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Published By: IBM     Published Date: Jan 27, 2017
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
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.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
For more and more organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. In fact, hybrid cloud is the new norm for IT. IDC says more than 80% of enterprise IT organizations will commit to hybrid cloud by 20171, and 70% of IT decision-makers say they will always have a mix of traditional IT and cloud architectures.2 With important applications and workloads architected across both on-premises and hybrid, public and private cloud environments, business and IT stakeholders must be able to access data with equal efficiency, reliability and speed—regardless of physical location, infrastructure type or time frame.
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IBM
Published By: IBM     Published Date: Feb 21, 2017
IDC shows how organizations can achieve value moving from on-premise app development to cloud-based solutions like IBM WebSphere on cloud.
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ibm, application infrastructure, cloud, middleware
    
IBM
Published By: IBM     Published Date: Mar 30, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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cloud security, electronic security, health care, security risk management, user authentication, cloud technology
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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cloud-based data, data quality, data management, hybrid environment, decision making
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Oct 01, 2016
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: May 23, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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cloud applications, mobile optimization, web-based applications, data availability, ibm, db2
    
IBM
Published By: IBM     Published Date: Jun 07, 2017
Read this eBook to get insight on the essential elements of a modernized B2B integration architecture. Companies need a strategy as they think about modernizing their B2B integration capabilities. This eBook describes what to look for and how IBM can help. You’ll learn about: · Operating a single, secure B2B integration gateway · Simplified onboarding and partner management. · High availability business operations and disaster recovery · Adaptable capabilities to help react to changes to your business processes · Visibility and analytics that provide actionable insight over those processes · Supporting a mix of hybrid deployment models including on-premises and cloud
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b2bi, ibm, b2b integration, modernization, b2b architechture
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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reliability, security, consistency, database, platform, access
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
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.
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data lake, user experience, knowledge brief, cloud infrastructure
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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data, security, encryption, cloud environments, data regulation
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
Welcome to the era of the digital enterprise, where digital is your journey and cognitive is your destination. As business leaders, you are under growing pressure to use information to its fullest potential, delivering new customer experiences as fuel for business growth. The digital economy is changing the way we gather information, gain insights, reinvent our businesses and innovate both quickly and iteratively A hybrid cloud environment, combining traditional IT systems and public cloud, enables you to extend business processes beyond the walls of your organization. For example, many organizations use public cloud as a collaborative development environment to create innovative applications that can then be ported to an on-premises or hybrid production environment.
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cognitive era, digital, database, hybrid cloud environment, public cloud
    
IBM
Published By: IBM     Published Date: Oct 16, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on-premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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ibm, encryption, hybrid-cloud, data protection
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
Many organizations face access management chaos. As applications and resources have spread across on-premise data centers and multiple cloud providers, users are often accessing these resources from anywhere and on multiple devices. These simultaneous trends have left access management systems fragmented and access polices inconsistent, resulting in an environment that is expensive to maintain and challenging to secure.
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access management, integrated platform, cloud security, enterprise security, data security
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
Identity-as-a-service (IDaaS) is the cloud alternative to maintaining identity and access management (IAM) products on-premise. Fully featured IDaaS offers authentication, access control, single sign-on (SSO), provisioning and password management, infrastructure and directory management, reporting, alerting, and monitoring services, and is hosted, managed, and delivered as a cloud-based service.
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idaas, identity and access management, data protection, cloud based security, identity management
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
Adopting Identity as a Service (IDaaS), also known as Cloud IAM, can reduce your IT costs, but how do you convince your organization to take the leap? Use this TCO guide to compare the cost of on-premises and cloud-based IAM, such as IBM Cloud Identity Service. Then, calculate your three-year cost savings to truly “wow” your team.
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iam, total cost of ownership, cloud based identity, access management, idaas
    
IBM
Published By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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ibm, cloud, cloud computing, database, ibm db2
    
IBM
Published By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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ibm db2, cloud, on-cloud applications, mixed-workload database
    
IBM
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: IBM     Published Date: Jul 02, 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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IBM
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