Data and AI transformation begins with unified governance and integration

Discover what’s new and what’s next at IBM

Data and AI transformation begins with unified governance and integration

Discover what’s new and what’s next at IBM

Introduction

Artificial intelligence (AI) is unlocking the value of data in new ways. Not only does it automate decisions, processes and experiences, it also enables business transformation and the opportunity for higher-value work.

To take advantage of AI, you must collect, organize and analyze data, and then infuse AI across the organization. IBM® leads information architecture initiatives with unified governance and integration at the core.

I. There’s no AI without information architecture

With a unified, prescriptive information architecture, organizations can modernize their data estate and make it ready for an AI and multicloud world.

IBM unified governance and integration (UGI) platform solutions organize an analytics foundation for trusted, business-ready data prepared for insights and compliance. The breadth of the portfolio helps ensure your data is managed and ready to meet your business needs from its creation to its disposal.

Graph that represents in a linear fashion how predictive modeling plus realtime analysis equals a more accurate forecast and how incorporating optimization engines plus evaluating multiple scenarios equals better operations planning.

  • Leading with multicloud
  • Accelerating app modernization
  • Innovating our compliance accelerators

Read on to learn what’s new and what’s next in the UGI portfolio to organize your data for hybrid and AI applications. Explore these three trends that are driving enterprise modernization and compliance initiatives at scale.

II. Leading with multicloud

Enterprises are adopting a hybrid, multicloud approach to enable greater flexibility and application modernization.

These clouds offer a variety of delivery models, ranging from fully run and managed on your environment, to a fully-hosted, third-party implementation. As organizations increase the complexity of their multicloud architecture, they start to encounter the challenge of managing flexibility. You should be able to build, run and move applications freely on or off-premises—for all parts of your business.

Open architecture increases flexibility and decreases vendor lock-in
That’s why IBM has built an open, Kubernetes-based architecture for applications. With common services to consistently deploy apps and workloads, and helps ensure interoperability across all clouds, on or off-premises, without a vendor lock-in.

Graphic that shows the many function of a business like IT, HR, Operations, Product Development, and finance as puzzle pieces with an opening in the center of the puzzle. Data Science Team is represented as the missing puzzle piece that completes the whole puzzle of business operations.

With the new upgrades to IBM InfoSphere® Information Server 11.7.1, you can deliver seamless visibility, governance, and management of apps and workloads across clouds from essentially any vendor, including Amazon Web Services (AWS) and Microsoft Azure. The new generation of the IBM InfoSphere Information Server platform brings tailored design and automation to provide a simplified user experience, while delivering market-leading data quality, replication, governance and integration capabilities.

Having access to all your data on or off-premises— while continuing to own your data is critical. As you consider third-party hosted implementations, consider how owning your data supports your intellectual property (IP) guidelines.

Graph that represents in a linear fashion how predictive modeling plus realtime analysis equals a more accurate forecast and how incorporating optimization engines plus evaluating multiple scenarios equals better operations planning.

Enterprise data catalog helps accelerate self-service analytics
A unified data catalog collects, governs and activates virtually all data for self-service and AI. Gartner predicts that by 2019, the analytics output of business users with self-service capabilities will surpass that of professional scientists. (2)

IBM unified governance and integration solutions now include the IBM Watson® Knowledge Catalog, a modern enterprise data catalog that can collect and organize your data and help curate, share and consume data for data users of any sort including data scientists and data governance professionals (Figure 1). No data migrations or uploads to the cloud are needed. It helps you manage your metadata and data assets your way.

III. Accelerating app modernization

Application modernization is an area of great importance this year as test data management and DevOps look to accelerate time-to-market. Only 20 percent of applications and workloads that exist today are cloud-enabled.3

Only 20% of applications ar e workloads that exist today are cloud-enabled.

Organizations are making large investments in modernizing applications to increase efficiency, reduce cost and gain competitive advantage. Depending on the organization, application modernization considerations can manifest themselves in many ways. The two top considerations surrounding your data are test data management and connectivity.

Accelerate time to market with rapid testing and development
Enterprises have moved from manually testing after development to an agile methodology where testing and development happen concurrently. To compete, companies must ship software at higher rates—internally to provide business-critical data and processes, and externally to maintain customer satisfaction. Faster shipping requires quick and streamlined access to accurate data. Companies want their data to be secure and meet compliance regulations to protect customers and users.

IBM test data management solutions help customers deploy higher quality applications in less time and at a lower cost by provisioning and refreshing test data environments on-premises or in the cloud.

Chart that plots an organization's journey to analytics marturity, showing "technology, need, and outcome" along the y axia, and "planning, descriptive, diagnostic, predictive, and prescriptive" across the x axis. Within the chart, needs are outline and the outcomes of each x axis variable are answered.

What’s new with data automation
The latest solution in this area is IBM InfoSphere Virtual Data Pipeline (VDP) technology that delivers application-centric, service-level agreement (SLA) driven automation to test data management and DevOps (Figure 2). The technology decouples the management of data to be used for testing and development from production infrastructure. The result is a single, simple solution that efficiently virtualizes all copies of production data for data protection, application development and testing analytics. VDP manages all of your data through a single platform—from only one golden copy of your production data. VDP allows IT administrators to access a single, masked, any point-in-time copy of your data through a self-service interface. Properly capturing, managing, and using data is made simpler with VDP.

