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  • Amul Hikes Milk Prices by INR 2 Per Litre, Consumers Feel Inflation Heat !

    Vadodara,May 14 (BNP): Dairy major Amul has increased the prices of its packaged milk variants by ₹2 per litre, with the revised rates coming into effect from May 14 across the country.

    Amul Hikes Milk Prices by INR 2 Per Litre, Consumers Feel Inflation Heat !

    The price hike applies to popular variants including Amul Gold, Amul Shakti, Taaza, Cow Milk and Slim & Trim. Following the increase, a 500 ml pouch of Amul Gold will now cost ₹35, while Amul Shakti and Slim & Trim are priced at ₹32 and ₹26 respectively in Gujarat.

    The move has triggered concern among consumers in Vadodara, where residents said the rising prices of essential commodities are putting additional pressure on household budgets. Many homemakers and middle-class families expressed worry over managing daily expenses, stating that milk is an essential item consumed in almost every household.

    The Gujarat Cooperative Milk Marketing Federation (GCMMF), which markets Amul products, said the increase amounts to nearly 2.5 to 3.5 per cent and marks the first hike in milk prices since May 2025.

  • ENTECH 2026 ready to roll with new attractions

    SYDNEY, 14 May 2026 – ENTECH, Australia’s longest-running AV trade roadshow and the only event for AV and entertainment technology professionals that visits every major population centre, is back for 2026. Starting next week it will tour five cities across the country with a packed one-day program of seminars, hands-on demonstrations and its new Tech Train.

     

    Entech

    ENTECH Roadshow to Experience event

    The ENTECH Roadshow kicks off in Sydney on Tuesday 19 May followed by Brisbane on Thursday 21 May, Melbourne on Tuesday 26 May, Adelaide on Thursday 28 May and wraps up its Australian tour in Perth on Tuesday 2 June.

    A highlight of every city stop, the Tech Train runs three times daily departing at 12pm, 1:30pm and 3pm from the NW Group ENTECH Theatre. Hosted by Keils, the guided floor walk takes attendees through exhibitor stands to see the latest products and technologies in action.

    ENTECH CEO Kate McKenzie explained, “The Tech Train is the fastest way to get across what’s new without missing a thing.”

    This year ENTECH also introduces two brand-new interactive demo zones, an Audio Demo Zone and a Tech Demo Zone, running back-to-back 15-minute sessions throughout the day.

    McKenzie added, “Both zones offer attendees a close-up look at new systems from leading manufacturers, with audio sessions running from 11:30am and Tech sessions from 12:30pm.”

    The Keynotes will be in the NW Group Theatre with hot topics at midday including Electrical Compliance to which McKenzie added, “Here our industry will detail the current hot mess of state-by-state regulations, Test and Tag and the dreadful new electrical Certificate of Compliance risk. Australia and New Zealand are the only places on earth that do Test and Tag in such a shambolic manner, and the eCoC is real: ENTECH will meet it at one of our venues.”

    Immediately after the keynote, attendees can join Susan Twartz as she seeks to unify the challenging induction regimes, with some solid examples of a unified venue approach. Sessions run all day in the Theatre and like all ENTECH experiences, they are free.

    The main event is the trade show itself which features most major distributors across pro audio, lighting, staging and vision for the entertainment and installation markets. With 60 stands the floor is bust and all attractions are contained within the show so it is easy and efficient to navigate, making even the most time poor people happy.

     

    ENTECH CEO Kate McKenzie

    Kate McKenzie concluded, “Running since 1994, ENTECH is a one-day trade event designed for integrators, AV designers and end-users who want direct access to top suppliers and manufacturers. The compact format keeps things sharp, so exhibitors focus on key and new products only and conversations on the floor are worth having. With 30% of attendees carrying annual budgets of $100K or more, it’s a quality crowd.”

    After the Australian ENTECH the roadshow is staged fresh in NZ, opening at the new Auckland International Convention Centre on Tuesday 28 July then rolling Thursday 30 July into Lower Hutt Events Centre in Wellington, and crossing the straight to Te Pae in Christchurch for Tuesday 4 August.

    Attendance is free for trade guests.

