According to a new press release, IBM has introduced watsonx.governance, a platform set to be available in early December. The platform is designed to assist businesses and governments in managing and building trust in generative AI. It addresses the challenges posed by generative AI, particularly those associated with large language models (LLM), such as potential biases and the lack of transparency. It provides organizations with tools to manage risk, enhance transparency, and anticipate compliance with evolving AI regulations. Watsonx.governance offers features like monitoring for fairness, bias, and drift, enabling businesses to proactively detect and mitigate risks associated with AI models.
The platform caters to the growing demand for innovative AI solutions by allowing businesses to deploy a mix of LLMs from various tech providers and open-source communities. It aims to eliminate the mystery around AI models by providing a “nutrition label” for AI, shedding light on the data input and output. IBM emphasizes the importance of transparency and governance in unleashing the full potential of powerful AI models. Kareem Yusuf, Senior Vice President at IBM Software, notes that watsonx.governance serves as a comprehensive solution for businesses struggling with the deployment and management of LLM and ML models.
In addition to watsonx.governance, IBM’s AI and data platform, watsonx, includes other software products like watsonx.ai, an enterprise studio for AI builders, and watsonx.data, an open, hybrid, and governed data store. IBM Consulting has expanded its expertise to help clients scale responsible AI, focusing on both automated model governance and organizational governance. This includes considerations of ethics, culture, accountability, training, regulatory compliance, risk management, and cybersecurity threats, all guided by human-centric design principles.
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