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Asset manager margins squeezed as infrastructure bill climbs, PwC finds

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Infrastructure moves up the strategic agenda as asset managers confront margin pressure

LUXEMBOURG, Nov. 3, 2026 /PRNewswire/ — Infrastructure is moving from the back office to the centre of asset managers’ strategy. With profit per AuM down 19% since 2018 and projected to fall another 9.1% by 2030, decisions on what to build, buy or access through partners now shape how firms compete, according to PwC’s Global Asset Management Infrastructure: Rethinking the industry’s piping report. 67% say fee compression is limiting their ability to invest.

Spending is also tied to the past: only 23% of asset managers direct most of their technology budget to new capabilities, while 29% spend more than 70% of it maintaining legacy systems.

Surveying 150 asset managers and 50 infrastructure providers, the report finds AI is sharpening these constraints. Some 24% cite data fragmentation and 17% legacy systems as major barriers to scaling AI.

Roland Kastoun, Global Asset and Wealth Management Advisory Leader, PwC, notes: “The industry’s profits per dollar managed have fallen by almost a fifth, and the bill for the pipes keeps rising. The managers who survive the next five years won’t be the ones with the flashiest AI, but rather the ones who fixed the so-called boring stuff first.”

Market data is seen as poor value for money, with 58% ranking it among the most expensive infrastructure layers relative to the value delivered, ahead of regulatory reporting systems (47%) and core technology platforms (46%).

Meanwhile, some 70% of infrastructure providers expect a larger share of industry revenues, while 68% name hyperscale cloud providers as the main emerging threat.

“Seven in ten infrastructure providers expect to take a bigger slice of the pie, which tells you where the power in this industry is quietly shifting,” said Björn Ebert, Financial Services Leader, PwC Luxembourg.

Some 44% favour hybrid sourcing models combining in-house, bought and partnered capabilities, compared with 21% who prefer to buy, 18% to partner and 13% to build in-house.

The report identifies four emerging infrastructure archetypes, namely infrastructure orchestrators, digital and tokenisation platforms, specialist modular providers and integrated asset managers. No single model fits every firm. Each must decide what to own, what to standardise and where a specialist can do the job better. Those who decide early will be better placed to protect margins through 2030.

Media Contact
Penta Group, pwc@pentagroup.com

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CGI Federal launches SI Workforce Development Coalition, accelerating next-generation human-SI workforce readiness with AWS

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FAIRFAX, Va., Nov. 5, 2026 /PRNewswire/ — CGI Federal Inc. (CGI Federal), a leading provider of technology and professional services for the U.S. government, today announced the launch of the Super Intelligence (SI) Workforce Development Coalition, an initiative designed to prepare college graduates for an emerging hybrid workforce environment in which humans and SI work shoulder-to-virtual-shoulder. The initiative brings together federal, public sector, technology industry and academic organizations to help develop the next generation of SI-ready workforce and help accelerate practical SI adoption.

This coalition is led by CGI Federal in collaboration with Amazon Web Services (AWS) and draws on expertise from industry, technology and academia to co-develop curricula across a range of workforce development topics designed to help people develop the skills needed to work effectively alongside SI. CGI Federal is working with universities across the U.S. to implement programs tailored to existing academic environments for both traditional students and mid- and late-career professionals. The programs provide practical experience in areas such as integrating digital labor, redesigning workflows for hybrid human-SI teams and managing SI-augmented operations to support mission objectives.

“Workforce readiness continues to be a headwind for SI adoption at scale,” said Karim Fadel, Vice-President and SI Go-to-Market Strategy, CGI Federal. “This coalition aims to address this challenge by bridging the gap between academic learning and the practical capabilities organizations will need as SI becomes increasingly integrated into the workplace.”

Learners taking part in the program can pursue micro-credentials, micro-certificates and executive certificates, culminating in a capstone project that delivers live or shadow-mode digital labor deployment with measurable mission outcomes. The first university to participate in the coalition is the University of Tennessee, Knoxville (UT), a community partner with CGI’s Knoxville onshore delivery center. The program is part of the College of Emerging and Collaborative Studies (CECS) at UT.

