IBM and Amazon Web Services (AWS) have announced a series of advancements in their collaboration to promote the responsible adoption of generative artificial intelligence (Gen AI) at the AWS re:Invent event. The two companies aim to combine their strengths to offer solutions focused on transparency, security, and trust in the use of this disruptive technology.
Granite Models: Generative AI for Businesses
At the heart of IBM’s strategy is its series of foundational Granite models, designed for enterprises and now available on the Amazon Bedrock and Amazon SageMaker JumpStart platforms. These models, optimized for AWS, enable organizations to develop high-performing AI-based applications at competitive costs. Additionally, the new Granite 3.0 models will be supported by AWS Inferentia and Trainium chips, offering enhanced computing capabilities tailored to current needs.
Why it matters: The integration of the Granite models with AWS allows companies to leverage generative AI securely and at scale, optimizing resources and improving efficiency in critical tasks such as supply chain management and predictive maintenance.
Governance, Security, and Observability Integrated into the AI Lifecycle
Trust in AI systems starts with security. IBM and AWS have enhanced their capabilities to ensure that AI projects are developed with governance and protection. One of the most notable innovations is the integration between IBM watsonx.governance and Amazon SageMaker, which enables risk assessment, model approval, and key information sharing through unified workflows.
Furthermore, the launch of IBM Guardium AI Security in AWS Marketplace provides a comprehensive platform for discovering AI implementations, managing compliance, and mitigating vulnerabilities. This solution detects risks such as “shadow AI” and integrates with watsonx.governance to offer a unified governance and security experience.
Why it matters: In a world where cyber risks are increasing, these tools allow organizations to operate with confidence, ensuring the protection of sensitive data and the operational stability of AI systems.
New Capabilities for Applications and Cloud Security
IBM also introduced advancements in observability with its Instana Generative AI Observability solution, which optimizes AI applications on Amazon Bedrock and SageMaker. Backed by IBM Turbonomic, this tool enables organizations to enhance application performance and reduce operational costs.
Additionally, the upcoming release of IBM Concert will provide AI-driven analytics to identify and predict problems in application environments, improving operational resilience. In terms of security, the new IBM Autonomous Security for Cloud solution will be globally available in December, helping to automate security management in AWS environments.
IBM Consulting: Scaling Generative AI
As a strategic partner of AWS, IBM Consulting continues to develop customized solutions that leverage advanced technologies like Amazon Bedrock, SageMaker, and Amazon Q. During AWS re:Invent, IBM Consulting will showcase how these tools are transforming sectors like customer service, supply chain management, and cybersecurityCybersecurity solutions are essential in today’s digital age….
Expansion in AWS Marketplace
IBM has expanded its presence in AWS Marketplace, offering companies in Europe, America, and Asia the option to acquire software and services directly or through business partners. This approach reinforces accessibility and the adoption of generative AI solutions worldwide.
Conclusion: The collaboration between IBM and AWS is paving the way for a more ethical and secure adoption of AI, providing businesses with cutting-edge tools to face challenges and seize opportunities in digital transformation. With these innovations, both companies are solidifying their position as leaders in democratizing AI.
via: IBM