Job description
The Professional Doctorate in Engineering (PDEng) programme Business & IT (BIT) offers you a 2-year position combining post MSc education and a design project to be carried out at video service provider Divitel in Apeldoorn.
The educational programme, carried out at the University of Twente in Enschede, will have an in-depth and broadening character with ample attention for professional development and will be partly tailored to the design project. In collaboration with Divitel in Apeldoorn you will work on high level, creative new designs for complex issues.
The challenge & the project
The key challenge in providing digital video services lies in video delivery ecosystems' complexity and dynamic nature. Manually sorting out logs, metrics, events, and alerts, diagnosing the causes of incidents and anomalies, then taking actions to correct quality issues require much human interaction and effort. This impacts service quality negatively, resulting in low Net Promoter Scores, low viewer satisfaction, high costs of operations, and high customer churn.
The typical Video Service Provider wastes a significant portion of its budget on inefficiencies that only worsen as complexity grows. The complexity of ecosystems continues to grow, and the number of ecosystem elements needing to be managed multiplies exponentially as technologies such as cloud migration take hold. Divitel wants to address this problem and bring an automated solution to the marketplace.
The vision is to automate video delivery operations resulting in a SaaS solution that includes a suite of tools that monitor, alert, and predict, which is also integrated into the decision-making process by providing insights about current conditions and receiving continuous feedback. When deployed commercially, it shall detect and fix service failures in just minutes instead of weeks or months. In addition, it will learn over time, becoming increasingly intelligent with each failure detected and will detect and fix problems in real-time. This way, a contextual resiliency and a high level of automation will be reached, where machine intelligence mostly makes decisions and executions. The solution will significantly increase video service providers' service quality, customer satisfaction, and operating margin.
Your goal is to design a framework and deliver a prototype implementation that efficiently and effectively collects data from various video delivery ecosystems and makes the data ready for machine learning and analytics. You will develop a data pipeline and data warehouse, and it will also have the intelligence to discover data sources, capture interactions between ecosystem elements, and map their interdependencies. This intelligence shall auto-discover the connected components in the environment and dynamically create a topology to visualize the connections across the entire ecosystem. With these, the solution can discover the functional dependencies within the video delivery workflows.
About the organization Divitel
Divitel is a multinational professional services company for the Media and Entertainment industry, headquartered in Apeldoorn. We have spent the last two decades transforming the way video delivery technology is designed, deployed, and operated for clients around the world. Currently, we're developing and deploying exciting new services on the cutting edge of data-driven video delivery operations, employing high-tech resources like AI, machine learning, and robotization to enable top-of-the-line video quality for TV operators around the globe.