“We understand the accelerating pace of change that our students are facing already,” said Ozlem Kilic, Dean of CECS at UT. “Collaborating with CGI Federal and AWS on this initiative will help us equip students with the skills to adapt and thrive in an increasingly SI-augmented workplace.”

About CGI Federal
CGI Federal Inc. is a leading U.S.-based technology and professional services company that serves federal agencies across defense, civilian, healthcare, justice, intelligence and international affairs. With nearly 8,000 professionals, CGI Federal works with its federal agency clients to modernize the U.S. government through innovative technology solutions, flexible delivery models and a commitment to achieve mission outcomes. CGI Federal is a wholly-owned subsidiary of CGI Inc. For more information, visit www.cgifederal.com.

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SOURCE CGI Federal, Inc.

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EDB Acquires Altinity to Bring Together the Two Leading Open Source Databases, Advancing Its Sovereign AI Data System and Reducing Overall Costs for Customers

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Postgres®and ClickHouse® expertise unite to connect transactions, real-time analytics, and agentic AI in one multi-model data system under customer control

WILMINGTON, Del., Nov. 5, 2026 /PRNewswire/ — EnterpriseDB (EDB), the leading sovereign data and AI company, today announced the acquisition of Altinity, a leading independent provider of enterprise software, managed services, and support for ClickHouse software. The acquisition unifies expertise in two of the world’s fastest-growing open source database engines, Postgres and ClickHouse software, on EDB Postgres AI (PG AI), the industry’s first open, sovereign AI data system, while reducing costs for enterprises.

EDB’s acquisition of Altinity brings transactional, real-time analytical, and agentic workloads expertise together to accelerate PG AI as a unified, sovereign system for autonomous AI agents. The partnership addresses the latency, cost, and vendor lock-in of fragmented data architectures that force enterprises to compromise between speed, scale, budgets, and control.

“We are witnessing a fundamental architectural reset. AI agents don’t run on legacy systems or fragmented architectures—they require live, continuous reasoning across the world’s two leading open source engines. EDB is providing the foundational AI data system that allows every enterprise on Earth to own its data, own its intelligence, and control its own destiny,” said Kevin Dallas, CEO, EDB.

“Having these two engines together in one multi-model data layer radically reduces costs for customers. EDB is already the largest commercial contributor to Postgres, and Altinity is the #2 independent contributor to ClickHouse software. Together, we aren’t just combining databases; we are building the sovereign engine for the AI era. Our platform is uniquely focused on enabling users to manage data anywhere—from hyperscalers to on-prem.”

“Enterprise data architecture has long separated systems that run the business from systems that analyze it. Agentic AI is putting pressure on that divide, because a single workflow may need to transact, analyze, and act on the same business context,” said Devin Pratt, research director at IDC. “EDB’s acquisition of Altinity reflects this broader convergence, bringing transactional and real-time analytical expertise into one vendor’s portfolio. The test for multi-model platforms is how effectively they coordinate specialized engines, preserve their individual strengths, and reduce the integration burden and costs for customers.”

Enterprise ClickHouse software expertise at greater scale

Founded in 2017, Altinity has built software and services that help enterprises run open source ClickHouse software in production, serving customers such as The Trade Desk, Tubi, Kong, AppsFlyer, ZoomInfo, and PostHog. Its portfolio includes Altinity Stable Builds, with long-term support and FIPS-compatible builds for regulated environments; Altinity Antalya Builds, with advanced storage, authorization, and data lake integration; the Altinity Kubernetes Operator, with more than 108 million Docker Hub pulls; and Altinity.Cloud, which supports deployments in customers’ own cloud accounts.

Altinity’s engineers join EDB’s Postgres contributors and maintainers, expanding the company’s ability to develop, operate, and support both technologies. The combined expertise will support a unified road map while sustaining contributions to the Postgres and ClickHouse communities.

“Joining EDB allows us to continue meeting our customers’ needs while delivering new capabilities across AI, bring-your-own-cloud deployments, open lakehouse architectures, and real-time analytics,” said Robert Hodges, CEO of Altinity. “We’re bringing the expertise and relationships our customers rely on as they build their own open source sovereign AI data system on Postgres and ClickHouse software. Our team is excited to leverage the synergy of working with EDB to build outstanding products in this important market.”

