Digital ambition

Artificial intelligence is one of the most important technologies of our time, and businesses that are not using AI are at a serious risk of being left behind, with AI now seen as the most important technology for achieving short-term ambitions.

Our annual technology survey looks at how businesses can use AI to improve growth, resilience, and agility, and argues that businesses that are not using AI are missing out on a major opportunity.

��㣨Leyu�� global tech report 2023

Technology leaders are determined to keep their organisations digital transformation on track.

Download the report

Digital ambition insights

AI adoption

Most countries are prioritizing AI/Machine Learning to support short term ambitions as leaders in their market have already adopted it. Some exceptions:

Australia and Netherlands

What’s stopping these markets?

Customer feedback

Brazil and Israel

What’s stopping these markets?

Proven return-on-investment

France and UK

What’s stopping these markets?

In-house trials/analysis

Japan

What’s stopping these markets?

Guidance from third parties

As a result of the rapid advances in AI, and generative AI in particular, businesses are being forced to reassess their strategies. In last year’s report, 40 percent of businesses said they had reached the “proactive�� stage of their strategy for AI deployment; today, that figure has dropped to just 15 percent showing that many organizations are firmly in the planning & deployment phases of their AI practices.

“It is important to remember that AI provides a way to drive value from many other investments in technology, particularly in the data arena��

Masashi Kaneko
Chief Digital Officer
Mitsubishi Tanabe Pharma Corporation

Digital ambition insights

Three steps towards improved technology integration

According to Nan Wang, Executive Director and Head of IT, Merck

Build a strong infrastructure layer, comprising cloud, on-premises elements if required, and connectivity.

Focus on process: move from manual operations to digital processes, integrated where necessary with external processes, especially in customer engagement. This will enable increased innovation.

Develope deep data expertise: focus on constant improvement, with foundations such as governance, as well as with tools that generate actionable insight such as analytics and AI.

As a result of the rapid advances in AI, and generative AI in particular, businesses are being forced to reassess their strategies. In last year’s report, 40 percent of businesses said they had reached the “proactive�� stage of their strategy for AI deployment; today, that figure has dropped to just 15 percent showing that many organizations are firmly in the planning & deployment phases of their AI practices.