  • AVer and Lightware Launch Global Collaboration to Enhance AI-Powered Video Experiences

    AVer and Lightware Launch Global Collaboration to Enhance AI-Powered Video Experiences

     

    Taipei, Taiwan – May 14: AVer Information Inc. , an award-winning provider of AI audio-video solutions, today announced a worldwide collaboration with Lightware Visual Engineering. This joint effort brings together AVer’s AI-powered camera technology and Lightware’s premier signal management solutions to address the growing demand for high-quality video in modern hybrid environments.

    By featuring AVer’s Pro AV and USB video conferencing lines alongside the Lightware Taurus UCX, Taurus TPX, Taurus TPN, and USB20 Extender Family, the two companies are providing a comprehensive visual and connectivity portfolio for global enterprise and education markets.

    Focusing on the User Experience

    This collaboration is centered on providing users with a streamlined approach to “Bring Your Own Meeting” (BYOM) setups. By utilizing AVer’s AI-driven imaging designed— for intelligent tracking and framing — together with Lightware’s signal delivery platforms, organizations can create professional grade meeting spaces that are easy to navigate and operate.

    “At AVer, we are constantly looking for ways to enhance how people connect through our AI audio-video solutions,” said David Kuo, President of AVer Information Inc. “Collaborating with Lightware allows us to showcase our professional cameras within a world-class connectivity environment. We are excited to define a new benchmark for the Pro AV community, illustrating how our combined portfolios advance modern collaboration.”

    “Lightware is excited to join forces with AVer to highlight the power of high-quality imaging combined with world-class signal management,” said Gergely Vida CEO at Lightware. “The combination of the Taurus product family and AVer’s camera solutions creates the ideal foundation for a professional meeting space.”

    See the Solutions in Action

    The highlight of this collaboration is the ability for partners and customers to see these solutions working side-by-side in real-world scenarios. AVer and Lightware are inviting the industry to explore these setups at dedicated training and experience hubs.

    • Düsseldorf: The Lightware Düsseldorf Training Center is now featuring AVer’s AI tracking cameras as part of its live demonstration environment.
    • Dubai & London: Additional showcases are coming soon to the Lightware Dubai and London Experience Centres, providing regional hubs for professionals to see these solutions paired together in person.

    A Shared Vision for the Future

    As leaders in their respective fields, AVer and Lightware are dedicated to enhancing the professional AV and video conferencing landscape. By aligning AVer’s AI-driven visual technology with Lightware’s world-class signal management, this collaboration offers a forward-thinking approach to modern, flexible workspaces. Together, the two companies are focused on making professional grade collaboration more accessible and effective for users worldwide.

  • Spendflo Launches Flo AI: An Autonomous Procurement Workforce for Mid-Market Companies

    Flo AI runs the full intake-to-pay lifecycle autonomously, giving lean procurement teams the capacity to operate as a much larger function without the headcount to match.

    San Francisco, CA – May 14: Spendflo has launched Flo AI, an autonomous procurement workforce designed for mid-market companies. Flo AI runs the complete procurement lifecycle: intake, approvals, vendor management, contract review, and accounts payable, as a single connected system. It does not assist procurement teams. It acts on their behalf.

    Most companies at this stage run procurement with a small team, often one to five people, managing a volume of requests, renewals, and vendor relationships that a larger operation would handle with a dedicated department. Flo AI was built for exactly this: giving lean procurement functions the capacity to operate at a speed and scale that was previously out of reach.

    Three agents. One connected system.

    Flo is made up of three purpose-built agents, each covering a distinct phase of the procurement lifecycle.

    • Flo Procure handles every purchase request from first submission to approved purchase order. It routes requests, checks budget and policy, collects vendor documentation, and drives approval workflows to completion. Requests no longer wait on a procurement manager to coordinate them through the process.
    • Flo Contracts reads, redlines, and tracks vendor agreements. It surfaces non-standard clauses, extracts key commercial terms, and flags upcoming renewals before they slip through. Every contract processed through Spendflo informs how Flo Contracts handles the next one.
    • Flo AP (Accounts Payable) matches incoming invoices against purchase orders and contracts, routes exceptions for human review, and processes payment. Because Flo AP shares context with Flo Procure and Flo Contracts, it verifies invoices against what was actually agreed at sourcing, not just what the vendor submitted.

