Technology Innovation in Emerging Markets
This keynote will articulate the need for a thriving innovation engine for emerging markets. It
will shed light on what are the key ingredients required to spur innovation that solves
problems, improves lives of people, and fuels the economic engine of emerging economies. It
will help us understand how these ingredients work and blend together to create the magic of
innovation learning from other parts of the world. Furthermore, this talk will also delve into
observed trends in various technologies considering the future we are heading towards.
Classical vs. Quantum information and application in Smart cities
Math. Dept., college of Science, University of Bahrain, Kingdom of Bahrain
I show the relationship between handling information from two different perspectives; classical and quantum. This comparison show that IT, computer Science, mathematics and physics are integrated sciences. I review some basic tools that are used in computations and their corresponding in the quantum domain. I introduce an application that is based on the main principles of quantum mechanics. Finally, I will discuss the possibility of secure communication via freezing the travelling information between any two users in a quantum network.
How can a ‘Digital Twin’ Helps in Optimizing the Oil and Gas
The pipeline infrastructure has reached over three million km globally and the investment continue to grow at about $40 billion a year for expansion and maintenance of the assets. The aging infrastructure, IT systems complexity and capabilities to leverage growing amounts of data continue to be challenging as it is estimated that less than 25% of the data generated for any given pipeline is used to formulate data-driven decisions. Big data analytics (BDA) and machine learning (ML) capabilities has been deployed quite substantially to reduce downtime and potential for human errors in the life cycle of a pipeline operation. Such analytics rely on the conceptual understanding of big data, framework, infrastructure and physical execution of these systems. This discussion is intended to explore the practical aspects of implementing the technologies as well as the issues and challenges of big data namely the velocity, volume, veracity and variety in managing the pipeline integrity for future research.