This model aims to significantly enhance weather and climate forecasting, transcending the capabilities of existing technologies.
Watsonx.governance is part of the broader IBM watsonx AI and data platform, which includes AI assistants and tools for AI builders and data management.
Watsonx Code Assistant for Red Hat Ansible Lightspeed will help with tasks such as network configuration and code deployment, while watsonx Code Assistant for Z will help with translating COBOL to Java.
Using the ResNet-50 model as a benchmark, NorthPole achieved up to 25x better energy efficiency and far lower latency than leading 12-nm GPUs and 14-nm CPUs.
The companies will collaborate to infuse generative AI into existing solutions for contact centers, platform services, and supply chain operations.
Specifically, IBM claims its AI can automatically close up to 85% of low priority security alerts and escalate high risk threats needing immediate response.
The initiative, which places a special focus on underrepresented communities, will involve providing free online courses, and collaborations with universities and NGOs worldwide to offer comprehensive AI education.
Through the planned updates, IBM seeks to further enterprise adoption of AI by tackling key challenges like data preparation, model governance, and easy integration into existing environments.
The partnership enables an open, collaborative approach to building AI solutions that embrace diverse models and multiple cloud platforms. This provides clients flexibility to choose the right models and architecture for their desired outcomes.
With many companies still confused about the safety and real-world applicability of AI, the campaign aims to establish watsonx as a potent and secure tool for business leaders seeking to tap into the benefits of AI.
The new AI-powered tool is designed to help translate COBOL code to Java more efficiently, thus enabling businesses to modernize their critical mainframe applications.
The immersive experiences not only enhance enjoyment for fans worldwide but also showcase real-world enterprise applications of generative AI.
This will give Watsonx users access to Llama 2, a 70 billion parameter generative AI model fine-tuned by Meta for natural language tasks.
The Watsonx platform aims to enable businesses to scale and accelerate AI deployment with trusted data, offering an AI studio, data store, and governance toolkit.