Datacenter and Cloud Transformation for Digital Enterprises A new conference for IT Infrastructure executives in CEE markets
Enterprises and third party operators across central and eastern European markets are transforming to cloud datacenters, fast becoming the indispensable infrastructure for computing, storage and management of big data. Enterprises require simple and scalable ways to create interoperability among many siloed data and endpoints, which offer highly available, multi-tenant and elastic integration cloud to support high density computing.
Many challenges confront companies who are adapting to a cloud environment: adjusting datacenter environments to cope with the new demands Cloud brings, and drive greater energy efficiency; security of Cloud and managing increased workforce use of smartphones and tablets; moving applications to the cloud to meet security requirements for service availability, manageability and connectivity - data security methods must solve multiple challenges; how IT departments manage the transformation to cloud brokerages and look to outsourcing as part of the solution. Workload migration between clouds is another key challenge for hybrid clouds - some enterprises are moving part of their workload to a public cloud environment while retaining other workloads in a private cloud. More businesses are looking to outsource non-core services via the cloud, make cost savings in the value chain yet benefit from cloud innovation especially in Big Data.
Datacloud CEE will assess the energy, scalability, security, architecture and software challenges confronting datacenters, and how enterprises can successfully manage the transition to cloud.
Market Opportunity: Big Data in the Internet of Things Big Data and Analytics software and applications will play a crucial role in making IoT a success. The data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes.
Structured and Unstructured (Big) Data in Telecom Analytics This report provides the reader with a broad understanding of telecom data (structured and unstructured/big data) and related analytics. The report identifies market drivers and opportunities as well as forecasts for certain key growth areas such as deep packet inspection.
Telecom Carrier Big Data Operations, Applications, and Services Telcos have a major advantage in that they have many sources of data but if they want to monetize that data and derive meaningful, actionable analytics it could be challenging due to the complexities of correlation, prediction, and the massive volumes of data from different sources.