Introduces new PerfecTwin ERP Edition with AI capabilities such as real transaction data generation for testing and automated removal of sensitive informationExpands collaboration plans with SAP to provide technical enhanced services for cloud ERP advancementPlans to establish ERP delivery center in India to expand global ERP operationsCEO Shin Gyoon Hyun joins SAP Sapphire panel session for the second consecutive year to discuss ERP innovation

SEOUL, South Korea, May 22, 2025 /PRNewswire/ — LG CNS, a leading AI transformation (AX) company in Korea, unveiled its latest AI-based ERP testing technology at SAP Sapphire 2025, SAP’s annual global conference held in Orlando, Florida.

SAP Sapphire brings together industry leaders, customers and partners from around the world to explore the latest technologies and innovations powered by SAP. At this year’s event, the LG CNS booth showcased the new AI-enhanced version of the company’s PerfecTwin ERP Edition, an advanced testing solution based on real transaction data that was introduced at Sapphire 2024.

Designed for SAP ERP environments, the solution helps companies ensure smooth data transfers and minimize errors by testing transactional data—such as finance, procurement, and HR—in a virtual environment identical to the new system. By repeatedly verifying real transaction data, it enables near-zero defects upon system implementation or upgrades.

The latest edition’s AI features generate real transaction test data when the volume of actual data is insufficient. They also ensure privacy and security by identifying and removing sensitive information, such as user data. Additionally, the AI analyzes error patterns and traces root causes to significantly reduce test validation time.

LG CNS is a long-time SAP partner offering ERP expertise to enterprise clients. At the event in Orlando, LG CNS and SAP expanded their collaboration to provide clients with a comprehensive set of services to accelerate their transformation to cloud ERP. These services provided by LG CNS include application operations, release version upgrades, application security updates and SAP Business Technology Platform core operations.

In addition, LG CNS plans to expand the target countries for these services to the Asia-Pacific and Japan regions and beyond, based on the maturity of the services. This includes the establishment of a delivery center in India later this year to support the global expansion of its ERP operations.

Shin Gyoon Hyun, CEO of LG CNS, participated in the SAP Sapphire panel discussion for the second year in a row, sharing insights on cloud ERP transformation, customer success stories, and innovative digital transformation cases.

Since establishing joint collaboration plans at SAP’s headquarters in Germany in 2023, LG CNS has continued to strengthen its collaboration to drive innovation in cloud ERP services. Earlier this year, the company became the first from Korea to join SAP’s Regional Strategic Services Partner (RSSP) initiative for the Asia-Pacific (APAC) region. The RSSP initiative enables LG CNS to scale its SAP practice quickly across the APAC region and work more closely with SAP to deliver joint customer success.

“Through continued collaboration with SAP, LG CNS will further strengthen its technical expertise and competitiveness in ERP and continue to support innovation for global clients,” said Hanshin Nae, Senior Vice President of LG CNS Enterprise Solutions Division.

About LG CNS

LG CNS is a leading Korean AX (AI Transformation) company that continues to pioneer various emerging technologies, including AI, cloud computing, big data, and smart engineering, encompassing smart factories, smart cities, and smart logistics, as well as digital marketing. The company also leads the market through innovative system integration (SI) and system management (SM) projects across finance, manufacturing, the public sector, and various other industries. For more information, please visit https://www.lgcns.com.

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SOURCE LG CNS

SiXG301 and SiXG302, Silicon Labs’ first wireless SoC families at the 22 nm process node, deliver breakthroughs in compute, power efficiency, integration and security

AUSTIN, Texas, May 22, 2025 /PRNewswire/ — Silicon Labs, the leading innovator in low-power wireless solutions, today announced the first products of its Series 3 portfolio with the introduction of two new wireless SoC families built at the advanced 22 nanometer (nm) process node: the SiXG301 and SiXG302. These highly integrated solutions represent a significant leap forward in compute power, integration, security, and energy efficiency, addressing the growing demands of both line-powered and battery-powered IoT devices.

As smart devices grow more sophisticated and compact, the need for powerful, secure, and highly integrated wireless solutions has never been greater. The new Series 3 SoCs deliver on this promise with advanced processing capabilities, flexible memory options, best-in-class security, and streamlined external component integration. Silicon Labs’ Series 1, Series 2, and Series 3 platforms will continue to complement one another in the market and address the full breadth of IoT applications.

