Artificial intelligence is a very powerful tool for solving complex tasks and is already being used for more and more processes. However, many companies are only just beginning to utilise the possibilities of AI. One reason for this is a high level of uncertainty when dealing with self-learning systems, another is a lack of trust in the results.
AI solutions are often perceived as a "black box"
AI solutions are often perceived as a "black box": Input and output are visible, everything in between is in the dark. This lack of transparency can lead to uncertainty and causes many AI projects to fail at an early stage. Other challenges include imprecise output from AI solutions and a lack of scalability. In addition, there are growing regulatory requirements, especially with the upcoming EU "AI Act".
Our range of services
With our "KPMG AI Performance & Governance" offering, we support our clients in implementing and reviewing data science best practices and compliance requirements from a single source. With solutions such as our "KPMG XAI Cockpit", we close the trust gap and enable algorithms to be checked for credibility and objectivity.
We support customers with our "ABC for AI":
In Action - Optimisation of the machine learning lifecycle: Explainability of predictions, detection of misconduct, understanding in the company
For AI solutions to be successful, it is important to focus on the performance of the model. Data scientists need to consider various quality measures during the machine learning lifecycle to evaluate, understand and optimise the model. Monitoring the appropriate KPIs is crucial and helps to avoid costly AI errors and harmful behaviour.
For Business - Company-wide change management: Sustainable acceptance by focussing on the employee or customer perspective
In today's world, AI is key to automating, accelerating and improving key business processes to support transformation at scale and drive value. A business-centric approach throughout an organisation's AI journey is crucial to create tailored solutions for users and customers, while also taking into account the cultural changes involved.
In Control - Well prepared for the regulatory future: taking into account legal requirements such as GDPR and AI Act
The need for standardised AI guidelines has also been recognised globally. At EU level, the focus is currently on the EU AI Act. This will have an extensive impact on companies that offer or use AI solutions, both internally and externally. We will be happy to advise you on the needs-based and practicable implementation of the regulatory requirements: This ranges from determining the status quo, setting up appropriate governance processes and guidelines, through to operational implementation and compliance with the requirements.
KPMG Insights on Lighthouse Germany
Your contact
Andreas Fachinger
Partner, Consulting, Lighthouse Germany - AI & Data Solutions
KPMG AG Wirtschaftsprüfungsgesellschaft