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4 Key Traits of a Digital Transformation Leader

While 84 percent of global companies say that digital transformation is critical to their survival in the next five years, only three percent have completed company-wide transformation efforts, according to a study from SAP SE, supported by Oxford Economics, entitled SAP Digital Transformation Executive Study: 4 Ways Leaders Set Themselves Apart.

The results could spell possible peril for companies lagging in digital transformation: those that have embraced mass digital changes reported significantly higher levels of market share (85 percent vs. 41 percent) and profitability (80 percent vs. 53 percent).

Companies named as the leaders in the survey expect to see roughly 23 percent more revenue growth over the next two years than the rest of the organizations surveyed.

The study also found that digital transformation was cited as a top-three driver of future revenue, across all industries and among companies of all sizes.

The study found that digital leaders hold four key traits:

1. See digital transformation as truly transformational

96 percent of Leaders say digital transformation is a core business goal, compared to 61 percent of all others. The transformation extends through their company, to how they interact with customers, suppliers and partners.

2. Focus on customer-facing functions first

70 percent of Leaders say digital transformation is already delivering increased customer satisfaction vs. 22 percent of all others. The customer experience is the gateway to a successful digital transformation.

3. Prioritize talent

71 percent of Leaders say that digital transformation efforts make it easier to attract and retain talent vs. 54 percent of all others. They also spend more on retraining the existing workforce than their peers.

4. Invest in next-generation technologies

50 percent of Leaders are already working with artificial intelligence and machine learning, compared to 7 percent of all others. They are also investing more heavily in Big Data and analytics (94 percent vs. 60 percent) and the Internet of Things (76 percent vs. 52 percent). Using a bimodal IT architecture lets them run legacy systems efficiently while rapidly integrating new technologies.

“Digital transformation is no longer a choice, it’s an essential driver of revenue, profit and growth,” said Vivek Bapat, SVP, Global Head of Marketing Strategy and Thought Leadership, SAP SE. “Executives need to move from simply understanding the high stakes to activating complete end-to-end execution across their business. This requires innovative breakthrough technologies, investing in digital skills, and retraining the existing workforce. The next two years will be a key inflection point, which will separate the digital winners from those left behind.”

Methodology: The study was based on survey results from more than 3,000 senior executives across 17 countries and regions.

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4 Key Traits of a Digital Transformation Leader

While 84 percent of global companies say that digital transformation is critical to their survival in the next five years, only three percent have completed company-wide transformation efforts, according to a study from SAP SE, supported by Oxford Economics, entitled SAP Digital Transformation Executive Study: 4 Ways Leaders Set Themselves Apart.

The results could spell possible peril for companies lagging in digital transformation: those that have embraced mass digital changes reported significantly higher levels of market share (85 percent vs. 41 percent) and profitability (80 percent vs. 53 percent).

Companies named as the leaders in the survey expect to see roughly 23 percent more revenue growth over the next two years than the rest of the organizations surveyed.

The study also found that digital transformation was cited as a top-three driver of future revenue, across all industries and among companies of all sizes.

The study found that digital leaders hold four key traits:

1. See digital transformation as truly transformational

96 percent of Leaders say digital transformation is a core business goal, compared to 61 percent of all others. The transformation extends through their company, to how they interact with customers, suppliers and partners.

2. Focus on customer-facing functions first

70 percent of Leaders say digital transformation is already delivering increased customer satisfaction vs. 22 percent of all others. The customer experience is the gateway to a successful digital transformation.

3. Prioritize talent

71 percent of Leaders say that digital transformation efforts make it easier to attract and retain talent vs. 54 percent of all others. They also spend more on retraining the existing workforce than their peers.

4. Invest in next-generation technologies

50 percent of Leaders are already working with artificial intelligence and machine learning, compared to 7 percent of all others. They are also investing more heavily in Big Data and analytics (94 percent vs. 60 percent) and the Internet of Things (76 percent vs. 52 percent). Using a bimodal IT architecture lets them run legacy systems efficiently while rapidly integrating new technologies.

“Digital transformation is no longer a choice, it’s an essential driver of revenue, profit and growth,” said Vivek Bapat, SVP, Global Head of Marketing Strategy and Thought Leadership, SAP SE. “Executives need to move from simply understanding the high stakes to activating complete end-to-end execution across their business. This requires innovative breakthrough technologies, investing in digital skills, and retraining the existing workforce. The next two years will be a key inflection point, which will separate the digital winners from those left behind.”

Methodology: The study was based on survey results from more than 3,000 senior executives across 17 countries and regions.

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One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...