Kyndryl Readiness Report, Precisely and Matillion Partnership, and more

Kyndryl Readiness Report reveals misalignment between infrastructure investment and preparedness for converging modernization demands

Kyndryl has released findings from its 2025-2026 Security and Networks Snapshot within the Kyndryl Readiness Report. The research shows that while organizations are increasing investments in next-generation infrastructure, many remain underprepared to address the combined impact of quantum computing, evolving data sovereignty requirements, and aging network environments.

“Quantum threats, evolving data sovereignty rules, and aging networks are not separate challenges; they are connected pressure points on the same system,” said Paul Savill, Global Practice Leader, Cyber Security and Resiliency, Network and Edge, Kyndryl. “In the AI era, organizations engineered for agility, sovereignty awareness, and quantum readiness will not only reduce risk, but also build the trust required to fuel innovation.”

The report highlights that isolated approaches to quantum readiness, sovereignty-aware architecture, and network modernization result in gaps between these domains that create operational blind spots and limit the resilience required to scale AI-driven business operations.

Key findings from the report include:

• Quantum risk is rising faster than preparedness. While 62% of organizations report investing in quantum technologies, only 4% of leaders see quantum as the most impactful near-term technology. At the same time, 20% worry current quantum investments may not deliver short-term ROI. This misalignment increases exposure to “harvest now, decrypt later” attacks, making post-quantum cryptography planning an immediate executive priority.
• Data sovereignty is redrawing the enterprise architecture landscape. As governments tighten rules around data location and access, digital sovereignty is becoming a design constraint rather than a compliance afterthought. Eighty-four percent of leaders say data sovereignty and repatriation regulations have grown more important in the past year, while 86% say regulatory alignment of cloud providers is increasingly critical.
• Legacy networks are limiting next-generation AI. AI-driven operations depend on uninterrupted, high-quality data flows, yet many networks are aging. Twenty-five percent of mission-critical networks, storage, and servers are at end-of-service, and 20% of leaders say networks are a primary barrier to scaling recent technology investments. Despite heavy investment, only 37% believe their network infrastructure is ready for future risks.

The findings, based on insights from 3,700 business and technology leaders across 21 countries, underscore a widening gap between where enterprises are investing and how prepared their core infrastructure is to manage emerging threats in a complex and increasingly regulated global environment.

Source: Kyndryl

Precisely and Matillion Partner to Accelerate Data Modernization and Agentic AI Readiness

Precisely has announced an OEM partnership with Matillion to add cloud-native ETL capabilities to the Precisely Data Integrity Suite. The integration enables organizations to move, transform, and prepare data within a unified platform, reducing reliance on fragmented tools and manual processes. By combining Matillion’s transformation capabilities with Precisely’s strengths in data integration, quality, governance, and enrichment, the offering aims to accelerate data modernization and deliver AI-ready data for enterprise analytics, automation, and AI initiatives.

Data transformation remains one of the most complex and time-consuming steps in building data pipelines. Organizations manage data across highly complex environments, including on-premises systems, cloud platforms, and SaaS applications, where inconsistent formats and structures require extensive preparation before implementation.

Embedded directly within the Precisely Data Integrity Suite, ETL powered by Matillion enables users to extract data from multiple sources, transform it into usable formats, and deliver it to the systems that drive business outcomes, thereby reducing pipeline fragmentation and operational overhead.

“Matillion helps organizations move faster by simplifying and accelerating transformation workflows,” said Tim O’Neil, Chief Revenue Officer at Matillion. “Powered by embedded Matillion cloud-native transformation technology, Precisely combines modern pipeline execution with enterprise-grade data integrity, enabling customers to build scalable pipelines more efficiently and unlock greater value from their data.”

ETL powered by Matillion supports modernization efforts by enabling:

• Low-code, cloud-native ETL/ELT for rapid pipeline development
• Scalable data transformation across hybrid and multi-cloud environments
• Faster time-to-insight for analytics and reporting
• Trusted data foundations for AI and advanced decision-making
• Reduced complexity through unified integration workflows

By integrating ETL into the Data Integrity Suite’s business-friendly user experience with other services such as Data Quality, Data Governance, Data Enrichment, and Spatial Analytics, Precisely and Matillion provide organizations with a streamlined approach to modernizing infrastructure, operationalizing analytics, and preparing for AI-driven innovation.

