Sponsor: IBM Corporation

Today’s businesses run on data and the leaders that drive them must embrace forward-looking data science and artificial intelligence (AI) technologies to retain competitive differentiation. They must also reliably support increasingly complex business operations without downtime. Supporting these disparate needs once required a myriad of data platforms, but that is no longer the case.

With version 11.5, IBM Db2® is extending its legacy of dependability by adding AI functionality designed to help optimize performance and support data scientists’ mission to find deeper insights. It is both powered by and built for AI

Effectively using and managing information is critical to pursuing new business opportunities, attracting and retaining customers, and streamlining operations. However, these needs create an array of workload challenges and increase demands on underlying IT infrastructure and database systems that are often not up to the task.

The question is, how will you solve for these challenges? Will you allocate more staff to keep up with patches, add-ons and continual tuning required by existing systems, or simply ignore the potential insights that lie in this wealth of new data? Many businesses are facing this challenge head-on by seeking out new solutions that leverage artificial intelligence (AI) as well as multiple capabilities and deployment options from on-premises, public and private clouds to innovate their data infrastructure and business.

When it comes to cloud environments, whether in the public cloud or a privately hosted or hybrid environment, data security and protection controls must protect sensitive data—and support constantly growing government and industry compliance requirements. Read this ebook to learn how data security and protection technologies should operate in multiple environments (physical, cloud and hybrid) at the same time.

From the perspectives of both data protection and regulatory compliance, it is just as critical to protect sensitive cloud-based data as it is on-premises data. One way to do this is through data encryption, yet many business’s encryption efforts are mired in fragmented approaches, siloed strategies for policy management and compliance reporting, and decentralized key management. These situations have all contributed to making encryption complicated and difficult to implement and manage.

This paper looks at 5 best practices for securing data in multi-cloud environments using the latest data encryption technologies.

This Leadership Compass from analyst firm KuppingerCole provides an overview of the market for database and big data security solutions along with guidance and recommendations for finding the sensitive data protection products that best meet client’s requirements.

The report examines a broad range of technologies, vendor product and service functionality, relative market shares, and innovative approaches to implementing consistent and comprehensive data protection across the enterprise.

APIs are a hot topic, energetically debated by business people, IT managers, and developers alike. Most of the excitement in the public space is about open public APIs. To some degree, not having a public API today is like not having a website in the late 1990s. Yet for many enterprises, public APIs are really the least of their business concerns. More important concerns include building omni-channel solutions, innovating faster than the competition, becoming a mobile enterprise, or operating in a hybrid cloud environment.

Highly decentralized computing is the new normal for most organizations, and digital transformation (DX) initiatives are changing application architectures to event driven to support real-time and near-real-time response cycles. In this environment, enterprises are increasingly turning to messaging middleware to meet the combined requirements of complexity, speed, reliability, and security to connect the digital world of applications and data.

APIs are becoming the digital glue of today’s fast-moving marketplace. They allow you to quickly create interfaces with back-end systems and applications, and then share those interfaces with customers, partners and others to expand your organizations’ reach. Over the last 10 years, the web has essentially become a service-oriented platform, where information and functionality are available through an API. Many early APIs were written using SOAP. But now REST is the dominant development choice, and publication of REST APIs is on the rise.

Analyst whitepaper by Ovum: Hybrid Integration Platforms: Digital Business Calls for Integration Modernization and Greater Agility - Exploring the factors driving hybrid integration platform adoption.

Agile Integration Architecture: The Handbook for all of your lightweight integration needs. In this book you will learn:

• The impact of digital transformation on integration.
• Exploring agile integration architecture in detail.
• Moving forward with an agile integration architecture.

Agile Integration Methodology: Container-Based and Microservices-Aligned Lightweight Integration Runtimes - This paper explores the merits of agile integration architecture--a container-based, decentralized, and microservices-aligned approach for integration solutions that meets the demands of agility, scalability, and resilience required by digital transformation.

This Leadership Compass from analyst firm KuppingerCole provides an overview of the market for database and big data security solutions along with guidance and recommendations for finding the sensitive data protection products that best meet client’s requirements.

The report examines a broad range of technologies, vendor product and service functionality, relative market shares, and innovative approaches to implementing consistent and comprehensive data protection across the enterprise.

As more and more data is created, new compliance requirements are added, and data privacy in general reaches new levels of influence in consumer purchasing decisions, how can technology leaders ensure they keep close tabs on this data and the associated security and compliance risk?

Learn how Guardium Analyzer helps users efficiently assess security and compliance risk associated with regulated data. It helps identify databases containing regulated data and then helps minimize risk using next-generation classification techniques and vulnerability scanning.

From the perspectives of both data protection and regulatory compliance, it is just as critical to protect sensitive cloud-based data as it is on-premises data. One way to do this is through data encryption, yet many business’s encryption efforts are mired in fragmented approaches, siloed strategies for policy management and compliance reporting, and decentralized key management. These situations have all contributed to making encryption complicated and difficult to implement and manage.

This paper looks at 5 best practices for securing data in multi-cloud environments using the latest data encryption technologies.

When it comes to cloud environments, whether in the public cloud or a privately hosted or hybrid environment, data security and protection controls must protect sensitive data—and support constantly growing government and industry compliance requirements. Read this ebook to learn how data security and protection technologies should operate in multiple environments (physical, cloud and hybrid) at the same time.