In Hardware and Network news this week…

Zoho Enters Hardware Layer to Combat Soaring Cloud Infrastructure Costs
Zoho is expanding beyond software and into hardware infrastructure as part of its strategy to reduce rising cloud computing costs. By investing in greater control over its infrastructure stack, the company aims to improve efficiency, optimize performance, and reduce dependency on external cloud providers. The move reflects a growing trend among technology companies seeking more control over infrastructure economics.

In Business Technology news this week…

Pega Launches Solution Designer Initiative for Enterprise AI
Pegasystems has introduced its Solution Designer initiative to help enterprises accelerate AI adoption and implementation. The program focuses on enabling organizations to design, deploy, and scale AI-powered workflows more effectively. As enterprises seek practical AI outcomes, structured implementation frameworks are becoming increasingly valuable.

In Cloud Security news this week…

Zscaler Expands Zero Trust SASE Platform to Automate Enterprise Security Administration
Zscaler has enhanced its Zero Trust SASE platform with new automation capabilities designed to simplify enterprise security administration. The updates help organizations streamline policy management, improve visibility, and reduce operational complexity. As cyber threats become more sophisticated, automation is playing an increasingly important role in security operations.

In Artificial Intelligence news this week…

NVIDIA and LG Group Partner to Build Advanced AI Factories
NVIDIA and LG Group have partnered to develop advanced AI factories designed to support next-generation manufacturing and industrial automation. By combining AI infrastructure with operational expertise, the collaboration aims to improve productivity, efficiency, and innovation across industrial environments. This reflects the growing influence of AI in modern manufacturing.

In FinTech news this week…

Visa and OpenAI Form Strategic Alliance to Pioneer Secure Agentic AI Commerce
Visa and OpenAI have announced a strategic alliance focused on enabling secure agentic AI commerce. The partnership aims to create trusted frameworks that allow AI agents to participate in purchasing and payment workflows while maintaining security and compliance. This development signals the emergence of AI-driven commerce ecosystems.

In HealthTech news this week…

Dassault Systèmes and PariSanté Campus Unite to Fuel European Sovereign Health Tech
Dassault Systèmes and PariSanté Campus have joined forces to strengthen Europe’s sovereign health technology ecosystem. The collaboration focuses on fostering innovation, supporting digital healthcare initiatives, and enhancing technological independence within the region. This highlights the increasing importance of digital sovereignty in healthcare innovation.

In IT & DevOps news this week…

GitLab and Google Cloud Bring Data Sovereignty to Agentic DevSecOps
GitLab and Google Cloud are collaborating to bring enhanced data sovereignty capabilities to agentic DevSecOps environments. The initiative helps organizations maintain greater control over sensitive development data while leveraging AI-powered software delivery processes. As enterprises adopt AI-driven development workflows, sovereignty and compliance remain critical considerations.

Article of the Week

Best Practices for Cloud Migration and Modernization: A Strategic Roadmap for Enterprise Success
Cloud migration has evolved from a technology project into a business transformation initiative. Organizations pursuing modernization must balance cost optimization, security, scalability, and operational efficiency while minimizing disruption. Successful cloud strategies require careful planning, application assessment, governance frameworks, and continuous optimization. As enterprises increasingly adopt hybrid and multi-cloud environments, a structured migration roadmap is essential for achieving long-term agility, innovation, and competitive advantage.

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Also Read: IBM Pledges $10 Billion to Accelerate Fault-Tolerant Quantum Computing

Highlighting the strategic benefits for the financial sector, Lori Beer, global chief information officer of JPMorganChase, added, “The financial services industry depends on understanding complexity, managing risk and making decisions with speed, security and confidence. Through this partnership, our teams will have a dedicated environment to research the near-term utility of hybrid quantum-classical computing in finance and assess how quantum, AI and high-performance computing can work together to address real-world challenges.” Supporting this infrastructure view, Mark Papermaster, executive vice president and chief technology officer at AMD, noted, “Advancing quantum-AI research will require tightly integrated compute platforms that bring together quantum systems, AI infrastructure and high-performance classical computing. AMD is pleased to support OQC and its dedicated environment, which will explore hybrid quantum-AI workflows for financial services and evaluate their performance, scalability and reproducibility in a secure enterprise setting.” Ultimately, this venture marks a definitive transition from theoretical, isolated quantum experimentation into scalable, secure, and production-ready enterprise workflows.