Source: Precisely

IBM Completes Acquisition of Confluent, Making Real Time Data the Engine of Enterprise AI and Agents

IBM has announced the completed acquisition of Confluent, combining IBM’s platform capabilities with Confluent’s real-time data streaming used by more than 6,500 enterprises. The joint offering is positioned as a unified data platform to deliver trusted, real-time data to AI models, agents, and automated workflows across hybrid and on-premises environments.

As organizations move from AI pilots to production, access to clean, governed, continuously updated data remains a key challenge, with much enterprise data still siloed and delayed. IBM and Confluent aim to address this by providing a real-time data foundation that enables AI systems to operate with speed, context, and governance at scale, supporting the growing demand for always-available, trusted data across environments.

“Transactions happen in milliseconds, and AI decisions need to happen just as fast. With Confluent, we are giving clients the ability to move trusted data continuously across their entire operation so their AI models and agents can act on what is happening right now, not on data that is “ahours old” said Rob Thomas, Senior Vice President, IBM Software and Chief Commercial Officer.

Built on Apache Kafka®, the standard for data streaming, Confluent is already embedded in the operational fabric of the world’s largest enterprises, with a customer base that spans industries from financial services and healthcare to manufacturing and retail.

• Michelin relies on Confluent to manage real-time inventory across a supply chain spanning 170 countries — achieving 35% cost savings without sacrificing visibility or control.
• L’Oréal uses Confluent to stream real-time product and inventory updates across internal systems and third-party applications, helping the company respond faster to changing consumer demand.
• BMW Group streams IoT data from 30+ production sites and its global sales network in real time, connecting factory floor systems and cloud applications across the organization.
• Ticketmaster streams ticket inventory, sales, and customer activity in real time across hundreds of systems, reducing development friction and powering machine learning at scale.

“Since our founding, Confluent’s mission has been to set the world’s data in motion, making data streaming as foundational to the enterprise as the database. Joining IBM allows us to accelerate that mission at a much greater scale,” said Jay Kreps, CEO and Co-founder of Confluent. 

Source: IBM

OpenLegacy Launches Integrated Platform for Agile Mainframe Modernization, Supported by AWS

OpenLegacy has introduced OpenLegacy Hub, a modernization platform built on and integrated with Amazon Web Services, designed to help enterprises modernize mainframe and legacy applications incrementally without downtime. The platform offers a lower-risk alternative to traditional “big-bang” migrations, enabling execution-driven modernization.

With this integrated platform on AWS, OpenLegacy delivers a unified modernization approach featuring:

• Incremental Modernization: Systematically migrating core business logic from COBOL, CICS, IMS, VSAM, RPG, and IBM-i systems to AWS-native services including AWS Transform, Amazon Bedrock, AWS Lambda, and Amazon Elastic Kubernetes Service (Amazon EKS).
• Risk-Free Coexistence: Enabling legacy and cloud systems to operate in parallel, ensuring continuous business operations and providing a permanent safety net throughout the transition
• AI-Ready Architecture: Rapidly exposing legacy data and business logic as high-performance microservices to support AWS generative AI and machine learning initiatives
• OpenLegacy’s platform abstracts critical legacy dependencies and exposes them as secure APIs and event-driven services, enabling seamless interaction between AWS Cloud services and existing systems of record. This approach allows enterprises to validate system behavior in production environments, significantly reduce migration risk, and deliver measurable business value within weeks rather than months or years.

Technology Integration and Benefits OpenLegacy Hub eliminates the need for heavy middleware layers, reduces operational complexity, and leverages AWS generative AI services to automate critical processes, including code analysis, copybook mapping, and data transformation workflows.

AWS customers worldwide will have access to OpenLegacy solutions through AWS Marketplace, with planned integration into AWS Transform for Mainframe. The work being done together by OpenLegacy and AWS is particularly valuable for regulated industries that require the highest levels of reliability, security, and compliance during modernization initiatives.

Source: PR Newswire