ARMONK,
N.Y., May 21, 2024 /PRNewswire/ -- During
the annual IBM Think conference, IBM (NYSE: IBM) announced it is
working with Amazon Web Services (AWS) to make the full portfolio
of IBM offerings within the watsonx artificial intelligence (AI)
and data platform available for use with AWS services. Today's news
will make it easier to scale AI in the enterprise using an open,
hybrid approach supported by end-to-end governance.
The companies plan to integrate IBM watsonx.governance and
Amazon SageMaker -- a service to build, train, and deploy
machine learning (ML) and generative AI models with fully managed
infrastructure, tools, and workflows -- to help Amazon SageMaker
and watsonx customers manage model risk and support compliance
obligations in connection with recent regulatory requirements such
as the EU AI Act. This integration rounds out the availability of
the watsonx platform in AWS Marketplace, which already includes IBM
watsonx.ai and watsonx.data as customer managed offerings.
"IBM's open AI and hybrid cloud strategy is critical to
helping businesses get value from AI, with their own trusted data,
no matter what technology they use or where they're using it," said
Ritika Gunnar, General Manager,
Product Management, Data and AI, IBM. "Watsonx.governance enables
them to manage and govern their AI solutions in an automated way,
with the ability to customize solutions to their unique needs as
they bring on more AI capability and respond to evolving AI
regulations around the world. Our expanded relationship with
AWS combines IBM's leading AI governance with Amazon SageMaker,
offering customers flexibility, scalability, and integration with
other AWS services."
Available in June, watsonx.governance and Amazon SageMaker will
help clients streamline workflows, accelerate time to market for AI
initiatives, and manage AI across complex IT environments and
ecosystems. They will be able to configure and track fully
customizable risk assessment and model approval workflows across
multiple stakeholders, providing an audit trail in both watsonx and
Amazon SageMaker.
"Balancing the rapid progression of generative AI with growing
governance and regulatory concerns is a delicate challenge all
organizations are concerned about," said Chris Konow, CEO CleanSlate Technology Group, a
cloud consulting company and AWS and IBM Business
Partner. "The ability to seamlessly combine the power of AWS
SageMaker with watsonx.governance will help address
governance at the very foundation layer of AI projects."
"IBM watsonx.governance on AWS provides fit-for-purpose AI
governance capabilities that allow us to leverage the power of
Amazon SageMaker," said Adi Paz, CEO
GigaSpaces Technologies, a provider of data platforms that enable
natural language to query enterprise data. "Together these
technologies create a highly trusted foundation for our Retrieval
Augmented Generation Solution, GigaSpaces eRAG."
Further supporting clients on their generative AI journey,
watsonx.data is available on AWS to make it easier for customers to
access, visualize and transform data for use in generative AI
workloads. Through the watsonx.data open data lakehouse on
AWS, customers can access data across hybrid environments including
Db2 Warehouse, Netezza and Amazon Relational Database Service
(Amazon RDS) for Db2, and AWS services such as Amazon Simple
Storage Service (Amazon S3).
In addition to the entire watsonx platform, IBM offers other
software products and consulting offerings, including 44 listings,
29 SaaS offerings and 15 services, in AWS Marketplace across 92
countries. This includes the availability of a consumption-based
license for Amazon RDS for Db2 to simplify workload management
and enable faster cloud provisioning with on-demand licenses.
"Our collaboration with IBM will bring even more generative AI
solutions to our mutual customers," said Ankur Mehrotra, General Manager of Amazon
SageMaker at AWS. "By combining the strengths of Amazon SageMaker
and watsonx.governance, we are empowering businesses to leverage
generative AI effectively and securely, drive workflow
improvements, and ultimately deliver greater value. We look forward
to continuing to innovate together on meaningful AI solutions for
our customers."
Amazon SageMaker HyperPod for Training IBM
Models
Consistent with IBM's hybrid cloud approach, IBM
Research uses a combination of on-premises and cloud-hosted
infrastructure to train the IBM Granite series of large
language models. IBM utilizes its AI super computers to train
its models and additionally has seen value in leveraging Amazon
SageMaker HyperPod. Its seamless support for the open source
tools and orchestrators enabled the IBM Research team to optimize
and scale their training workload across the AWS
environment.
IBM Consulting Brings Expertise to Create
Responsible AI Frameworks
IBM Consulting is further
expanding its generative AI expertise focused on AWS to help joint
customers operationalize responsible AI. With the integration of
watsonx.governance and Amazon SageMaker, IBM Consulting will be
able to help joint clients establish a responsible AI framework to
support their Amazon SageMaker initiatives across the enterprise –
while managing model risk, demonstrating regulatory compliance and
monitoring model performance.
To learn more about how IBM watsonx and AWS are helping
customers on their generative AI journey, please visit ibm.com/aws.
About IBM
IBM is a leading provider of global hybrid
cloud and AI, and consulting expertise. We help clients
in more than 175 countries capitalize on insights from their data,
streamline business processes, reduce costs, and gain the
competitive edge in their industries. More than 4,000 government
and corporate entities in critical infrastructure areas such as
financial services, telecommunications and healthcare rely on IBM's
hybrid cloud platform and Red Hat OpenShift to affect
their digital transformations quickly, efficiently, and securely.
IBM's breakthrough innovations in AI, quantum computing,
industry-specific cloud solutions and consulting deliver open and
flexible options to our clients. All of this is backed by IBM's
legendary commitment to trust, transparency,
responsibility, inclusivity, and service.
Visit www.ibm.com for more information.
Contact: Paul
DiPerna, Paul.DiPerna@ibm.com
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SOURCE IBM