Trusted master data across the enterprise
The other side of the coin is addressing connectivity. Connecting all business applications and data, no matter where they live, through flexible integration capabilities that can address your organization’s unique integration needs is key. As the volume of mobile applications and mobile data continues to explode, your organization needs secure real-time access to manage them. IBM InfoSphere Master Data Management solutions have enhanced operational cache capabilities to help you to do just that; giving you better and quicker access to your golden record of customer and product data.

IV. Innovation in compliance accelerators

Reducing compliance risks
Global data privacy compliance regulations like the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA) and the Lei Geral de Proteção de Dados (LPGD) in Brazil have put a focus on personal customer and employee data. While noncompliance to these regulations could lead to severe penalties, the regulations offer organizations an opportunity to transform and create new data-led business models. Meeting privacy obligations and protecting personal data requires the discovery and classification of different types of data across the business. Applying advanced ML and AI to these processes can accelerate the understanding or risk levels and definitions of data access controls across your organization.

What’s next with compliance accelerators
IBM is introducing a new cognitive solution, IBM StoredIQ® InstaScan, that quickly leverages existing index for quick scans of cloud data sources through sampling to identify the areas of largest compliance risk. It also will check the compliance of your data sources, allowing you to set acceptable error levels to run confidence reports and remediate at the source.

Additionally, a new regulatory industry model was introduced. IBM InfoSphere Regulatory Accelerator for IBM Cloud™ Private for Data helps increase productivity by reducing the manual effort in discovery and extraction processes. It uses ML to extract key terms, definitions, policies and controls from regulatory taxonomies within a collaborative environment for data stakeholders. This environment consolidates all initiatives actively contributing to regulatory readiness.

Know your data. Trust your data. Use your data.

Next steps

As you continue to evolve and prepare your information architecture strategy to achieve your digital transformation and compliance objectives, ensure your vendors support you to:

card_3

Know your data

Automate how you discover, integrate and replicate all types of data.

card_3

Trust your data

Ensure quality, governance and lineage of your data regardless of where it lives.

card_3

Use your data

Transform your business into a data-driven culture with self-service data.

Ready to explore how one of these new IBM solutions fits into your architecture? Schedule a 30-minute consultation with one of many thought leaders, distinguished engineers and unified governance and integration experts who have worked with thousands of clients to build winning data, analytics and AI strategies.

Learn more

Sources

Table of contents

Introduction

Introduction

Artificial intelligence (AI) is unlocking the value of data in new ways. Not only does it automate decisions, processes and experiences, it also enables business transformation and the opportunity for higher-value work.

To take advantage of AI, you must collect, organize and analyze data, and then infuse AI across the organization. IBM® leads information architecture initiatives with unified governance and integration at the core.

I. There’s no AI without information architecture

I. There’s no AI without information architecture

With a unified, prescriptive information architecture, organizations can modernize their data estate and make it ready for an AI and multicloud world.

IBM unified governance and integration (UGI) platform solutions organize an analytics foundation for trusted, business-ready data prepared for insights and compliance. The breadth of the portfolio helps ensure your data is managed and ready to meet your business needs from its creation to its disposal.

Graph that represents in a linear fashion how predictive modeling plus realtime analysis equals a more accurate forecast and how incorporating optimization engines plus evaluating multiple scenarios equals better operations planning.

  • Leading with multicloud
  • Accelerating app modernization
  • Innovating our compliance accelerators

Read on to learn what’s new and what’s next in the UGI portfolio to organize your data for hybrid and AI applications. Explore these three trends that are driving enterprise modernization and compliance initiatives at scale.

II. Leading with multicloud

II. Leading with multicloud

Enterprises are adopting a hybrid, multicloud approach to enable greater flexibility and application modernization.

These clouds offer a variety of delivery models, ranging from fully run and managed on your environment, to a fully-hosted, third-party implementation. As organizations increase the complexity of their multicloud architecture, they start to encounter the challenge of managing flexibility. You should be able to build, run and move applications freely on or off-premises—for all parts of your business.

Open architecture increases flexibility and decreases vendor lock-in
That’s why IBM has built an open, Kubernetes-based architecture for applications. With common services to consistently deploy apps and workloads, and helps ensure interoperability across all clouds, on or off-premises, without a vendor lock-in.

Graphic that shows the many function of a business like IT, HR, Operations, Product Development, and finance as puzzle pieces with an opening in the center of the puzzle. Data Science Team is represented as the missing puzzle piece that completes the whole puzzle of business operations.

With the new upgrades to IBM InfoSphere® Information Server 11.7.1, you can deliver seamless visibility, governance, and management of apps and workloads across clouds from essentially any vendor, including Amazon Web Services (AWS) and Microsoft Azure. The new generation of the IBM InfoSphere Information Server platform brings tailored design and automation to provide a simplified user experience, while delivering market-leading data quality, replication, governance and integration capabilities.

