The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
Published By: IBM APAC
Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance.
Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
Published By: IBM APAC
Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next.
Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing.
With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected.
- Simplified Multicloud
- Built-in end-to-end security
- Proven Reliability
- Industry-leading value and performance
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
SAP has reviewed and qualified Vormetric’s Transparent Encryption as suitable for use in SAP HANA solution environments. Vormetric provides a proven approach to securing SAP data that meets rigorous security, data governance and compliance requirements. Vormetric Data Security can be quickly deployed to secure data while requiring no change to SAP, the underlying database or hardware infrastructure. This approach enables enterprises to meet data governance requirements with a rigorous separation of duties.
Whether you are securing an existing SAP deployment or upgrading, to a new version, Vormetric delivers a proven approach to quickly secure SAP data while ensuring SAP continues to operate at optimal performance.
Managing technology refreshes is not a popular task among enterprise storage administrators, although it is a necessary task for successful businesses. As a business evolves, managing more data and adding new applications in the process, enterprise storage infrastructure inevitably needs to grow in performance and capacity. Enterprise storage solutions have traditionally imposed limitations in terms of their ability to easily accommodate technology refreshes that keep infrastructure current and operating reliably and most cost effectively. In 2015, Pure Storage introduced a new technology refresh model that has driven strong change in the enterprise storage industry by addressing the major pain points of legacy models and provided overall a much more cost-effective life-cycle management approach. In conjunction with other aspects of Pure Storage's enterprise storage product and services offerings, the company's "Evergreen Storage" technology refresh model has contributed to this all-f
A must-read for IT professionals that provides a comprehensive analysis of the API management marketplace and evaluates 22 vendors across 15 essential criteria.
APIs are the de-facto standard for building and connecting modern applications. But securely delivering, managing and analyzing APIs, data and services, both inside and outside an organization, is complex. And it’s getting even more challenging as enterprise IT environments grow dependent on combinations of public, private and hybrid cloud infrastructures.
Choosing the right APIs can be critical to a platform’s success. Likewise, full lifecycle API management can be a key ingredient in running a successful API-based program. Tools like Gartner’s Magic Quadrant for Full Life Cycle API Management help enterprises evaluate these platforms so they can find the right one to fit their strategy and planning.
Apigee is pleased to offer you a complimentary copy of the Gartner report. Access in-depth evaluations of API managemen
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
Companies today increasingly look for ways to house multiple disparate forms forms of data under the same roof, maintaining original integrity and attributes. Enter the Hadoop-based data lake. While a traditional on-premise data lake might address the immediate needs for scalability and flexibility, research suggests that it may fall short in supporting key aspects of the user experience. This Knowledge Brief investigates the impact of a data lake maintained in a cloud or hybrid infrastructure.
Not just some data—all of it. Internal, external,
structured, unstructured, historical, real-time. And what
if you could do it without a huge infrastructure project?
You can. Take a closer look at how three companies
capitalized on more data—almost instantly—with
IBM® BigInsights® on Cloud.
Effectively using and managing information
has become critical to driving growth in areas
such as pursuing new business opportunities,
attracting and retaining customers, and
streamlining operations. In the era of big data,
you must accommodate a rapidly increasing
volume, variety and velocity of data while
extracting actionable business insight from that
data, faster than ever before.
These needs create a daunting array of
workload challenges and place tremendous
demands on your underlying IT infrastructure
and database systems. In many cases, these
systems are no longer up to the task—so it’s
time to make a decision. Do you use more staff
to keep up with the fixes, patches, add-ons and
continual tuning required to make your existing
systems meet performance goals, or move to a
new database solution so you can assign your
staff to new, innovative projects that move your
Companies today increasingly look for ways to house multiple disparate forms of data under the same roof, maintaining original integrity and attributes. Enter the Hadoop-based data lake. While a traditional on-premise data lake might address the immediate needs for scalability and flexibility, research suggests that it may fall short in supporting key aspects of the user experience. This Knowledge Brief investigate the impact of a data lake maintained in a cloud or hybrid infrastucture.
