science research and insights are twice as likely to be market leaders within their industries. The proof is in the pudding: investment in data leads to big-time payoffs for companies. While