Artificial Intelligence Readiness and -Performance Benchmark

Artificial Intelligence (AI) will disrupt a large breath of markets and transform organizations, institutions and societies. AI is expected to bring profound positive impacts while at the same time there are also possible risks and pitfalls to watch out for. For countries, it is therefore of paramount importance to become ‘AI ready’, thus to gain the ability to reap the benefits of AI. Capgemini Consulting conducted a benchmark of countries to compare and see where they stand in this process of becoming an ‘AI ready’.  “Artificial intelligence readiness is the extent to which a country and its institutions & businesses have the ability to reap the benefits of AI”

The benchmark contains indicators for three large components that are defined as the foundation of AI readiness, namely the (1) Institutional Environment, the (2) Technological Maturity and the (3) Skill Advancement. These are aggregated to form a total score on which a countries rank is based. The results are as follow:

We also conducted an assessment of the level of performance in AI.  “AI performance is the extent to which a country and its institutions & businesses have committed to the pursuit of a leading position in artificial intelligence.”

The AI Performance Benchmark uses performance indicators to indicate a global leadership rank by creating five categories: (1) Personnel, (2) Monetary Impact, (3) Competitiveness, (4) Research & Education and (5) Technology.

The detailed AI Readiness and -Performance Benchmark can be downloaded here: AI Readiness Benchmark.

To avoid missing out on the potential of AI and to safeguard us from any potential risks, companies and countries need to make fundamental changes to become ready for integrating AI holistically into their strategies, operations and lives. These policy changes should be made to aid in this process:

• AI awareness should be increased by intensively experimenting with AI
• Existing legal frameworks need to be revised to create a favourable AI-enabled environment
• SMEs and bigger companies should work collaboratively and prioritize the low complexity and high benefit projects to create quick wins
• Data sharing and accessibility should be stimulated in initiatives and innovation hubs
• The skills gap between the general workforce and the one that can work with AI needs to be decreased

Dinand Tinholt

Expert in Analytics, Data, Data-driven transformation

Data-driven transformations can deliver great value to an organization and elevate the enterprise in competitive markets where every bit of advantage counts.
I am a Vice President at Capgemini’s Insights & Data global business line, responsible for the consumer products, retail, and distribution (CPRD) market in North America. Previously, I was a lead for our AI strategy and operating models and a part of our global insights-driven enterprise leadership team.
My daily work includes helping clients use data and analytics to improve their business performance and drive innovation in their products and services. I am passionate about helping organizations unlock the potential of their data to truly become data-driven enterprises.
Some of my recent work includes:
Delivering data transformations and multiple data infrastructure and cloud migrations for major consumer-goods companies in North America
Designing and implementing a data innovation Center of Excellence
Leading promotional effectiveness and pricing analytics projects for retailers.
I have experience working for global clients in a range of sectors beyond CPRD, including energy, automotive, aerospace, government, and manufacturing. I have been an advisor to multiple organizations and have helped them focus on digital strategy and improve their ability to leverage data and accelerate innovation.
I have great interest in photography, and I love hiking. I am also fluent in Dutch, and can hold conversations in German, French, and Indonesian.