Efficient Computer, the company building the world’s most energy-efficient general-purpose processors, launched Efficient Labs, a collection of interactive, browser-based tools for engineers working with the Electron E1 general-purpose processor. Efficient Labs is built to get useful tools into customers’ hands quickly, learn from how they are used, and improve them fast.

“Developers build inside the toolchains they already know, and the best way to help them is to meet them there, with tools that remove friction instead of adding it,” said Brandon Lucia, CEO and Co-Founder of Efficient Computer. “Efficient Labs allows us to put genuinely useful tools in their hands quickly, learn from how they use them, and make them better. We are eager to see what developers build as the path from an idea to working code keeps getting shorter.”

Also Read: ScanSource Expands HPE Juniper Networking Partnership

For engineers, the tools target the everyday friction of embedded development. Instead of cross-referencing PDFs and datasheets, an engineer can open a board in the browser, click on a component, and see what they need. Each tool is meant to be simple, clear, and easy to use.

The first tools on Efficient Labs include:

• The Board Viewer, an interactive view of the Electron E1 Evaluation Kit (EVK) board. Its Wire-it-up feature lets an engineer pick a peripheral to connect and returns the exact pins to use, the switch settings, and copy-paste C code.
• The Pin Mapper, which makes assigning pins a drag-and-drop exercise and flags conflicts the moment they occur.
• The EVK Getting Started Guide, which walks an engineer through the process, from unboxing the board to running a first program.
• The Energy Profiler, which graphs power across every rail in real time and reports the energy cost of named regions of code, in millijoules.
• The Lifetime Modeler, a battery-life modeling tool that charts a device’s predicted energy use on Efficient’s processors.

Ideas traditionally constrained by a lack of developer resources can now be executed instantaneously with AI, giving non-engineers the ability to build and ship products, features, and tools. Efficient Labs reflects the utility of AI development, providing engineers with an enhanced ecosystem to evaluate and experiment with the Electron E1.

“For most of my career, getting an idea built meant writing requirements, earning buy-in, and getting it prioritized against everything else the company needed,” said Adam Kaufman, Director of Marketing at Efficient Computer. “AI collapsed the distance between having an idea and shipping something a customer can use. Efficient products are efficient, and now we bring that same efficiency to how we use our resources and our engineers’ time.”

Source: PRNewswire

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The partnership enhances ScanSource’s portfolio of networking, cybersecurity and AI-native enterprise solutions. With a solutions-led approach across vertical markets, and a diverse ecosystem of partner types and routes to market, ScanSource is uniquely positioned to introduce HPE Networking to net-new customer opportunities through ScanSource Launch Point, ScanSource’s strategic growth engine for technology offerings.

Also Read: Alaska Communications Appoints Courtland Madock as Chief Executive Officer

ScanSource Launch Point will accelerate HPE’s go-to-market efforts by offering tailored channel programs, marketing strategies, sales expertise and market-building capabilities. Additionally, it will provide HPE with unique opportunities to create new channels and drive demand through ScanSource’s strategic combination of technology partners, including value-added resellers (VARs), advisors, managed service providers (MSPs) and independent software vendors (ISVs).

By working with ScanSource and HPE, partners will have access to a proactive, AI-enabled cloud platform that automates, monitors and optimizes IT networks across wireless, wired and SD-WAN environments. Together, these capabilities enable partners to deliver more intelligent, scalable solutions to their end users.

“As HPE Aruba Networking’s first US distributor 19 years ago and a foundational channel partner, we have driven significant mutual growth together,” said Mark Morgan, President, Specialty Technologies, ScanSource. “This next phase builds on that strong foundation. Adding HPE Juniper Networking’s solutions to our line card further expands the reach of our networking practice and strengthens our networking and security infrastructure, enabling us to seamlessly connect solutions across the technologies we deliver. We’re excited for our partners to engage with our team, explore new opportunities and accelerate growth with these expanded offerings from HPE Juniper Networking.”

Source: Businesswire

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In Hardware and Network news this week…

AWS Optimizes Network Firewall Defaults to Eliminate Silent TCP Connection Drops
AWS has updated the default behavior of its Network Firewall to eliminate silent TCP connection drops, improving application reliability and network performance. The enhancement provides more predictable traffic handling while reducing connectivity issues for enterprise workloads. The update reinforces AWS’s focus on strengthening cloud networking resilience through continuous infrastructure improvements.