The new Series 3 families of SoCs include:

SiXG301: Optimized for Line-Powered Applications
Purpose-built for line-powered smart devices, the SiXG301 includes an integrated LED pre-driver and offers an ideal solution for advanced LED smart lighting and smart home products, supporting Bluetooth, Zigbee, and Thread with support for Matter. Built with high Flash and RAM overhead of 4 MB and 512 kB, respectively, the SiXG301 helps future-proof customer designs as the requirements for Matter and other more demanding IoT applications continue to grow. This SoC enables concurrent multi-protocol operation for Zigbee, Bluetooth and Matter over Thread networks at the same time, which helps simplify manufacturing SKUs, reduce costs, save board space for additional device integrations, and improve consumer usability. Already in production with select customers, the SiXG301 is slated for general availability in Q3 2025.SiXG302: Designed for Battery-Powered Efficiency
Expanding Series 3 to battery-powered applications, the upcoming SiXG302 will deliver groundbreaking energy efficiency without sacrificing performance. Featuring Silicon Labs’ advanced power architecture, the SiXG302 is designed to use only 15 µA/MHz active current, 30% lower than competitive devices in its class. This makes it ideal for battery-powered wireless sensors and actuators for both Matter and Bluetooth applications. The SiXG302 is planned for customer sampling in 2026.

“Smart devices are becoming more complex, and designers are challenged to pack greater functionality into smaller spaces while maintaining energy efficiency,” said Ross Sabolcik, Senior Vice President of Product Lines at Silicon Labs. “With the SiXG301 and upcoming SiXG302 families, we’re delivering flexible, highly integrated solutions that enable next-generation IoT devices—whether they’re plugged in or running on battery power.”

The SiXG301 and SiXG302 families will initially include “M” devices for multiprotocol, the SiMG301 and SiMG302, and “B” devices optimized for Bluetooth LE communications, the SiBG301 and SiBG302.

By leveraging the 22 nm process node for all Series 3 devices, Silicon Labs is addressing the growing demand for more powerful and efficient far-edge devices across a wide range of IoT applications—from smart cities and industrial automation to healthcare, smart homes, and beyond. These new SoCs offer device makers a scalable, secure platform to create the next wave of innovative, high-performance IoT products.

Learn More About the Series 3 Platform at Works With 2025 

To learn more about the Series 3 platform and how it is advancing wireless connectivity, visit:

Learn more about Series 3 Wireless PlatformLearn more about SiMG301Learn more about SiBG301

Additionally, Silicon Labs will highlight the SiXG301 along with its portfolio of industry-leading innovations during the 2025 Works With conference series. This global event brings together industry experts to explore the best practices, emerging technologies, and transformative trends shaping the industry. The conference will be hosted across multiple international locations, with a virtual edition available for broader accessibility:

Works With Summit: October 1-2 in Austin, TXWorks With Shenzhen: October 23Works With Bangalore: October 30Works With Virtual: November 19-20

Learn more about Works With today.

About Silicon Labs Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers with the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

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SOURCE Silicon Labs

Open-Sources Neuro® AI Multi-Agent Accelerator

TEANECK, N.J., May 22, 2025 /PRNewswire/ — Cognizant (Nasdaq: CTSH) today announced that it has open-sourced its Neuro® AI Multi-Agent Accelerator for research and academic use. This open-source software enables domain experts, researchers, and developers to immediately start prototyping and building agent networks across virtually any use case. The open-source software will help accelerate AI adoption by promoting collaboration in building and customizing multi-agent systems for adaptive operations and real-time decision-making. Enterprises can leverage Cognizant’s Multi-Agent Services Suite to deploy networks of agents in a commercial setting at scale and to efficiently manage them in production, under a commercial license.

The AI Agents Market is anticipated to rapidly grow over the next five years, from a value of USD 5.1 billion in 2024 to a projected worth of USD 47.1 billion by the year 2030. Today’s news speeds how enterprises can leverage interconnected agents to explore new revenue streams and drive scalable business value. Developed by Cognizant’s AI Lab, the open-sourced software for Neuro® AI Multi-Agent Accelerator demonstrates Cognizant’s leadership in AI innovation and its commitment to advancing the application of AI Agents.

Clients like Telstra, Australia’s leading telecommunications and technology company, are working with Cognizant to test and deploy multi-agent systems.

