Hardware and Networks

ITDigest’s Weekly News Roundup Featuring Lightyear, F5, IBM, Thunes, Fiserv, Oracle Health, GitLab and more

News Desk — Fri, 21 Aug 2026 11:27:40 +0000

Here is ITDigest’s weekly roundup of the latest developments shaping enterprise technology. This week’s stories highlight the growing role of agentic AI across telecom, enterprise operations, AI infrastructure, software development, and healthcare, alongside advances in quantum computing, real-time payments, and hybrid cloud management.

In Hardware and Network news this week…

Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle
Lightyear has introduced an agentic platform designed to modernize the enterprise telecom lifecycle through AI-driven automation. The platform aims to streamline processes such as network procurement, management, and optimization, helping organizations reduce manual work and improve visibility across telecommunications infrastructure. As enterprise connectivity becomes increasingly complex, intelligent automation can help businesses manage telecom environments more efficiently.

In Business Technology news this week…

CIT Launches Business Builders and Agentic Enterprise Reinvention Offering
CIT has launched its Business Builders and Agentic Enterprise Reinvention offering to help organizations rethink operations around AI-powered automation. The initiative focuses on enabling businesses to identify opportunities where agentic AI can transform workflows, improve productivity, and create new operating models. The move reflects a broader shift from deploying isolated AI tools toward redesigning business processes around intelligent systems.

In Artificial Intelligence news this week…

F5 Launches Agentic-Ready AI Gateway to Optimize Enterprise AI Economics and Governance
F5 has introduced an agentic-ready AI Gateway aimed at helping enterprises manage the growing complexity and cost of AI deployments. The platform provides capabilities designed to improve governance, visibility, and control across AI workloads while helping organizations manage usage and economics. As enterprises deploy multiple AI agents and models, centralized oversight will become increasingly important for controlling costs and reducing risk.

In Quantum Computing news this week…

IBM Advances Quantum Computing with First Modular Cryogenic System Milestone
IBM has reached a milestone in quantum computing with the development of a modular cryogenic system designed to support the scaling of quantum infrastructure. Cryogenic systems are essential for operating many quantum processors, making advances in this area important to the industry’s long-term scalability. The development demonstrates IBM’s continued focus on building the underlying infrastructure needed for increasingly powerful quantum systems.

In FinTech news this week…

Thunes Partners with Fiserv to Power Real-Time Global Payouts
Thunes and Fiserv have partnered to strengthen real-time global payout capabilities for businesses and financial institutions. The collaboration is designed to make cross-border payments faster and more efficient while improving the infrastructure supporting international money movement. As businesses operate across increasingly global digital markets, faster and more seamless payment networks are becoming a competitive advantage.

In HealthTech news this week…

Oracle Health Expands Clinical AI Agent with Automated Coding and Chart Review
Oracle Health is expanding its clinical AI agent with capabilities for automated coding and chart review. The technology is designed to reduce administrative workloads for healthcare professionals and help organizations process clinical information more efficiently. Automating documentation-related activities could give clinicians more time to focus on patient care while improving consistency across healthcare workflows.

In IT & DevOps news this week…

GitLab Expands Agentic AI Across Software Delivery to Accelerate Enterprise Development
GitLab is expanding agentic AI capabilities across the software delivery lifecycle to help development teams automate and accelerate application development. By embedding intelligent agents into development and delivery workflows, organizations can streamline repetitive tasks, improve productivity, and gain greater insight into software operations. The expansion signals a broader industry movement toward AI-native software engineering.

Article of the Week

Challenges of Managing Hybrid Cloud Environments: How Enterprises Can Improve Security, Visibility and Performance

Hybrid cloud environments give enterprises flexibility to combine public cloud, private infrastructure, and on-premises systems, but they also introduce challenges around security, visibility, governance, and performance. Organizations need centralized monitoring, consistent security policies, strong identity controls, and effective workload management to maintain control across distributed environments. As businesses increasingly adopt hybrid architectures to balance flexibility with compliance and performance requirements, a structured cloud management strategy will be essential for achieving long-term operational resilience.

The post ITDigest’s Weekly News Roundup Featuring Lightyear, F5, IBM, Thunes, Fiserv, Oracle Health, GitLab and more appeared first on ITDigest.

Tufin Advances Multi-Vendor Agentic Network Security Across the Hybrid Enterprise

News Desk — Thu, 20 Aug 2026 11:15:58 +0000

Tufin, the leader in agentic AI network security, announced the availability of Tufin Orchestration Suite (TOS) 5.3, helping enterprises further simplify security operations and maintain consistent control across increasingly complex multi-vendor, hybrid environments.

