SINGAPORE, Feb. 4, 2026 /PRNewswire/ — FIC Global, Inc. (TWSE: 3701; FICG), with PRIME Technology as its optical communications brand, will participate in Asia Photonics Expo (APE) 2026, taking place February 4–6, 2026 at Sands Expo and Convention Centre, Singapore. At Booth A521, FICG will highlight its high-speed optical transceiver manufacturing and advanced packaging integration capabilities—enabling customers to address the accelerating demand for higher-bandwidth data center interconnect and improved energy efficiency driven by AI workloads.

As AI training and large-scale deployment continue to ramp from late 2025 into 2026, data centers are increasingly optimizing not only compute, but overall network efficiency and cluster throughput. To support large-scale GPU/XPU clusters, the industry is entering a phase of broad 800G deployments, while 1.6T is moving into early production adoption and expansion. At the same time, tighter power and thermal budgets are accelerating the shift toward lower-power architectures and deeper advanced packaging integration.

With more than 18 years of experience in optical transceivers manufacturing, FICG was among the early adopters of SMT-based manufacturing processes for optical transceivers. To meet next-generation high-speed interconnect adoption requirements, FICG builds on its mature high-precision PCBA/SMT manufacturing foundation and provides integrated advanced packaging capabilities spanning Flip-Chip, Chip-on-Board (COB), Silicon Photonics (SiPh), and Co-Packaged Optics (CPO). Supported by high-speed signal engineering and reliability qualification and testing, together with disciplined quality control systems, FICG enables customers to shorten qualification cycles and accelerate time-to-deployment while improving volume production stability and quality consistency.

As optical transceivers progress into the 800G and 1.6T era, FICG has introduced flip-chip packaging into high-speed optical transceiver manufacturing, while advancing PIC/PD integration and lower-power design directions to help customers improve interconnect bandwidth, energy efficiency, and system scalability. FICG has established key process capabilities and quality control flows spanning from the chip level through module assembly. Through disciplined process parameter control and reliability qualification, FICG strengthens volume manufacturing consistency and ensures stable delivery.

To strengthen global delivery capability and supply chain resilience, FICG is advancing its manufacturing site in Malaysia. The facility is currently equipped with the production readiness and quality management framework required for volume production, and will complement FICG’s existing production lines to improve capacity flexibility and delivery efficiency.

FICG cordially invites industry professionals to visit Booth A521 at APE 2026 to discuss high-speed optical transceiver process integration, advanced packaging, and volume production support solutions, and to explore collaboration opportunities aligned with the rapidly evolving AI and data center interconnect landscape.

MELBOURNE, Australia, Feb. 4, 2026 /PRNewswire/ — It is exciting to share that FlexRule^® has been recognized as Niche Player in the 2026 Gartner^® Magic Quadrant™ for Decision Intelligence Platforms. 

“We are thrilled to be included in the first-ever Gartner^® Magic Quadrant™ for Decision Intelligence Platforms. We believe this recognition supports our Decision-Centric Approach^® and confirms that it fills a critical gap where traditional data-driven approaches fall short. Our approach enables organizations to move from BI to DI using a practical decision-centric methodology, supported by our Open Decision Intelligence Platform.” said Arash Aghlara, CEO of FlexRule. 

FlexRule’s Decision-Centric Approach^®: Enables organizations to consistently make optimized, customer-centric and situation-aware business decisions. 

“Our methodology makes decisions the first-class citizens of organizations so that they leverage our platform to explicitly model decisions using an open standard (Decision Model and Notation with Conformance Level 3, DMN) and therefore, these decision models become the foundation for decision automation and augmentation across various use cases and a wide range of industries such as Banking, Financial Services, Insurance and Government.

Together, the Decision-Centric Approach^® and the Open Decision Intelligence Platform accelerate organizations’ transition from traditional data-driven (BI) practices to a decision-centric enterprise.” said Arash Aghlara, CEO of FlexRule.

The Gartner^® Magic Quadrant™ evaluates vendors based on their Ability to Execute and Completeness of Vision. We are honored to be included among the recognized vendors in this important report. 

Learn more about the Magic Quadrant. 

Source: Gartner Report, Magic Quadrant for Decision Intelligence Platforms, By David Pidsley, Carlie Idoine, etc, January 2026. 