    The three agents work as one system. Context carries forward at every stage. What Flo Procure learns about a vendor informs how Flo Contracts reads their agreement. What Flo Contracts extracts from the agreement informs how Flo AP handles the invoice. This continuity is what separates Flo from the point solutions most procurement teams are stitching together today.

    The problem Flo AI was built to solve

    Mid-market companies face a specific procurement challenge. They have outgrown informal processes but have not yet built the procurement infrastructure that larger organisations rely on. The gap is filled by small teams doing high volumes of manual work: chasing approvals, reconciling invoices, managing renewals, and fielding requests from across the business.

    The tools available to them have not kept up. Most procurement software was designed either for large enterprise deployments with dedicated implementation teams, or for early-stage companies with simpler needs. Point solutions for intake, contracts, and accounts payable exist in abundance. What has been missing is a system that connects them, one that carries the context of a purchase request all the way through to the payment that closes it.

    Flo was built on that full context from the ground up. Since founding, Spendflo has processed more than $3.2 billion in total spend across invoices, purchase orders, and contracts on its platform. That data informs how Flo categorises spend, identifies exceptions, and understands what efficient procurement looks like across different industries and company sizes.

    Siddharth Sridharan, CEO, Spendflo commented: “The companies we work with are not looking for more software to manage. They are looking for a procurement function that runs. Flo handles intake, approvals, contracts, and accounts payable. What remains for the procurement team is the work that actually requires their judgment: vendor strategy, commercial negotiation, and the decisions that move the business forward. We are starting to see a new kind of procurement professional emerge at these companies. Someone who thinks in systems, sets the strategy, and lets the agents execute. That is the direction this is heading.”

    The rise of the procurement engineer

    With this launch, Spendflo is introducing a new role it believes will define the next generation of procurement operations: the procurement engineer.

    The procurement engineer is not a coordinator. They do not spend their days chasing approvals, tracking down documents, or manually reconciling invoices. They configure and orchestrate an AI agent workforce to run procurement operations end to end. They design the workflows Flo executes. They own the vendor strategy Flo acts on. They set the policies Flo enforces. Their time goes to the work that requires human judgment: negotiations, vendor relationships, commercial strategy, and the systems thinking that makes procurement a lever for the business rather than a cost centre behind it.

    This is a structural shift in what procurement functions look like. Most procurement teams today are built around coordination and process management. People spend the majority of their time moving information between systems and stakeholders. As AI agents take over that operational layer, the procurement function reorganises around a smaller, more senior profile: one person with strong commercial instincts and deep systems thinking, running an agent workforce that executes on their behalf.

    The analogy is the GTM engineer, a role that emerged when revenue teams realised that configuring and orchestrating go-to-market tooling required a distinct skill set closer to systems design than sales execution. Procurement is undergoing the same shift. The procurement engineer is the person who makes Flo smarter and more precisely tuned to their organisation over time. They are not replaced by AI. They are the ones who run it.

    For mid-market companies, lean procurement is not a constraint. It is the operating model. One procurement engineer orchestrating an agent workforce will run procurement with more speed, more intelligence, and more commercial impact than a headcount-heavy team running manual processes.

    Availability

    Flo is available now. It is designed for mid-market companies between $50 million and $1 billion in revenue, and connects to existing ERP, finance, and contract infrastructure without requiring organisations to replace current systems.

     

     

  • NIIT Limited announces consolidated results for Q4 and Financial Year 2025-26

    New Delhi, May 14: NIIT Limited (Ticker Symbol: NIITLTD), a leading skills and talent development corporation, announced its consolidated results for the quarter and financial year ended March 31, 2026.

    In Q4 FY’26, the company recorded Net Revenue of Rs. 997 million, up 16% YoY. EBITDA was near breakeven at Rs. (0.2) million.

    During the financial year, NIIT recorded consolidated Net Revenue of Rs. 3,902 million. EBITDA was Rs. (40) million. Profit after tax was Rs. 53 million, and EPS stood at Rs. 0.39. 