As enterprise security environments continue to expand across cloud, firewalls, SASE, SD-WAN, microsegmentation, and distributed infrastructure, organizations increasingly struggle to govern connectivity across a growing mix of vendor-specific tools and management platforms. In fact, recent research shows that almost half (49%) of organizations have more than 20 security tools to manage. At the same time, AI is accelerating the pace of change across IT environments, while malicious agents and AI-driven threats continuously probe for new vulnerabilities. Without unified visibility and intelligence, policy changes become slower, governance becomes fragmented, and security teams are left trying to manage a constantly shifting attack surface with manual, human-speed processes.

The new Tufin release extends the company’s Unified Control Plane with new integrations, AI-powered intelligence, and automation capabilities that help organizations consistently govern policy, continuously validate network security posture, and maintain continuous assurance across heterogeneous environments.

Also Read: DOCOMO & Samsung Electronics Achieves Successful Validation of User-level AI-RAN Technology

“Enterprise networks no longer operate within a single vendor ecosystem, yet security teams are still expected to govern policy consistently across all of them,” said Shay Dayan, Senior Vice President of Product and Engineering at Tufin. “The new release further automates policy management, reduces operational complexity, and maintains continuous governance across today’s hybrid environments, giving security teams confidence that any changes will not increase risk, even as enterprise infrastructure and the attack surface continues to expand and evolve.”

In addition to these updates to the platform, Tufin also released its new AI-powered Segmentation Intelligence solution, which continuously analyzes an organization’s segmentation policies to understand segmentation intent, identify policy gaps and drift, and recommend how to close those gaps. The solution replaces periodic audits, manual checks, and narrow point solutions with always-on visibility, enabling security teams to ensure that there are no exploitable flaws or neglected coverage areas that need to be addressed while there’s still time to act.

Enhancing the Industry’s Most Comprehensive Network Security Platform

Tufin’s latest release expands the industry’s most comprehensive multi-vendor network security platform by bringing additional security technologies into Tufin’s Unified Control Plane, powered by the Dynamic Network Connectivity Graph. By continuously correlating connectivity, policy, and security context across heterogeneous environments, organizations can reduce manual effort, accelerate policy changes, and apply consistent governance regardless of vendor.

A few of the new capabilities in the release include:

Enhanced AWS Firewall Support, providing native topology, policy, and compliance visibility into AWS-native firewall environments, allowing organizations to extend governance deeper into cloud infrastructure.
Expanded Palo Alto Strata Cloud Manager Support, delivering end-to-end automation of IP-based access requests—from request through provisioning—to simplify policy management across cloud-managed security environments
VMware NSX-T Access Request Automation, delivering end-to-end automation of access requests for Distributed Firewall rules—from design and validation through provisioning—even in environments without complete network topology visibility.
Cisco Meraki Provisioning Support, extending automated policy provisioning to Cisco Meraki deployments and broadening consistent policy management across branch and distributed enterprise networks.

“Our vision extends beyond simple policy automation,” Dayan added. “We’re building an intelligent control layer that allows organizations to understand connectivity, govern change, and maintain continuous security posture control across every environment, regardless of vendor.”

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Tufin’s AI-Powered Segmentation Intelligence Enables Enterprises to Continuously Maintain Segmentation Intent Across Today’s Rapidly Changing Networks

News Desk — Thu, 20 Aug 2026 11:15:54 +0000

Tufin, the leader in agentic AI network security, announced Segmentation Intelligence, a new AI-powered solution that enables enterprises to continuously validate that critical segmentation policies are operating as intended across today’s complex hybrid environments.

Security teams are accountable for ensuring that segmentation controls remain effective, not only to support Zero Trust initiatives, but to meet regulatory requirements, reduce cyber risk, and withstand increasingly sophisticated AI attacks. It’s core to almost every part of modern enterprise security. However, these same teams often find themselves with limited visibility into whether the solutions, policies and controls they’ve put into place are working as intended. In fact, recent research indicated that over half (54%) of enterprise cybersecurity leaders have no clear understanding of whether their controls are in place and working at any given time. This lack of visibility – combined with an increased need to prove compliance faster than ever before – puts critical data and proprietary information at risk, while increasing the risk of audit failures, penalties, and reputational damage.

Organizations that continuously understand and reduce exposure are better positioned to adapt to rapidly changing environments, while still strengthening their security and compliance outcomes. Yet, as enterprise environments evolve across cloud, on-premises infrastructure, SASE, firewalls, and distributed networks, both security intent and proper application of policies and controls can drift from their intended targets. Teams trying to validate that intent is properly aligned with segmentation need quickly discover that the use of periodic, manual processes are no longer sustainable.

