Artificial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
Most coders searching for a new job depend on the same basic mix of qualifications: a college degree, certification in one or more programming areas, and real-world experience working in software development. Yet while all of these attributes are important, there are numerous other factors, major and minor, that can help job-seekers set themselves apart from the competition and land a coveted position with an exceptional organization.
Enterprise storage is rapidly migrating toward software-defined storage, a technology that's expected to overtake conventional storage deployed on x86 boxes within the next few years. SDS is widely viewed as a steppingstone leading to container-native storage.
As managers strive to maintain essential network services, it's become all too easy—especially for small and medium-sized organizations—to get caught up in the hype and waste money on bandwidth they really don't need. "
Getting a derailed IT department back on track requires persistence and a success-focused action plan. The following seven steps will help you get started.
nternet of Things (IoT) networks are popping up just about everywhere, allowing business, industrial and home users to control and/or monitor a wide range of smart devices. As with any network technology, speed and responsiveness are essential for accurate and reliable IoT device operation. While reaching these goals can be elusive, the following five tips should help you establish an IoT network that always operates at or near peak performance.
Enterprise networks are expected to support a variety of activities, ranging from email to teleconferencing to supporting various business services. A well-managed network minimizes downtime and ensures that everything works like clockwork.
Laziness, inattention and poor management practices make containerized applications vulnerable to invasion and attack. Fortunately, establishing strong safeguards is fast and easy.
gaining visibility without appearing overly self-promotional is an art in and of itself. There's a fine line between gaining acclaim for one's genuine talents and insights and getting noticed for simply wishing to be noticed. The former can lead to new and potentially priceless career opportunities while the latter tends to create an obnoxious public persona that actually drives people away.
Microsoft’s Windows 10 platform helps organizations of all sizes manage the evolving nature of work — where and how it gets done and on which devices — by giving them more benefits via mobility, cloud tools and security. Windows 10 also helps organizations secure collaborative work environments.
Serverless computing isn't really serverless. The approach aims to free enterprises from the care and feeding of on-site servers, transferring the responsibility to a cloud provider that will run the server and dynamically manage the allocation of machine resources.
When it comes to enterprise wireless technologies, the secret to fast, reliable performance lies in the numbers. By studying a handful of key metrics, it's relatively easy to determine whether on-site wireless technologies and service providers are living up to their promised performance levels.
Building an IT team that isn't afraid to think creatively and is eager to push business operations into promising new areas is an objective that should top every IT leader's agenda.
In today's data-driven world, high performance computing (HPC) is emerging as the go-to platform for enterprises looking to gain deep insights into areas as diverse as genomics, computational chemistry, financial risk modeling and seismic imaging. Initially embraced by research scientists who needed to perform complex mathematical calculations, HPC is now gaining the attention of a wider number of enterprises spanning an array of fields.
AI software is everywhere, yet only a handful of offerings target specific demands. How can enterprises customize generic AI tools to meet their unique needs?
Research leads to innovation in multiples forms of mobile technology.
Every IT leader wants to head a team renowned for its talent, productivity and imagination, but few actually have what it takes to elevate their staffs to an exceptional plateau.
Two disruptive technologies, artificial intelligence (AI) and edge computing, are joining together to help make yet another disruptive technology, the Internet of Things (IoT), more powerful and versatile.
While a growing number of organizations are turning to containers for their storage needs, many adopters are still unsure exactly how the technology works and what it can ultimately achieve. Such widespread unfamiliarity and inexperience has led to a number of potentially destructive and expensive misconceptions about container storage capabilities and functions.
Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. The science of predictive analytics can generate future insights with a significant degree of precision. With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future.
Backup is an essential technology. But what if backups could be used for more purposes other than just insurance against data failure? A growing number of organizations are beginning to realize that backups have value beyond backup, and can put them to effective use in a variety of other ways.
Leading a dispersed IT team to long-term success requires dedication and special leadership skills, including the ability to organize, motivate and inspire members to work as creatively and adeptly as if they were based on site. Here are seven secrets top IT leaders use to get their remote workers to excel and succeed.
Predicting the future is getting easier. While it's still not possible to accurately forecast tomorrow's winning lottery number, the ability to anticipate various types of damaging network issues — and nip them in the bud — is now available to any network manager.
As enterprises pile more cloud activities onto the platforms of more cloud providers, many IT and network managers are feeling overwhelmed because each cloud provider comes with its own toolset, rules and user demands. In a multicloud environment, this convoluted mixture quickly leads enterprises into a pit of complexity, confusion and cost.
Recent trends around NVMe include the introduction of NVMe-oF, an emerging technology that's extending NVMe's performance and economies across the data center, and the increasing use of NVMe for specialized, storage-demanding applications, such as AI. Looking at the future of NVMe storage, both of those trends will play a significant role.
Knowing exactly when to pull the plug on an existing IT resource requires both insight and awareness, as well as a willingness to embrace new technologies and practices. To get started, here's a look at the 10 telltale signs that it may be time to consider an IT system change.
