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Showing 1 - 4 of 4 white papers, page 1 of 1.
How Data Temperature Drives Data Placement Decisions and What to Do About It
In this white paper, learn (1) how the relative proportion of hot, warm, and cooler data changes over time, (2) new machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life, and (3) the role of artificial intelligence (AI) in migrating data to the most cost-effective tier.

The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis.
In this white paper, explore:

•    How the relative proportion of hot, warm, and cooler data changes over time
•    New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life
•    The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.

Why Should Enterprises Move to a True Composable Infrastructure Solution?
IT Infrastructure needs are constantly fluctuating in a world where powerful emerging software applications such as artificial intelligence can create, transform, and remodel markets in a few months or even weeks. While the public cloud is a flexible solution, it doesn’t solve every data center need—especially when businesses need to physically control their data on premises. Download this report to see how composable infrastructure helps you deploy faster, effectively utilize existing hardwar

IT Infrastructure needs are constantly fluctuating in a world where powerful emerging software applications such as artificial intelligence can create, transform, and remodel markets in a few months or even weeks. While the public cloud is a flexible solution, it doesn’t solve every data center need—especially when businesses need to physically control their data on premises. This leads to overspend— purchasing servers and equipment to meet peak demand at all times. The result? Expensive equipment sitting idle during non-peak times.

For years, companies have wrestled with overspend and underutilization of equipment, but now businesses can reduce cap-ex and rein in operational expenditures for underused hardware with software-defined composable infrastructure. With a true composable infrastructure solution, businesses realize optimal performance of IT resources while improving business agility. In addition, composable infrastructure allows organizations to take better advantage of the most data-intensive applications on existing hardware while preparing for future, disaggregated growth.

Download this report to see how composable infrastructure helps you deploy faster, effectively utilize existing hardware, rein in capital expenses, and more.

Exploring AIOps: Cluster Analysis for Events
AIOps, i.e., artificial intelligence for IT operations, has become the latest strategy du jour in the IT operations management space to help address and better manage the growing complexity and extreme scale of modern IT environments. AIOps enables some unique and new capabilities on this front, though it is quite a bit more complicated than the panacea that it is made out to be. However, the underlying AI and machine learning (ML) concepts do help complement, supplement and, in particular cases
AIOps, i.e., artificial intelligence for IT operations, has become the latest strategy du jour in the IT operations management space to help address and better manage the growing complexity and extreme scale of modern IT environments. AIOps enables some unique and new capabilities on this front, though it is quite a bit more complicated than the panacea that it is made out to be. However, the underlying AI and machine learning (ML) concepts do help complement, supplement and, in particular cases, even supplant more traditional approaches to handling typical IT Ops scenarios at scale.

An AIOps platform has to ingest and deal with multiple types of data to develop a comprehensive understanding of the state of the managed domain(s) and to better discern the push and pull of diverse trends in the environment, both overt and subtle, that may destabilize critical business outcomes. In this white paper, we will take a look at an AIOps approach to handling one of the fundamental data types: events.
Unlocking Digital Transformation with Adaptive Workspace Management
Digital transformation can be stalled for organizations that do not start this process of re-architecting their workspace provisioning approaches. In this whitepaper, Liquidware presents a roadmap for delivering modern workspaces for organizations which are undergoing digital transformation. Liquidware’s Adaptive Workspace Management (AWM) suite of products can support the build-out of an agile, state-of-the-art workspace infrastructure that quickly delivers the resources workers need, on demand

The driving force for organizations today is digital transformation, propelled by a need for greater innovation and agility across enterprises. The digital life-blood for this transformation remains computers, although their form-factor has changed dramatically over the past decade.  Smart devices, including phones, tablets and wearables, have joined PCs and laptops in the daily toolsets used by workers to do their jobs.  The data that organizations rely on increasingly comes from direct sources via smart cards, monitors, implants and embedded processors. IoT, machine learning and artificial intelligence will shape the software that workers use to do their jobs. As these “smart” applications change and take on scope, they will increasingly be deployed on cloud infrastructures, bringing computing to the edge and enabling swift and efficient processing with real-time data.

Yet digital transformation for many organizations can remain blocked if they do not start changing how their workspaces are provisioned. Many still rely on outmoded approaches for delivering the technology needed by their workers to make them productive in a highly digital workplace.

In this paper, Liquidware presents a roadmap for providing modern workspaces for organizations that are undergoing digital transformation. We offer insights into how our Adaptive Workspace Management (AWM) suite of products can support the build-out of an agile,  state-of-the-artworkspace infrastructure that quickly delivers the resources workers need, on demand. AWM allows this  infrastructure  to be constructed from a hybrid mix of the best-of-breed workspace delivery platforms spanning physical, virtual and cloud offerings.