Also Read: Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle

Tufin Segmentation Intelligence continuously analyzes an organization’s segmentation policies to understand segmentation intent, identify policy gaps and drift, and recommend how to close those gaps. Rather than relying on point-in-time audits, manual validation exercises, or point solutions which only see a small portion of an enterprise’s network and policies, the AI-powered solution enables teams to ensure that there are no exploitable flaws or neglected coverage areas that need to be addressed.

Segmentation Intelligence analyzes policies, zones, subnets, and objects to understand how an organization’s environment is intended to be segmented and where controls should be enforced. This enables organizations to validate that segmentation remains aligned with their intended strategy as the environment evolves. The solution makes it easy to prioritize risk in a business context, and focus remediation efforts where exposure is greatest.

“Enterprise environments change constantly, yet verification remains largely manual and periodic. It’s a real struggle for security teams to prove segmentation is still working,” said Raymond Brancato, CEO of Tufin. “Segmentation Intelligence gives organizations continuous confirmation that their strategy is protecting the business as intended: reducing risk, improving compliance, strengthening resilience, and building confidence in their security posture.”

Turning Security Intent into Continuous Assurance

For many organizations, segmentation validation occurs only before audits, after major infrastructure changes, or following a security incident. As cloud adoption accelerates and AI drives infrastructure change at machine speed, hybrid environments are becoming increasingly dynamic. At the same time, frontier AI models such as Mythos are raising the ceiling on what automated reconnaissance and exploitation can do, putting capabilities that were once limited to well-resourced actors within the reach of a far wider set of adversaries. As networks evolve and threats accelerate, periodic validation cycles leave security teams with limited visibility into whether their intended segmentation policies still reflect current security requirements, or have drifted over time.

At the same time, industry momentum around Continuous Threat Exposure Management (CTEM) continues to accelerate. Regulatory frameworks such as NIS2 and DORA increasingly emphasize continuous controls and operational resilience, while organizations face growing pressure to secure rapidly changing AI-driven infrastructure and defend against increasingly sophisticated AI-enabled attacks without expanding security headcount. Verizon’s 2026 Data Breach Investigations Report found that vulnerability exploitation has become the leading initial access vector for breaches, with AI helping attackers accelerate exploitation from months to hours.

Tufin Segmentation Intelligence transforms segmentation validation from a periodic compliance exercise into continuous, AI-driven assurance. By continuously analyzing intended segmentation policies for gaps and drift, organizations gain confidence that their segmentation strategy continues to reflect business and security requirements as infrastructure—and the attack surface—evolves, helping reduce the risk that exploitable gaps go undetected as threats move faster.

Unlike point products that validate segmentation within a single technology domain, by combining continuous visibility and AI-driven analysis within a single platform, security teams can:

Continuously identify segmentation policy gaps and drift across policies, zones, subnets, and the entire network
Detect unintended vulnerabilities and exploitable coverage gaps before they weaken critical security controls
Prioritize remediation based on business risk and likely exposure
Generate continuous affirmation that supports compliance, operational resilience, and Zero Trust initiatives

“Organizations don’t need more dashboards, they need assurance,” continued Brancato. “With Tufin, security leaders can gain continuous insight into whether the controls protecting their business are working as intended. Segmentation Intelligence represents a significant step toward making continuous security assurance a reality.”

The post Tufin’s AI-Powered Segmentation Intelligence Enables Enterprises to Continuously Maintain Segmentation Intent Across Today’s Rapidly Changing Networks appeared first on ITDigest.

Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle

ITDigest Bureau — Wed, 19 Aug 2026 10:46:33 +0000

Lightyear Enterprise Telecommunications Software Company has unveiled the introduction of the world’s first agentic platform in the enterprise telecom space, announcing the availability of Lightyear Dispatch along with its first two dedicated operational AI agents. With the intention to disrupt the manner in which network connectivity is sourced, provisioned, and managed, this release is the beginning of a larger rollout plan in which AI agents will be introduced to all stages of the enterprise telecom lifecycle by 2027.

However, despite being worth well over $1 trillion annually, the industry continues to be highly dependent on manual processes, siloed carrier portals, non-existent serviceability information, and non-transparent pricing. Lightyear’s agentic framework resolves this complexity by serving as an active system of action, executing end-to-end operational tasks across thousands of global service providers.

“Systems of Record tell you what is true. A System of Action takes the truth and uses it to do work on your behalf,” said Dennis Thankachan, CEO of Lightyear. “Lightyear is building Telecom’s System of Action by combining proprietary data, proven workflows, and specialized AI agents. By 2027, we expect agents to be handling material work across the full lifecycle on behalf of our customers.”

Also Read: Hyperlink InfoSystem Empowers Enterprises with Business-Focused AI Solutions

Unifying Telecom Intelligence with Lightyear Dispatch

Serving as the central conversational entry point for the entire platform, Lightyear Dispatch allows IT, finance, and procurement teams to query network inventory data, audit pricing, and build custom reporting dashboards using plain natural language commands.

