siliconindia | | Jan-Feb 20178By Anand Oswal, SVP, Engineering, Enterprise Networking Group, CiscoHARNESSING THE POWER OF DIGITIZATIONIN MY OPINIONThe business IT landscape is evolving at breakneck speed. The cumulative onslaught of technology advances in big data, IoT, cloud adoption, software defined networking, virtualization, threat detection and security enforcement has resulted in enterprises moving along their digitization journeys at a much faster pace. So, where are these trends headed in 2017? What is their likely impact on your business in the coming year? Here is our reading of the tea leaves.1. Companies Start to Harness the True Power of Digitization:The transformational journey to build a digital business begins with a strong foundation. Enterprises that are driving a digital transformation must first transform their IT infrastructure to make it more open, extensible and software-driven. This, in turn, enables insights for faster business innovation, automation and assurance.2. Big Data to Everything Data:We expect 50 billion devices to be connected by 2020. These will generate in excess of 5TB of data per person. In a single year, we created more data than the past 5000 years. Data, however, is not just about a large number of numbers. It's what we are able to unlock using the data and insights. The world of post facto analytics and understanding what happened is no longer good enough. 2017 will see advancements in translating data into information, information into insights and generating action out of these insights to create specific business outcomes.3. IoT Scales Backed by Fog Computing:From smart buildings to smart cities, the IoT technology is now permeating every sphere of business. We expect IoT to come into the physical office space in 2017 in a much more comprehensive manner. This will mean IT and networking technology will enable `smart' lights, HVAC controls, and even digital signage. So, how are these `things' becoming smarter? Fog-computing opens up a new level of visibility in networking infrastructure and decision-making, by pushing application logic and data analytics to the network edge. IoT applications typically have strict latency requirements; the devices, are often geographically distributed, connected through low bandwidth uplinks and moving large data to and from cloud impacts it adversely. Hence, the need for intelligent processing is at the edge.
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