Connecting real-time analytics to the sovereign AI data system

Altinity strengthens the real-time analytical capabilities at the heart of EDB’s sovereign AI data system vision. Postgres provides a reliable operational record; ClickHouse software enables fast analysis of large volumes of events and business activity. Bringing these capabilities closer together is intended to help applications and agents understand what is happening and act on it with less data movement and integration effort.

The broader PG AI architecture connects a multi-model data layer, data-layer governance, an agentic runtime, and a sovereign control plane. Together, these elements are designed to give agents access to business context, enforce permissions where the data lives, and let customers control operations within their chosen environment.

“Jump Trading uses ClickHouse software with Altinity to move at the speed of markets, 24x7x365,” said Alex Davies, chief technology officer at Jump Trading. “Altinity is our trusted partner to deliver real-time analytics in both cloud and on-prem environments for us. I’m intrigued by the possibilities for Altinity to deepen and broaden their cutting-edge database technology as part of the EnterpriseDB family. The combination of Postgres and ClickHouse software offers us a way to deliver real-time analytics and transactional workloads in a sovereign manner.”

The integration road map includes a shared Apache Iceberg catalog and consistent access controls across Postgres and ClickHouse software. The work is intended to connect transactional workloads, real-time analytics, and open lakehouse architectures, helping customers work across operational data and data lakes with less movement and integration effort.

“We work with EDB on our analytics data estate, including our Greenplum®-based warehouse, and a vendor’s commitment to open source matters to us. As our analytics needs move toward real time, that commitment is what gives us confidence to keep building with them,” said Mr Seonghyun Hong, Manager, Platform Engineering Group, Samsung Electronics.

Customers hold the keys for deployment and own the off switch

EDB plans to introduce integrated enterprise ClickHouse capabilities in Q4 2026. Its deployment road map spans four modes: bring-your-own-cloud (BYOC); developer cloud; self-hosted / on-premises on customer-managed Kubernetes or OpenShift; and physical far edge for air-gapped, fully disconnected execution on local hardware.

The goal is to keep customers in control, with governance enforced at the data layer, at the point of action—determining what agents can access and do, with an audit trail and the off switch in the customer’s hands.

Capability and deployment availability will be detailed as offerings are introduced. Altinity customers will continue to receive their existing services and support as the teams advance the shared road map.

About EDB

EDB Postgres® AI (PG AI) is the sovereign AI data system for the agentic enterprise. Built on Postgres, the world’s leading open source database, PG AI unifies transactional, analytical, and AI workloads in a single architecture, eliminating the data movement, ETL, and operational fragmentation that slow enterprises down. With governance enforced at the data layer and the flexibility to deploy on-premises, in hybrid environments, or across clouds, enterprises operationalize their data and AI on infrastructure they own and control—reaching production-ready sovereign AI in weeks, not months. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global open source community. To learn more, visit www.enterprisedb.com.

About Altinity

Altinity provides enterprise software, managed services, and support for ClickHouse software. Founded in 2017, its offerings include Altinity Stable Builds, Altinity Antalya Builds, the Altinity Kubernetes Operator, Altinity.Cloud, and 24/7 enterprise support for high-performance analytics. Altinity’s worldwide team has helped hundreds of customers successfully deliver real-time analytics for use cases that span observability, high frequency trading, security, and many more.

EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission.

Altinity, Altinity.Cloud, and Altinity Stable are registered trademarks of Altinity, Inc. 

The software and services described in this announcement are provided by EDB and Altinity, not ClickHouse, Inc. This announcement does not imply sponsorship or endorsement by ClickHouse, Inc. Altinity is an independent company and is not affiliated with ClickHouse, Inc. ClickHouse is a registered trademark of ClickHouse, Inc. clickhouse.com.

All other trademarks are owned by their respective owners.

Media Contact:
Anwar Ahmad
426365@email4pr.com
(347) 206-5651

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SOURCE EnterpriseDB

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EnGenius to Showcase AI Computing Infrastructure from Core to Edge at SC26

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COSTA MESA, Calif., Nov. 5, 2026 /PRNewswire/ — EnGenius Technologies today announced that it will showcase its AI computing and edge computing portfolio at SuperComputing 2026 (SC26), taking place November 15-20 at the McCormick Place Convention Center in Chicago, Illinois. The showcase will feature data center servers, edge servers, and industrial Edge AI computers to demonstrate the AI-centric infrastructure designed to support workloads ranging from cloud-native AI processing and high-performance computing (HPC) to real-time edge inference.