During early enterprise deployments, customers generated custom spend and inventory reports in a median time of one minute using just two prompts.

Key functional capabilities of Dispatch include:

Instant Network Auditing: Answers complex queries regarding contract renewal dates, above-market pricing anomalies, and single-point-of-failure sites lacking redundant connectivity.

Ad-Hoc Report Generation: Dynamically creates structured data tables, visual charts, and custom executive summaries without relying on static dashboards or manual spreadsheets.

Automated Stakeholder Distribution: Schedules and delivers automated, recurring network reports across IT infrastructure, procurement, and executive leadership teams.

Platform Orchestration: Acts as the primary control interface to initiate automated workflows across Procurement, Network Inventory Management, and Telecom Expense Management.

“Dispatch gave me the answer I was looking for within a couple of minutes. I was able to ask a question about our circuit orders and get updated information back in a clear, organized way,” said Sian Watts, Director: Processes & Systems at Elauwit.

Specialized AI Agents for Sourcing and Installation

Underpinning the platform are Lightyear’s first two specialized operational agents, engineered using proprietary carrier intelligence spanning more than 2 million historical quotes across 1,200+ global service providers:

The Quoting Agent: Analyzes technical requirements and corporate procurement rules to identify optimal carriers and automate RFP distribution. The agent delivers completed quotes 30% to 50% faster while generating 15% to 25% more qualified carrier bids.

The Implementation Agent: Tracks active circuit installations, monitors project milestones, and analyzes provider communications in real time, executing proactive escalations to reduce overall installation timelines by 5 to 10 days.

To ensure corporate compliance and operational safety, all Lightyear agents operate under customer-defined guardrails, requiring explicit human approval before key procurement or financial actions are executed.

The post Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle appeared first on ITDigest.

Nozomi Networks and Sophos Partner to Unify IT and OT Security Operations

ITDigest Bureau — Mon, 17 Aug 2026 10:53:01 +0000

Cybersecurity leaders Nozomi Networks and Sophos have announced a strategic cooperation aimed at overcoming the IT-OT security operational gap that has been a point of frustration for many years. A new and specially designed interoperability is enabling the Nozomi Networks Vantage, a cloud-first security solution with AI features for OT and CPS, to be connected with Sophos Fusion, an AI cybersecurity platform.

This partnership is one of the first prominent outside integrations for technology to be launched on Sophos Fusion. This shows that Sophos is dedicated to creating and promoting of an open and tightly-knit cybersecurity environment with partners. The integration of Nozomi’s OT data such as telemetry, details about different types of assets and threat indicators into the Sophos Fusion makes use of that data which helps Security Operations Centers (SOC) analysts track and respond to events quickly and accurately, by combining IT and OT systems, without the need to switch back and forth contexts to different consoles.

Mitigating Escalating Cyber Risks Across Critical Infrastructure

Industrial organizations and critical infrastructure operators face unprecedented security challenges as nation-state actors and cybercriminal groups intensify attacks on connected operational environments. Because many high-impact industrial disruptions originate from initial compromises within corporate IT networks, maintaining unified, cross-domain observability has become essential.

Also Read: Tanium and Censys Join Forces to Accelerate Continuous Exposure Management in the Age of AI

By feeding Nozomi’s OT context into Sophos’ defense architecture, enterprise security teams can correlate industrial threat signals with telemetry spanning endpoints, networks, identities, and multi-cloud environments.

“The intersection of IT and OT environments has long been misunderstood by the cybersecurity industry, leading to inefficiencies and potential danger for critical infrastructure,” said Matt Cowell, Vice President of Strategic Alliances at Nozomi Networks. “This partnership helps solve these problems by seamlessly integrating OT intelligence into IT security investigations so teams have the full picture when assessing their increasingly expanding attack surface.”

Streamlining Investigation Workflows and Security Automation

The technical integration delivers several key operational advantages for enterprise SOC teams and Managed Security Service Providers (MSSPs):

Contextual Data Correlation: Unifies OT asset intelligence with endpoint, network, and cloud telemetry inside a single pane of glass.

Accelerated Incident Response: Eliminates the need for security analysts to manually pivot between disjointed software consoles during active investigations.

Automated Orchestration: Enables security teams to leverage Nozomi’s OT data within automated Security Orchestration, Automation, and Response (SOAR) playbooks for continuous threat enrichment and rapid mitigation.

MSSP Efficiency: Empowers service providers to extend existing IT security offerings into manufacturing and industrial sectors without introducing complex operational overhead.

