November 27, 2023 By Bob Breitel 3 min read

According to a Gartner® report, “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”* However, to be successful they need the flexibility to run it on their existing cloud environments. That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS.

With sprawling data underpinning these AI projects, enterprises are increasingly looking to data lakehouses to bring it all together in one place where they can access, cleanse and manage it. To that end, watsonx.data, a fit-for-purpose data store built on an open data lakehouse architecture, is already available as a fully managed software-as-a-service (SaaS) on Red Hat OpenShift and Red Hat OpenShift Services on AWS (ROSA)—all accessible in the AWS Marketplace.

The watsonx.governance toolkit and watsonx.ai next generation studio for AI builders will follow in early 2024, making the full watsonx platform available on AWS. This provides clients a full stack of capabilities to train, tune and deploy AI models with trusted data, speed and governance with increased flexibility to run their AI workflows wherever they reside.

During AWS ReInvent, IBM will show how clients accessing Llama 2 from AWS Sagemaker will be able to use the watsonx.governance toolkit to govern both the training data and the AI to operate and scale with trust and transparency. Watsonx.governance can also help manage these models against regulatory guidelines and risks tied to the model itself and the application using it.

We’ll also be unveiling several exciting pieces of news about our fast-growing partnership, and showcasing the following joint innovations:

  • IBM Security’s Program for Service Providers: A new program for Managed Security Service Providers (MSSPs) and Cloud System Integrators to accelerate their adoption of IBM security software delivered on AWS. This program helps security providers develop and deliver threat detection and data security services, designed specifically for protecting SMB clients. It also enables service providers to deliver services that can be listed in the AWS Marketplace, leveraging IBM Security software, which feature AWS built-in integrations — significantly speeding and simplifying onboarding.
  • Apptio Cloudability and IBM Turbonomic Integration: Since IBM’s acquisition of Apptio closed in August, teams have been working on the integration of Apptio Cloudability, a cloud cost-management tool, and Turbonomic, an IT resource management tool for continuous hybrid cloud optimization. Today, key optimization metrics from Turbonomic can be visualized within the Cloudability interface, providing deeper cost analysis and savings for AWS Cloud environments.
  • Workload Modernization: We’re providing tools and services for deployment and support to simplify and automate the modernization and migration path for on-premise to as-a-service versions of IBM Planning AnalyticsDb2 Warehouse and IBM Maximo Application Suite on AWS.
  • Growing Software Portfolio: We now have 25 SaaS products currently available on AWS including watsonx.data, APP Connect, Maximo Application Suite, IBM Turbonomic and three new SaaS editions of Guardium Insights. There are now more than 70 IBM listings in the AWS marketplace. As part of an ongoing global expansion of our partnership, the IBM software and SaaS catalog (limited release) is now available for our clients in Denmark, France, Germany and the United Kingdom to procure via the AWS Marketplace.

In addition to these software capabilities, IBM is growing its generative AI capabilities and expertise with AWS—delivering new solutions to clients and training thousands of consultants on AWS generative AI services. IBM also launched an Innovation Lab in collaboration with AWS at the IBM Client Experience Center in Bangalore. This builds on IBM’s existing expertise with AWS generative AI services including Amazon SageMaker and Amazon CodeWhisperer and Amazon Bedrock.

IBM is the only technology company with both AWS-specific consulting expertise and complementary technology spanning data and AI, automation, security and sustainability capabilities—all built on Red Hat Open Shift Service on AWS—that run cloud-native on AWS.

For more information about the IBM and AWS partnership, please visit www.ibm.com/aws. Visit us at AWS re:Invent in booth #930. Don’t miss these sessions from IBM experts exploring hybrid cloud and AI:

  • Hybrid by Design at USAA: 5:00 p.m.​, Tuesday, November 28, The Venetian, Murano 3306
  • Scale and Accelerate the Impact of Generative AI with watsonx: 4:30 p.m., Wednesday, November 29, Wynn Las Vegas, Cristal 7
Learn more about the IBM and AWS partnership

*Gartner. Hype Cycle for Generative AI, 2023, 11 September 2023. Gartner and Hype Cycle are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Was this article helpful?
YesNo

More from Artificial intelligence

AI transforms the IT support experience

5 min read - We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service. About 85% of execs say generative AI will be interacting directly with customers in the next two years. Those who implement self-service search…

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

5 min read - As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with…

Chat with watsonx models

3 min read - IBM is excited to offer a 30-day demo, in which you can chat with a solo model to experience working with generative AI in the IBM® watsonx.ai™ studio.   In the watsonx.ai demo, you can access some of our most popular AI models, ask them questions and see how they respond. This gives users a taste of some of the capabilities of large language models (LLMs). AI developers may also use this interface as an introduction to building more advanced…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters