How the next generation of IBM Cloud Pak® for Data will help operationalize AI faster while removing complexity.

Three years ago, we launched IBM Cloud Pak® for Data to help our clients speed data-driven, predictive outcomes. Since that time, we have worked tirelessly to unleash greater productivity, insights and cost-risk mitigation. Today I am excited to discuss the latest evolution of that journey and share how the next generation of IBM Cloud Pak for Data will help our customers operationalize AI faster while removing complexity by connecting the right data to the right people at the right time, from anywhere.

Data drives digital transformation. AI unlocks the value of data. Hybrid cloud democratizes it.

It’s no secret that data and how we leverage it is transforming business as we know it. A recent survey of more than 13,000 C-suite leaders validated that data-driven organizations are 178% more likely to outperform their peers in terms of revenue and profitability. With enterprises currently maintaining a vast amount of data under management, why are so few capitalizing on this competitive advantage? A key element of the answer is complexity.

Companies today are struggling to manage and maintain a multitude of data sources spanning public, private and on-premises clouds. Today’s Global AI Adoption Index 2021 study found 75% of global respondents surveyed stated their company is pulling from over 20 different data sources that feed their AI, BI and analytics systems. In addition, one third of those respondents cited this data complexity and siloes as top barriers to AI adoption. Further compounding the complexity of these hybrid data landscapes is the fact that the lifespan of that data — the time that it is most relevant and valuable — is drastically shrinking.

Intelligent data fabric

While the transformative power of artificial intelligence (AI) is undeniable, turning AI aspirations into outcomes starts with a solid foundation that can address the complexity of today’s diverse data landscapes. To that end, IBM is infusing new AI-powered capabilities into IBM Cloud Pak for Data that will become the core components of a new intelligent data fabric within the platform.

This intelligent data fabric will use AI to automate complex data management tasks and universally discover, integrate, catalog, secure and govern data across multiple environments. Users will be able to benefit from intelligent unification of diverse data types and architectures — like data lakes, data catalogs, warehouses and other data integration platforms — into one common data foundation without the need to copy or move information.

The first set of new capabilities coming to Cloud Pak for Data include the following:

  • AutoSQL: A high performance, universal query engine that simplifies your data landscape by enabling you to use the same query across disparate data sources, including data warehouses, data lakes and streaming data, saving time and resources that would typically go into moving data and maintaining multiple query engines. In conjunction with the platforms existing data virtualization capabilities, AutoSQL empowers users to easily query data across hybrid, multicloud and multi-vendor environments. AutoSQL includes pre-integrated data governance capabilities, thus data consumers are assured of the quality and validity of the data.
  • AutoCatalog: Automates how data is discovered and classified to maintain a real-time catalog of data assets and their relationships across disparate data landscapes. A critical capability of the intelligent data fabric within the platform, AutoCatalog helps overcome the challenges faced by managing a complex hybrid and multicloud enterprise data landscape and helps ensure that data consumers can easily find and access the right data, at the right time, regardless of location.
  • AutoPrivacy: Employs AI to intelligently automate the identification, monitoring and, subsequently, the enforcement of policies on sensitive data across the organization. AutoPrivacy is a key aspect of the universal data privacy framework available within IBM Cloud Pak for Data. Spanning the entire data and AI lifecycle, this framework allows business leaders to provide the self-service access data consumers need without sacrificing security or compliance. Build a better strategy for governance risk and compliance by eliminating compliance “blindspots” and minimizing risk.

Learn more

Learn more about the new updates and enhancements to IBM Cloud Pak for Data by taking a look at the product brief or by reading the Hurwitz report – “Why smart businesses are looking at a data fabric approach to become more data driven” — and be sure to watch our THINK session on-demand

More from Announcements

IBM and SAP unlock business and industry value with new generative AI solutions 

3 min read - IBM Consulting is delivering on our commitment to co-innovate with SAP and collaborate with our clients. As part of our Value Generation Partnership initiative announced earlier this month with SAP, we are releasing the first 10 of 100 planned AI solutions to help clients transform their industries, optimize their business processes and successfully deliver their SAP programs.  Delivering AI business and industry innovation at scale  With the recently announced Value Generation Partnership initiative, IBM and SAP are co-innovating intelligent industry…

IBM SevOne 7.0: Reaching application-centric multicloud network observability  

2 min read - As enterprises increasingly rely on network connectivity to support cloud-based applications and remote workers, network managers require new methods to monitor and safeguard connectivity across diverse environments, including corporate networks, software-defined WANs and multiple public cloud providers.   According to the recent EMA Network Megatrends Report, responding network professionals believe that 53% of network outages and performance issues could be prevented with improved network management tools, yet only 9% find it very easy to hire skilled networking personnel. This is why…

IBM Hybrid Cloud Mesh and Red Hat Service Interconnect: A new era of app-centric connectivity 

2 min read - To meet customer demands, applications are expected to be performing at their best at all times. Simultaneously, applications need to be flexible and cost effective, and therefore supported by an underlying infrastructure that is equally reliant, performant and secure as the applications themselves.   Easier said than done. According to EMA's 2024 Network Management Megatrends report only 42% of responding IT professionals would rate their network operations as successful.   In this era of hyper-distributed infrastructure where our users, apps, and data…

IBM Newsletters

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