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Trustworthy AI starts with strong governance

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Companies face the challenge of managing their AI models securely, transparently and compliantly - in the face of strict regulations and increasing risks. 

EBCONT supports you with automated compliance processes and continuous monitoring of your AI models.

This allows you to minimize risks, design audit processes efficiently and ensure the compliant and reliable use of your AI - without complicated implementations.

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Trusted Technology and Partner

EBCONT offers companies solutions for secure and transparent AI governance. Our expertise helps you to efficiently meet compliance requirements, identify risks at an early stage and retain full control over your AI models.

 

🛡️  Risk management

Proactive monitoring of bias, drift and security risks.

 

📊  Compliance automation

Automatic adaptation to regulations such as the EU AI Act.

 

🔍  Transparency

Continuous monitoring and fact sheets for audits.

Infographic entitled 'Trustworthy AI starts with strong governance' by EBCONT with watsonx. In the center is a circle with the logos of EBCONT and watsonx, surrounded by three other circles with the topics: 'Compliance Automation' (with a checkmark symbol), 'Risk Management' (with a warning symbol) and 'Transparency' (with a magnifying glass). The design is in shades of green and blue.

Customized AI governance for every industry

 

Whether in the financial sector, healthcare or industry - AI models must be secure, traceable and compliant. watsonx.governance ensures transparency, reduces risks and increases efficiency in a wide range of industries.

 

🏦  Risk management for financial services

  • Monitoring bias and drift in credit models.
  • Compliance with Basel IV and the EU AI Act.
  • Result: Reduction of audit times by 30 %.

 

🏥  Transparency for health data

  • Detailed fact sheets for AI models for diagnostic support.
  • Ensuring GDPR compliance through PII monitoring.
  • Result: Increased acceptance of AI-supported diagnoses by 20%.

 

🏭  Increased efficiency in the industry

  • Use of predictive maintenance with controlled models.
  • Integration of watsonx.governance to monitor performance and drift.
  • Result: 15% reduction in downtime.

EBCONT - Your partner for scalable AI governance

 

EBCONT combines in-depth expertise with state-of-the-art IBM technology to provide companies with reliable AI governance. Our solutions offer automation, security and compliance - customizable to your requirements.


✅ End-to-end AI governance

From development to production - seamless integration.

✅ Automation

Reduction of manual processes through automated workflows.

✅ Modular architecture

Flexibly adaptable for specific requirements.

✅ Security

Preventive detection of risks and threats through IBM Guardium integration.

✅ Compliance ready

Support for EU AI Act and global regulations.

Our solutions are based on the powerful technology of watsonx - for secure and efficient AI governance.

Bruno Simic, EBCONT

Case studies from IBM statistics

Success stories

73% of IT managers are concerned about biased AI results. Less than 30% of CFOs consider regulatory risks to be sufficiently addressed.

+30%

Financial Services

A leading financial institution was able to speed up compliance checks by 30% and reduce the risk of bias by 25%.

+20%

Healthcare

watsonx.governance has improved the accuracy of diagnoses by 20%.

+20%

Industry

Optimization of forecasts with 20% higher accuracy through controlled model evaluation.

FAQ

What are the challenges in the governance of generative AI and LLMs?

Generative AI brings new risks, including:

  • Biased or unreliable data sources from the internet, which can lead to misinformation and bias
  • Lack of transparency in terms of copyright and data protection
  • “Hallucinations” of AI models that generate false or misleading content
  • Lack of regulation and legal uncertainties that pose challenges for companies in regulated industries

 

Why is strong AI governance important?

Companies must ensure that their AI systems operate ethically, transparently and in compliance with the law. Without governance, there is a risk of poor decisions, regulatory breaches and reputational damage. AI governance helps to monitor models, identify risks at an early stage and meet regulatory requirements.

 

What is the difference between generative AI, LLMs and foundation models?

  • Generative AI encompasses a wide range of AI models that can generate new content based on large amounts of data.
  • Large Language Models (LLMs) are specifically optimized for language processing and can generate human-like texts.
  • Foundation models are more versatile than LLMs and can be used for various tasks such as chatbots, translations or the creation of creative content.

 

What makes IBM watsonx.governance unique in the field of AI governance?

IBM watsonx.governance offers a comprehensive platform for the governance and monitoring of AI models, both for machine learning (ML) and for large language models (LLMs). Important unique selling points are:

  • Unified governance for ML and LLM models on one platform
  • AI governance in three central areas: Lifecycle management, risk minimization and compliance with internal and external requirements
  • Automated documentation and traceability of model facts through so-called factsheets

 

What role does EBCONT play in the cooperation with IBM watsonx?

EBCONT supports companies in the implementation and optimization of IBM watsonx.governance. Our service portfolio includes integrating the platform into existing IT infrastructures, automating governance processes and ensuring compliance and quality standards. Our expertise enables the efficient, transparent and compliant use of AI technologies.

Would you like to find out more?

Take advantage of our expertise for secure and transparent AI governance.