Deploying independent endpoint or network security separately is coming to a rapid – and much-needed -- end. If you want to stay secure longer-term, focus on unifying your security products now.
One class of companies is already equipped to work in a fully distributed employee model. Another going to have a difficult time adapting to most employees having to work from home. Some won’t survive if this lasts more than a few weeks.
AI and behavioral analysis are key to elevating the level of security for devices and back-end systems and are a prerequisite for IoT devices and services. Is your vendor moving in the right direction?
AI and behavioral analysis are key to elevating the level of security for devices and back-end systems and are a prerequisite for IoT devices and services. Is your vendor moving in the right direction?
Companies deploy an average of three to five different cloud services. With an increased emphasis on security and regulatory compliance, the capability to manage these disparate systems is crucial.
Companies deploy an average of three to five different cloud services. With an increased emphasis on security and regulatory compliance, the capability to manage these disparate systems is crucial.
Companies deploy an average of three to five different cloud services. With an increased emphasis on security and regulatory compliance, the capability to manage these disparate systems is crucial.
The key to making edge computing as a service practical is the capability for network operators to deploy a fast, low-latency connection – that is, they need 5G.
IBM hopes to reduce the complexity of moving workloads to the cloud through Cloud Paks,’ its series of specialized packaged offerings that enterprise can implement relatively quickly. But is it enough?
IBM hopes to reduce the complexity of moving workloads to the cloud through Cloud Paks,’ its series of specialized packaged offerings that enterprise can implement relatively quickly. But is it enough?
Like client/server and cloud before it, edge computing will be a critical component in any enterprise IT strategy. Here why you need an edge strategy to be competitive.
Like client/server and cloud before it, edge computing will be a critical component in any enterprise IT strategy. Here why you need an edge strategy to be competitive.
Maybe not today and maybe not tomorrow, but eventually everyone will be on 5G. However, before rushing to implement it in your business be sure to know what the available benefits are and which types of users will notice a real improvement in their mobile experience.
Everyone seems focused on whether major device makers can ship 5G-ready phones. And indeed they are coming forward with devices (e.g., Samsung, Huawei) based on chip designs from major manufacturers (e.g., Qualcomm, Huawei, Intel).But while many are focused on the device challenges (such as will Apple’s iPhones use Qualcomm or Intel modems, or design their own?) and the potentially billions of connected “things” expected in the next few years, the devices are just the tip of the iceberg when it comes to 5G. The real “below the water line” challenges, the more than 80% of the challenges in making 5G real, are in updating and creating networks that can truly provide all of the variety of services and capabilities that we expect.To read this article in full, please click here
Over the next two to three years, we will see an explosion of new complex processors that not only do the general-purpose computing we commonly see today (scalar and vector/graphics processing), but also do a significant amount of matrix and spatial data analysis (e.g., augmented reality/virtual reality, visual response systems, artificial intelligence/machine learning, specialized signal processing, communications, autonomous sensors, etc.).In the past, we expected all newer-generation chips to add features/functions as they were being designed. But that approach is becoming problematic. As we scale Moore’s Law closer to the edge of physical possibility (from 10nm to 7, then 5), it becomes increasingly lengthy and costly to perfect the new processes. What was generally about 12 months between processing improvement steps now is closer to two years, and newer process factories can cost upwards of $10 billion or more.To read this article in full, please click here
Over the next two to three years, we will see an explosion of new complex processors that not only do the general-purpose computing we commonly see today (scalar and vector/graphics processing), but also do a significant amount of matrix and spatial data analysis (e.g., augmented reality/virtual reality, visual response systems, artificial intelligence/machine learning, specialized signal processing, communications, autonomous sensors, etc.).In the past, we expected all newer-generation chips to add features/functions as they were being designed. But that approach is becoming problematic. As we scale Moore’s Law closer to the edge of physical possibility (from 10nm to 7, then 5), it becomes increasingly lengthy and costly to perfect the new processes. What was generally about 12 months between processing improvement steps now is closer to two years, and newer process factories can cost upwards of $10 billion or more.To read this article in full, please click here
The Internet of Things (IoT) has captured much attention recently as more devices like wearables, AR/VR headsets and sensor-based products make their way to market. But off-the-shelf consumer-oriented devices are not always what enterprises need. Rather, most companies need a more specialized approach than just deploying things all over the place.As a result, the more specialized Enterprise of Things (EoT) is becoming a significant part of nearly all companies' plans for the next three to five years. Indeed, we expect EoT to become a top 3 item on most organizations' strategic initiatives in the coming two to three years. EoT will partner with ongoing enterprise cloud and security initiatives as organizations look to transform how they do business and run more efficient and user-responsive operations. But research shows that for many companies currently deploying or planning deployments of EoT, it’s a waste of money.To read this article in full, please click here
Jack Gold