In Artificial Intelligence news this week…

Tavant Platform Launches to Accelerate Open Agentic Software Engineering
Tavant has introduced its new platform to accelerate open agentic software engineering by enabling AI-powered development workflows. The platform helps engineering teams automate coding, testing, and collaboration processes while supporting more intelligent software delivery. The launch reflects the industry’s growing shift toward AI-assisted software engineering.

In Cloud Computing & Mobility news this week…

Cloudflare Teams with Browsers to Boost Online Privacy
Cloudflare is collaborating with browser providers to strengthen online privacy through enhanced protections for internet users. The initiative aims to improve privacy standards while reducing tracking and increasing transparency across web interactions. As privacy regulations continue to evolve, collaborative approaches are becoming increasingly important for the modern internet.

In Enterprise AI news this week…

Zensar Launches ZenseAI AgentMesh to Drive Scalable Enterprise AI Automation
Zensar has launched ZenseAI AgentMesh, a platform designed to help enterprises orchestrate AI agents across business functions. The solution enables scalable automation, intelligent decision-making, and seamless integration with enterprise workflows. It highlights the growing adoption of agentic AI architectures across large organizations.

In Quantum Computing news this week…

IQM Achieves Milestone in Quantum Error Correction Enabling Fault-Tolerant Computing
IQM has achieved a significant breakthrough in quantum error correction, bringing the industry closer to fault-tolerant quantum computing. The advancement improves the reliability and stability of quantum systems, addressing one of the biggest barriers to commercial quantum applications. The milestone marks another step toward practical, enterprise-ready quantum computing.

In FinTech news this week…

Lili Launches MCP Server to Bring AI-Powered Banking Insights to Accountants
Lili has introduced its MCP Server to provide accountants with AI-powered banking insights and financial intelligence. The platform enables professionals to access contextual financial data, automate analysis, and improve decision-making. This reflects the increasing integration of AI into financial management and accounting workflows.

In HealthTech news this week…

Innovaccer and AWS Launch Healthcare Alliance to Advance Clinical AI Autonomy
Innovaccer and AWS have formed a strategic alliance to accelerate the adoption of autonomous AI capabilities in healthcare. The collaboration focuses on improving clinical workflows, enhancing patient care, and enabling healthcare organizations to leverage AI more effectively. The partnership demonstrates the growing role of cloud-powered AI in modern healthcare delivery.

In Cybersecurity news this week…

F5 Unveils Comprehensive AI Security Platform to Mitigate Enterprise AI Risk and Eliminate Shadow Deployments
F5 has launched a comprehensive AI security platform designed to help enterprises secure AI applications and eliminate unauthorized AI deployments. The solution provides centralized governance, visibility, and risk management capabilities to protect AI workloads across hybrid environments. As AI adoption accelerates, organizations are prioritizing security frameworks that provide end-to-end oversight.

Article of the Week

Strategic Steps for a Successful Digital Transformation Roadmap: A Practical Guide for Enterprise Leaders

Digital transformation requires more than adopting new technologies—it demands a clear strategic roadmap aligned with business objectives. Successful initiatives focus on modernizing infrastructure, empowering employees, improving customer experiences, and establishing governance frameworks that support continuous innovation. By combining technology investments with organizational change management, enterprises can build resilient, agile operations that remain competitive in an increasingly digital economy.

The post ITDigest’s Weekly News Roundup Featuring AWS, Tavant, Cloudflare, Zensar, IQM, Lili, Innovaccer, F5 and more appeared first on ITDigest.

Madock succeeds Paul Fenaroli who is stepping down as President and CEO in August to focus on his family. Fenaroli will remain with the company through a period to support a smooth transition.

Madock brings more than 18 years of experience in broadband and telecommunications, including senior leadership roles at WOW!, Brightspeed, and U.S. Cellular. She has led large teams, launched new products and brands, and enhanced the end-to-end customer experience while driving growth. Her leadership is grounded in aligning teams around a clear strategic vision, using data to guide decision-making, and delivering for customers.

