Expertise Library

Unternehmen mit einem starken Purpose stärken ihre Wettbewerbs- und Marktposition, sind krisenfester, innovativer, effizienter und erzielen höhere Gewinne. Das vorliegende Paper widmet sich deshalb der Frage, wie Unternehmen den Übergang zu einem Purpose-orientierten Handeln erfolgreich meistern und den damit erzielten Erfolg auch messbar machen können. Dazu wird ein Zielbild entwickelt, das klare Handlungsfelder definiert und praxisnahe Impulse gibt. Es soll Unternehmensführern und  Entscheidungsträgern als Leitfaden dienen, um das Potenzial eines Corporate Purpose voll auszuschöpfen und nachhaltigen Erfolg zu realisieren.

In today’s business world, artificial intelligence is not just a trend – it is a key driver that is reshaping industries worldwide. As AI continues to evolve, the need for ethical, transparent and trustworthy systems is becoming increasingly urgent. The EU AI Act is a landmark regulation that sets new standards for the governance and implementation of AI technologies. This is not another regulatory hurdle; it is a strategic opportunity. The EU AI Act introduces a risk-based approach that requires companies to fulfil different compliance requirements depending on the risk potential of their AI systems. This will have a direct impact on how AI is developed and deployed in different sectors.

The next two years will be crucial as organisations manage the transition to these new standards. We see this as an opportunity to take a leading role in creating AI solutions that are not only powerful and efficient, but also meet the highest standards in safety and responsibility. Let’s shape a future-proof, responsible and compliant AI together.

In today’s world, companies are operating in an environment in which climate change and globalisation place high demands on socially and environmentally responsible and environmentally responsible behaviour. The increased occurrence of crises calls for increased resilience, which can only be guaranteed by a strong can only be guaranteed. In addition the highly competitive labour market even successful companies under pressure. Talented specialists are for employers who not only offer financial offer financial incentives, but also share common values and pursue a meaningful corporate purpose. A clearly defined and lived purpose is the central answer to today’s corporate environment and the North Star for for action in successful companies. In business practice, however, the purpose often proves to be abstract and difficult to grasp, which makes it difficult to realise. This leads to an inconsistency between the proclaimed purpose and the concrete actions.

Adressing this challenge, TCW designed a Purpose-2-Value Program to build a profitable and purpose-driven growth track that can be applied in any company.

In recent decades, technological innovations and automation have fundamentally changed how companies operate, driving massive efficiency gains. However, as automation and digitalization of valuechains took center stage, the human element— essential for success— has been pushed to the background. In today’s environment, where we face increasingly complex problems, it’s crucial to refocus on human capabilities.

„Next Level Problem Solving“ is our response to this challenge, aiming to unleash the creative and cognitive potential of employees within the organization.

Over the past few years, data analytics and artificial intelligence (AI) have revolutionized the way companies operate, offering unparalleled opportunities for optimization and efficiency. Yet, despite the technological advancements, many organizations struggle to fully leverage these innovations. A key challenge lies in the human factor—while AI and automation have taken center stage, employee reluctance and a lack of competence have hampered successful adoption.

Recognizing this gap, we developed our TCW Data Analytics Training Concepts to ensure the human element is not left behind. Our approach seeks to blend technology with human creativity, empowering employees to harness the full potential of data science and AI within their organizations.