As our world becomes more and more digitalized, the demand for fresh data science talent is increasing tenfold. The need for candidates with relevant experience and education is fierce, and it’s not likely to ease up as companies continue to innovate technologically.
Despite the growing need for data science professionals throughout the industry, organizations are having a hard time filling related job openings. Employers are on the lookout for unique and creative communicators equipped with strong problem-solving and teamwork skills. Nowadays, this is a rare combination.
During your time at IE University, you’ll have access to workshops, lectures and events that will help you enhance your professional profile and transform yourself into someone that companies notice.
IE University will also keep you in the loop with what’s happening in the world of tech. For example, with the introduction of one of our new undergraduate programs, we hosted a panel of industry experts—including Director of LinkedIn Spain & Portugal Sarah Harmon—to explore the social impact of new technology and discuss how trends such as big data, mobile technologies, cloud computing and social media are changing business dynamics.
Thanks to our relationships with top organizations, you’ll be placed in a prime position to achieve big things. You can do an internship at an international company, or study at another world-class institution for a semester, giving you a huge leg up when you head out into the world of work after graduation.
So if you want to become a data science expert in a dynamic and innovative environment, you’ve come to the right place. To get you excited about your future in data science, here are some of the industry’s hottest topics right now.
Bringing together digital and physical data through the Internet of Things
The data which is stored on physical devices like home appliances and vehicles is currently being collected and deposited into a huge network known as the Internet of Things (IoT). Not only will this help to bridge the gap between digital and physical data, but it will increase efficiency within organizations.
Specialists estimate that the IoT will consist of approximately 30 billion objects by 2020, so it’s really important to have fresh talent with the expertise to process the data.
Understanding dark data
Dark data is information that is collected through different computer network operations that tends to be stored instead of being used to derive insights. Sometimes companies aren’t even aware that dark data is being collected.
Organizations have started to realize the importance of dark data as a tool for discovering insights into previous years’ performance, cost reduction and revenue creation.
Moving data into the cloud
Since many companies are finding it difficult to employ sufficient numbers of data science staff, many will be turning to the cloud as a non-physical processing platform, therefore reducing their reliance on data centers.
One upside to this is that the companies will not be locked into contracts to physical equipment. It also reduces spending and gives the users greater flexibility and access to data.
Tightening data security permissions
In a bid to prevent the unauthorized copy or theft of documents, companies are getting tough on data access permissions. Each user wishing to access specific data will have to have the correct permissions to access it. This is no small task. It will mean adjusting policies and creating new technology to detect unapproved access.
AI pattern recognition
Artificial Intelligence pattern recognition is being tested by Facebook to scan posts to identify individuals potentially suffering from serious mental health issue. This is just one of the many ways AI is being applied today. Companies are particularly interested in how AI can be used to sort large data batches. As this technology becomes more advanced with each passing day, it’ll be interesting to see where AI takes us in the business world and what it will mean for our society as a whole.