Read More: OQC, JPMorganChase and AMD Commence Research Collaboration to Develop New Quantum-AI Platform in London

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“This is a historic moment for quantum computing,” said Dr. Ben Bloom, CEO and Founder of Atom Computing. “Today, we have shown that practical quantum error correction can be achieved with our neutral-atom technology. This is the clearest demonstration yet that neutral atoms are highly competitive with superconducting systems and other approaches for building scalable logical qubits. We’ve reached this milestone faster and with greater capital efficiency than larger players in the industry, and we’re excited to build on this progress and share more results later this year.”

Quantum error correction is essential to unlocking the full potential of quantum computing. Quantum systems are sensitive to noise and errors, which must be detected and corrected repeatedly across many rounds of operations to ensure reliable results. A key requirement for effective error correction is that the error rates of logical qubits decrease as the system scales up. Atom Computing’s results demonstrate that its neutral-atom systems meet this requirement, accelerating the path to utility-scale quantum computing.

Also Read: Quantinuum Signs MOU with Mitsubishi Electric to Launch Strategic Quantum Computing Partnership 

Atom Computing’s unique architecture and proprietary technologies were critical to achieving these results. For example, its ability to dynamically rearrange qubits enables all-to-all connectivity, removing the constraints of fixed hardware layouts found in other modalities. The system’s zoned architecture supports highly parallelized operations enabling faster overall computation, and Atom’s nuclear-spin qubits exhibit record-breaking coherence times, which are essential for running deep, complex algorithms. Together, these features enable fast algorithm execution and greater flexibility in algorithm design, crucial to achieving this milestone in neutral atom computing.

“This looks like exciting progress toward fault-tolerance for neutral-atom quantum computers specifically, in repeatedly refreshing the atoms in a way that preserves the logical information. Congratulations to Atom Computing on its accomplishment,” said Dr. Scott Aaronson, Professor of Computer Science at the University of Texas at Austin and Director of its Quantum Information Center.

The technical achievement directly supports Atom Computing‘s expanding commercial footprint. Last year, the company sold the world’s first commercial quantum computer with logical qubits to QuNorth, a Nordic quantum initiative funded by EIFO and the Novo Nordisk Foundation. Currently being installed in partnership with Microsoft, the on-premises quantum system, Magne, is paving the way for advanced regional collaborations.

“Demonstrations like this of increased fidelities through quantum error correction are important proof points that we’re on the right trajectory toward utility‑scale quantum systems,” said Dr. Matthias Troyer, Technical Fellow and Corporate Vice President at Microsoft Quantum. “Microsoft is proud to partner with Atom Computing to bring even greater capability to QuNorth and the Nordic quantum ecosystem through Magne.”

Source: PRNewswire

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Walrus Memory enables agents to carry context across apps, sessions, and workflows without being tied to a single provider or runtime. Memories are encrypted by default, with programmable access permissions that determine how memory can be shared across agents and systems. The platform also supports coordinated multi-agent workflows through shared memory spaces, while built-in verifiability allows agents to confirm the integrity of the data they act on.

“Memory is one of the most critical bottlenecks in AI today,” said Kostas Chalkias, Co-Founder and Chief Cryptographer at Mysten Labs, the original contributor to Walrus. “Most agent memory lives locked inside platforms. Walrus Memory changes this. It puts builders in control and lets agents move and collaborate across different services. This is such an important foundation for the agentic future we all see coming.”

Also Read: Semarchy Launches Snowflake Connected App for Governed Data Products and Enterprise AI

The platform launches with native integrations and tooling that will allow developers to add portable memory to existing agent workflows, including:

• Claude, ChatGPT, Gemini and other leading AI platforms
• Direct plugins for OpenClaw and NemoClaw
• Native MCP Support
• SDKs for Python and TypeScript

At launch, Walrus Memory is being utilized by multiple Walrus partners and blockchain-native organizations, including Allium, Conso Labs, Inflectiv, OpenGradient, Talus Labs and Tatum.

