Enterprise-Level Governance, Risk, and Compliance for AI
Aligning your business with the EU AI ACT and global AI standards.
Empowers organizations to understand and navigate the complexities of the fast-evolving AI landscape while complying with upcoming AI regulations.
AI risk management and governance platform, designed to operate within the client’s cloud infrastructure and seamlessly integrate with organizational AI assets.
The center of excellence we initiated with DSG is another prime example of a successful development and implementation of AI tools to improve ZIM’s business decisions.
We strongly recommend DSG! We approached DSG with a highly time-sensitive problem and severe algorithmic debt. DSG initiated an agile study and presented us with a number of promising directions, which were implemented and deployed into our system.
Microsoft continues to have the opportunity to work with DSG on various clients and numerous engagements related to advanced AI and Machine Learning workloads. The DSG team brings innovation to the engagement, and both Microsoft and client teams find professionalism in working with the DSG teams. I would highly recommend working with DSG as a partner.
Safe & Responsible AI Across the Board
Data Scientists
Streamline your workflow, focus on high-impact tasks like model building, and significantly reduce the time spent on repetitive manual monitoring tasks.
ML Ops Engineers
Automatically monitor the risks and KPIs of AI models in real time to understand the business impact of their performance and respond or mitigate immediately.
Executives
Boost your understanding and oversight of AI models in production, paving the way for increased profitability, faster decision-making, and improved ROI across your AI initiatives.
Risk & Compliance
Analyze and identify potential risks across AI governance and compliance, rank them by severity, and mitigate them before they impact the business.
Extending human capabilities through AI
We believe that the key to driving sustainable growth with AI is not by creating more models for the sake of creating more models. But by extending human capabilities through AI using controlled and governed models.
So you can stay relevant, become even more cost-effective, and make business-critical decisions at scale – quickly, and with confidence.