1. Big data analytics: Mining structured and unstructured data from a variety of sources to draw intelligence and deliver it in real time to enable fast decision making will become increasingly critical
2. Consumerization of Enterprises: The pervasive use of social media and mobile devices will drive the need for infrastructure and services that enable greater user access, control and interaction
3. Computing Everywhere: As mobile devices continue to proliferate, an increased emphasis on serving the needs of the mobile user in diverse contexts and environments, as opposed to focusing on devices alone
4. Network Function Virtualization (NFV): NFV is no less than a paradigm shift that will transform service providers’ networks from a pre-defined set of physical infrastructure components to a set of modular software building blocks
5. Customer Experience: As digital communication channels are exploding and mobile devices get smarter, consumer expectations are changing drastically. Consumers expect consistent, proactive, personalized service across a growing number of channels, resulting in a positive, pain-free customer experience
6. Data Security: As mobility and BYOD trends increase, there will be a greater need for solutions that enable mobility while ensuring adequate security
7. Unified Communication and Cloud: Customers will increasingly demand real-time communication services to move from voice to data to cloud seamlessly while using a consistent user interface
8. More Demand for Cloud: Multi-cloud environments will increasingly be sought by companies as they look to improve business with new online services that foster growth while reducing costs, minimizing risks, and increasing agility
9. Over the top revenue stream: Data monetization through analytics and enterprise architectures that are designed to be CAPEX and OPEX efficient will provide increased revenue opportunities for enterprises
10. Internet of Things: As M2M protocols gain traction, there will be communication solutions that even out data utilization and loads across peak and non-peak times and improve overall IT efficiency
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