When data goes missing, and its backup is either absent or defective, a genuine crisis has arrived. Successfully resolving the situation and preventing a complete catastrophe requires careful thought, analysis and patience.
By containerizing storage services under a single management plane, such as the Kubernetes open source container orchestration system, administrators can save time and concentrate on more important tasks. Containerized storage also enables organizations to run their applications and storage platform on the same server infrastructure, reducing infrastructure costs.
Firewalls are a main line of defense against all types of network invaders, yet even after years of research and experience, many organizations still make configuration mistakes that leave their networks vulnerable to data theft, sabotage, and other types of mayhem. Here's a rundown of five unsound firewall practices that should be avoided at all cost.
Here's a look at seven ways leaders inadvertently derail their careers and how you can avoid making the same common mistakes.
The number of multi-cloud use cases aimed at storage is expanding rapidly. Take a look at the following five ways organizations can use a multi-cloud environment to enhance their storage infrastructures.
You've decided that you want to implement disaster recovery as a service, but what are your options? It all depends on your budget, as well as the time you want to allocate to oversight and testing.
Like death, taxes and network downtime, bad contracts are a fact of life for most IT leaders. Deals that once seemed fair and equitable can sour over time for various reasons, such as the availability of a better or lower-cost technology or a vendor's reluctance to live up to contract requirements.
It's hard to remember a time when semiconductor vendors haven't promised a fast, cost-effective and reliable persistent memory technology to anxious data center operators. Now, after many years of waiting and disappointment, technology may have finally caught up with the hype to make persistent memory a practical proposition.
Restoring traction to stalled IT efficiency initiatives requires commitment and vision. "To be more efficient, focus efforts on improving effectiveness and experience," advises Kumar Krishnamurthy, a principal with PricewaterhouseCooper's strategy consulting group.
It's quite a mouthful, but Non-Volatile Memory Express over Fabrics (NVMeoF) is shaping up to become perhaps the most disruptive data center storage technology since the introduction of solid-state drives (SSD), promising to bring new levels of performance and economy to rapidly expanding storage arrays.
Storage class memory, also known as persistent memory, is one of the most exciting storage technologies to appear within the past few years. SCM is slightly slower than traditional dynamic RAM, but it is persistent. This means SCM-stored content is preserved throughout a power cycle, making it a potential breakthrough technology for a wide range of demanding storage applications.
It can be a long, hard climb to the top of the career ladder and, for many new CIOs, CTOs and other IT leaders, the first view from above wasn't exactly what they expected.
AI-powered analytics can drive sales to higher levels by helping organizations anticipate customers' needs and exceed their expectations.
Multi-cloud storage is a great way to cut costs, ensure reliability and boost storage performance. What's not so great is when a simple management error or oversight makes the approach unreliable or unsafe.
Disaster recovery as a service has emerged over the past several years as an increasingly popular method for backing up vital data and applications, as well as for providing immediate system failover to a secondary infrastructure. While the technology is still relatively new, numerous DRaaS benefits continue to draw interest.
AI and machine learning systems have long relied on traditional compute architectures and storage technologies to meet their performance needs. But that won't be the case for much longer. Today's AI and machine learning systems -- using GPUs, field-programmable gate arrays and application-specific integrated circuits -- process data much faster than their predecessors.
Failing to use the right type of NVMe for a particular application -- or deploying the correct technology in the wrong way -- can lead to performance problems and needless additional costs, not to mention a great deal of aggravation.
Most managers already know that a multi-cloud storage approach offers numerous benefits in areas such as flexibility, reliability, security and cost. However, many multi-cloud adopters still aren't taking advantage of all the operational benefits the technology has to offer.
The financial and productivity benefits associated with embracing a multi-cloud environment are well-known. But multi-cloud infrastructures are complex, with many different providers and service terms. When working with multiple clouds, it's easy to waste money without even realizing it.
As predictive analytics technologies mature and prove their worth in sales, healthcare and other fields, a growing number of organizations are beginning to realize that the technology can also be used to make disaster recovery (DR) plans more accurate and perceptive. Predictive analytics and AI are powerful disaster recovery planning tools in IT's ongoing evolution.
In the hybrid cloud vs. multi-cloud showdown, which technology is the best choice? The answer, not surprisingly, depends on the organization and its particular needs. Hybrid cloud storage and multi-cloud storage are terms that are often used interchangeably, but there are distinct differences between the two.
As some organizations turn to newer and better storage technologies, others are repurposing legacy storage systems. Benefits to turning to legacy storage systems over more recent developments can vary.
Smart organizations have a carefully designed disaster recovery plan that's ready to launch the moment the unthinkable happens. A typical plan includes strategies for deploying temporary operations, rebuilding the IT infrastructure, restoring data and implementing a long list of other essential actions.
Disaster can strike any data center on any day. Money, time and effort enable physical IT assets to be fully restored--often to states exceeding predisaster levels. The same, however, is not always true for crucial data, which may be lost forever unless it has been properly retrieved from backups and carefully reconstructed.