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Oracle Private Cloud Appliance is a converged infrastructure system designed for rapid and simple deployment of private cloud at an industry-leading price point. Whether customers are running Linux, Microsoft Windows or Oracle Solaris applications, Oracle Private Cloud Appliance supports consolidation for a wide range of mixed workloads in medium-to-large sized data centers.
High-performance, low-latency Oracle Fabric Interconnect and Oracle SDN allow automated configuration of the server and storage networks. The embedded controller software automates the installation, configuration, and management of all infrastructure components at the push of a button. Customers need to enter only basic configuration parameters and create virtual machines (VMs) manually or by using Oracle VM Templates to get a full application up and running in a few hours. With Oracle Enterprise Manager, the Oracle Private Cloud Appliance is transformed into a powerful private cloud infrastructure that integrates
For more than a decade, Oracle has developed and enhanced its ZFS Storage Appliance, giving its users a formidable unified and enterprise-grade storage offering. The latest release, ZS7-2, boasts upgraded hardware and software and is a timely reminder that more users might do well to evaluate this offering. It has a trifecta of advantages:
(1) It’s notable performance, price-performance, and flexibility are all improved in this new release
(2) There is a surprisingly inclusive set of functionalities, including excellent storage analytics that were developed even before analytics became a contemporary “must-have”
(3) There’s a compelling group of “better together” elements that make ZFS Storage Appliance a particularly attractive choice for both Oracle Database environments and users that want
to seamlessly integrate a cloud component into their IT infrastructure.
Given the proven abilities of Oracle’s prior models, it’s also safe to assume that the new ZS7-2 will outperform other m
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure.
Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using
separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
Today’s data center power and cooling infrastructure has roughly 3 times more data points / notifications than it did 10 years ago. Traditional data center remote monitoring services have been available for over 10 years but were not designed to support this amount of data monitoring and the associated alarms, let alone extract value from the data. This paper explains how seven trends are defining monitoring service requirements and how this will lead to improvements in data center operations and maintenance.
In this white paper we will discuss:
• Why data center limitations are restricting business agility.
• How Cisco Application Centric Infrastructure (ACI) supports frequent changes in applications and infrastructure.
• How Cisco and Citrix® have integrated NetScaler® with ACI to improve data center agility.
Enterprise data-centers are straining to keep pace with dynamic business demands, as well as to incorporate advanced technologies and architectures that aim to improve infrastructure performance, scale and economics. meeting these requirements, however, often requires a complete rethinking of how data centers are designed and managed. Fortunately, many enterprise IT architects are leading cloud providers have already demonstrated the viability and the benefits of a more modern, software-defined data center. This Nutanix white paper examines eight fundamental steps leading to a more efficient, manageable and scalable data center.
Published By: Red Hat
Published Date: Sep 25, 2014
Enterprises are increasingly adopting Linux as a secure, reliable and high-performing platform that lowers acquisition and operating costs while providing the agility needed to anticipate and react to changing business conditions.
In particular, the Red Hat Enterprise Linux (RHEL) operating environment, which is based on the Linux open-source kernel, has become widely deployed by medium-sized and large businesses, by enterprises in their data centers, and in private and public cloud infrastructures.
RHEL is distributed and supported by Red Hat Inc., the world’s largest provider of open-source software solutions, accounting for 74.7% of worldwide Linux operating system (OS) revenue.
As a development and deployment platform, RHEL offers an efficient, scalable and robust operating environment with certified security and flexible deployment options in physical and virtualized environments.
Published By: Red Hat
Published Date: Sep 25, 2014
Today’s mega IT trends – cloud computing, big data, mobile and social media –have dramatically altered how enterprises work, requiring datacenters to find new, more flexible and cost effective ways to meet computing demands.
For most datacenters, the path toward tomorrow's compute paradigm mandates an investment in standardization and consolidation as well as a more robust adoption of enterprise virtualization software, along with cloud system software to extend that virtualized infrastructure into a true private cloud environment.
Linux has emerged as one of the key elements to a modernization program for a datacenter.
With the large amounts of data that are constantly being utilized in today’s highly digitized world, there is a necessity for top of the line infrastructure to maintain everything with precision. Download this case study to see how high performance cloud computing can enhance collaboration and see how it will allow for research to be shared easily and the ability to scale up when needed.