“Portable memory across AI systems is a huge unlock. Engineers already bounce between OpenAI, Anthropic, and Gemini, and switching between platforms means rebuilding context from scratch. Walrus Memory is helping make persistent, portable context a foundational piece of AI infrastructure.” – Ethan Chan, Co-Founder and CEO, Allium

Source: PRNewswire

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Also Read: IBM and U.S. Commerce Department Launch America’s First Purpose-Built Quantum Foundry

The company also highlighted progress toward its IBM Quantum Starling and Blue Jay systems, which are expected to significantly expand computational capabilities. Commenting on the announcement, Arvind Krishna, Chairman & CEO, IBM, said, “The quantum era is no longer ahead of us, it has started. Our clients, partners and users around the world are tapping into IBM quantum computers to do work that was impossible a few years ago. The pace of discovery with quantum computers is accelerating rapidly and this investment powers our ability to deliver the next generation of quantum hardware, software, and manufacturing.”

Read More: IBM Commits More Than $10 Billion to Quantum Computing, Funding Its Roadmap from Today’s Leading Systems to the World’s First Fault-Tolerant Quantum Computers

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The SDP Connected App is a self-managed deployment of the Semarchy Data Platform designed for enterprises creating, governing and delivering trusted data products directly within Snowflake. The offering tightly integrates with the Snowflake ecosystem to help organizations operationalize DataOps initiatives, streamline AI-driven data management and accelerate the delivery of governed data products while maintaining data residency and governance within their Snowflake environment.

Semarchy announced its MDM native application for Snowflake last year and has since seen growing customer adoption across industries and geographies.

“Enterprise AI only works when it’s built on trusted data, but trust alone isn’t enough. AI needs context and meaning to reason correctly. Semarchy’s governed data products deliver both, certified master data with semantic understanding embedded directly into the data product, not bolted on after the fact,” said Craig Gravina, Chief Technology Officer at Semarchy. “With the SDP Connected App, this entire capability runs inside the customer’s Snowflake ecosystem. Native integration with Cortex AI powers semantic matching, enrichment, and validation within the certification lifecycle, while integration with Snowflake CoCo (formerly Cortex Code) accelerates DataOps delivery, enabling teams to build, govern, and evolve data products at scale. Zero egress, zero external infrastructure.”

Also Read: Narrative Reimagines the Marketplace: A Composable Hub for Data and AI Work

The SDP Connected App enables joint customers to:

• Maintain zero data egress by keeping processing, storage and consumption within the Snowflake tenant
• Accelerate development with AI Data Engineering — Semarchy’s Agentic Design works seamlessly with Snowflake CoCo enabling a unified development environment
• Invoke Cortex AI natively for semantic matching, enrichment and validation within the governed certification lifecycle
• Deliver governed data products to Cortex AI agents through MCP endpoints with certified golden records and semantic context
• Support AI, analytics, Customer 360 and regulatory initiatives with governed enterprise data products

“Organizations building modern data and AI strategies on Snowflake need trusted, governed data that can be operationalized across the enterprise,” said Prabhath Nanisetty, Global Industry Leader for Technology and AI at Snowflake. “Semarchy’s SDP Connected App is designed to help customers implement master data management directly within their Snowflake environment, which will enable them to accelerate DataOps initiatives, improve data trust and deliver governed data products for analytics and AI workloads.”

Source: BusinessWire

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The agreement creates a foundation for the companies to jointly identify high-impact industrial use cases and explore quantum and hybrid quantum-classical approaches for next-generation engineering workflows. Expected initial areas of focus include computer-aided engineering (CAE), such as computational fluid dynamics (CFD), and broader simulation and design applications utilizing logical qubit operations on Quantinuum’s quantum platform.

“We are pleased to begin this collaboration with Mitsubishi Electric as we work toward meaningful quantum utility to industrial engineering,” said Dr. Rajeeb Hazra, President and CEO of Quantinuum. “By combining Quantinuum’s leading quantum computing capabilities with Mitsubishi Electric’s deep engineering expertise, we aim to address some of the world’s most complex design and simulation challenges.”

