2019 Artificial Intelligence (AI) predictions

Six AI priorities you can’t afford to ignore

To gain insights into where the market stands on AI implementation, PwC surveyed more than 1,000 business executives with US companies that are currently considering or implementing AI. A full 20 percent said their organisations plan to implement AI enterprise-wide in 2019. If these ambitious plans pan out, many leading US companies will become AI-enhanced — not just in pockets of the organisation, but operations-wide.

The interest in AI is reflected in our Global CEO Survey, which shows that CEOs overwhelmingly agree that AI will have a major impact on their business over the next five years.

What about businesses in Belgium?

Trends and lessons learned from the US market are more relevant than ever for businesses in Belgium, as companies here can accelerate their own AI developments by learning from their counterparts on the other side of the Atlantic.

The global race for AI combined with promises of efficiency, innovation and growth have put the technology on the radar of many Belgian companies. They want to implement, but in which specific areas should Belgian businesses focus their AI strategies in 2019?

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Six AI priorities you can’t afford to ignore

We identified the top six AI priorities

1. Structure

Plan for ROI and momentum

When it comes to structure, the key is reusability of AI assets and building blocks. Belgian businesses should focus on creating a portfolio composed of reusable building blocks to create both quick ROI and momentum to scale.

2. Workforce

Teach AI citizens and specialists to work together

A workforce strategy consisting of citizen users, citizen developers and data scientists needs to be implemented to develop a workforce equipped with the proper AI know-how. By adapting the workforce and cultivating a welcoming culture, businesses can empower their people.

3. Trust

Implement responsible AI

To establish trust in AI, businesses need to address fairness, interpretability, robustness and security, governance and system ethics by embedding accountability in these areas. Find out more about PwC’s view on responsible AI.

4. Data

Locate and label to teach machines

Businesses need to provide the proper conditions to enable AI to be used optimally.

These include labelling and standardising data, using new AI data tools and following data management policies.

5. Reinvention

Monetise AI through personalisation and higher quality

Organisations must look for ways to monetise AI through personalisation and use AI to build better strategies and data-driven business models. This reinvention will lead to more data-driven products and services.

6. Convergence

Combine AI with analytics, the Internet of Things (IoT) and more

Integration of AI with other technologies leads to new, more powerful data-driven business models. With this integration, a continuous flow of data needs to be ensured to allow algorithms to learn and to maintain AI’s performance at the highest possible level.

Contact us

Xavier Verhaeghe

Partner, Technology Consulting, PwC Belgium

Tel: +32 49 559 0840

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