SHANGHAI, Sept. 8, 2026 /PRNewswire/ — The International Solid Waste Association (ISWA) has published a guest blog featuring SUS ENVIRONMENT’s biodiversity conservation practices, highlighting how the company is integrating biodiversity considerations into environmental management, project lifecycle management and ecological restoration.

Titled “Nature Positive × SUS: From Tapirs to Mangroves,” the article connects global biodiversity goals with SUS ENVIRONMENT’s practices across different projects and regions.

In Malaysia, SUS has expanded its engagement from supporting Malayan tapir conservation in 2025 to participating in a mangrove planting initiative in Selangor in 2026, reflecting a progression from species and habitat conservation to coastal ecosystem protection.

Beyond CSR initiatives, biodiversity considerations are also being incorporated into project management. According to SUS ENVIRONMENT’s 2025 Sustainability Report, the company applies environmental impact management throughout project development and uses the Integrated Biodiversity Assessment Tool (IBAT) to identify protected areas and Key Biodiversity Areas (KBAs) around project sites, supporting biodiversity risk identification and planning.

As SUS ENVIRONMENT advances waste-to-energy development and the broader ecological transition, it is extending its focus on biodiversity from species and habitat conservation to project lifecycle management and ecological restoration. These practices reflect three themes of SUS ENVIRONMENT’s biodiversity approach: Protect, Restore and Coexist.

Read the full article on the ISWA Blog:
https://www.iswa.org/blog/guest-blog-nature-positive-x-sus-from-tapirs-to-mangroves/?v=0f177369a3b7

About SUS ENVIRONMENT

SUS ENVIRONMENT is the world’s largest provider of waste incineration equipment and technology, as well as one of the top three investors and operators of waste-to-energy plants (low-carbon Eco-industrial parks) globally.

As of December 2025, SUS ENVIRONMENT has established 11 management centers worldwide, providing environmental and energy services to over 100 million people. It has invested in and constructed over 90 waste-to-energy plants, with a daily processing capacity nearly 120,000 tonnes of municipal solid waste. The annual green power generation is approximately 20,000 GWh, sufficient to meet the annual electricity needs of nearly 8 million households.

*Sources: Environmental Sanitation Net of China and public data; total design capacity as of Dec. 31, 2025.

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SOURCE SUS ENVIRONMENT

HONG KONG, Sept. 8, 2026 /PRNewswire/ — On September 4, 2026, Sensors Data successfully hosted the closed-door salon “Sensors AI Salon • Hong Kong” at the International Finance Centre (IFC), Central, Hong Kong. Under the theme “The Future of Enterprise Growth: Building Your AI Growth Team”, the salon brought together enterprise decision-makers and senior executives from aviation, banking & finance, hospitality, premium retail, property development, and utilities to explore practical paths of enterprise growth in the AI era through two keynote speeches and three panel discussions.

From Purchasing Growth Software to Hiring an AI Growth Team

Welf Sang, Founder & CEO of Sensors Data, delivered a keynote titled “From Data-Driven to AI Growth Team”, reviewing three stages of the company’s eleven-year journey: from its early focus on user behavior analytics and building a solid data foundation, to entering the marketing cloud space and helping enterprises turn insights into actions through the SDAF data closed loop (Sense–Decision–Act–Feedback), and to today’s full embrace of AI. He noted that Sensors Data has been developing the Hong Kong market for about two years.

Drawing on years of service practice, Sang shared his renewed thinking on data-driven growth: whether a data-driven approach can truly deliver growth depends first on the direction and quality of the business itself. Meanwhile, implementing data-driven strategies relies heavily on organizational capability, as talent who understand both business and data is scarce, costly, and hard to replicate. In his view, the new bottleneck lies in breaking the dependence on individuals and organizations.

Based on this, he offered three observations about the AGI era: AGI will arrive within the next three to five years; AGI will not eliminate enterprises but will reshape them; and general AGI is not the same as enterprise AGI — every enterprise needs to build its own “Mini-AGI”. He drew an analogy between enterprise growth and autonomous driving: growth likewise evolves from L2 (human-led, AI-assisted) to L3 (AI-led execution with human confirmation as the backstop) and then to L4 (AI operating autonomously once goals and boundaries are defined). Sensors Data’s three-year product strategy is precisely to build an L4-level AI Growth Team: from “delivering software” to “delivering workload” to “delivering results”.