Also Read: Edgecore Launches Z1, a Programmable Open-Source Edge Gateway

“Courtland is a proven leader who builds customer-focused organizations and delivers results,” said Naji Kjoury, chair of the Alaska Communications board of directors. “She brings the experience, leadership, and customer-first mindset needed to help move the company forward, and we are optimistic about her ability to drive growth for the business.”

“I’m honored to join Alaska Communications and build on the strong foundation in place,” said Madock. “This is a company with a clear mission, strong community ties, and a dedicated team. I look forward to listening, learning, and working together to continue delivering reliable connectivity for Alaskans.”

Khoury concluded, “On behalf of the board, I want to thank Paul for his leadership and the significant contributions he made strengthening connectivity across Alaska during his tenure. We extend our best wishes to him and his family during this difficult time.”

Source: PRNewswire

The post Alaska Communications Appoints Courtland Madock as Chief Executive Officer appeared first on ITDigest.

Also Read: Siemens, Databricks, and FFT Unite to Scale Cloud Integration for Scalable Industrial AI 

For enterprises managing existing environments, AWS notes that the legacy bidirectional setting may still be required to support post-quantum cryptography (PQC) fragmented TLS handshakes. Consequently, the company advises administrators to review their documentation for precise guidance on switching existing configurations to “Application drop established (server-directed only)” or applying the “to_server” flag to TCP drop rules to ensure flow control packets remain unblocked. This architectural refinement is immediately available across all global AWS Regions where the AWS Network Firewall service is currently offered.

Read More: AWS Network Firewall updates default drop action for improved connection reliability

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Cornelis and NextSilicon announced at ISC High Performance 2026 a collaboration to build and evaluate joint reference architectures for AI and high-performance computing. The work pairs the Cornelis CN5000 fabric with the NextSilicon Maverick-2 compute platform. Joint evaluation is already underway, with the goal of commercialization through joint OEM partners.

The collaboration starts with the 400 Gbps CN5000 fabric, launched in 2025, paired with Maverick-2, which began shipping in volume late that year. The first phase validates how fabric and compute perform together across configurations, so OEM partners start from proven combinations rather than untested parts lists. The companies plan to extend testing to the 800 Gbps CN6000 fabric, due in the second half of 2026.

Two Bottlenecks, One Design

Each company targets a different bottleneck. Standard Ethernet was not built for the small, latency-sensitive messages that AI inference and HPC simulation generate at scale. Congestion builds, and expensive compute sits idle waiting on data. The CN5000 is designed to eliminate that idle time.

On the compute side, the von Neumann model that has defined processors for decades shuttles data between memory and a fixed execution unit. It stalls on the irregular, data-dependent workloads that now dominate AI and HPC. NextSilicon built Maverick-2 on its Intelligent Compute Architecture (ICA), a software-defined dataflow design that reconfigures to each workload at runtime and runs existing code without modification.

Pairing the two addresses both limits at once: a fabric that keeps data moving and an accelerator that keeps compute busy. The joint reference architectures will give OEM partners a blueprint for systems they can build and bring to market.

Also Read: Cornelis and xFusion Deliver High-Performance Infrastructure for European Automotive and Industrial HPC

“Operators keep telling us their most expensive systems sit idle, waiting on the network,” said Lisa Spelman, CEO of Cornelis. “We built the CN5000 to end that wait. NextSilicon challenges the same kind of assumption on the compute side, so this collaboration is a natural fit. Together we can show partners and customers what a congestion-free fabric and a workload-driven compute architecture deliver as one design.”

“For decades, software had to bend to fit the processor,” said Elad Raz, founder and CEO of NextSilicon. “Maverick-2 makes the processor adapt to the software. Cornelis takes the same approach to the network. Evaluating our architectures together is the first step toward giving customers and OEM partners a faster, more efficient foundation for AI and HPC.”

Looking Ahead: Disaggregated Inference

Along with HPC, the collaboration will also target the shift in AI inference toward Mixture of Experts (MoE) models and agentic AI. Production inference for these workloads no longer runs as one model on one accelerator. Inference splits into stages, and data moves between stages across the network.