“Defenders need every resource they can to combat sophisticated threat actors. This partnership helps security teams easily assess OT and IT vulnerabilities in one place, allowing them to take action much faster,” said Chris Bell, senior vice president of global channel and alliances at Sophos. “Following the launch of Sophos Fusion, this is a testament to our commitment to bring best-of-breed security technologies into a single defense system for superior threat detection, investigation, and response.”

The post Nozomi Networks and Sophos Partner to Unify IT and OT Security Operations appeared first on ITDigest.

ITDigest’s Weekly News Roundup Featuring DOCOMO, Precisely, Quantinuum, Oracle, Mercury, Anthropic and more

News Desk — Fri, 14 Aug 2026 13:24:09 +0000

Here is ITDigest’s weekly roundup of the latest developments shaping global technology markets. This week’s stories highlight advancements in AI-RAN, enterprise AI, SAP governance, hybrid quantum computing, intelligent financial management, healthcare technology, and AI deployment. Together, these developments demonstrate how organizations are embedding AI deeper into infrastructure, business operations, and industry-specific workflows.

In Hardware and Network news this week…

DOCOMO and Samsung Electronics Achieve Successful Validation of User-Level AI-RAN Technology
DOCOMO and Samsung Electronics have successfully validated user-level AI-RAN technology, marking progress toward more intelligent and flexible mobile networks. The technology enables network resources to be optimized around individual user requirements, supporting more efficient performance as AI workloads and advanced mobile applications grow. The development points toward a future where AI becomes an integral part of next-generation telecom infrastructure.

In Business Technology news this week…

Hyperlink InfoSystem Empowers Enterprises with Business-Focused AI Solutions
Hyperlink InfoSystem is expanding its focus on business-oriented AI solutions designed to help enterprises integrate artificial intelligence into practical workflows. By aligning AI capabilities with specific business requirements, organizations can move beyond experimentation and focus on measurable improvements in productivity, automation, and decision-making. The trend reflects growing enterprise demand for AI solutions tied directly to business outcomes.

In Cloud Computing & Mobility news this week…

Precisely Introduces Automate Evolve Cloud Essentials to Bridge SAP Governance Gaps
Precisely has introduced Automate Evolve Cloud Essentials to help organizations address governance and automation challenges surrounding SAP environments. The solution is designed to improve control and streamline processes as businesses modernize their SAP landscapes and move toward cloud-based operations. Stronger governance will become increasingly important as enterprises manage increasingly complex and interconnected application environments.

In Quantum Computing news this week…

Quantinuum and Oracle Partner to Bring Hybrid Quantum Computing to Oracle Cloud Infrastructure
Quantinuum and Oracle are partnering to bring hybrid quantum computing capabilities to Oracle Cloud Infrastructure. The collaboration aims to combine quantum computing with conventional cloud resources, giving organizations a pathway to experiment with quantum workloads within familiar enterprise environments. Such integration could accelerate research into applications where quantum and classical computing complement one another.

In FinTech news this week…

Mercury Unveils Mercury Spend with AI Agent Cards and Intelligent Budgets
Mercury has launched Mercury Spend, introducing AI agent cards and intelligent budgeting capabilities to help businesses manage spending more effectively. The platform brings automation and AI-powered controls into corporate financial management, enabling organizations to gain greater visibility over expenses and streamline spending decisions. Intelligent financial tools are increasingly becoming part of the modern enterprise finance stack.

In HealthTech news this week…

Oracle Health Launches AI-Powered Patient Portal to Elevate Engagement
Oracle Health has launched an AI-powered patient portal designed to improve engagement and make healthcare interactions more personalized. AI capabilities can help patients access information and navigate healthcare services more efficiently while supporting providers with more connected digital experiences. The development highlights the healthcare industry’s shift toward technology-enabled, patient-centric care.

In Enterprise Software news this week…

ZaeLab Partners with Anthropic to Drive Enterprise AI Deployment
ZaeLab and Anthropic have partnered to help enterprises accelerate the deployment of AI across business environments. The collaboration focuses on helping organizations integrate advanced AI capabilities into existing workflows while addressing the practical requirements of enterprise adoption. As businesses move from AI pilots toward scaled deployments, implementation expertise and responsible governance are becoming increasingly critical.

Article of the Week

How AI Is Transforming the Healthcare Industry: Key Innovations Driving Better Patient Care in 2026

Artificial intelligence is rapidly changing healthcare through applications spanning clinical decision support, patient engagement, medical research, diagnostics, and administrative automation. In 2026, healthcare organizations are increasingly using AI to improve efficiency while supporting more personalized and data-driven care. However, successful adoption also requires strong data governance, cybersecurity, interoperability, and responsible AI practices. As these capabilities mature, AI is positioned to become an increasingly important layer of the modern healthcare ecosystem.