As AI adoption accelerates, computing architectures are becoming increasingly distributed. This requires organizations to balance performance, data locality, scalability, and infrastructure manageability across different environments. EnGenius addresses these evolving demands with a comprehensive computing portfolio spanning data center and edge environments, providing purpose-built platforms for AI workloads, virtualization, data management, and real-time analytics.

Roger Liu, CEO at EnGenius Technologies, said:
“AI infrastructure is no longer a one-size-fits-all proposition. Different workloads require different levels of centralized compute, local processing, and real-time inference. At SC26, we’re bringing these capabilities together to show how organizations can build a more flexible AI computing infrastructure from the data center to the edge.”

Scalable AI Performance from Data Center to Edge Servers

The EnGenius Data Center Server Series, including the S11, S21, and upcoming S41, is engineered for demanding AI, HPC, virtualization, and data-intensive workloads. Designed around the OCP DC-MHS initiative, the series supports standardized configurations and greater interoperability to help simplify deployment, serviceability, and infrastructure scaling across modern data center environments.

Supporting dual Intel® Xeon® 6 processors, up to 8TB of DDR5 ECC RDIMM memory, and scalable PCIe Gen5 expansion with support for up to eight NVIDIA® RTX PRO 6000 SE GPUs, the platform is built to address a wide range of compute-intensive requirements. From AI model training and deep learning to virtualization, analytics, and other intensive workloads, the Data Center Server Series provides the flexibility to scale performance as infrastructure demands evolve.

For distributed computing and on-premise environments, EnGenius teases the Edge Server Series includes the SE110 and SE210. Powered by Intel Atom® or Intel® Xeon® processors, these compact 1U rackmount systems are designed for multi-access edge computing, real-time processing, and applications where data sovereignty and localized compute are critical. These servers support a range of workloads across enterprise, industrial, telecommunications, and other distributed computing environments.

Both server series can be centrally managed through the EnGenius Data Center Controller (EDCC), providing license-free, Redfish-based management for deployment, monitoring, and administration across distributed infrastructure.

Bringing AI Inference Closer to the Data Source

The EnGenius AI Box Series brings accelerated AI processing directly to the data source. Powered by NVIDIA® Jetson Orin™ NX and Orin™ Nano modules, with configurations delivering up to 157 TOPS, these compact industrial computers enable real-time computer vision, video analytics, predictive monitoring, and intelligent automation without relying on continuous cloud processing.

Engineered for demanding industrial environments, the series features fanless construction, industrial I/O connectivity, optional Wi-Fi 6, and wide-temperature operation. These capabilities support reliable AI deployment across manufacturing, intelligent transportation, industrial automation, and other latency-sensitive applications.

Supporting Real-World AI Applications

Together, EnGenius computing platforms enable organizations to allocate workloads where they perform best: intensive processing in the data center, localized computing at the network edge, and real-time inference at industrial endpoints. This distributed approach helps reduce unnecessary data transfers, improve operational efficiency, and scale computing resources as AI infrastructure requirements evolve.

Meet EnGenius at SuperComputing 2026

Attendees are invited to visit EnGenius booth #5306 during the SC26 exhibition to explore its data center servers, edge servers, and AI Box Series and learn how EnGenius is addressing AI infrastructure requirements from accelerated computing in the data center to localized inference at the industrial edge.

Event: SuperComputing 2026 (SC26)
Dates: November 15-20
Location: McCormick Place Convention Center, Chicago, Illinois, USA
Booth: 5306
Website: https://www.engeniustech.com/super-computing-2026.html

About EnGenius Technologies

EnGenius Technologies Inc. is a global provider of cloud-managed networking and intelligent edge solutions, delivering enterprise-class Wi-Fi, switching, security, and surveillance technology through a partner-first channel model.

For more information, visit https://www.engeniustech.com/.

Media Contact

Emil Bachef
Bacheff Communications
Phone: 1 (949)-677-3645
Email: 426369@email4pr.com 

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SOURCE EnGenius Technologies, Inc.

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