The ability to create and interact with large-scale domainspecific knowledge bases from unstructured/semi-structured data is the foundation for many industry-focused cognitive systems. We will demonstrate the Content Services system that provides cloud services for creating and querying highquality domain-specific knowledge bases by analyzing and integrating multiple (un/semi)structured content sources. We will showcase an instantiation of the system for a financial domain. We will also demonstrate both cross-lingual natural language queries and programmatic API calls for interacting with this knowledge base.

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Cloud computing is another pattern rising concept in IT industry with immense inevilability of framework furthermore, resources. Cloud computing is build up by conglomerating two terms in the area of innovation. Initial is Cloud and second is computing. Cloud comprises of heterogeneous assets. It is a work of immense framework with no significance with name "Cloud". Load Balancing is a vital part of distributed computing scenario. Productive load adjustment plan guarantees effective asset usage by provisioning of assets to cloud client's onrequest premise in pay-as-you-use. Load Balancing may indeed, even help organizing clients by applying proper planning criteria. This paper presents a review on load balancing methods in cloud computing with its various techniques. The objective of this paper is to study the various existing load balancing techniques on various parameters utilized to compare the current techniques with each other.

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