“The open sourcing of the Neuro AI Multi-Agent Accelerator will further empower our teams to rapidly prototype and integrate existing AI agents, and help accelerate our software development lifecycle,” said Telstra’s Group Executive for Product and Technology, Kim Krogh Andersen. “We’re already starting to see the potential for gains in quality, velocity and efficiency as a result.”

Cognizant has also helped a healthcare company create a Contract Negotiator agent network that speeds up medical appeal processing times, as well as a consumer packaged goods firm for analyzing supply chain management. Cognizant is in the process of more than 65 conversations with clients around agentic AI.

Building a successful multi-agent network requires the ability to orchestrate diverse agents, tools, and knowledge sources — including general-purpose large language models (LLMs) and organization-specific systems like service level management (SLMs) or retrieval-augmented generation (RAG) frameworks. Cognizant’s Neuro AI Multi-Agent Accelerator aims to enable virtually seamless integration with APIs, RAG, and third-party agents like Salesforce’s Agentforce, Google’s Agentspace, or Crew AI—via its native Model Context Protocol (MCP) or standard API calls. An optional inter-agent coordination protocol allows these agents to autonomously organize, delegate tasks, and route processes—boosting efficiency and minimizing errors. Agent2Agent (A2A) protocol is also supported, which expands agent collaboration across clouds, platforms, and organizational boundaries.

“To stay competitive in the era of agentic AI, enterprises must be free to experiment—to explore how agents can transform business processes and drive operational efficiencies,” said Babak Hodjat, Chief Technology Officer of AI at Cognizant. “By open-sourcing Neuro AI Multi-Agent Accelerator, we’re expanding access to our cutting-edge multi-agent technology—empowering developers to innovate faster, and enabling decision-makers, regardless of technical background, to rapidly prototype systems and directly observe their impact on key performance indicators.

“Agentforce is built on Salesforce’s deeply unified platform that is open and extensible, empowering our ecosystem of partners and builders to innovate with AI that’s grounded in trust. Cognizant’s decision to open source its Neuro AI Multi-Agent Accelerator exemplifies the kind of partnership that helps our customers move faster and innovate with confidence,” said Gary Lerhaupt, Vice President of Product Architecture, Salesforce. “Together, we’re enabling enterprises to deploy agents that think, collaborate, and deliver value—across every corner of their business.”

Neuro® AI Multi-Agent Accelerator – Key Features:

Intelligent Opportunity Discovery: Provide a company name or problem area, and the Agent Network Designer will automatically propose a tailored agentic network aligned to your use case—helping you move from idea to implementation faster.Rapid and Streamlined Customization: Quickly build and modify multi-agent systems using natural language or leverage prebuilt templates for domains like loan origination, customer service, retail optimization, and intranet automation—dramatically reducing development cycles and risk.Scalable, Distributed Operation: Connectors support homegrown tools, APIs, and third-party agents like Salesforce’s Agentforce and Google Agentspace via Model Context Protocol (MCP) or standard API calls. A coordination layer enables agents to intelligently self-organize, distribute tasks, and route processes—boosting efficiency and reducing errors.Secure Private Data: Supports regulated industries such as finance and healthcare by isolating confidential information through private data channels to support compliance and data protection.LLM and Cloud Provider Agnostic: Easily switch between open-source and most commercial LLMs, as well as private/public cloud providers, without the need for system rebuilds.Extensible Coded Tools: Enhance agent networks with custom-coded tools—vital for grounding agent decisions in real-time data, or for defining logical boundaries that trigger human intervention where needed.Multi-server, Distributed Deployment: Run agent sub-networks across multiple servers, enabling scalable architectures that support parallel processing, geographic distribution, or segmented use cases.Data-Driven Network Definition: Define and update your agentic systems entirely via data-only configuration files—supporting version control, auditability, and rapid reusability across projects.Agent Testing Capability: Use the Agent Network Tester to identify bottlenecks or breakdowns within your network. Get actionable insights into coordination issues, agent logic gaps, or integration errors.

Cognizant Scales Agents to 330,000 people via its Intranet, 1Cognizant

Thousands of employees now use 1Cognizant, an intranet assistant powered by its Neuro AI Multi-Agent Accelerator. This tool consolidates and organizes multiple agents to efficiently help employees with various tasks, from reserving meeting rooms and calling cabs to handling inquiries like moving countries or getting married. 1Cognizant can now provide immediate actionable advice and assistance to employees, increasing efficiency and breaking down internal silos.

For more information visit our landing page or our blog.

About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life.

See how at www.cognizant.com or @cognizant.

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