AI-Assisted Decision-Making

Today, companies are faced with two enormous challenges: complexity coupled with an ever-increasing speed of change. Technology like artificial intelligence (AI) can help to overcome those challenges.

Demand Forecasting, dynamic pricing, churn prediction, a smarter supply chain, medical diagnostics, digital finances, automated manufacturing…

These technological advancements are automating, augmenting and combining human intelligence and the power of decision intelligence to enable smarter and more efficient decision-making processes.??

Ronald van Loon is a paretos partner and has used the decision intelligence platform to support key business decisions.

Businesses must maintain a heightened awareness of ever-changing circumstances and real-world scenarios, analyze these perspectives and information, and act with timing.?

This is where Decision Intelligence comes in to power our digital future.

Decision Intelligence is the practice of supporting, augmenting and in a last step automating human decision making with technology.?

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Technology like AI and machine learning can connect complex patterns and interrelationships in data.?

But it's human creativity and intelligence that interprets AI insights and connects them to goals and objectives, which greatly empowers decision-making.

Decision Intelligence allows humans to evaluate complex data quickly, leveraging highly accurate predictions and trade-offs to identify ideal decisions within a platform like paretos offers.

However, people need the capabilities to interact with advanced technology in an easy, user-friendly way, even without technology experience, training or education.?

For example, automated manufacturing addresses disruption and planning challenges by enabling predictive capabilities for logistics and maintenance processes.?

Also, customer churn can be predicted with high accuracy by analyzing customer behavior data and introducing automation into functions like data management and the deployment of AI and machine learning models.

In finance, organizations are enhancing data management capabilities by automating document processing and enhancing security for zero-trust infrastructures by improving governance, monitoring, and reporting capabilities.?

The consequences of decisions have far-reaching impacts on business and society. Decisions are increasing in volume and difficulty, and business must determine how to execute based on real-time insights.?

Decision Intelligence will drive the future of the intelligent world.