This pattern, often called disaggregated inference, makes the fabric part of the compute path. It rewards a network that moves small, bursty, latency-sensitive messages without congestion, and compute that adapts to each stage of the pipeline. As the CN6000 reaches availability in the second half of 2026, the companies intend to evaluate how a congestion-free fabric and a reconfigurable compute architecture can support disaggregated and agentic inference, with findings intended to inform future OEM reference designs.

Source: Businesswire

The post Cornelis and NextSilicon Build AI, HPC Reference Designs appeared first on ITDigest.

Then again, a different customer service group handled the large number of user complaints, completely without the live engineering logs. Such a division structurally profoundly hinders the mitigation of problems, lowers customer experience, and leaves millions of dollars of network enhancement capital being wasted.

To unify these fractured operations, Circles, GreySkies, and HCLTech announced a groundbreaking collaborative innovation under the TM Forum Catalyst Program.

Unveiled ahead of the TM Forum’s flagship DTW Ignite event in Copenhagen, the partnership introduces MAXIM—a frontier multi-AI agent fabric built specifically for telecoms. By correlating network operations directly with customer experience and real-time business processes, the launch redefines the Telecommunications Infrastructure, AI Operations, and System Integration industry, moving providers from reactive maintenance to self-optimizing, autonomous business models.

Also Read: Kyndryl and AWS Form Strategic Alliance to Drive Agentic AI Adoption Across Enterprise IT 

Technical Performance: Standards-Driven multi-Agent Collaboration

The fundamental core of the MAXIM platform is its adherence to open software frameworks. Rather than building a closed, proprietary application layer that risks vendor lock-in, the partners engineered the agentic ecosystem on top of the TM Forum Open Digital Architecture (ODA) and Open APIs.

By leveraging the emerging open-standard Model Context Protocol (MCP), specialized AI agents developed by different vendors can pass data context, evaluate system metrics, and trigger cross-platform workflows in perfect synchronicity:

SOC Agent (Network Layer): Engineered by GreySkies, this autonomous network operations engine continuously monitors infrastructure telemetry, instantly detecting anomalies and triggering self-healing script remediations.

CareX Agent (Customer Experience): Developed by Circles, this agent intercepts network signals to instantly calculate customer impact, proactively assisting affected users via conversational channels before they contact help desks.

NOVA & PromoX Agents (Monetization Layer): Driven by HCLTech’s automation expertise, these modules track intelligence and customer signals to deliver targeted, real-time engagement and automated service upgrades when users require localized bandwidth boots.

Transforming the IT Services and Telecom Industry

The deployment of standard, open multi-agent fabrics alters the competitive landscapes and implementation economics across global network operators and system integrators.

The Evolution from Telco to Sovereign “Techco”
For years, communication service providers operated primarily as utility-style “dumb pipes,” competing almost entirely on raw data limits, cellular coverage maps, and price-per-gigabit margins. The introduction of the MAXIM fabric accelerates the industry-wide transition toward Techcos (technology companies). By embedding autonomous AI capabilities straight into the core data fabric, operators transform their business. The network evolves into an agile, highly programmable platform capable of delivering differentiated, software-defined client experiences at machine speed.

Commoditizing Complex Systems Integration
Traditionally, telecom companies invested huge amounts of capital in the range of tens of millions of dollars for building custom highly fragile application bridges between Network Operations Centers (NOCs) and Customer Relationship Management (CRM) databases through massive global consultancies. With the use of standard TM Forum Open APIs and ODA compliance, the MAXIM structure creates an out-of-the-box interoperability layer

As a result, HCLTech and other system integrators’ time would shift from routine API plumbing to focusing on advanced data modeling, specialized prompt engineering, and custom monetization strategies.

Broad Operational Impact on Global Telecom Operators

For global telecom innovators—including Circles.Life, KDDI, Orange, and TELUS who are actively shaping this Catalyst project—deploying an agentic network fabric yields clear operational advantages.

Proactive Churn Reduction and Protecting Lifetime Value

In a hyper-competitive consumer telecom market, customer retention is directly tied to immediate service assurance. If a subscriber experiences continuous dropped calls or video buffering without communication from their provider, they will quickly switch to a competitor.