    The results were taken on record at the meeting of the Board of Directors held on May 14, 2026. 

    The Board recommended a final dividend of Rupees One per equity share.

    In FY’26, NIIT made significant investments to strengthen its enterprise offerings, while broadening its go-to-market strategy across Technology as well as BFSI & Other programs. The company also introduced a slew of new offerings to serve both early-career learners and working professionals. 

    Vijay K Thadani, Vice Chairman & Managing Director, NIIT Limited, said, “FY’26 marked a year of strategic transformation for NIIT, as we strengthened our enterprise portfolio, expanded AI-first offerings, and accelerated the integration of AI across our ecosystem. Even as we continue to invest in long-term capability building and new growth areas, the momentum in enterprise learning and technology programs reinforces the growing demand for outcome-driven skilling solutions.” 

    In Q4, the Consumer business which grew 21% YoY and contributed 37% to overall revenue for the quarter. Enterprise business saw steady growth of 13% YoY and contributed the balance 63%.

    During the quarter, Technology Programs grew 22% YoY, contributing 70% of total revenue. Revenue from BFSI & Other programs grew 4% YoY, contributing the remaining 30%. Broad basing of customers, focus on upskilling of working professionals, and investments in new product offerings helped the business achieve growth.

    Pankaj Jathar, CEO, NIIT Limited, said, “We have delivered structured growth this year, driven by strong momentum across enterprise learning, BFSI, and technology programs. Our expanding partnerships across mobility, energy, and financial services, along with the growing adoption of AI-led skilling, reflect the increasing demand for outcome-driven capability building at scale.” 

    The company continued to strengthen its AI-led skilling portfolio during the year through new GenAI programs, enterprise capability-building initiatives, and the acquisition of iamneo, an AI-powered deep-skilling SaaS platform. 

    “As AI reshapes the future of work, building practical, scalable, and industry-aligned capabilities will remain central to creating a future-ready workforce,” said Rajendra S Pawar, Chairman and Co-Founder, NIIT Group. 

    The 8th edition of the annual customer conference, NIIT Confluence 2026, a flagship platform in the Learning and Development (L&D) landscape, was held in February 2026. The conference brought together a distinguished lineup of industry leaders, learning professionals, and business executives from leading organizations across sectors. The event witnessed participation from 82 delegates representing 60 companies. 

    NIIT launched the NIIT India Skills Gap Report 2026 in partnership with YouGov, based on insights from 3,500 respondents across students, professionals, recruiters, CXOs and academia. The report highlighted the growing importance of digital, data, cybersecurity and AI-related skills, alongside the increasing shift towards skills-first hiring, certifications and continuous upskilling.

    NIIT also strengthened its AI learning portfolio with the launch of four new GenAI programs: GenAI Spark Program for Students, GenAI Spark Program for Educators, GenAI Applied Program for No-Code Apps and GenAI Applied Program for Practitioners. The programs were designed to help students, educators and professionals build practical AI skills through hands-on learning across areas such as content creation, workflow automation, no-code applications and real-world AI adoption. 

    iamneo, an NIIT venture, launched Agent Smith, a unified AI assistant that consolidates intelligence across coding practice, placement automation, and hiring workflows within its edtech and hiring platform. Agent Smith delivers code suggestions, an advanced debugger, and end-to-end platform integration, from early-career learning through placement, to keep developers in flow and reduce context-switching. The company also initiated a Work Integrated Learning Program (WILP) to build scalable, high-quality talent pipeline aligned with industry needs.

