Kaynaklar

The Business Value of IBM Cloud Object Storage

Technology enables business and digital transformation (DX) and 3rd Platform technologies (social, mobile, Big Data, and cloud) that are changing IT infrastructure requirements at a rapid pace. Adoption of innovation accelerators such as Internet of Things (IoT), artifcial intelligence (AI) and analytics, augmented reality and virtual reality (AR/VR), and robotics is also fueling data growth...

Why Your Current IT infrastructure Won't Work for AI

The concept of deep learning, the process of using layers of algorithms to process data, was first introduced in the 1940s, but recent advances in hardware technology and software frameworks have enabled a revolution in deep learning and artificial intelligence...

Scaling AI Requires Hardware and Software That Work Well Together

It is increasingly clear that artificial intelligence (AI) requires unique hardware and software combinations that are co-optimized in order to provide data scientists with the best solutionpossible for developing high-quality AI models fast, while IT is assured of the soundness of the hardware-software package...

Enterprise Application Access

Secure access to the right application, for the right user, at the right time has become difficult and complex because of the widely distributed nature of users and applications. The definition of a user has evolved to be much more than an employee; this can be a supplier, partner, customer, developer, or an employee of a newly acquired company. Applications now have wider definitions that include multiple types (legacy, web, or SaaS) and locations (data center, Internet, and public cloud)...

New Technology: The Projected Total Economic Impact™ Of IBM Cloud Pak For Data

Forrester predicts that, for artificial intelligence (AI), 2020 will be a year of less experimentation and more implementation, and as a result the companies that focus on the right strategy, skills, governance, data, and tools will get ahead of those that don’t think holistically about applying AI across the enterprise...

The Total Economic Impact Of IBM® Power Systems™ For SAP HANA®

Organizations are deploying SAP HANA to get faster insights from their data. As more applications migrate to the platform, the demands on SAP HANA environments will continue to change. Therefore, it is critical to choose a server infrastructure that can easily adapt to these changes while providing the scalability and reliability required by SAP applications...

Simplify and accelerate SAP HANA deployments

Who Can Benefit from SAP HANA Database and S/4HANA on IBM Power Systems?

The road to SAP HANA and SAP S/4HANA is paved with uncertainties, no matter how well intentioned SAP SE has been with its renewed focus on customer needs and benefits. From an infrastructure perspective, the demands that the in-memory database and the integration of transactions and analytics impose on the underlying hardware are significant...

Driving Business Outcomes with IBM Power Systems for SAP HANA

Many leaders are already addressing the 2025 deadline to migrate to SAP HANA, and they’re asking tough questions: How can I simplify the transition to SAP HANA? What is the right infrastructure to provide superior virtualization and management flexibility? How can I ensure scalability? What is the best choice for faster speed to market to address ever-changing business requirements?

AI Deep Learning with IBM Spectrum Discover, Spectrum Scale and Cloud Object Storage

Two main advances have brought artificial intelligence (AI), machine learning (ML) and most recently, deep learning (DL) out of the labs and into the enterprise spotlight: GPUs and large data collections. The data amassed by large companies in general and hyper-scalers in particular is growing by petabytes (PB) to exabytes (EB) a year. Combining this ever-increasing mass of data with GPU computational resources (thousands of GPU cores/card) is ideal for supplying DL functionality...

Storage for AI - The Fast Track From Ingest to Insights

Organizations today agree that artificial intelligence (AI) is the fast track to innovation and productivity. Most organizations are already on their way to testing, adopting, implementing, and realizing the full potential of AI solutions is expected to increase significantly over the next several years...

Making data smart with IBM Cloud Pak for Data and IBM Spectrum Discover

High quality and larger volumes of data are what make artificial intelligence (AI)-driven applications smarter. It has been reported that 81% of business leaders do not understand the data and infrastructure required for AI. Now, IBM Storage is integrating file and object data to IBM AI solutions to make data smarter...

Unlock the value of Splunk® SmartStore with IBM Cloud Object Storage

Today’s Splunk deployments are being stretched as the storage demand is outpacing the compute demand, rendering the traditional deployment model unsustainable for large data volumes. To address this challenge of large-scale data management while maintaining performance and improving cost, Splunk introduced the new SmartStore feature as part of its core Splunk Enterprise product...

Overcome Obstacles To Get To AI At Scale

In a time when AI is considered the engine that will power the next age of human progress, failure to participate is no longer a viable business option. Companies that wish to digitally transform must understand that embracing the status quo will leave them struggling to keep up with competitors that recognized the opportunity before them...

Accelerate Your AI Journey with a Hyper-converged Data and Analytics Platform

By 2024, with proactive, hyperspeed operational changes and market reactions, artificial intelligence (AI)-powered enterprises will respond to customers, competitors, regulators, and partners 50% faster than their peers. These digital transformation (DX) initiatives will be supported by AI capabilities, providing timely critical insights, richer and immersive user experiences, and improved business outcomes...

