Artificial Intelligence

Artificial Intelligence

Less hype, more results

Artificial Intelligence provides ample opportunities for businesses in every industry. The impressive leaps in generative AI and the comparatively easy access to it are creating room for efficiency gains and innovation. But in an environment brimming with promises and ever-shorter hype-cycles, it is paramount for businesses to find their AI focus. Only then, they can put their efforts and investments into solutions that make an impact on their performance. This empowers them to address both, challenges of today and the opportunities of tomorrow, setting them up for success in a rapidly changing world.

Time to calibrate the future

At Roland Berger we believe in the evolutionary power of artificial intelligence to optimize outcomes. AI can elevate whole business models. Companies that embrace and apply it strategically innovate faster, increase efficiency, foster collaboration and make better decisions. To guide organizations in implementing the right solutions, we combine our proprietary Roland Berger act.AI suite of methodologies and tools with a deep understanding of the industries our clients operate in.

With a strategic approach to AI, organizations can future-proof their business models and gain an edge over the competition. Clearly defined business goals and an AI-readiness assessment help companies identify key use cases.

Understand where AI can make a difference for your business by browsing our latest research and assessments.

Thoughtful optimization with the right technology

To seize the opportunity for high-impact value creation, organizations must consider more than adopting certain technologies. The successful application of artificial intelligence calls for a transformation in culture and processes and the navigation of potential risks and insecurities — from IT (infrastructure) security to regulatory compliance to talent scarcity. But with a thoughtful and measured approach companies can optimize the deployment of existing assets by leveraging new technologies, for example:

  • AI-powered automation: Streamlining business processes and automating repetitive tasks for improved efficiency and reduced operational costs.
  • Predictive analytics: Forecasting trends and identifying opportunities and risks to make better data-driven decisions.
  • Cybersecurity and threat detection: Identifying anomalies and threats in real-time to safeguard digital assets and sensitive data.
  • Supply chain optimization: Optimizing operations with improved demand forecasting, inventory management and logistics efficiency.
  • Research & development: Accelerating research and product development by analyzing vast datasets and simulating experiments.
  • Sustainability: Monitoring relevant data, helping organizations make informed decisions on their environmental footprint.

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Further readings