    Other Highlights 

    • During Q4 FY’26, NIIT released two position papers “AI, Work and the Future of Talent in Indian IT” and “The Experience Age Imperative: Composable CRM, Real-Time Orchestration and Governed GenAI in the Flow of Work.” The papers explored how AI is reshaping talent requirements and operating models in the IT industry, while also highlighting the need for more structured and governance-led approaches to AI adoption in customer experience and CRM environments.
    • NIIT Ltd partnered with Sporting Club Delhi as Associate Sponsor and Official Skilling Partner for Season 12 of the Indian Super League (ISL).
    • NIIT trained 900 POs and 500 clerical recruits for a PSU bank, while IFBI partnered with banks, NBFCs, insurers, and broking firms for training across Wealth Advisory, Gold Loans, Channel Sales, and employee upskilling in sales, compliance, and digital capabilities
    • As part of its continued focus on AI-led capability building, NIIT launched the Building Agentic AI Systems program. The program is designed to equip engineers with the skills required to build, deploy, and manage autonomous and agentic AI systems.
    • StackRoute, an NIIT venture, hosted the third edition of the Digital Architect Conclave (DAC) 2025, a dedicated platform for digital architects to engage, exchange insights, and explore emerging trends in enterprise architecture. It also hosted BAL&NCE Bengaluru, an invitation-only leadership forum that brought together senior industry leaders to discuss engineering excellence, enterprise transformation, and AI-led capability building.
    • StackRoute secured repeat renewals and new wins across consulting, technology, and financial services enterprises, while expanding multi-geo engagements across GenAI, cloud, data, DevOps, and cybersecurity. The business trained over 6,100 learners and enrolled 270 participants in transformation programs, achieving an NPS of 70.
    • StackRoute further strengthened its mentor ecosystem across AI, cloud, DevOps, SRE, data engineering, and enterprise architecture through certification-led upskilling across platforms including Azure, AWS, NVIDIA Generative AI, GitHub Copilot, and enterprise architecture.
    • RPS Consulting, an NIIT subsidiary, advanced its GenC program through large-scale AI and Copilot initiatives and earned APAC recognitions from VMware by Broadcom and Google Cloud for training and upskilling excellence
    • RPS Consulting trained 2,000+ learners across AI and deepened its enterprise AI footprint through large-scale engagements, including programs for a BFSI-focused GCC
    • The company partnered with a leading global beverage company to strengthen frontline sales capabilities through structured learning interventions
    • NIIT expanded its enterprise portfolio across mobility, energy, and cybersecurity through transformation initiatives with leading automotive, oil & gas, and global technology organizations
    • NIIT launched 10 globally benchmarked AI and technology certification programs across AI, cloud, and cybersecurity
    • NIIT IFBI also added a new partner campus to expand residential training capacity and accelerate deployment of BFSI talent
    • During FY’26, NIIT acquired 70% stake in iamneo, a Coimbatore-based, AI-powered deep-skilling SaaS platform. This acquisition has expanded NIIT’s ability to deliver outcome-oriented skilling solutions at scale across Universities, Global System Integrators (GSIs), and Global Capability Centers (GCCs).

  • Air India Announces Major Summer Flight Cuts Due to Fuel Prices and Airspace Restrictions !

    New Delhi, May 14 (BNP): Facing mounting financial pressure amid the ongoing fuel crisis and geopolitical tensions, Air India has announced a major reduction in its international summer flight operations, suspending and scaling down services on several key routes till August 2026.

    Air India Announces Major Summer Flight Cuts Due to Fuel Prices and Airspace Restrictions !

    According to the revised schedule, the airline will operate nearly 37 per cent fewer international flights between June and August compared to April operations. Monthly international departures are expected to drop significantly as rising aviation turbine fuel prices, restricted airspace due to the West Asia conflict and declining route profitability continue to impact operations.

    Several major routes connecting India with North America, Europe, Australia and Asia have been affected. Services on routes such as Delhi-Chicago, Delhi-Shanghai and Chennai-Singapore have been temporarily suspended, while flight frequencies on destinations including Paris, Melbourne, Singapore and Kathmandu have been reduced.

    Air India, however, said it will continue operating more than 1,200 international flights every month during the affected period. The airline has offered affected passengers options including alternative flights, free rescheduling and full refunds if the revised schedules are not suitable.

    The operational changes come at a time when the Tata Group-owned airline is battling heavy financial losses, rising fuel costs and global travel disruptions. Industry experts believe the airline is prioritising cost control and operational stability as part of its ongoing turnaround strategy.

    Air India has also reportedly initiated several internal cost-cutting measures, including curbing discretionary spending and reviewing operational expenses, as it attempts to navigate one of the toughest phases for the aviation sector in recent years.