Having access to all your data on or off-premises— while continuing to own your data is critical. As you consider third-party hosted implementations, consider how owning your data supports your intellectual property (IP) guidelines.

Graph that represents in a linear fashion how predictive modeling plus realtime analysis equals a more accurate forecast and how incorporating optimization engines plus evaluating multiple scenarios equals better operations planning.

Enterprise data catalog helps accelerate self-service analytics
A unified data catalog collects, governs and activates virtually all data for self-service and AI. Gartner predicts that by 2019, the analytics output of business users with self-service capabilities will surpass that of professional scientists. (2)

IBM unified governance and integration solutions now include the IBM Watson® Knowledge Catalog, a modern enterprise data catalog that can collect and organize your data and help curate, share and consume data for data users of any sort including data scientists and data governance professionals (Figure 1). No data migrations or uploads to the cloud are needed. It helps you manage your metadata and data assets your way.

III. Accelerating app modernization

III. Accelerating app modernization

Application modernization is an area of great importance this year as test data management and DevOps look to accelerate time-to-market. Only 20 percent of applications and workloads that exist today are cloud-enabled.3

Only 20% of applications ar e workloads that exist today are cloud-enabled.

Organizations are making large investments in modernizing applications to increase efficiency, reduce cost and gain competitive advantage. Depending on the organization, application modernization considerations can manifest themselves in many ways. The two top considerations surrounding your data are test data management and connectivity.

Accelerate time to market with rapid testing and development
Enterprises have moved from manually testing after development to an agile methodology where testing and development happen concurrently.

To compete, companies must ship software at higher rates—internally to provide business-critical data and processes, and externally to maintain customer satisfaction. Faster shipping requires quick and streamlined access to accurate data. Companies want their data to be secure and meet compliance regulations to protect customers and users.

IBM test data management solutions help customers deploy higher quality applications in less time and at a lower cost by provisioning and refreshing test data environments on-premises or in the cloud.

Chart that plots an organization's journey to analytics marturity, showing "technology, need, and outcome" along the y axia, and "planning, descriptive, diagnostic, predictive, and prescriptive" across the x axis. Within the chart, needs are outline and the outcomes of each x axis variable are answered.

What’s new with data automation
The latest solution in this area is IBM InfoSphere Virtual Data Pipeline (VDP) technology that delivers application-centric, service-level agreement (SLA) driven automation to test data management and DevOps (Figure 2). The technology decouples the management of data to be used for testing and development from production infrastructure. The result is a single, simple solution that efficiently virtualizes all copies of production data for data protection, application development and testing analytics. VDP manages all of your data through a single platform—from only one golden copy of your production data. VDP allows IT administrators to access a single, masked, any point-in-time copy of your data through a self-service interface. Properly capturing, managing, and using data is made simpler with VDP.

Trusted master data across the enterprise
The other side of the coin is addressing connectivity. Connecting all business applications and data, no matter where they live, through flexible integration capabilities that can address your organization’s unique integration needs is key. As the volume of mobile applications and mobile data continues to explode, your organization needs secure real-time access to manage them. IBM InfoSphere Master Data Management solutions have enhanced operational cache capabilities to help you to do just that; giving you better and quicker access to your golden record of customer and product data.

IV. Innovation in compliance accelerators

IV. Innovation in compliance accelerators

Reducing compliance risks
Global data privacy compliance regulations like the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA) and the Lei Geral de Proteção de Dados (LPGD) in Brazil have put a focus on personal customer and employee data. While noncompliance to these regulations could lead to severe penalties, the regulations offer organizations an opportunity to transform and create new data-led business models. Meeting privacy obligations and protecting personal data requires the discovery and classification of different types of data across the business. Applying advanced ML and AI to these processes can accelerate the understanding or risk levels and definitions of data access controls across your organization.

What’s next with compliance accelerators
IBM is introducing a new cognitive solution, IBM StoredIQ® InstaScan, that quickly leverages existing index for quick scans of cloud data sources through sampling to identify the areas of largest compliance risk. It also will check the compliance of your data sources, allowing you to set acceptable error levels to run confidence reports and remediate at the source.

Additionally, a new regulatory industry model was introduced. IBM InfoSphere Regulatory Accelerator for IBM Cloud™ Private for Data helps increase productivity by reducing the manual effort in discovery and extraction processes. It uses ML to extract key terms, definitions, policies and controls from regulatory taxonomies within a collaborative environment for data stakeholders. This environment consolidates all initiatives actively contributing to regulatory readiness.

Know your data. Trust your data. Use your data.

Next steps

Next steps

As you continue to evolve and prepare your information architecture strategy to achieve your digital transformation and compliance objectives, ensure your vendors support you to:

card_3

Know your data

Automate how you discover, integrate and replicate all types of data.

card_3

Trust your data

Ensure quality, governance and lineage of your data regardless of where it lives.

card_3

Use your data

Transform your business into a data-driven culture with self-service data.

Ready to explore how one of these new IBM solutions fits into your architecture? Schedule a 30-minute consultation with one of many thought leaders, distinguished engineers and unified governance and integration experts who have worked with thousands of clients to build winning data, analytics and AI strategies.