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5 top focus areas for CIOs as edge computing gains momentum – Wire19

Edge computing brings computation and data storage closer to the sources of data. The key factors driving the demand for edge computing are low latency requirements, processing of high data volume accompanied by insufficient bandwidth, cost, and data sovereignty and compliance. As huge amounts of data are being created outside the traditional data center, the cloud will extend to the edge. It will be cloud with edge. 

Furthermore, latest technologies are causing the shift of data’s center of gravity to the edge: 

  • Artificial intelligence (AI) has become cost-effective and practical. 
  • The number of connected devices is increasing.  
  • Wireless operators are upgrading their networks to 5G.  

According to a report by Seagate, IDC forecasts that by 2025, 44% of data created in the core and edge will be driven by analytics, AI, and deep learning. Data is shifting to both the core and the edge and by 2025, nearly 80% of the world’s data will be stored in the core and edge, predicts IDC. 

Edge computing – 5 focus areas for CIOs 

  1. Understand your data 

As enterprises collect tons of data, IT leaders struggle to make sense of it. Business leaders must first define why they want to collect data and what insights they want to gain. It is easy to collect the data but, collecting intelligence is hard. To smartly collect and sort through data, enterprises need to overcome the challenges like overlapping of tools, data complexity, data integration, ensuring that data is “clean”, ensuring proper data correlation, etc. The collected data must enable the business objective.  

2. Manage stored data 

The amount of data stored at the edge is increasing faster than the data stored in the core. By 2022, organizations will periodically transfer about 57% of data from the edge to the core. Hence, there is a need for data management plans for the significant movement of data from endpoints, through the edge, to the public, private, or industry clouds. Data sprawl will lead to siloed data, which cannot be accessed by all who need it. Therefore, enterprises need to implement automated methods to manage data sprawl. Business leaders can achieve successful data management through smart data storage solutions.  

3. Put data to use 

To be successful, CIOs must treat their data in such a way that it can directly translate into business growth. They need to invest in collecting, analyzing, and storing data in various repositories. They will be able to derive more value from it if they properly leverage their investment by putting that data to use. 

“Every business is a data business. But enterprise data is of little value if it is not used. To efficiently and smartly make sense of data, we need to see data lakes as reservoirs where many vibrant rivers meet; the task is to comingle the incoming data currents. There is a need to share data with other lakes, in order to cross-reference and run analytics on disparate streams of data. The more pieces you put together, the bigger a puzzle you can solve. You can tackle a much higher-order problem if you share data, cross-referencing various streams of information for analysis. That’s why enabling the movement of data matters. Data needs to move in order to allow for the interconnectedness of data—and the insights that result”, says Ravi Naik, Senior VP and CIO of Seagate Technology. 

4. Implement DataOps 

According to IDC, DataOps is the discipline connecting data creators with data consumers and must be a part of every successful data management strategy. It facilitates a holistic view of data and enables users to access and get optimal value from it. DataOps makes use of technology, in particular AI and ML, to assist in correlating data from core, cloud, and edge data sources. Majority of the business leaders believe that DataOps is “very” or “extremely” important for enterprises. As per the Seagate report, DataOps is considered as most important in North America and China. 

5. Ensure data security 

Data security is always the highest concern and priority for IT leaders and business leaders. Data breaches cause direct financial losses, significant regulatory fines, reputational loss and embarrassment, customer loss, and more. Malware attacks can lead to the theft of corporate secrets, lost employee productivity, and unrecoverable data. To ensure data security, business leaders can encrypt data and educate users about data security. 

Read next: IoT Analytics reveals top areas of discussion for CEOs in Q3 2022

This UrIoTNews article is syndicated fromGoogle News

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