Proactively identifying an infrastructure degradation and deploying an autonomous agent to message the user—explaining the error and offering a real-time data credit or a localized discount—flips a frustrating outage into an exceptional service milestone. This protects customer lifetime value and reduces the strain on manual, expensive call center lines.

Unlocking High-Margin Intelligent Monetization Journeys
Traditional telecom marketing campaigns rely on broad, backward-looking batch data arrays—such as text-blasting thousands of users on a random Tuesday with a generic data plan upgrade. Bringing real-time network signals directly into the monetization layer allows operators to capitalize on high-intent customer windows.

If an autonomous agent notes a user is currently attending a high-capacity football stadium and hitting their data ceiling, the system can instantly deploy a contextual, single-click premium bandwidth boost offer—turning raw engineering telemetry into a direct, measurable driver of high-margin retail revenue.

The post Circles, GreySkies, and HCLTech Launch Multi-Agent AI Fabric for Autonomous Telco Operations appeared first on ITDigest.

The joint platform combines xFusion’s FusionServer infrastructure with Cornelis’ CN5000 intelligent networking technology to support increasingly complex engineering and simulation applications, including computational fluid dynamics (CFD), crash simulation, structural analysis, digital twin modeling, and AI-enhanced design processes.

“As HPC and AI workloads continue to grow in scale and complexity, organizations need infrastructure that can scale efficiently without introducing bottlenecks,” said Lisa Spelman, CEO of Cornelis. “This collaboration combines high-performance compute and intelligent networking to help customers maximize utilization, accelerate engineering and AI-driven workflows, and improve efficiency across large-scale infrastructure environments.”

As organizations across industries adopt larger-scale simulation and AI-assisted development efforts, infrastructure demands continue to increase dramatically. Engineering and research teams are under growing pressure to process larger datasets, reduce time to results, and scale compute environments efficiently without introducing unnecessary complexity or performance bottlenecks. Cornelis’ CN5000 networking platform delivers the low-latency, high-bandwidth interconnect required for these compute-intensive environments, while xFusion’s FusionServer infrastructure is architected for demanding HPC deployments.

Also Read: Ribbon and Comporium Expand Partnership to Advance Voice Infrastructure Modernization

“Our FusionServer platforms are purpose-built for high-density HPC deployments,” said Frank Qin, CEO at xFusion Europe. “Together with Cornelis, we are helping customers build infrastructure environments optimized for large-scale modeling, simulation, and other data-intensive workloads.”

The collaboration enables customers to scale HPC clusters more efficiently while maintaining consistent application performance across growing compute environments.

The partnership builds on years of joint work across multiple generations of infrastructure and networking technologies, giving both companies deep experience supporting performance-sensitive HPC environments.

The combined platform supports a wide range of applications, including computational fluid dynamics (CFD), crash simulation, structural analysis, digital twin modeling, large-scale analytics, and emerging AI-enhanced engineering workflows.

The joint solution also aligns with growing demand for more energy-efficient infrastructure. xFusion’s liquid-cooled FusionServer designs pair with Cornelis’ end-to-end liquid-cooled networking capabilities to help organizations improve thermal efficiency, infrastructure density, and overall system utilization in large-scale deployments.

Source: BusinessWire

The post Cornelis and xFusion Deliver High-Performance Infrastructure for European Automotive and Industrial HPC appeared first on ITDigest.

In Hardware and Network news this week…

Siemens, Databricks and FFT Unite to Scale Cloud Integration for Scalable Industrial AI
Siemens, Databricks, and FFT have joined forces to accelerate cloud integration for industrial AI deployments. The collaboration combines manufacturing expertise with cloud-native data capabilities to help organizations deploy AI solutions at scale. The initiative reflects the growing convergence of industrial automation, cloud computing, and AI.

In Business Technology news this week…

LTM Launches BlueVerse for iRun to Disrupt Traditional IT Managed Services
LTM has introduced BlueVerse for iRun, a platform designed to modernize traditional managed IT services with automation and AI-driven capabilities. The solution aims to improve service delivery, operational efficiency, and business agility. As enterprises seek more intelligent IT operations, managed service providers are increasingly integrating AI into their offerings.

