Recent research from IDC found that 85% of CEOs surveyed cited digital capabilities as strategic differentiators deemed essential to accelerating revenue growth. However, IT decision makers remain concerned about the risks associated with their digital infrastructure and the impact it may have on business results, with data breaches and security concerns representing the biggest threats.
With XaaS consumption models growing rapidly and AI and data integration at the forefront of every business plan, we believe protecting data security is pivotal to success. It can also help customers simplify their data compliance requirements as enterprises to support AI and data-intensive workloads.
Automation for efficiency and security
Data is a key component of all AI applications. The ability to access and process the necessary data results in optimal results from AI models. IBM® remains committed to working hard with partners and customers to deliver a set of automation blueprints called deployable architectures.
These charts are designed to simplify the deployment process for customers. We aim to allow organizations to easily choose and deploy their cloud workloads in a way that is tailored to meet pre-defined, auditable security requirements and to help enable seamless integration between AI and XaaS. This commitment to integrating AI and XaaS is evident in our recent achievement last year. This platform is designed to enable organizations to effectively train, validate, tune, and deploy AI models while scaling workloads and building responsible data and AI workflows.
Data protection in multi-cloud environments
Business leaders need to take note of the importance of hybrid cloud support, recognizing the fact that modern organizations often require a mix of cloud and on-premises environments to support their data storage and applications. The truth is that different workloads have different needs to work efficiently.
This means you can't bring all your workloads into one place, whether that's on-premises, in a public or private cloud, or at the edge. One example of this is our work with CrushBank. The organization uses Watsonx to streamline office processes using AI by providing its IT staff with enhanced information. This has improved productivity, which ultimately enhances customer experience. A dedicated hybrid cloud strategy manages security, data latency, and performance, so your employees can get out of IT and into their business.
It all starts with building a hybrid cloud XaaS environment by maximizing your data protection capabilities to support the privacy and security of application data, without having to modify the application itself. At IBM, security and compliance are at the heart of everything we do.
We recently expanded the IBM Cloud Security and Compliance Center, a suite of modern cloud security and compliance solutions designed to help organizations mitigate risks and protect data across their hybrid and multi-cloud environments and workloads. In this age of XaaS, where data is the lifeblood of digital transformation, investing in strong data protection is critical to success.
XaaS requires strong data security
IBM continues to demonstrate its dedication to meeting the highest standards of security in an increasingly interconnected and data-driven world. We can help support mission-critical workloads because our software, infrastructure and service offerings are designed to support our customers as they address their evolving data security and compliance requirements. Amid the rise of XaaS and AI, prioritizing data security can help you protect your customers' sensitive information.
Watch “What is XaaS?” Led by IBM VP Chuck Smith
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