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By: Vision Solutions     Published Date: Feb 26, 2010
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
Tags : vision, high availability, ibm, cdp, aix, xsm
     Vision Solutions
By: Vision Solutions     Published Date: Jul 06, 2008
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.
Tags : vision, high availability, ibm, aix, cdp
     Vision Solutions
By: Vision Solutions     Published Date: Feb 18, 2008
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.
Tags : vision, high availability, ibm, aix, cdp, core union
     Vision Solutions
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Sep 25, 2018
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Sep 25, 2018
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018. Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage? • Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Sep 25, 2018
With the deadline for GDPR compliance looming in May 2018, it’s a good time for security and privacy professionals to take stock of how their readiness efforts and approaches compare to the rest of the industry. This data-driven report outlines the current state of compliance, trends by industry and geography, and key Forrester recommendations for moving your efforts forward.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 02, 2018
IBM Cloud Identity helps you secure user productivity with cloud-delivered Single Sign-On (SSO), multifactor authentication, and identity governance. It comes with thousands of pre-built connectors to help you quickly provide access to popular SaaS apps; and pre-built templates to help integrate in-house apps.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 28, 2018
This tutorial shows you how IBM API Connect, a full API management solution, offers options to easily expose SOAP services as REST APIs.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 28, 2018
Messaging middleware can help enterprises meet requirements of complexity, speed, reliability, and security to connect the digital world.
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     Group M_IBM Q418
By: Group M_IBM Q418     Published Date: Oct 28, 2018
This book is your guide to applying the power of APIs to business challenges from changing business models to embracing a world of devices.
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     Group M_IBM Q418
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.
Tags : big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
     Cisco EMEA
By: Financial Force     Published Date: Dec 01, 2017
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.
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     Financial Force
By: Cisco     Published Date: Jan 05, 2015
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.
Tags : datacenter, data management, collaborations, business capabilities
     Cisco
By: IBM     Published Date: Jan 05, 2017
testing landing pages
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing upload
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing
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     IBM
By: IBM     Published Date: Feb 10, 2017
upload test #3
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing 5.14pm
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing asset with underscores test #1
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing underscores in assets #2
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     IBM
By: IBM     Published Date: Feb 10, 2017
testing upload with underscores #3
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     IBM
By: Adobe     Published Date: Nov 09, 2017
In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.
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     Adobe
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