The post ITDigest’s Weekly News Roundup Featuring DOCOMO, Precisely, Quantinuum, Oracle, Mercury, Anthropic and more appeared first on ITDigest.

DOCOMO & Samsung Electronics Achieves Successful Validation of User-level AI-RAN Technology

News Desk — Wed, 12 Aug 2026 13:02:29 +0000

NTT DOCOMO, INC. and Samsung Electronics announced today that they have successfully validated AI-based radio access network (AI-RAN) optimization technology at the user level. This advancement is expected to usher in an era where networks autonomously recognize user contexts and service requirements, delivering optimal communication environments. Moreover, this validation represents an important step toward realizing predictive network operations, especially as AI-driven network optimization becomes increasingly prevalent in the 6G network.

Traditionally, all user devices (smartphones) connected to a single cell (base station) were subjected to the same network configurations. This approach often led to service quality degradation, such as connection drops in areas with weak signals. With the growing demand for high-quality video, online gaming, and video conferencing, users increasingly require stable, uninterrupted connectivity at all times.

This newly developed AI-RAN optimization technology operates at the individual-user level rather than applying the same configuration across all users connected to a single cell. It automatically applies configurations tailored to real-time wireless conditions and the services being used. The AI learns each user’s movement patterns and service usage behavior, predicting potential service quality degradation before it occurs.

In a validation conducted in Japan in January 2026, using simulations based on data collected from DOCOMO’s commercial network and a local 5G trial field, the companies reduced the frequency of communication-speed degradation from 13.1% to 7.2%—an improvement of 5.9 percentage points—compared with operation without the technology.

Also Read: Chroma integrates MXO oscilloscopes into ATS 8000 platform, rounding out its high-end power testing ecosystem

Using aggregated data from user devices (MDT), the system analyzes individual user contexts and movement trends to detect early signs of throughput degradation before service quality declines. For instance, if a user is predicted to experience a reduction in transmission speed below the required threshold, leading to service disruptions such as buffering or reduced video quality, the system will automatically switch to the optimal configuration, e.g. frequency band, to meet service demands.

Instead of focusing on radio link failure prediction, the two companies adopted a customer-experience-driven approach aimed at supporting services such as uninterrupted video streaming. The validation demonstrated AI’s potential to enable the network to proactively predict and mitigate service-quality degradation.

Additionally, DOCOMO and Samsung developed an efficient data collection process to minimize network burden during wireless network optimization. Unlike traditional methods that required bulk collection and processing of wireless environment data, the new procedure selectively gathers only necessary information based on specific user issues, reducing strain on the network while obtaining the critical data needed for AI-driven throughput degradation prediction and network optimization. In February, the companies contributed jointly to 3GPP discussions on data collection methods, further advancing 6G technology standardization efforts.

Moving forward, DOCOMO and Samsung will continue to advance this technology and explore future 6G use cases. The two companies also intend to contribute the AI-based throughput degradation prediction technology and efficient data collection technologies developed through this work to 3GPP discussions, taking a world-leading role in realizing of AI-Centric Networks in which networks autonomously learn, predict, and optimize their behavior through AI.

“This achievement represents a significant step toward realizing more adaptive and user-centric communication experiences in future networks. Through partnerships with Samsung, DOCOMO will continue to advance AI-based technologies and explore practical applications to further enhance service quality and deliver new value to our customers,” said Masafumi Masuda, Senior Vice President and General Manager of the 6G-Tech Department, R&D Innovation Division, NTT DOCOMO.

“By shifting our research focus from overall cell performance to AI-driven individual user considerations, we have demonstrated the potential for enhanced perceived quality at the user level,” said JinGuk Jeong, Executive Vice President and Head of the Advanced Communications Research Center, Samsung Research at Samsung Electronics. “Through close collaboration with DOCOMO, we will continue securing core technologies for future communications centered around users.”

(1) Minimization of Drive Test is an automated process that anonymously collects communication quality information from user devices, such as smartphones, and applies insights to improve area coverage quality.
(2)The data transmission speed in communication, measured as the amount of data transferred per unit time, closely reflecting the actual communication speed experienced by users.

About NTT DOCOMO

NTT DOCOMO, Japan’s leading mobile operator with over 93 million subscribers, is one of the global leaders in 3G, 4G and 5G mobile network technologies. Under the slogan “Bridging Worlds for Wonder & Happiness,” DOCOMO is actively collaborating with global partners to expand its business scope from mobile services to comprehensive solutions, aiming to deliver unsurpassed value and drive innovation in technology and communications, ultimately to support positive change and advancement in global society.

About Samsung Electronics Co., Ltd.