IDC Paper AIX OS The importance of the OS when modernizing on Hyrbid Cloud

In today's data streams of varying value flow from and to purpose-built platforms. These platforms are optimized for distinct workloads, both on-premises and in the cloud. High-value data requires a high-end platform with a mature operating system, such as IBM AIX.

Forrester Study The Key to Enterprise Hybrid Multicloud Strategy

As enterprise IT readily embraces public cloud technologies, on-premises and private cloud usage continues to grow. On-premises is not going away as a critical part of IT infrastructure strategy; instead, organizations are meshing together various types of IT infrastructure to meet their needs. Organizations that can bring together on-premises with public cloud strategically will be best positioned for operational excellence...

Forrester Hybrid Cloud Security Spotlight

Modern IT organizations that take a holistic view of their IT infrastructure — including on-premises and cloud models — will be best positioned to combat security vulnerabilities. Today, organizations face more uncertainty than ever before. As cyberthreats increase in number and complexity, the need for secure digital availability is paramount. In turn, organizations struggle with adapting their infrastructure strategies to best support their clients and increasingly complex workloads, without sacrificing security...

Field Guide to Application Modernization on IBM Power Systems

Rapid changes in the world over the last two years (including COVID-19) are impacting IT in a very profound way. IT strategies are shifting to serve an increasingly always-on world, and for many organizations this has meant accelerating digital transformation efforts. Managing and modernizing critical processes and operations remain top priorities for IT leaders like you who want to fnd new ways to gain advantage and opportunity in a fluctuating environment. The question for your business, then, is how do you know when it’s time to modernize an application?

IBM IT Infrastructure Seven Steps Secure IT

Here’s a little exercise. Walk to your whiteboard and map out your hybrid cloud architecture. As you draw the complexity of multiple public cloud providers, private cloud and on-premises infrastructure, where are your security vulnerabilities? Does everyone share your conviction that a secure IT infrastructure is essential for business success?

IBM Power Systems Dynamic Capacity Solution

As consumer demand for an on-demand economy grows, businesses are faced with a challenge in how they support a new and ever-changing set of requirements. Cloud has reset expectations as businesses look for the best way to leverage the benefits of cloud-based infrastructure to deliver better business results and customer experiences...

Automate this, not that.

While automation opportunities are everywhere, new operational challenges like fluctuating customer demand expose efficiency and business continuity gaps that need to be addressed quickly. Given the times, it pays to be picky. Here are some quick-win areas to help you get started.

IBM Power Systems Dynamic Capacity Solution Guide

The Future Of Work Is Now: Build Resiliency And Adaptability With Automation And AI

The current wave of digital transformation relies on workflow and task automation and mostly leaves existing processes intact. How work is done, and who is doing the work, remains largely unchanged. With intelligent automation (IA), things will be different...

IBM Spectrum Fusion HCI

IBM Spectrum Fusion is a hyperconverged configuration of the Red Hat OpenShift container platform (OCP). This is a simple turn-key enterprise-grade solution to deploy Red Hat OpenShift and a hybrid cloud data platform. This solution is planned for GA in the 2nd half of 2021...

IBM Spectrum Fusion

Our story begins with agility. The end game is for businesses and organization to quickly adjust to the changing business and outside influences that are causing rapid change. Customers need applications and data to to adjust and shift in response to dynamic market demands. They also need diverse and easy to use tools & data services to build anywhere, at any pace. And finally, they need applications and data to scale dynamically, achieve peak performance, and adhere to security requirements. The end goal: Business agility and faster business insights...

IBM Spectrum Fusion HCI

An SRE journey to AIOps

SRE'lerin karşılaştıkları en önemli zorluklardan biri uygulama ekiplerine yenilikçi özellikleri giderek daha hızlı sunarken farklı sistemlerdeki SRE modellerinin kararlılığını, güvenilirliğini ve kullanılabilirliğini gerçek zamanlı olarak geliştirmek. Bunun için çevrelerindeki verileri çok iyi bir şekilde incelemeleri ve akıllıca kullanmaları gerekiyor. IBM'in hazırladığı "An SRE journey to AIOps" dokümanı AIOps ile akıllı operasyonlar, BT merkezli operasyonlar, karşılaşılabilecek zorluklar ve daha fazlası hakkında genel bir bakış ve rehberlik sunuyor.

“An SRE journey to AIOps” başlıklı dokümanı buradan indirebilir veya ComPro ile iletişime geçerek daha ayrıntılı bilgi alabilirsiniz.

IBM, Turbonomic satın almasıyla yapay zeka destekli otomasyon çözümlerini genişletti

The combination of Instana and Turbonomic provides higher levels of observability and trusted actions to continuously optimize and assure application performance.