“What companies have always wanted is not software, but growth.” Sang said the shift Sensors Data aims to drive in the collaboration model is from “purchasing a growth software suite” to “hiring an AI Growth Team”: a team composed not entirely of AI, but of human employees and AI employees working in concert — a “silicon-based plus carbon-based” combination.

He also introduced on site the Sensors AI 1.0 growth Agent platform that supports this vision: dozens of out-of-the-box AI growth workflows carry the complete growth process; three engines — the customer data engine (CDP), customer journey analytics (CJA), and customer journey optimization (CJO) — are packaged as Skills that Agents can invoke; and the Customer World Model enables Agents to genuinely understand an enterprise’s customers. In the three-tier product layout, on top of the Customer World Model and the growth Agent platform sits Sensors AGW (AI Growth Worker), an AI growth employee ready to be “hired”. Sang also shared Sensors Data’s own AI transformation practice: building dual world models internally so that the intelligence layer proactively drives customer operations and service closed loops — including the management AGW he uses every day, with which he can query any customer’s business status and health at any time within IM.

AI Employees, Living in Real Enterprise Workflows

You Chenjun, AGW Product Lead at Sensors Data, delivered a presentation and live demo titled “AGW: The Hirable AI Growth Worker”.

He pointed out that AI product forms have evolved rapidly, from Chatbot to Copilot to Agent. Yet when a general-purpose Agent is placed inside an enterprise as an “employee”, it falls short in three types of scenarios: business problems that require multi-person collaboration and have no standard answers; complex tasks whose execution paths keep changing; and process management that requires continuous tracking and accumulation. Real enterprise-grade work happens in IM communication, cross-system data retrieval, and person-to-person collaboration.

To address this, AGW is designed as a digital employee living in the enterprise IM: it proactively inspects data and raises alerts upon anomalies; it knows every member of the team and, when it cannot complete a step, proactively assigns the task to the right person and continues the process automatically once a reply is received; it retrieves and analyzes data across systems, connecting the enterprise’s internal systems one by one into callable capabilities; and more importantly, it consolidates the experience accumulated in each collaboration into Skills, upgrading individual experience into company standards to benefit the entire organization: “A personal assistant only makes the individual stronger; AGW makes the whole organization stronger.”

In the live demo, You Chenjun fully reproduced a growth analysis closed loop: AGA — the specialized version of AGW for data analysis — proactively alerted on an anomaly in first-charge conversion on an app release day, automatically aligned metric definitions, broke down the funnel, drilled down into user segments, and cross-validated multiple data sources to locate the root cause, provided role-specific remediation suggestions, and then continued to track the effectiveness of the fixes. Going one step further, the complete troubleshooting process was consolidated into a company-wide release-analysis Skill, which now runs automatically on every release. He stated that AGW’s design philosophy is “let everything happen naturally — do not reshape work, but follow it”: AI adapts to people, not people to AI.

Three Panel Discussions: Real Challenges from the Front Lines

Around the theme “Data Assetization and AI Transformation: New Growth Strategies for the Financial Services Industry within Compliance Boundaries”, three guests from banks and financial institutions discussed from the perspectives of IT, business, and marketing. The guests generally agreed that as AI projects move from pilot to scale, security and compliance are the first prerequisite; at the same time, they cautioned against “AI for AI’s sake”: first determine whether the problem genuinely exists and whether the process is sound, then decide whether to introduce AI. The key to implementation lies not only in technology but also in organizational coordination: involving business, IT, risk control, and frontline teams early, clarifying data ownership and definitions, and managing the integration between new-generation AI systems and existing core systems. On handling sensitive data, the guests shared practices such as data masking, using trusted models, and setting human red lines, and expressed the hope that AI could help bridge business breakpoints and shorten the approval chains of marketing campaigns.

The second panel focused on “The Next Era of Enterprise Growth: Operational Transformation and Omnichannel AI Execution”. Three guests from property development, premium retail, and hospitality discussed the common challenge of fragmented multi-channel data. Using coffee retail as an example, they noted that customers often experience products in-store first and convert through other channels later, so effectiveness cannot be judged by a single store visit; the same customer often appears under different identities across parking, consumption, accommodation, and membership systems, with inconsistent data definitions, making it difficult to form a complete customer journey and a unified view. The guests agreed that breaking down data silos and building a unified, trustworthy customer profile is the foundation of precise outreach and higher customer lifetime value; the key to marketing automation is delivering real value at the moment the customer needs it — push communications should stop proactively when information is overloaded or service issues remain unresolved. On implementation, they acknowledged that the bottleneck for most enterprises lies not in systems but in people: employees still tend to make decisions based on experience. One guest shared the practice of equipping the team with “data partners”, which notably improved efficiency after several months of operation. On AI’s role, the guests look forward to delegating repetitive work such as customer analysis and multilingual content generation to AI, transforming marketing professionals from executors into designers of customer experience, while strategic direction and key decisions remain in human hands.