  • Sdeira Group and Metal Park sign MoU – Integrated Workforce and Infrastructure in the UAE

    UAE, 14 May 2026 – Sdeira Group has signed a Memorandum of Understanding with Metal Park, the world’s first pay-as-you-go metals ecosystem located in KEZAD, to co-develop a customised staff accommodation community in KEZAD Al Mamourah A dedicated to Metal Park’s companies and the wider metals manufacturing and operations base. The collaboration brings together Sdeira’s integrated group-living platform and Metal Park’s innovative industrial model to create a workforce community designed around the specific needs of metals industry tenants and end users.

    Metal Park, a 500,000 sqm ecosystem launched in KEZAD with an investment of AED 430 million, is engineered to help downstream metals businesses scale using a flexible, pay-as-you-go framework, supported by production, storage and business hubs in one connected destination. By aligning a dedicated accommodation community with this ecosystem, the MoU aims to ensure that the people powering metals production benefit from the same level of planning, integration and operational efficiency as the industrial assets they serve.

    Sdeira Group and Metal Park sign MoU - Integrated Workforce and Infrastructure in the UAE

    The planned community will leverage Sdeira’s experience in developing and operating integrated workforce environments close to industrial and logistics corridors, ensuring organised movement, shared services and daily-life support that are closely mapped to shift-based operations and safety requirements in metals manufacturing. For Metal Park tenants, this is intended to translate into improved workforce attraction and retention, reduced commuting time and a more stable operational base within KEZAD.

    Commenting on the MoU, a Sdeira Group spokesperson said:

    “Sdeira Group is redefining group living communities in industrial and economic zones, to be integrated ecosystems enabling industries and enforcing infrastructures, and that aligns with Metal Park’s scalable and flexible model, which marks the importance of this partnership through co-planning a customized staff accommodation community in KEZAD Al Mamoura A.”

    A representative of Metal Park added:

    “Our ecosystem is built to remove complexity and heavy upfront investment for metals businesses. Partnering with Sdeira allows us to offer a more complete proposition to our members—linking advanced industrial facilities with high-quality, well-managed accommodation within the same strategic industrial zone.”

    The MoU forms a part of Sdeira’s broader program at Make it in the Emirates 2026, where the Group is highlighting how integrated group living can act as critical infrastructure for industrial clusters across KEZAD and beyond.

  • Micron Redefines AI Performance With Sampling of 256GB DDR5 Server Module

    Bangalore, India, May 14: Micron Technology, Inc. (Nasdaq: MU), today announced it has sampled 256GB DDR5 registered dual in-line memory modules (RDIMM) to key server ecosystem enablers. The module is built on the company’s leading-edge 1-gamma technology, which is capable of speeds up to 9,200 mega transfers per second (MT/s), greater than 40% faster than modules in volume production today. Micron’s module employs advanced packaging techniques, 3D stacking (3DS) multiple memory dies connected by through-silicon vias (TSVs). Combined with Micron’s 1-gamma DRAM, these innovations provide the capacity, speed and power efficiency required to scale next-generation AI systems. A single 256GB module can reduce operating power by more than 40% versus two 128GB modules, enabling greater efficiency for modern AI data centers.

    Ecosystem partner validation

    Micron is collaborating with key ecosystem enablers to validate the 256GB 1-gamma DDR5 RDIMM across their respective current and next-generation server platforms. This co-validation ensures broad platform compatibility and accelerates the path to production deployment for data center customers building AI and HPC infrastructure at scale.

    “Capacity, bandwidth, and power are the defining drivers of AI efficiency. With our 256GB DDR5 RDIMM, Micron is enabling servers to deliver significantly higher performance,” said Raj Narasimhan, senior vice president and general manager of the Cloud Memory Business Unit at Micron. “Built on our 1-gamma DRAM using advanced 3DS and TSV packaging, this solution delivers industry-leading speed and power efficiency, helping data center architects scale AI infrastructure more efficiently.”

    Meeting the memory demands of the AI era

    The rapid proliferation of large language models (LLMs), agentic AI, real-time inference and high-core-count CPU workloads is driving an urgent need for greater enterprise server memory capacity, higher bandwidth and improved power efficiency. Micron’s 256GB DDR5 RDIMM addresses these growing requirements head-on, enabling server architects, hyperscale operators and platform partners to maximize memory capacity per socket while operating within the thermal and power boundaries of modern data center infrastructure.