Samsung inspires the world and shapes the future with transformative ideas and technologies. The company is redefining the worlds of TVs, digital signage, smartphones, wearables, tablets, home appliances and network systems, as well as memory, system LSI and foundry. Samsung is also advancing medical imaging technologies, HVAC solutions and robotics, while creating innovative automotive and audio products through Harman. With its SmartThings ecosystem, open collaboration with partners, and integration of AI across its portfolio, Samsung delivers a seamless and intelligent connected experience. For the latest news, please visit the Samsung Newsroom at news.samsung.com

The post DOCOMO & Samsung Electronics Achieves Successful Validation of User-level AI-RAN Technology appeared first on ITDigest.

L&T Technology Launches AgenticIQ Platform to Scale Autonomous Engineering AI

ITDigest Bureau — Wed, 12 Aug 2026 11:05:29 +0000

L&T Technology Services (LTTS), a global engineering services firm, recently launched AgenticIQ, which is an all-in-one agentic artificial intelligence platform aimed at assisting companies in engineering, manufacturing, and R&D to move away from their AI pilot programs to full production. Addressing common industry challenges such as disconnected systems, complex workflows, and strict regulatory compliance, the cloud-agnostic platform features a planning-first architecture that converts LTTS’ domain capabilities into specialized, reusable AI agents operating within robust governance and IP safeguards. By enabling autonomous, multi-agent workflows across product development, industrial operations, and customer experience, AgenticIQ supports key sectors like automotive, medical devices, semiconductors, and plant engineering while establishing the foundation for LTTS’ agentic-led engineering delivery model.

Also Read: TOHKnet and Adtran Achieve Industry Milestone with Japan’s First Live 50G PON Trial

Highlighting the strategic evolution of industrial automation, Amit Chadha, Chief Executive Officer & Managing Director, L&T Technology Services, said, “The next phase of Engineering Intelligence will be defined by how effectively autonomous AI agents collaborate to solve complex industry challenges across engineering, production and customer experience. Over the years, LTTS has built AI-powered engineering solutions that address domain-specific business problems across industries. With AgenticIQ, we are transforming these proven capabilities into reusable AI agents on a unified Agentic AI platform that enables enterprises to rapidly build, orchestrate and deploy next-generation agentic solutions at scale.” Ultimately, this platform equips global industrial enterprises to deploy trustworthy, scalable AI without compromising proprietary domain knowledge or operational reliability.

Chroma integrates MXO oscilloscopes into ATS 8000 platform, rounding out its high-end power testing ecosystem

News Desk — Tue, 11 Aug 2026 14:01:01 +0000

The MXO Series oscilloscopes from Rohde & Schwarz are now supported by Chroma’s Power Conversion Device Automated Test System Model 8000 (ATS 8000). This integration helps address increasingly complex testing requirements in high-power and high-channel-count applications, including power systems used in AI data center infrastructure. As a result, power electronics engineers using the ATS 8000 platform for automated testing and integration can benefit from the advanced capabilities of next-generation MXO oscilloscopes for real-time waveform capture.

The growth of AI infrastructure is driving power demand in data centers and related systems. This is pushing power supply vendors to develop higher-power and higher-density designs, including systems built for the latest HVDC (High-Voltage Direct Current) power architectures. Engineers power conversion devices and power supplies rely on automated test platforms such as Chroma’s ATS 8000 to carry out automated tasks including waveform capture, debugging and calibration during power system development.

The ATS 8000 is designed for automated testing of various power conversion devices and power supplies. Chroma has now added support for the MXO Series digital oscilloscopes from Rohde & Schwarz as one of several available hardware options that can be integrated into the system. In automated power testing applications, oscilloscopes play a critical role in capturing transient behavior and dynamic waveforms in real time.

High accuracy for high-voltage testing environments

Based on MXO-EP processing ASIC technology developed by Rohde & Schwarz, the next-generation MXO Series offers waveform capture rates of up to 4.5 million acquisitions per second. This helps reduce measurement blind spots and provides a more accurate real-time representation of the signal behavior. With advanced digital triggering, adjustable sensitivity and exceptionally low trigger jitter, the MXO can detect even very small signal anomalies with pixel-level trigger accuracy. In HD mode, the oscilloscopes support up to 18-bit resolution and input sensitivity as low as 0.5 mV/div.

High channel count for high-density power delivery

To meet the power demands of high-density power delivery in AI-driven data centers, a single power rack often needs to support multiple power modules, as well as battery backup units (BBU) and capacitor backup units (CBU) in series or parallel setups. These requirements can create complex measurement challenges involving more than eight channels. The MXO Series includes models with up to eight channels and supports 1/3 multi-instrument synchronization through the Rohde & Schwarz ScopeSync architecture, allowing several instruments to operate in a primary-secondary setup with up to 24 synchronized channels. This capability supports debugging work and helps align manual checks with automated test results.

