The future of organizations lies in digital twins: Transform with artificial intelligence and strengthen sectors such as healthcare and finance. Artificial Intelligence (AI) is more than just ChatGPT. Although 2023 brought AI into the public consciousness thanks to the breakthrough of OpenAI's chatbot, AI has been evolving quietly for decades, waiting for the right moment to shine. Today, it is a completely different kind of technology—capable of simulating, creating, analyzing, and even democratizing, pushing the boundaries of what is possible in virtually every industry.
AI is capable of incredible feats, such as simulating reality (via Deep Learning and Reinforcement Learning), creating new content (with models like GPT and GANs), and predicting outcomes by analyzing enormous datasets. Sectors such as healthcare, finance, and security are already feeling the impact:
These examples are just the tip of the iceberg. From real estate and insurance to customer service and the legal system, AI has the power to revolutionize almost every aspect of our lives.
One of the most intriguing applications of AI is the creation of digitale tweelingen. By simulating reality with operational data, companies can safely explore the impact of AI before deploying it on a large scale. Digital twins can represent a pilot, a judge, or even a digital credit assessor, allowing companies to mitigate risks and gradually integrate AI into their operations.
When companies want to embrace AI, they must consider questions such as “buy, use open source, or build it ourselves?” and “how do we augment our current employees with AI tools?” It is crucial to view AI as a way to enhance human skills—not replace them. The ultimate goal is to create augmented advisors that support decision-making without sacrificing the human element.
With great power comes great responsibility. The EU AI Wet, which came into effect in 2024, aims to balance innovation with fundamental rights and safety. Companies must proactively consider bias in AI models, data privacy, and the ethical implications of deploying such technologies.
Consider using synthetic data generated by GANs to address bias, and leverage tools like SHAP or LIME to build more explainable AI systems. We need AI that supports human goals and values—technology that can improve lives rather than endanger them.
AI already determines how we live and work. According to Gartner, six of the top ten technology trends for 2024 related to AI. Forrester predicts that the AI market will reach a value of 7 billion by 2030. Companies must now figure out how to take AI out of the labs and apply it to practical use cases.
The future is not about replacing people, but about creating a world where personal AIs collaborating with business AIs, augmenting human capabilities and transforming industries. The vision is clear—embrace AI responsibly and harness its power for a more efficient and enriched future.
How Fortis AI can help with this topic
Fortis AI conceived and developed this strategy. Long before major companies like Oracle and Microsoft came up with this idea. This offers a strategic advantage when it comes to speed, approach, and future vision.
What goals you should set
When implementing a digital twin, it is important to set clear and measurable goals. Consider the following steps:
Why Fortis AI
Fortis AI distinguishes itself by combining AI with a customer-centric approach and in-depth IT expertise. The focus is on delivering tailor-made solutions that align with the unique needs of your organization. By partnering with Fortis AI, you can be confident that your AI initiatives are strategically planned and effectively executed, leading to sustainable improvements and competitive advantage.