Gartner and Magic Quadrant are a trademark of Gartner, Inc. and/or its affiliates.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

About FlexRule^®:

FlexRule^® is an innovative Decision Intelligence company that provides technology (Open Decision Intelligence Platform) and methodology (Decision-Centric Approach^®), empowering enterprises to automate, augment, and govern their decisions at scale.

We accelerate organizations’ transition from traditional data-driven models to decision-centric organizations. The Decision-Centric Approach^® enables enterprises to make optimized, customer-centric, and situation-aware business decisions by treating decisions as first-class citizens and governing them as enterprise assets.

Media Contact:
Goli Tajadod
FlexRule Pty Ltd 
Goli.Tajadod@FlexRule.com
+1 (323) 99 960 39

As Infobip celebrates 20 years of customer communication innovation, the AI-first company envisions the future of agentic AI

KUALA LUMPUR, Malaysia, Feb. 4, 2026 /PRNewswire/ — Global AI-first cloud communications platform Infobip, celebrating two decades of innovation, predicts an imminent and seismic shift in brand-consumer engagement. Moving away from the current application-to-person (A2P) messaging, Infobip forecasts a widespread shift to an agent-to-person model, eventually leading to a fully autonomous agent-to-agent future by 2030.

The Evolution of Engagement

Swift AI adoption is driving enterprises toward agentic AI communication models, which drive autonomous customer communications across all touchpoints. This technology enables hyper-personalization across multiple channels, creating highly engaging content tailored to individual needs.

Silvio Kutić, Infobip CEO, comments: “How we communicate with brands is constantly evolving. In this new agentic AI world, brands must seize the opportunity to take a holistic approach to communication. They must capitalize on the hyper-personalization made available through agentic AI and rich communication channels like RCS and WhatsApp.”

The Agent-to-Agent Future

Looking ahead to 2030, Infobip envisions personal AI assistants embedded in smartphones handling complex tasks independently. For example, a user’s personal AI could autonomously negotiate with a travel company’s AI to research, book, and purchase a holiday based on the user’s digital habits and preferences.

The Challenge for Brands

To succeed in this new landscape, businesses must eliminate data silos. Effective AI agents require a unified view of customer touchpoints – from marketing to support – to deliver the personalized experience consumers will become accustomed to. Currently, business readiness is low, with only about 5% of enterprise AI agent projects reaching production due to unstructured data and internal barriers.

“Enterprises must act now,” Kutić emphasizes. “Organizational structures that facilitate seamless data sharing will be the key to successful AI agent adoption. While a personal AI agent booking a holiday might seem futuristic today, brands unable to meet this future will risk losing their competitive edge.”

Find out more about 20 years of Infobip: https://www.infobip.com/20-years-anniversary

ENDS 

About Infobip

Infobip is a global cloud communications platform that enables businesses to build connected experiences across all stages of the customer journey, with AI as the driving force of innovation. Through a single, natively built platform, Infobip delivers omnichannel engagement, identity, user authentication and contact centre solutions that help businesses and partners overcome the complexity of consumer communications while driving growth and increasing customer loyalty. Infobip is focused on enabling and accelerating AI adoption as it continues its transformation into an AI-first company. Infobip’s technology has the capacity to reach over seven billion mobile devices in 6 continents connected to over 10k+ connections of which 800+ are direct operator connections. The company was established in 2006 and is led by its co-founders, CEO Silvio Kutić and Izabel Jelenić.

HELSINKI, Feb. 4, 2026 /PRNewswire/ — Roughly 80% of the world’s data centers still rely on air cooling. Fixing a ‘half-degree’ error there can avoid around $805 million in cooling waste every year, about $8 billion over a decade, based on moderate 10 MW sites.

Vaisala, a global leader in measurement instruments and intelligence for climate action, introduces Origo, a next-generation modular measurement platform designed to transform environmental monitoring in data centers and other mission critical-buildings.

Why half a degree matters

A temperature sensor off by just 0.5 °C (32.9 °F) might sound trivial, but for example in a 10 MW data center, that small error can cost more than $800,000 in wasted cooling energy over ten years. In life science cleanrooms, for example, the stakes are even higher: any critical environmental parameter such as temperature or relative humidity can compromise product integrity or research outcomes, with losses that go far beyond energy costs.

