In addition, IBM is launching new generative AI capabilities in Watsonx.data, a data store that allows users to access data while applying query engines, governance, automation, and integrations with existing databases and tools. The company is also embarking on the technical preview for Watsonx.governance, a toolkit that provides mechanisms to protect customer privacy, detect model bias and drift, and help organizations meet ethics standards. IBM is under pressure to prove its relevance in the competitive AI field, especially after reporting revenue that missed analyst expectations in its second fiscal quarter.
Key takeaways:
- IBM has introduced new generative AI models and capabilities, known as the Granite series models, across its Watsonx data science platform.
- The company is also launching Tuning Studio, a tool that allows users to tailor generative AI models to their data, and a synthetic data generator for tabular data.
- IBM plans to launch new generative AI capabilities in Watsonx.data, which will allow customers to "discover, augment, visualize and refine" data for AI through a self-service, chatbot-like tool.
- Despite a slowdown in its infrastructure business segment, IBM's CEO, Arvind Krishna, emphasized the importance of AI to IBM's future growth and reported that over 150 corporate customers were using Watsonx as of July.