Machine learning engineering aims to apply software engineering and data science methods to turn machine learning models into usable functions for products and consumers. Artificial intelligence technology is created using machine learning engineering with massive data sets. Machine learning engineering develops AI systems and algorithms to learn and ultimately make
What’s next for the Chief Data Officer role? How can CDOs navigate disruption, bring business value to their organizations, and, ultimately, get an invitation to the board of directors?
Last week, Dataconomy’s Stewart Rogers served as master of ceremonies for a CogX Open Web Forum panel (curated by Fabric Ventures) I participated in along with Muneeb Ali (Stacks) and Josh Tobkin (Supra-Oracles). We were grappling with the question of how we inspire best-in-breed technical stars to join Open Web
A long time ago, in January 2006, Business Week published an article entitled ‘Math Will Rock Your World” declaring, “There has never been a better time to be a mathematician.” The fact is that although this article is almost 15 years old, the article reinforces a consistently valid case for
Springboard launches data science bootcamp with a job guarantee – Springboard is launching its Data Science Career Track — the first online data science bootcamp that offers a job guarantee to its graduates. The company tracked 50 of its graduates and saw that all 50 got a job within six
Lindsey Thorne, Manager of the Open Source & Big Data Practice at Greythorn Lindsey has been in HR and recruiting for more than 12 years, and after narrowing her focus to the open source and data science market in 2012, she’s built a reputation for being the one recruiter “inside”
How does an IoT startup stand out against a sea of competitors? Looking in new directions and finding those profitable IoT niches is one way. The Internet of Things is everywhere. A report from VisionMobile found that there are 300,000 developers in IoT today, and that number will grow exponentially by 2020.
Want to find the next great data science guru? Look for flexibility. As demand for data scientists far outstrips the pool of qualified applicants, employers must look elsewhere – to individuals with no experience but high potential. The question: what defines “potential”? Now, an emerging body of work is helping
What does it take to get into tech’s hottest career path? Over the past year we’ve posted many articles related to getting into Data Science and the related fields. Experts from across the industry have talked about the core technical skills and where they can be acquired. Celebrating the launch
It isn’t a surprise that the amount of data generated in the past few years is astounding—in fact, the data generated within the last two years is close to 90 percent of all data ever generated. However, 80 percent of all enterprise data is unstructured as the numbers continue to