Adding a layer of AI to your organization's existing IT capabilities can seem simple, especially given the explosion of off-the-shelf AI solutions flooding the market. But how can you be sure a given AI product is right for your business?

The simple answer is by testing different AI solutions against each other.

In a first-of-its-kind composable lab environment, WWT clients can now compare, contrast and train AI solutions using the latest high-performance architectures (HPA), hardware, and software from leading AI/ML innovators like NVIDIA.

Our new AI testing labs are a logical continuation of our long-term investment in AI/ML research and development, our extensive partner ecosystem, and more than three decades of designing, implementing, securing and optimizing complex IT environments to deliver game-changing business results.

WWT is committed to Responsible AI — the practice of designing, developing and deploying AI systems in ways that are safe, ethical and fair.

The types of possible harm to be cognizant of when developing AI systems include unintended bias, inaccuracy, unfairness, a lack of transparency in how decisions are made, discriminatory outcomes, invasions of privacy, regulatory and legal noncompliance, a negative impact on employment opportunities, and more.

By considering the potential risks and benefits of AI systems from a holistic perspective, organizations can take steps to mitigate any prospective harm that may occur downstream as they pursue the many exciting benefits of AI.