Scale AI with IBM’s forward-thinking data strategy

In today’s dynamic business environment, organizations are grappling with the complexities of managing ever-expanding data, and disconnected tools while striving to stay competitive in a rapidly evolving technological environment. Siloed data across multiple locations and in various formats, manual processes, and operational inefficiencies hold businesses back from fully harnessing the power of AI, while the demand for faster innovation continues to grow. To scale AI successfully, businesses are seeking solutions that are flexible, seamlessly integrate with existing systems, and streamline data management to ultimately drive meaningful outcomes.

The latest release of IBM Cloud Pak® for Data, version 5.1, marks an exciting new chapter in the platform’s evolution, introducing game-changing innovations that enable customers to efficiently manage a wide range of IBM containerized Data and AI workloads in hybrid and on-premises environments. Alongside, IBM is also rolling out new features and enhancement across IBM Data Fabric and IBM watsonx™. Collectively, these capabilities empower users to unlock significant growth by efficiently scaling data for AI and analytics use cases, driving transformative outcomes across diverse business functions.

To drive AI-powered decisions, organizations must break down data silos and enable unified access to all data, regardless of its location or type—structured, semi-structured or unstructured. With IBM watsonx.data™, an open, hybrid data lakehouse, you can power your AI journey by giving data users access to a secure, unified view of enterprise data, wherever it’s located—across cloud and on-premises systems. IBM watsonx.data also enables retrieval augmented generation(RAG)-based conversational experiences using the scalable, open-source vector store, Milvus, for vector embedding and retrieval of enterprise data.

To foster a data-driven organizational mindset, businesses need to integrate data intelligence solutions that go beyond traditional analytics. IBM empowers organizations to unlock the value of their data with a comprehensive suite of tools for proactive data management and advanced analytics.

By leveraging solutions like IBM Knowledge Catalog for data governance and management, IBM Manta Data Lineage for data lineage and reporting, and IBM Data Product Hub for organization-wide sharing, businesses can achieve unparalleled data quality, visibility, trust and utility. To know more about IBM’s Data Intelligence portfolio, read the blog post.

The rising demand for scalable AI challenges data teams to enhance data usability amid surging volumes in diverse formats and locations. IBM addresses this challenge with interoperable capabilities that support the entire lifecycle of data integration, with multiple integration patterns and the flexibility to support hybrid-multi cloud infrastructure, so that organizations can unlock value regardless of wherever their data resides. We are thrilled to share that IBM has been named a Leader in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools.

Explore the latest product updates across IBM StreamSets, IBM DataStage, IBM Data Replication and IBM’s Data Integration portfolio updates, read the blog post.

As organizations increasingly rely on AI to drive innovation and business growth, the need for a unified, scalable solution becomes essential. IBM watsonx is an enterprise grade platform for generative AI and machine learning solutions offering an AI development studio, a hybrid, open data lakehouse, and an AI governance toolkit. It provides a comprehensive AI solution catering to all your AI needs in one unified platform. watsonx version 2.1 is available now, bringing feature enhancements to  watsonx.ai, watsonx.data and watsonx.governance.

IBM Cloud Pak for Data 5.1 marks a significant milestone in the evolution of enterprise data and AI management. IBM Cloud Pak for Data 5.1 is built upon the foundation laid by IBM Cloud Pak for Data 5.0, which introduced Immersive Experiences that unified IBM watsonx™ and Cloud Pak for Data products on a single platform. Building on the existing innovation of remote data plane in IBM Cloud Pak for Data 5.0, IBM Cloud Pak for Data 5.1 also introduces support for Spark on remote data plane enabling true hybrid deployment.

Through new features like Control Centre, expanded multi-tenancy capabilities with accounts, and a new administration console, IBM Cloud Pak for Data 5.1 delivers unparalleled capabilities in streamlining operations, enhancing user experiences, and laying down the foundation for a true multi-tenancy experience in future.

More information on IBM Cloud Pak for Data 5.1 and its features can be explored here.

Cloud Pak for Data connectors are pre-built integrations that allow you to connect to various data sources. Cloud Pak for Data now has 100+ connectors available with support for various formats. You can now easily find connectors grouped by data source type and create new ones with pre-filled values from existing connectors. Cloud Pak for Data 5.1 supports new connectors including IBM watsonx.data Milvus, Denodo, Elastic Cloud, Azure Synapse Analytics, while also enhancing some of the existing connectors.

In an era of growing complexity and the constant demand for innovation, businesses need solutions that break data silos, streamline operations, unify systems, and enable seamless user experiences. IBM Cloud Pak for Data 5.1 rises to the occasion by empowering organizations to scale data for AI and analytics efficiently, unlocking growth and delivering meaningful business outcomes. As businesses navigate an ever-evolving technological landscape, IBM Cloud Pak for Data 5.1 provides the flexibility and scalability needed to thrive in today’s dynamic environment.

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