Technology

How Covid-19 Brought to Focus Risks to Your Data Privacy And Governance

Image by Hebi B. from Pixabay  There is no doubt that the Covid-19 pandemic and the resultant global lockdown have effectively changed the way businesses operate, which to a large extent, has serious impacts on your data privacy and governance. Out of the blues, organizations and their employees must adapt to a new way of working.  The aftermath of the radical change is that a lot of employees have relocated their offices to the home. While this may be a brand-new innovation to some organizations, a few had before the outbreak, been practicing flexible working for some time.  These organizations were more favorably disposed to adapt to the new world and way of working with relative ease. They were armed with sturdy procedures, practices, and had IT infrastructure in place to cushion the effects of working away from the office.  However, a lot of organizations were left in a sort of quandary, the change was rather impromptu, it was too much, albeit too soon, and they were not prepared for the plunge. As a result, they had to contend with data privacy breaches and the ensuing governance concerns.   Cybersecurity has been a burning issue even before the onset of the pandemic, but the…

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Technology

How IoT Data Lifecycle Can Work With AI at The Edge

The era of IoT brought along a big transformation in the enterprise data lifecycle but as if that was not enough, the implementation of  AI on the edge is completely revolutionizing the whole ecosystem in order to make sure it meets real-time analysis needs. It’s very obvious that IT pros will be making grave mistakes if they think they can afford a room for guesswork in IoT infrastructure planning. The fact on the ground these days is that your digital architecture can undergo changes unpredictably within a space of two years because IoT and AI have seriously started playing great roles in the gathering and handling of data. Minimal diversity in the traditional data lifecycle  When we have not started operating in clouds, it was easier for IT pros to execute, understand, and control the data lifecycle, since the enterprise data lifecycle was relatively manageable and essentially static and circular. Then, data was more structured, less diverse, and traversed only a few routes to lesser destinations.  At that point in time, we did not have the need for the mazy steps we have now in the traditional data lifecycle you could easily carry out the following processes on your data…

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