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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

IT 888
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Data Governance Without Security Leaves Sensitive Data Exposed

Dataversity

“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements.

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Top considerations for data modernization initiatives

CIO

Most organizations are already well under way with their digital transformation journeys, particularly data modernization. For most companies, the drive for data modernization is attributed to the massive growth of data and a business goal to harness as much data as possible to unlock its potential in transformative ways.

Security 547
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Mainframe modernization and the importance of security

CIO

At a time when businesses are pushing the limits of digital transformation and modernization, security, particularly in the mainframe, is critical. And when asked to rank their most important mainframe security features, respondents said vulnerability scanning was the least important.

Security 455
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Enabling a data-driven IT modernization strategy

CIO

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

IT 563
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Google Report Shows Android Users Need VPNs for Data Privacy

Smart Data Collective

Consumers are becoming more concerned about data privacy than ever. Last September, the Government Accountability Office highlighted some of the issues about data privacy. If you have an Android device, you will need to be diligent about protecting against data privacy risks. What does this mean for consumers?

Security 243
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Challenges Data Analytics Can Solve in the Call Center Industry

Smart Data Collective

Many industries are benefiting from changes in data analytics. However, data analytics isn’t guaranteed to solve all call center challenges without the right strategy in place. Data analytics technology can help solve many of these challenges, but it needs to be properly utilized. Brands such as Aircall.io