    Sampling and availability

    Micron’s 1 gamma-based 256GB DDR5 RDIMM is currently sampling to key server ecosystem enablers for platform validation. 

  • Magna Systems adds telco solutions From Coverage to Experience alongside Building the Future Broadcast Stack at BroadcastAsia 2026

    20-22 May at Singapore Expo on stand 5D1-1

    Magna Systems adds telco solutions From Coverage to Experience alongside Building the Future Broadcast Stack at BroadcastAsia 2026

     

    SINGAPORE, 14 May 2026 – Magna Systems is adding the latest telco solutions From Coverage to Experience in 4G, 5G and NTN Performance alongside its Building the Future Broadcast Stack demos at BroadcastAsia 2026 from 20-22 May at Singapore Expo on stand 5D1-1.

    Magna’s telco offering at the show includes demonstrations of LIG Accuver solutions for comprehensive wireless testing, measurement and optimisation for 4G, 5G, emerging 6G networks as well as NTN (Non-Terrestrial Networks).

    They will also be demonstrating JSDenki’s premier electromagnetical compatibility (EMC) test and measurement solutions and WaveControl’s professional instruments for measuring and monitoring electromagnetic fields (EMF).

    Alongside these will be demos from iBWave and their solutions for designing, planning and surveying in-building wireless networks, including Wi-Fi, 5G, LTE and 5G and Pegatron the company that specialises in the development of 5G private network products and energy-saving solutions.

    The telco solutions on Magna’s BroadcastAsia stand will further complement cutting-edge and best-of-breed solutions and demonstrations from their broadcast technology partners including:

    • Actus showcasing its latest Compliance Logger, featuring enhanced content recording, monitoring, and regulatory compliance capabilities

    • Arkona demonstrating its Easy IP Router together with the Manifold Production Multiviewer on the AT300, highlighting flexible and scalable IP-based signal routing and monitoring for modern broadcast operations

    • Caton Technology demonstrating Caton Media XStream, its intelligent IP transport platform, showcasing AI-driven smart routing, resilient delivery architecture and real-time network visibility for high-quality live video delivery across regions

    • Chyron showcasing its end-to-end production graphics solutions, highlighting the Prime Platform, seamless newsroom integration and advanced VR/AR and cloud-based live production workflows

    • Dalet presenting the newest release of the Dalet Flex System, demonstrating flexible, cloud-native media workflows for content production, management and distribution

    • Enensys introducing IPGuardX and StreamProbe, focusing on robust signal protection, advanced monitoring and enhanced reliability for contribution and distribution networks

    • Kaltura showcasing its Streaming Platform alongside its new Conversational Avatars, highlighting interactive and immersive video experiences

    • NetOnLive presenting LiveOS, a software-defined, IP-based production system that virtualises the TV control room and OB truck by converting dedicated hardware into software modules running on IT servers over a SMPTE ST 2110 network, enabling local, remote and decentralised live production

    • Providius presenting NVRT, demonstrating how it provides critical network visibility for organisations that depend on secure, high-value IP network performance

    • RTS unveiling its latest intercom solutions including NoMAD and RVOC, designed to support scalable, IP-based communications for broadcast and live production teams

    • Synamedia showcasing a set of end‑to‑end video distribution and streaming capabilities, all demonstrated via their demo portal with the focus on flexibility, resilience and cloud‑native delivery models

    • TAG Video Systems showcasing the latest version of its Multiviewer, including QC Station, Operations Panel and Lens designed for comprehensive monitoring in IP-based broadcast infrastructures

    • Techex demonstrating TxDarwin and TxEdge, illustrating how software-defined technologies can modernise and increase the flexibility of Master Control Room (MCR) operations

    • TSL presenting its latest Hummingbird broadcast control system, alongside audio monitoring solutions and control panels designed to improve efficiency and enable centralised control

    Magna Systems will also have a full team of product specialists from across the globe at BroadcastAsia 2026 to help visitors to their stand explore opportunities arising from integrating the very latest broadcast and telco technologies.