Air cooling remains essential in a rapidly evolving data center market

There are an estimated 12,000 data centers worldwide, with the U.S. and Europe accounting for more than a half. While liquid and hybrid cooling are growing fast for high density AI workloads, air cooling remains the universal foundation of data center thermal management. It provides the room-level baseline cooling every facility needs, while liquid cooling adds targeted, high efficiency heat removal for the hottest racks. As a result, hybrid architectures —air for space, liquid for the densest loads— are now standard in both new builds and retrofit projects.

Impact at scale

Reliable, precise measurement is critical for optimizing air-cooled environments.

“Generic sensors with ±0.5 °C accuracy drive overcooling and energy waste, costing operators tens of thousands of dollars annually. Origo’s precise ±0.1°C and ±1 %RH accuracy and stable measurements reduce unnecessary cooling while ensuring the reliable environmental control that critical facilities depend on. It translates to performance that pays for itself in months and protects uptime for years to come,” says Anu Kätkä, Vaisala’s Product Line Manager for HVAC and Critical Buildings.

Applied at global scale, eliminating the “half-degree” error across today’s predominantly air-cooled installed base — roughly 80% of the world’s ~12,000 data centers — would avoid around $805 million in wasted cooling energy every year, totaling approximately $8 billion over a decade.

With data centers consuming about 1.5% of global energy, and demand set to more than double by 2030, precision sensing is essential to keep energy use and emissions in check while safeguarding IT performance.

Designed for today’s and tomorrow’s critical environments

Origo is engineered for simplicity and long-term adaptability. Its modular design enables monitoring of multiple parameters through Vaisala’s compatible probes, such as carbon dioxide (CO₂) and dew point sensors, on the same platform. This flexibility makes Origo a future-proof solution that adapts to evolving measurement requirements also in other critical environments such as cleanrooms, life science applications, and semiconductor manufacturing.

Backed by Vaisala’s commitment to reliability, Origo ensures accurate measurements and dependable performance throughout its service life, helping operators protect processes, reduce risk, and optimize resources.

Origo’s field‑replaceable probes allow quick on‑site updates with minimal interruption. Vaisala’s wide range of services, from accredited calibrations to technical support, is available to complement on‑site expertise.

Key facts briefly

• The world runs on approximately 12,000 data centers; U.S. + Europe together represent well over a half of all sites
• Air cooling remains a standard baseline for most facilities; liquid is growing fast for high-density AI, often in hybrid setups
• A 0.5 °C error can cost a 10 MW data center more than $800,000 in cooling energy over 10 years
• Vaisala Origo delivers ±0.1 °C temperature accuracy and ±1 %RH humidity accuracy for stable, reliable environmental control
• Modular design and multi‑parameter capability suit critical environments such as data centers, cleanrooms, hospitals, production facilities, and semiconductor environments

About Vaisala

Vaisala is a global leader in measurement instruments and intelligence for climate action. We equip our customers with devices and data to improve resource efficiency, drive energy transition, and care for the safety and well-being of people and societies worldwide. With over 90 years of innovation and expertise, we employ a team of close to 2,500 experts committed to taking every measure for the planet. Vaisala series A shares are listed on the Nasdaq Helsinki stock exchange.

www.vaisala.com

Note to editors:

Figures are based on industry data (Uptime Institute, IEA, Statista, AFCOM/Upsite, and Vaisala calculations) and assume a global installed base of approximately 12,000 data centers, with air cooling as the primary method in around 80% of sites.

Calculation method:

A typical 10 MW air‑cooled data center may waste about 700,000 kWh of cooling energy annually when operating with a 0.5 °C temperature error. At an energy price of $0.12/kWh, this equates to $83,800 per site per year, or over $830,000 over a decade.

With roughly 9,600 air‑cooled sites worldwide (80% of 12,000), the global annual impact is calculated as:

$83,800 × 9,600 ≈ $805 million per year, which amounts to approximately $8 billion over ten years.

Savings calculations compare this baseline with the reduced overcooling achieved using ±0.1 °C high‑accuracy temperature measurements.