In this case study, large health systems implement IBM Watson Health to surface improvement opportunities. Using this tool, they were able to cut costs, reduce patients’ length of stay, acquire actionable data, address number of readmissions and improve management of COPD and sepsis.
It is breathing life into our existing energy resources
and creating new opportunities.
Better use of data has visible, tangible and immediate results.
It is helping energy companies become safer, more reliable
and more efficient.
This is good for both our wallets and our planet.
For more information visit: www.ibm.com/energy
or watch our webinar here
Published By: Google Apigee
Published Date: Feb 05, 2019
In our 26-criterion evaluation of API management
solutions providers, we identified the 15 most
significant ones — Axway, CA Technologies,
Google, IBM, Microsoft, MuleSoft, Oracle, Red
Hat, Rogue Wave Software, Sensedia, Software
AG, TIBCO Software, Torry Harris Business
Solutions, Tyk Technologies, and WSO2 — and
researched, analyzed, and scored them. This
report shows how each provider measures up
and helps application development and delivery
(AD&D) professionals make the right choice.
Published By: Bell Micro
Published Date: Jun 14, 2010
In this Customer Solution Profile a Fortune five organization put the IBM XIV storage system through its paces in their Microsoft Exchange 2003 environment.
Published By: Bell Micro
Published Date: Jun 14, 2010
This paper discusses how the IBM XIV Storage System's revolutionary built-in virtualization architecture provides a way to drastically reduce the costs of managing storage systems.
Published By: Bell Micro
Published Date: Jun 14, 2010
In this white paper, we describe the XIV snapshot architecture and explain its underlying advantages in terms of performance, ease of use, flexibility and reliability.
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
Countless studies and analyst recommendations suggest the value of improving security during the software development life cycle rather than trying to address vulnerabilities in software discovered after widespread adoption and deployment. The justification is clear.For software vendors, costs are incurred both directly and indirectly from security flaws found in their products. Reassigning development resources to create and distribute patches can often cost software vendors millions of dollars, while successful exploits of a single vulnerability have in some cases caused billions of dollars in losses to businesses worldwide. Vendors blamed for vulnerabilities in their product's source code face losses in credibility, brand image, and competitive advantage.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
The 12 Providers that Matter Most and How they Stack Up.
In our 28-criteria evaluation of enterprise service management (esM) providers, we identified the 12 most significant ones — Atlassian, Axios, BMC software, CA Technologies, Cherwell software, easyvista, iBM, ivanti, Micro focus, servicenow, sunview and ToPdesk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations (i&o) professionals make the right choice.
This paper presents an overview of IBM System i high availability to companies that are beginning to explore this powerful business continuity technology.
This white paper will provide a road map to the most effective strategies and technologies to protect data and provide fast recovery should data be lost or corrupted due to accident or malicious action.
Journaling is a powerful feature, one that IBM has continued to develop and improve over the years. Yet, depending upon your business requirements, you probably still need more protection against downtime than journaling alone can provide. This white paper will cover what you need to know about journaling, what it can do and how it supports and cooperates with high availability software.
Achieving effective and efficient high availability protection for larger IBM i environments requires careful thought and clear understanding of the technology options. This white paper describes what you need to know in order to make an informed decision about IBM i high availability strategies so that your business requirements for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are not compromised
This white paper provides a road map to the most effective strategies and technologies to protect data in AIX environments and provide fast recovery should data be lost or corrupted due to accident or malicious action. The paper also outlines the benefits of continuous data protection (CDP) technologies for AIX.
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Mention artificial intelligence (AI) to a person on the street, and you'll conjure up Hollywood visions ranging from the humanity-crushing Skynet of the Terminator series to the robot love interests in Her or Ex Machina. Perspectives on the tangible impact of AI similarly range from Elon Musk's declaration of AI as "the greatest risk we face as a civilization" to IBM Chief Science Officer Dr. Guruduth Banavar's belief that "we've never known technology that can have a greater benefit to all of society than artificial intelligence". The reality, especially in the short term, likely lies somewhere between these extremes.
The Cisco UCS solution provides all management and configuration services at the centrally located Fabric Interconnects, so you can manage large-scale deployments from a single location. This method lets you consolidate hardware and streamline management. The IBM Flex System solution uses a distributed management model with chassis-level control. This method adds to the complexity to the hardware configuration, which can increase management needs.
