Supply chain woes continue to plague organisations around the world. For Lenovo, leveraging data is proving to be an effective way to address the challenges.
SD-WANs can help enterprises to manage increasingly complex and diverse network infrastructures at a lower cost, but there are pitfalls to avoid.
With organisations using as many as 100 security tools, getting them to work well together is an ongoing battle. These are the most common pitfalls of security tool integration.
Mixing public cloud services with on-premises clouds is fast becoming an architecture of choice for many enterprises, which all too often fall into these common traps.
Hybrid cloud environments can add complexity, reduce visibility, and require different logging and monitoring approaches for security teams.
Edge computing has many upsides including better near-real-time response and analytics for IoT, but it’s far from plug and play.
Salesforce systems hold a lot of sensitive customer data. Businesses must not fall victim to one of these common sins, errors, and blindspots.
A brief guide to the network, infrastructure, data and app security capabilities AWS, Microsoft Azure and Google Cloud provide to prevent cyber attacks.
The line between CIO and CTO roles is increasingly blurring. Here’s how to these roles traditional differentiate and how they are converging.
Indirect costs related to a ransomware attack can add up over time. These are the expenses and financial risks that CISOs should be aware of.
The CTO has emerged as a key player in the C-suite, as digital transformations become high strategic priorities for so many organisations.
Putting a framework of IT policies that should be the foundation of every company's security plan.
G&J Pepsi and Zipline turn to data science and machine learning to get the right products to the right locations at the right time.
Employers talk about how IoT is enabling contact tracing, monitoring air quality, and enforcing social distancing rules as workers go back to the office.
How customers are using AI and machine learning to improve sales, identify and protect sensitive information, and automate oil drilling operations.
