July 14, 2020 By Candice Zheng 2 min read

To drive business agility and accelerate IT transformation, an integrated hybrid multicloud and AI strategy is key.

IT transformation is the basis of competitive advantage for modern enterprises. Your IT infrastructure determines how quickly you can respond to new market opportunities, how fast you scale, and how well you can serve your customers.

As the digital economy continues to rapidly expand and evolve, organizations must be able to match its pace. Cloud computing has proven to be instrumental in powering digital transformation that is crucial to achieving true business agility, and hybrid multicloud—the next generation of cloud—is the most flexible and effective IT architecture for innovation. Twenty-one percent of the world’s enterprises have already implemented hybrid multicloud to varying degrees (IDC’s Cloud Pulse, 1Q20), and this number will continue to increase drastically.

Hybrid multicloud and AI

While hybrid multicloud helps modernize your IT environment, adding artificial intelligence (AI) can improve the way people work, change how enterprises operate, and even transform entire industries. AI provides capabilities that not only offer cost savings, but also drastically improve business outcomes. It can help organizations automate critical processes, predict and form outcomes at both the macro and micro levels, allow employees to engage in higher-value, more meaningful work, and ultimately optimize and streamline operations.

Hybrid multicloud platforms minimize data siloes and bring together disparate data across environments, creating a unified data architecture needed for AI deployment. Hybrid multicloud also accelerates the development and deployment of AI at scale, and, in turn, AI simplifies and automates the management of hybrid multicloud.

These two technologies are driving IT transformation, and their combined effect can amplify business outcomes. Enterprises need to adopt a holistic hybrid multicloud and AI strategy to produce robust results.

10 steps to consider when creating your cloud and AI strategy

  1. Create AI strategy, data strategy, and infrastructure strategy that are aligned with each other and overall business objectives.
  2. Make sure that all line-of-business executives understand the concepts and urgency of digital transformation and AI.
  3. Let each line of business brainstorm and present its innovative ideas on leveraging AI.
  4. Bring in the CTO, CFO, and their teams to study the feasibility of the ideas from the perspectives of technology and investment/budget.
  5. Evaluate your organization regarding your information architecture.
  6. Design a multipronged strategy for your hybrid multicloud.
  7. Identify cloud platforms with embedded AI capabilities.
  8. Investigate commercial software, open source solutions, and AI-as-a-Service that can accelerate your AI journey.
  9. Establish a staffing and training plan for your AI and hybrid multicloud teams.
  10. Start with proof-of-concept projects that are low-risk but visible enough to the organization to ensure success, awareness, and future funding.

An AI-powered organization primed for digital transformation can only be achieved through strategic planning and consistent execution. Approaching hybrid multicloud and AI together in a holistic and unified strategy is necessary for enterprises to unlock business agility and realize long-term value.

For more information on the 10 steps to a successful cloud and AI strategy, read this IDC Infobrief.

Was this article helpful?
YesNo

More from Cloud

How a US bank modernized its mainframe applications with IBM Consulting and Microsoft Azure

9 min read - As organizations strive to stay ahead of the curve in today's fast-paced digital landscape, mainframe application modernization has emerged as a critical component of any digital transformation strategy. In this blog, we'll discuss the example of a US bank which embarked on a journey to modernize its mainframe applications. This strategic project has helped it to transform into a more modern, flexible and agile business. In looking at the ways in which it approached the problem, you’ll gain insights into…

The power of the mainframe and cloud-native applications 

4 min read - Mainframe modernization refers to the process of transforming legacy mainframe systems, applications and infrastructure to align with modern technology and business standards. This process unlocks the power of mainframe systems, enabling organizations to use their existing investments in mainframe technology and capitalize on the benefits of modernization. By modernizing mainframe systems, organizations can improve agility, increase efficiency, reduce costs, and enhance customer experience.  Mainframe modernization empowers organizations to harness the latest technologies and tools, such as cloud computing, artificial intelligence,…

Modernize your mainframe applications with Azure

4 min read - Mainframes continue to play a vital role in many businesses' core operations. According to new research from IBM's Institute for Business Value, a significant 7 out of 10 IT executives believe that mainframe-based applications are crucial to their business and technology strategies. However, the rapid pace of digital transformation is forcing companies to modernize across their IT landscape, and as the pace of innovation continuously accelerates, organizations must react and adapt to these changes or risk being left behind. Mainframe…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters