AI

How to Integrate Cloud, Data, and AI Technologies to Enhance Business Adaptability

17 July 2024

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Zaker Adham

Adapting to Technological Advancements for Business Growth

In today's era of rapid technological change, businesses must continually reinvent themselves to stay competitive. The integration of cloud, data, and AI technologies is essential for creating a digital core that fosters growth and innovation rather than just cutting costs.

A recent Accenture study involving over 1,500 large global companies reveals that those with a robust digital core saw a 60% increase in revenue growth and a 40% rise in profitability. These companies have successfully leveraged AI to enhance human capabilities rather than replace them, adhering to principles that promote a balanced integration of technology.

Building a Future-Ready Digital Core

A resilient digital core acts as a growth engine, enabling companies to efficiently respond to new technological advancements. For instance, generative AI is expected to revolutionize multiple business functions, creating significant value over the next three years for companies with leading digital cores.

To construct a tailored digital core, businesses must blend cloud practices for agility, data and AI for differentiation, and advanced applications for accelerated growth. Proper integration is crucial, as disjointed IT stacks can hinder innovation. A seamless digital core supports both human and machine capabilities, unlocking greater value.

Strategies for Developing a Strong Digital Core

  1. Value-Driven Leadership:

Technology capabilities dictate the extent of business value. Companies must objectively assess their digital core and invest in modernization to fully leverage AI. This involves developing end-to-end capabilities powered by AI and reimagining processes.

Example: Standard Chartered aims to be "fit for growth" by modernizing its technology. By maintaining legacy systems and adopting cloud-based applications, the bank expects significant savings and enhanced operational efficiency.

2. Strategic Innovation Investments:

Leading companies allocate a growing portion of their IT budgets to strategic innovation. By reducing operational costs, they free up funds for new technologies like generative AI, which augments human capabilities and enhances productivity.

3. Managing Technical Debt:

Companies must balance investments in future technologies with the remediation of technical debt. This includes updating outdated systems and addressing AI-specific technical debt to ensure sustainable growth.

The Path to Reinvention

By following these strategies, companies can swiftly adopt new technologies and gain competitive advantages. Only a small percentage of companies have achieved significant growth and profitability by creating reinvention-ready digital cores. These leaders are poised to harness the next wave of technological innovation, optimizing tasks and enhancing human capabilities.