Also Read: Quantinuum and bp Collaborate Towards Solving Fundamental Wave Physics Challenges with Quantum Computing 

Under the envisaged partnership, Quantinuum would provide Mitsubishi Electric with access to its high-fidelity trapped-ion quantum systems and expert consultation on quantum algorithm development. Mitsubishi Electric would contribute domain expertise in electromagnetic field analysis, structural analysis, and thermal fluid simulation across a wide range of industrial applications such as factory automation, energy and public utilities, air conditioning, and building systems.

“We are delighted to initiate discussions with Quantinuum to advance a strategic quantum computing partnership under this MOU,” said Mikio Takabayashi, Senior General Manager, Information Technology R&D Center of Mitsubishi Electric. “By integrating manufacturing expertise with digital insights, we aim to evaluate the feasibility and potential applications of quantum technologies in industrial engineering, while generating new ideas and exploring use cases that have the potential to contribute to society and the environment.”

The MOU reflects a shared recognition that near-term engagement with quantum computing may create long-term strategic advantages as the technology continues its advance toward commercial adoption. The companies believe that organizations that act early will be better positioned to help shape use cases, build proprietary expertise and secure intellectual property rights, and help secure access to emerging quantum infrastructure and amid growing demand.

Through the MOU, the companies will evaluate opportunities for future collaboration that have the potential to accelerate technological innovation and create sustained value for global industry.

Source: PRNewswire

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In Hardware and Network news this week…

Lightera and Nokia Partner to Expand Optical LAN Deployment Across Europe
Lightera and Nokia have partnered to accelerate the deployment of optical LAN infrastructure across Europe. The collaboration aims to provide enterprises with scalable, energy-efficient, and high-performance connectivity solutions. As organizations modernize network environments, optical LAN technology is emerging as a key enabler of next-generation digital infrastructure.

In Artificial Intelligence news this week…

Expert.ai and Fincons Expand Partnership to Advance Neuro-Symbolic AI Adoption
Expert.ai and Fincons Group are expanding their partnership to accelerate the adoption of neuro-symbolic AI solutions. By combining machine learning with symbolic reasoning, the collaboration aims to improve explainability, contextual understanding, and enterprise decision-making. This reflects the growing demand for more transparent and trustworthy AI systems.

In Cloud Security & Compliance news this week…

IBM Cloud Unveils Sovereignty Risk Profile to Strengthen AI and Data Compliance
IBM Cloud has introduced a Sovereignty Risk Profile solution designed to help enterprises address evolving AI and data compliance requirements. The offering provides organizations with deeper visibility into regulatory risks, data residency, and governance obligations. As global data regulations tighten, sovereign cloud strategies are becoming increasingly critical.

In Enterprise AI news this week…

Snowflake to Acquire Natoma to Strengthen Governance for Enterprise AI Agents
Snowflake has announced plans to acquire Natoma to strengthen governance and oversight for enterprise AI agents. The acquisition is aimed at helping organizations manage security, compliance, and operational control as AI agents become more autonomous. This highlights the growing importance of governance frameworks in enterprise AI adoption.

In Quantum Computing news this week…

Crypto4A Launches QXVault to Simplify Quantum-Safe Secrets Management
Crypto4A has launched QXVault, a platform designed to simplify quantum-safe secrets management. The solution helps organizations protect sensitive credentials and cryptographic assets against future quantum threats. As quantum computing advances, enterprises are increasingly investing in post-quantum security strategies to safeguard critical infrastructure.

In FinTech news this week…

OpenAI Unveils Self-Improving AI Tax Agents Powered by Codex
OpenAI has introduced self-improving AI tax agents powered by Codex to automate and optimize tax-related workflows. These AI agents are designed to continuously learn and adapt, improving efficiency and accuracy in financial operations. The development signals a growing shift toward autonomous AI systems in enterprise finance.

In HealthTech news this week…

JotPsych Launches JotMeet, an Integrated Telehealth Product
JotPsych has launched JotMeet, an integrated telehealth platform aimed at streamlining virtual care delivery. The solution combines communication, scheduling, and patient engagement tools to improve telemedicine experiences for healthcare providers and patients alike. This reflects the continued growth of digital healthcare services and remote care adoption.