Flexible test platform for real-world applications and production line environments Thanks to Chroma’s PowerPro 5 control software, engineers can adapt the test systems to specific use cases and run external programs written in C# or Python as part of the test flow. This makes it possible to add custom analysis steps, such as decoding control frames from serial communication buses or applying product-specific calibration routines, meeting engineers’ flexibility requirements in both real-world applications and production-line environments.

Evan Tsai, Product Manager for ATS 8000 Software Solutions from Chroma said: “Drawing on many years of experience in automated testing, we consider efficiency and flexibility to be extremely important in the AIdriven era. The addition of support for the Rohde & Schwarz MXO Series oscilloscopes expands the ATS 8000 platform in response to new demands in advanced power testing. Looking ahead, Chroma will continue to develop automated testing technologies that provide power supply manufacturers worldwide with more comprehensive, precise and reliable measurement solutions, jointly paving the way for highly efficient AIdriven energy systems.”

Jithu Abraham, Director Product Management Oscilloscopes at Rohde & Schwarz said: “Power electronics engineers developing complex power systems used in AI data center infrastructure need measurement tools that can capture fast signal behavior and support complex multi-channel setups. By adding our MXO Series to Chroma’s well-established ATS 8000 platform, these users can now access next-generation oscilloscope technology within their existing automated test workflows.”

For more information on Chroma’s ATS 8000 Power Conversion System, visit: https://www.chromaate.com/en/product/switching_power_supply_ats_8000_198

For more information on oscilloscopes from Rohde & Schwarz, visit:

https://www.rohde-schwarz.com/us/products/test-and-measurement/oscilloscopes_63663.html

About Chroma

Founded in 1984, Chroma ATE Inc. is a driving force behind emerging technology industries and a trusted partner to the world’s leading tech pioneers. We empower our clients to bring their innovations to life through our comprehensive solutions in precision measurement and intelligent automation. Chroma serves customers across diverse markets including AI data centers and semiconductors, visual display, smart mobility, sustainable energy, and smart factories. Our test solutions cover IC and semiconductor devices, photonics, batteries and energy storage, electric vehicles, flat panel displays, video and color, power electronics, passive components, electrical safety, and automated optical inspection – complemented by intelligent manufacturing systems for smart factory applications. Chroma has offices located across the world, chartered to fulfill and surpass customers’ needs with high value-added service.

Rohde & Schwarz

Rohde & Schwarz is striving for a safer and connected world with its Test & Measurement, Technology Systems and Networks & Cybersecurity Divisions. For 90 years, the global technology group has pushed technical boundaries with developments in cutting-edge technologies. The company’s leading-edge products and solutions empower industrial, regulatory and government customers to attain technological and digital sovereignty. The privately owned, Munich based company can act independently, long-term and sustainably

The post Chroma integrates MXO oscilloscopes into ATS 8000 platform, rounding out its high-end power testing ecosystem appeared first on ITDigest.

DecisionPoint Technologies Acquires AB&R to Expand RFID and IoT Leadership

ITDigest Bureau — Tue, 11 Aug 2026 12:24:42 +0000

DecisionPoint Technologies, a company offering solutions for enterprise mobility and edge technologies, has made the announcement that it has acquired Phoenix-based American Barcode and RFID (AB&R), which is a well-established player in the field of RFID, data capture and IoT solutions. This strategic move has substantially extended the reach of DecisionPoint, along with improving its capability to automate and enhance visibility of assets in the supply chain process while ensuring accuracy in the enterprise environment. This move will enable DecisionPoint to strengthen its integrated suite through the unique expertise of AB&R in barcode, labeling, software, and services. Contextualizing the strategic fit of the acquisition, Brian Bukowski, CEO and President of DecisionPoint Technologies, stated:

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“The way organizations capture, track, and act on data across their operations is changing rapidly, and RFID is becoming a foundational technology for improving visibility, automation, and operational accuracy. AB&R has built an outstanding reputation helping customers apply RFID and IoT technologies to solve complex business challenges. Their expertise, customer relationships, and proven track record make them a natural fit for DecisionPoint as we continue expanding our capabilities in RFID, software, and services that help organizations modernize their operations.” Reaffirming the growth opportunities for client organizations, Gary Randall, VP of Sales and Marketing of AB&R, added: “Joining DecisionPoint creates an exciting opportunity to expand the value we deliver to customers while building on the trusted relationships and technical expertise AB&R has developed over more than four decades. Together, we will bring customers greater scale, expanded resources, and a broader portfolio of solutions to help improve visibility, accuracy, and performance across their operations.”

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