AIOPs Use Case Demo

IBM Cloud Pak® for Watson AIOps leverages AI to analyze data across environments and surface issues, with suggested resolutions in ChatOps to save you time, money and identify areas where automation can improve your operations.

Accelerating AI Modernization with Data Infrastructure

Artificial intelligence (AI), Machine Learning (ML) and often Deep Learning (DL) capabilities are now essential components of digital transformation initiatives. The business opportunities that can be achieved with AI are exceptionally promising. Enterprise organizations are increasingly aware that not acting on AI could potentially be a business disaster as competitors gain a wealth of previously unavailable insights and capabilities to grow and delight their customer base. Few if any businesses today believe that "AI is not for us" or that "AI is mostly hype". Rather, serious AI initiatives are being undertaken worldwide, across industries, and across company sizes.

Modernize your IA

Artificial intelligence (AI) is a journey that begins with data. Thus, AI cannot exist without an information architecture (IA). Being able to gain business value and insights from data is not always easy. Legacy infrastructure is inadequate for AI workloads and data silos make it difficult to get a holistic view of all your information, limiting the value of AI.

Designing End to End AI Data Pipeline with SSAI

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are poised to transform how people and enterprises work and learn. These tools can collect data from edge to core to cloud, analyze the data in near real time, extrapolate from previous results, and infer actions to affect outcomes. This can be applied practically anywhere, such as industrial processes, experiential engagement, healthcare, sales, and real-time decision making.

IBM Power E1080
Engineered for agility

The core applications, data stores and processes that run your business simply cannot go down, no matter what. With accelerated digital adoption, the demands on these applications are increasing, along with security risks. Your IT needs to be modernized to meet the challenges of today while staying ahead of your needs.

The Sweet Spot of Modern Enterprise Computing

Today’s IT landscape can appear as a conundrum. In the drive toward becoming a digital enterprise and satisfying the needs of hyper-demanding customers, businesses find themselves attempting to achieve the near impossible.

Leverage Automated APM to Accelerate CI/CD and Boost Application Performance

Continuous integration and continuous delivery (CI/CD) has become the goal for
a majority of organizations. Meanwhile, modern technologies such as Docker and Kubernetes have grown widespread intro- duction application environments. The result of these trends is that applications and their infrastructure are becoming increasingly dynamic, constantly changing to meet higher scalability requirements and fast-evolving application functionality.

Microservice Observability

Microservices have had a big impact on how applications are designed, developed, delivered and managed. Thanks to
the microservice architecture model, applications can be developed and updated at a much higher velocity. Applications— and organizations—are more nimble, more scalable, more robust and more resilient against disruptions.

Microservices can be updated quickly and easily. They enable fully continuous delivery and allow DevOps teams to make the most of their skills and resources. But while microservices break through many hurdles associated with traditional software delivery, they also create new types of challenges.

TEI Forrester for Watson and Instana

As companies continue to make substantial investments in cloud and on-premises applications, their need to ensure performance of those investments grows. IBM Cloud Pak for Watson AIOps with Instana provides users with the ability to reduce the number of application alerts they experience, retire legacy software solutions, limit unplanned downtime, and mitigate the effects of bugs on their application development workflows

AI acceleration and data orchestration for object storage

As adoption of AI becomes mainstream in organizations, storage infrastructure to support the large amounts of datasets fueling AI models become critical. IBM Storage for Data and AI has recently introduced a new capability for AI acceleration and automated access to object storage data from a high performance file system.

IBM Spectrum Scale

Enterprises and organizations are creating, analyzing and keeping more data than ever before. Those that can deliver insights faster while managing rapid infrastructure growth are the leaders in their industry. To deliver those insights, an organization’s underlying storage must support both newera, big-data applications and traditional applications with high performance, reliability and security

IBM Spectrum Scale provides optimized big data storage on premises or in the cloud

IBM Spectrum Scale provides storage on premises or in the cloud to help you realize the value of your big data with rapid availability, reliability, integrity and security. Deliver business insights with efficiency and position your business for future growth.

Maximizing Business Continuity with VMware in the Cloud

Improving IT resiliency and maintaining business continuity are more important than ever for any enterprise in the digital era. The flexibility and agility of cloud makes it an optimal solution to maintain business continuity. The cloud can mitigate risks of downtime ensuring continuous business operations. In fact, most IT decisionmakers are looking at the cloud as a solution to improve uptime, performance and availability of applications, data and workloads.

The Total Economic Impact™ Of IBM Cloud For VMware Solutions

IBM Cloud for VMware Solutions enables organizations to transition workloads into a hybrid cloud environment, providing increased performance and scalability on modern hardware with less effort and cost compared to legacy solutions.Flexible, consumption-based pricing enables organizations to easily scale up and down as business needs evolve.