Team

WNS Acquires Kipi.ai to Expand Data, Analytics and AI Capabilities

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WNS, a business process management (BPM) company, said it bought Kipi.ai, a data modernisation company working on the Snowflake platform, for an undisclosed amount.  Kipi, based in the US, provides strategy, execution, and managed service capabilities across data engineering, advanced analytics, and data science. The acquisition is a move by WNS to expand its presence in the analytics and AI sector.  Legacy players in the BPM and IT services sector are acquiring artificial intelligence (AI) companies that offer solutions leveraging AI, machine learning (ML), generative AI (GenAI), and analytics to better serve their clients, improve efficiency, and reduce costs. We believe that Kipi’s market-differentiated data modernisation capabilities and talented team are an excellent fit for WNS. Together, we will leverage domain expertise and scalable AI solutions to drive decision intelligence and efficiencies, and to create new revenue streams,” WNS chief executive Keshav Murugesh said in a statement.  Kipi operates in the healthcare, financial services, technology, and manufacturing sectors and has more than 250 proprietary accelerators, enablers, applications, and solutions. It also has more than 600 employees, including over 450 data engineers, solutions architects, data scientists, and business analysts.  “The strong cultural alignment and complementary service offerings between our two firms will unlock the full potential of AI and offer opportunities to grow and better serve our global clients,” said Jason Small, founder and CEO of Kipi.ai.

CoreWeave to provide dedicated compute capacity for OpenAI’s model training and services

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CoreWeave announced a deal to deliver AI infrastructure to OpenAI, expanding OpenAI’s compute capacity for training and delivering its latest models at scale to its hundreds of millions of users around the world. The contract value for this strategic deal is up to $11.9 billion.  As part of this deal, OpenAI will become an investor in CoreWeave through the issuance of $350.0 million of CoreWeave stock. AI Authority Trend: Core Scientific and CoreWeave Announce $1.2 Billion Expansion in Denton, TX “Partnering with OpenAI on this net new contract underscores CoreWeave’s proven ability to deliver reliable and performant infrastructure services, powering AI Innovations for world-leading AI labs,” said Michael Intrator, Co-Founder and Chief Executive Officer of CoreWeave. “We remain a partner-of-choice to meet the bleeding-edge needs of pioneers to unleash AI’s potential to change the world.” “Advanced AI systems require reliable compute, and we’re excited to continue scaling with CoreWeave so we can train even more powerful models and offer great services to even more users,” said Sam Altman, CEO of OpenAI. “CoreWeave is an important addition to OpenAI’s infrastructure portfolio, complementing our commercial deals with Microsoft and Oracle, and our joint venture with Softbank on Stargate.” AI Authority Trend: Governor Murphy and Princeton President Announce Microsoft and CoreWeave as Founding Partners in NJ AI Hub CoreWeave powers the world’s AI innovations with a cloud platform designed specifically for compute-intensive workloads. Purpose-built from the ground up, the CoreWeave Cloud Platform delivers leading-edge compute at cutting-edge scale and speed optimized for AI, enabling leading AI labs and enterprises to accelerate breakthroughs and shape the future. Trusted by some of the world’s leading AI labs and AI enterprises, CoreWeave continues to be the cloud platform provider of choice for those pushing the boundaries of artificial intelligence. AI Authority Trend: CoreWeave First to Announce General Availability of NVIDIA GB200 NVL72 Instances Source – PR Newswire

Alibaba’s AI search engine surpasses 1 million users

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The company also introduced two new features, Business Research and Deep Search, designed to help small and medium-sized enterprises (SMEs) streamline market entry and global sourcing. Alibaba International Digital Commerce Group’s AI-powered business-to-business (B2B) search engine, Accio, reached 1 million users within five months of its launch. The company also introduced two new features, Business Research and Deep Search. It designed them to help small and medium-sized enterprises (SMEs) streamline market entry and global sourcing. Accio is built on Alibaba’s foundational AI technologies, including the open-source Qwen large language model (LLM). It uses industry-specific data and multilingual capabilities to deliver targeted market insights and sourcing strategies. Alibaba owns the world’s two largest online marketplaces by gross merchandise value (GMV), Taobao and Tmall. Taobao ranks No. 1 Deep Search: Precision Sourcing, Simplified Deep Search tackles the complexities of global sourcing by adapting to intricate requirements—whether technical specs, certifications or budget constraints. If a query yields few results, it will intelligently refine searches using synonyms or industry terms, mimicking procurement experts. The feature also vets suppliers for compliance and reliability, delivering AI-curated shortlists in minutes. By translating decades of Alibaba’s trade data into an intuitive interface, it empowers newcomers to source like seasoned professionals. Revamping Global Trade with AI A recent Alibaba.com survey of over 4,000 sourcing decision-makers across the US, UK, Germany and France revealed that nearly 64% plan to integrate AI into their sourcing strategies by 2025. Their top motivations include long-term business growth, efficiency improvements and cost reductions. With global trade projected to exceed $33 trillion in 2024, businesses are increasingly adopting advanced technologies to stay competitive. Tools like Accio address this need by simplifying AI adoption. Alibaba.com is also undergoing a comprehensive upgrade to incorporate Accio’s capabilities, empowering its 50 million SME buyers and sellers to identify business opportunities and connect with trustworthy suppliers.