In Cloud Security news this week…

CrowdStrike and AWS Expand Project QuiltWorks to Neutralize Frontier AI Infrastructure Risks
CrowdStrike and Amazon Web Services have expanded Project QuiltWorks to address emerging security risks associated with frontier AI infrastructure. The initiative enhances threat detection, governance, and protection for organizations deploying advanced AI systems. As AI infrastructure becomes more complex, proactive security measures are becoming increasingly essential.

In Artificial Intelligence news this week…

Databricks Introduces Genie One Agentic Coworker
Databricks has unveiled Genie One, an agentic AI coworker designed to assist employees with data analysis, workflow automation, and business decision-making. The solution enables users to interact with enterprise data using natural language while automating repetitive tasks. This reflects the growing adoption of AI coworkers in modern workplaces.

In Quantum Computing news this week…

HPE Expands Industry Ecosystem to Accelerate Full-Stack Hybrid Quantum Supercomputing
Hewlett Packard Enterprise has expanded its partner ecosystem to advance hybrid quantum supercomputing. By bringing together hardware, software, and research partners, the initiative aims to accelerate the development of practical quantum applications. The move underscores the industry’s growing focus on integrating quantum and classical computing environments.

In FinTech news this week…

ACI Worldwide Partners with EPI to Drive Real-Time Payments Across Europe
ACI Worldwide and EPI have partnered to accelerate the adoption of real-time payments across Europe. The collaboration aims to strengthen payment infrastructure, improve transaction speed, and support the region’s evolving digital payments ecosystem. This highlights the continued modernization of financial services through real-time payment technologies.

In HealthTech news this week…

Catalent Launches QAI to Transform Manufacturing QA
Catalent has launched QAI, an AI-powered quality assurance solution designed to modernize pharmaceutical manufacturing. The platform helps automate quality processes, improve compliance, and enhance production efficiency. This demonstrates the expanding role of AI in life sciences manufacturing and operational excellence.

In Cybersecurity news this week…

SentinelOne Unveils AI Security Integration with Amazon Bedrock AgentCore
SentinelOne has announced a new AI security integration with Amazon Bedrock AgentCore to strengthen the protection of enterprise AI applications. The integration provides enhanced monitoring, threat detection, and governance capabilities for AI-powered workloads. As enterprises deploy AI agents more broadly, securing AI infrastructure has become a strategic priority.

Article of the Week

Creating Responsible AI Development Frameworks: A Guide to Building Ethical, Transparent and Compliant AI Systems

As AI becomes embedded across enterprise operations, organizations must establish responsible development frameworks that prioritize ethics, transparency, accountability, and regulatory compliance. Effective AI governance includes clear policies for data management, model monitoring, bias mitigation, explainability, and human oversight. By adopting structured AI governance practices, enterprises can build trustworthy AI systems that foster innovation while reducing operational, legal, and reputational risks.

The post ITDigest’s Weekly News Roundup Featuring Siemens, Databricks, LTM, CrowdStrike, HPE, ACI Worldwide, and SentinelOne appeared first on ITDigest.

“Ribbon is a trusted partner in our modernization journey, and we’re pleased to take this next step together to enhance the efficiency and scalability of our voice infrastructure,” said Mike Deller, SVP of Engineering and Planning at Comporium. “This investment supports our continued transition to a modern cloud-based environment, and reinforces our commitment to delivering reliable, high-quality services to our customers.”

Also Read: Edgecore Launches Z1, a Programmable Open-Source Edge Gateway

Ribbon is providing Comporium with a complete network transformation solution, including the vC20 Call Controller and Application Server. The solution is designed to enable significant reductions in footprint and power consumption compared to legacy TDM infrastructure and dedicated ATCA-based C20 hardware platforms. Ribbon’s industry leading professional services teams are supporting implementation and optimization.

“This expansion underscores the strength of our long-term partnership with Comporium,” said Elizabeth Page, Regional Senior Sales Director at Ribbon. “Our solutions are designed to help service providers modernize their networks, reduce operational complexity, and prepare for future needs, such as the expected transition of service provider interconnect to all-IP in the USA.”

Source: PRNewswire

The post Ribbon and Comporium Expand Partnership to Advance Voice Infrastructure Modernization appeared first on ITDigest.