Optimize your data and AI investment with IBM Cloud Pak for Data System

By | 4 minute read | December 17, 2020

With the rapid rise of big data and proliferation of artificial intelligence (AI) technologies, organizations are increasing their investments in data, analytics, and AI tools. Data provides organizations a chance to better quantify and understand the consumer, the market, and their own products. With data so widely available, companies are shifting towards a culture that offers a more comprehensive, measurable view of their organization and their audience, but there’s still a long way to go in improving outdated technology and data culture.

That’s why organizations around the world need to modernize their information architecture and invest in a technology portfolio—these updates help drive their shift to a data culture and the widespread adoption of AI. As a part of this journey to AI, organizations are faced with an important deployment choice: cloud or on-premises?

Cloud storage and computing offers organizations a chance to reduce the maintenance costs of traditional hardware and allows for easy expansion, while on-premises deployments provide organizations more comprehensive control of their IT stack and data security.  Both environments have pros and cons, but it’s possible to get the best of both worlds with a hybrid cloud approach.

Some organizations have already taken steps in this direction. The RightScale 2019 State of the Cloud Report by Flexera found that organizations are leveraging a combination of 5 private and public clouds on average, with 38% of workloads in public cloud and 41% in private cloud. And an IDC study sponsored by IBM predicted the worldwide data services for the hybrid cloud market is expected to grow at a CAGR of 20.53% from 2016 to 2021 as organizations seek to reap the benefits of both public and private clouds.

For enterprises looking to leverage a hybrid approach to their data infrastructure, IBM Cloud Pak® for Data System offers a hybrid cloud solution. It brings together the flexibility of cloud with the security and control of on-premises solutions. This approach offers organizations flexibility and prevents vendor lock-in, giving them freedom to choose and change environments and integrate their data across any cloud.

With a hyperconverged, cloud-native architecture and high-performance hardware, IBM Cloud Pak for Data System can prove to be your best investment bet to deploy the deep catalog of data and AI services available on IBM Cloud Pak for Data.

Three primary avenues make IBM Cloud Pak for Data System a great AI investment that’s primed for the future:

  1. Ease of use & growth
  2. Security
  3. Resource efficiency

Ease of use & growth

IBM Cloud Pak for Data System eliminates the need for multiple off-the-shelf hardware components and simplifies resource management into a single centralized console. With a flexible pay-as-you-grow capacity, your platform can scale to fit your needs with plug-and-play hardware nodes and extensible software offerings.


IBM Cloud Pak for Data System provides extensive security and protection for data at rest and data in motion—and that security can have enormous financial and business significance. An IDC study found that 79% of companies surveyed experienced at least one cloud data breach between January 2019 and June 2020 with misconfiguration (67%), lack of adequate visibility into access settings (64%) and user identity and access management permission errors (61%) being the top concerns associated with cloud environments. The 2020 Cost of a Data Breach Report found that the average total cost of a data breach was USD 3.86 million.

IBM Cloud Pak for Data System provides multi-level encryption with support for external key-store alongside self-encrypting drives to help ensure that your data is always safe. Both TLS and SSL protocols are supported. With IBM Cloud Pak for Data System, administrators can generate system-wide vulnerability reports with a single click, streamlining the system security overview. IBM Cloud Pak for Data System also utilizes role-based access control (RBAC) and user groups to help prevent user identity access errors.

Resource efficiency

IBM Cloud Pak for Data System delivers better price-performance because it is designed and optimized for data and AI workloads. The system provides 1.6X throughput for data discovery workloads compared to IaaS, offering the control and scalability of IaaS with superior performance.

Public clouds often charge fees whenever data is moved across clouds or regions. These costs can easily reach millions of dollars and tend to increase over time.[1] IBM Cloud Pak for Data System keeps data closer to compute in order to reduce data transfer costs and improve performance as data volume grows.

In addition, combining workloads and storage onto a single on-premises system is a great way to reduce costs. According to SwiftStack, the five-year on-premises TCO for IBM Cloud Pak for Data System storage could be ¼ the TCO of public cloud storage.


Enterprises need to build systems for AI in order to transform their businesses and lead their industries. Their investments must be considered and careful, weighing the pros and cons of public cloud vs on-premises resources. IBM Cloud Pak for Data System offers the best of both worlds by combining high-performance hardware, world-class support and fully managed services for maintenance and upgrades. This investment will allow your company to cover all its bases with a single system and dramatically improve AI capabilities.

Learn more about how IBM Cloud Pak for Data System helps customers transform their business. Read the competitive analyst report by Cabot Partners, or watch the on-demand virtual event.

[1] Kevin McLaughlin and Amir Efrati, “AWS Customers Rack Up Hefty Bills for Moving Data”. The Information. Oct. 21, 2019.