In Cybersecurity news this week…

Proofpoint Expands AI Security Strategy with Claude Compliance API Integration
Proofpoint has expanded its AI security strategy through integration with the Claude Compliance API. The move enhances monitoring, governance, and compliance capabilities for enterprises using generative AI systems. As organizations deploy AI tools at scale, comprehensive security oversight is becoming a core enterprise requirement.

Article of the Week

Security Challenges for Smart Medical Devices in Hospitals: How Healthcare Providers Can Reduce Cyber Risk

Connected medical devices are transforming healthcare delivery, but they are also expanding the cyberattack surface for hospitals and healthcare providers. From patient monitoring systems to smart diagnostic tools, these devices often operate in highly sensitive environments with strict uptime requirements. To reduce cyber risk, healthcare organizations must adopt stronger security frameworks, continuous monitoring, device segmentation, and proactive threat management strategies. As digital healthcare ecosystems grow, securing smart medical infrastructure will remain a critical priority.

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The teams putting AI to work fastest are the ones building on composable foundations: data, models, runtimes, and workflows they own. They’re focused on components they can mix, swap, and recompose as the business changes, without locking themselves into any single vendor’s stack. That kind of optionality is what turns a data and AI strategy from a multi-year capital project into something a team can ship in weeks. Without it, the result is the now-familiar refrain heard in every data org: “We’re not ready for AI. Our data is a mess.”

The expanded Narrative Marketplace will remove that challenge. Every component a modern data and AI stack requires is listed in one place, ready to install in the customer’s own environment, composable into end-to-end workflows, and portable across runtimes.

Also Read: Boomi and Couchbase Partner to Accelerate Enterprise AI Agents at Scale

One hub. Every building block. Composable end-to-end.

The expanded Narrative Marketplace is bringing new components into one browsable hub:

• Data. First-, second-, and third-party datasets, normalized, raw, and ready to license; the original Narrative Data Marketplace.
• AI Skills. Pre-built, opinionated AI workflows that drop into the customer’s stack and run on the model of their choice. MCP-native and runtime-portable from day one.
• Connectors. Bi-directional data in and out of every major destination, from CRMs to ad platforms to cloud warehouses.
• Narrative Anywhere Providers. Turnkey deployment into Snowflake, AWS, and other cloud environments, so normalization, identity, and activation run where the customer’s data already lives.
• Packages. Curated bundles that solve a problem end-to-end. The Normalization package will be available first, with additional packages for identity, audience, and activation following.
• Workflows. Templated, composable automations for stitching together AI and data workloads without the need to write code.

Because the Marketplace is built on open standards, the components customers install are not tied to Narrative’s own runtime. AI Skills can run inside Narrative’s tool-calling harness or be distributed, and Narrative’s remote MCP server adds a third interface to Narrative — UI for humans, API for code, MCP for AI agents — letting Claude or any other MCP-compatible agent drive the same Narrative tools on the LLM of the customer’s choice. The customer picks the model and the harness; Narrative supplies the data and the tools.

Composable for real, not in name only

“Composable” has become a buzzword in enterprise software, but the existing options for composable AI are either single-vendor stacks dressed up in modular language or DIY open-source kits that leave every team rebuilding the same infrastructure. Narrative will enable every category of component an enterprise data and AI strategy needs on open standards, runnable on the customer’s existing cloud and AI infrastructure. Every piece visible. Every piece replaceable. Every decision a choice.

That matters more right now than ever. As the vendors customers depend on for identity, activation, and data infrastructure get acquired or repriced, the cost of vendor concentration is paid by the buyer in roadmap risk, contract risk, and lost optionality.

“Customers shouldn’t have to choose between speed, freedom, and ownership,” said Nick Jordan, Narrative Founder. “With this evolution, a CDO can stand up a composable identity strategy in a day with one ready-made package, and a data engineer can pull that same package apart tomorrow and recompose it for a different use case, all on infrastructure the customer owns.”

Source: PRNewswire

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