  • Harness Report Finds AI Advancing Faster Than Developer Productivity Metrics

    India, May 14 : Harness, the AI Software Delivery Platform™ company, today released The State of Engineering Excellence 2026, a new study showing that AI coding tools have transformed the day-to-day work of software developers faster than the industry’s measurement frameworks can keep up. The result is a growing visibility gap: engineering organizations are reporting record productivity gains while simultaneously acknowledging they no longer have the right instruments to tell whether those gains are real — or what they’re costing.

    The AI Productivity Paradox

    Based on responses from 700 engineering practitioners and managers across the United States, the United Kingdom, India, France, and Germany, the report tells a complicated story. AI adoption is now the default in engineering organizations, and self-reported impact is overwhelmingly positive — but the cost is accumulating in places organizations aren’t watching.

    • Leaders are reporting big gains from AI. 89% of engineering leaders say developer productivity has improved since adopting AI coding tools, and 88% say developer satisfaction has improved.
    • Yet developers are spending more of their day on manual work. 81% say developers spend more time in code review since adopting AI coding tools, with 28% reporting a significant increase of more than 30%.
    • And nearly a third of that work isn’t tracked anywhere. Organizations estimate approximately 31% of developer time is now consumed by invisible work like reviewing AI-generated code, fixing bugs, and context switching between tools.

    “AI coding is the first technology shift in modern software that has changed not just what developers build, but how they spend their hours,” said Trevor Stuart, SVP and General Manager at Harness. “Cloud and the internet were infrastructure revolutions layered underneath the developer. AI is reshaping the developer’s job entirely, and the measurement frameworks that the industry has relied on for the past decade weren’t built for this new unit of work.”

    Metrics That Don’t Match the Work

    The clearest sign that legacy frameworks aren’t keeping pace is the contradiction in the data:

    • Leaders trust metrics that miss the basics. 89% say their current metrics accurately reflect AI’s impact, yet 94% say key factors, including tech debt, validation time, and developer burnout, are missing from those same metrics. And only 6% believe the frameworks they have today can fix it.
    • The biggest AI challenge is measurement itself. When asked to name the single biggest challenge, the top answers are all visibility problems: measuring true productivity impact (26%), maintaining code quality with AI (24%), and proving ROI to leadership (18%).

    “Engineering leaders are being asked to make multi-year AI investment decisions using dashboards built for a different era of software development,” Stuart added. “At Harness, we’re focused on giving teams visibility into both sides of AI — the code it generates and the cost that comes with it.”

    Developers Don’t Trust How AI Metrics Will Be Used

    Even as productivity dashboards show green, developers are uneasy about how that data will be used. Part of the problem is structural: measurement systems are most often built top-down by leadership, without structured input from the practitioners being measured. When frameworks reflect only the leadership view, they systematically undercount the pressures developers are actually experiencing.

    • The perception gap is wide. Managers are nearly four times more likely than practitioners to report no concerns about how AI productivity data might be used to evaluate them (15% vs. 4%).
    • Fear of surveillance is widespread. 54% fear individual performance evaluations based on AI data. In addition, 46% of respondents cite struggling with pressure to work faster than is sustainable, and the same share report privacy or surveillance concerns.
    • Developers want a say in how they’re measured. 55% want a clear separation between improvement data and performance evaluation, 50% want transparency about what’s being measured, and 49% want to be involved in defining the metrics themselves.

    What Engineering Leaders Should Measure Now

    The frameworks engineering organizations rely on  velocity, DORA, cycle time, developer experience surveys  still work. They just weren’t designed for what AI has changed about the work itself.

    To capture AI’s benefits without missing its costs, Harness recommends that engineering organizations:

    • Start measuring the new unit of work. Add code quality, validation time, cognitive load, and burnout indicators alongside the frameworks built around velocity and cycle time.
    • Treat AI performance as its own discipline. Track AI agent accuracy, acceptance, and cost separately from human developer output, with a shared definition of “good” across the organization.
    • Separate improvement data from performance evaluation. Build the measurement system with developers. Be explicit about how the data will be used, and involve developers in defining the metrics.