Full Stack Big Data

The data science and analytics job market is growing rapidly. What's more, after a year of wages staying comparatively flat, data science and analytics experts can look forward to rises in 2019. That's according to a series of 2019 predictions from quantitative recruitment specialist firm BurtchWorks' managing director, Linda Burtch. If your organization plans to recruit these professionals in 2019, or if you are a data scientist looking to make some career moves this year, these predictions offer some useful insight about what you can assume in the year ahead. What's driving some of the changes? How can you leverage these opportunities? There are several forces in play right now, Burtch told InformationWeek in an interview. Organizations across almost all industries have recognized that analytics can make them more intelligent and more profitable. Career-focused young people are taking degrees to prepare themselves for such jobs. That has extended the talent

With humans and machines joining forces more than ever before, AI is no longer restricted to innovation labs and is being hailed for its immense transformational possibilities. Though, organizations need to overcome particular challenges before they can realize the real potential of this evolving technology. The key lies in leveraging the right prospects in AI. Provability Companies involved in AI cannot validate clearly why it does and what it does. No matter AI is a "black box." People are uncertain about it, as they fail to comprehend how it makes decisions. Provability – the level of mathematical cert behind AI predictions – remains a grey area for enterprises. There’s no way they can guarantee that the intellect behind the AI system’s decision-making is clear. The solution lies in making AI explicable, provable, and transparent. Businesses must embrace Explainable AI as a best practice. Data privacy and security Most AI applications depend on massive volum