Renesas Unveils PROFINET-IRT & PROFIdrive for RZ Series

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Renesas Electronics Corporation (TSE:6723), a premier supplier of semiconductor solutions, today introduced the PROFINET-certified IRT and PROFIdrive software stack for its RZ/T and RZ/N series of microprocessors (MPU) for industrial networking systems. The initial software versions are available for the RZ/T2M MPU designed for servo motor control applications, and the RZ/N2L for industrial internet gateway applications, such as remote-IO or industrial Ethernet devices. Using Renesas devices with this software stack eases the path for certification of customers’ devices. The new stack is Renesas’ first certified PROFINET software solution that supports PROFINET IRT (Isochronous Real-Time) and PROFIdrive. PROFINET is the leading industrial Ethernet protocol for automation systems and facilitates high-speed communication in industrial automation equipment. Its highest performance class, PROFINET IRT ensures precise and time-sensitive data transfer, making it ideal for real-time applications such as servo drives and motion control systems. This makes PROFINET particularly suitable for applications including manufacturing, robotics and process control, where real-time operation is crucial. “We are happy to extend our industrial Ethernet system support for the RZ/T and RZ/N series MPUs,” said Mohamed Dogar, Vice President of Embedded Processing Business Acceleration at Renesas. “We expect the outstanding market success that we achieved with our RZ/T and RZ/N MPU series to further accelerate with the introduction of our network stack integration. PROFINET is the market leading industrial protocol, and we are delighted to have integrated the Siemens PROFINET IRT Device Development Kit on our devices.” “We are thrilled that our cooperation with Renesas has led to their first certified PROFINET IRT solutions using the Siemens PROFINET Device Development Kit,” said Efrossini Tsouchnika, Vice President Control at Siemens Digital Industries. “Industrial customers can now enjoy seamless integration options provided by Renesas within the PROFINET ecosystem, and we look forward to continuing our collaboration as Renesas invests in future iterations of the PROFINET technology.” PROFINET stack on Renesas’ RZ/T and RZ/N Series Processors The implementation of Renesas’ certified PROFINET IRT stack encompasses all essential features required in industrial equipment communication including PROFINET RT (Real-Time) communication. The software supports cyclic data exchange with a PROFINET IO controller and can handle diagnostic, process, and status alarms, as well as plug and pull alarms. It assigns IP addresses and device names via PROFINET and through the device application. Furthermore, it includes fast startup functionality, shared device support, media redundancy (MRP), and system redundancy (S2). PROFIdrive Simplifies Process to Embed Drive Systems PROFIdrive enables seamless integration of variable speed drives, servo motors, and other motion control devices into automation systems, ensuring efficient communication and operation. PROFIdrive standardizes data exchange between devices, providing key parameters such as speed, torque, and position, which are essential for precise control of drives. It supports both real-time communication through PROFINET IRT and conventional Ethernet, allowing flexibility in various industrial applications. PROFIdrive Profile on Renesas’ RZ/T and RZ/N MPUs Renesas implemented a certified PROFIdrive application example for Application Class 4. This includes the implementation of a drive object with a speed setpoint interface. It supports cyclic data exchange via standard telegrams 1, 2, and 3, as well as acyclic data exchange through the PROFIdrive parameter channel. Additionally, the application encompasses PROFIdrive diagnostics and the state machine for the PROFIdrive General State Machine. It includes the PROFIdrive encoder channel with its respective encoder state machine and offers the simulation of a drive control system.

ABBYY Opens AI Labs to Build More Powerful, More Developer-friendly Document AI Models for Intelligent Process Automation

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USTIN, Texas–(BUSINESS WIRE)–ABBYY has established AI Labs across the United States, Hungary and India to accelerate development of purpose-built AI for intelligent document processing and process automation. The teams of innovators are creating transformative solutions that redefine industry standards for reliable AI and enterprise security and compliance, capitalizing on new market possibilities driven by agentic AI and the need for more developer-friendly experiences. sanjay Nichani, Vice President, AI & Computer Vision who leads the ABBYY AI Labs reporting to Patrick “PJ” Jean, CTO/CPO of ABBYY, commented, “Our proprietary datasets, AI platform and model research and development combined with our deep domain knowledge create foundational intellectual property that will significantly enhance our core solutions and enable expansion into adjacent enterprise applications. We’re building upon decades of leadership in OCR, machine learning, computer vision, and natural language processing, while extending innovations in AI with our industry expertise. This integrated approach powers next-generation multimodal models to deliver more robust, consistent outcomes that transform business processes.” IDC estimates that the intelligent process automation market (IPA) will reach $102 billion by 2028 with OCR and intelligent document processing (IDP) being the fastest growing segments. The new document AI and process intelligence technologies and solutions coming out of the ABBYY AI Labs will enable the company to maintain its leadership position and aggressively compete in the IPA market with new solutions expected to be released during the second and third quarters of 2025. Furthermore, a recent SlashData survey concluded that more than half of developers who use AI (53%) are using it to add AI functionality to applications through third-party APIs and open-source models, or to create AI models by using data to customize, build, train, or fine-tune AI models. “The developer experience is a crucial aspect of our product strategy,” added Nick Hyatt, Vice President, Engineering R&D, reporting to PJ. “The underlying IP and technology Sanjay is building from the AI Labs is the future to improving how businesses can leverage AI and LLMs within their organization to fast-track new applications and capabilities. Our teams look forward to making next-generation ABBYY AI easier to consume with modern APIs and developer tools.”