The final panel, themed “The Next Era of Enterprise Growth: AI-Driven Operations and Customer Engagement”, featured two guests from aviation and utilities sharing AI practices in operations at scale. The utilities guest introduced how to build personalized customer journeys starting from the most mature data: from welcome communications for newly onboarded customers to e-payment guidance before bills are issued; and shared progress on building a unified customer profile (One Profile). The aviation guest used extreme weather as an example, noting that AI’s value at such moments is not to take over frontline service directly, but to help soothe traveler emotions and ensure their requests are heard in time, while focusing on root-cause analysis and solving problems at the process level, reserving frontline capacity for the most complex, high-value scenarios. Both guests agreed that AI should serve as the team’s customer strategy assistant, collaborating with humans in a human-in-the-loop manner: people are responsible for high-value judgments such as customer experience design, while AI handles repetitive tasks such as data retrieval and verification.

The salon concluded with a relaxed cocktail networking session. Guests engaged in in-depth exchanges on AI Growth Teams, digital employees, and industry implementation practices. Moving forward, Sensors Data will continue to bring the capability of “building an AI Growth Team” to more enterprises, helping more customers achieve the leap from data-driven to AI-driven growth.

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SOURCE Sensors Data

The transition program NetActuate announced at NAB now runs on the transport layer launching at IBC 2026. Broadcasters leaving satellite get a measured path to air, and NetActuate runs the second path.

AMSTERDAM, Sept. 8, 2026  /PRNewswire/ — NetActuate today announced that its 2026 C-Band Transition Acceleration Program, launched at NAB, now runs on the NetActuate Media Substrate, the transport layer the company is introducing at IBC 2026. The program gives United States broadcasters a terrestrial path off C-band satellite. A station group can now be handed a working, redundant path on a network NetActuate already operates.

For a broadcaster working the transition to terrestrial IP, the practical difference is the second, redundant path. Contribution has always meant procuring diversity yourself, whether that was a backup transponder or a second circuit and a bonding appliance at both ends. On the substrate the broadcaster sends one stream and receives one stream, and NetActuate runs the diverse paths beneath it. In a blackout test, one path was taken fully dark and the merged output lost nothing.

The rest of the program is unchanged and now sits on that foundation. Every path is measured end to end, with a real figure for the station group’s own route published in the portal and its last mile reported separately. The substrate carries eleven protocols, including SRT, RIST, UDP, MPTS, MoQ, ST 2022-7, SMPTE ST 2110, RTMP, WebRTC, WHIP and WHEP, so a station group keeps the encoders it already trusts.

The last mile is the part broadcasters worry about most. However, it’s often congestion between the local provider and the wider internet that causes issues. The Media Substrate routes around congestion automatically. A station group can take a dedicated circuit, hand the last mile to NetActuate to run, or pair a satellite link, and mix those across a footprint.

The regulatory clock is the reason the industry is moving now. The July 2025 One Big Beautiful Bill Act mandated a competitive bidding auction of the upper C-band, 3.98 to 4.2 GHz, by July 4, 2027, and in November 2025 the FCC voted to advance the rulemaking that carries it into effect. The expectation is that this ends the remaining broadcast satellite spectrum and moves contribution and primary distribution onto IP and fibre over roughly five years.

Transition is also happening while the supply side consolidates, leaving broadcasters with fewer and larger incumbents to choose from as they are being pushed off satellite. NetActuate is an independent network operator, not a satellite company and not a reseller of one.

“Every feed still on C-band needs somewhere to go before the spectrum goes, and the stations moving now get to do it on their own terms instead of against the clock,” said Mark Mahle, CEO of NetActuate. “We can turn a path up today. You send us the feed, we run two paths underneath it, and you never buy the second circuit.”

NetActuate operates 22 locations in the United States with a presence in every major North American media market, part of more than 45 locations worldwide on one of the largest globally-peered IPv4 and IPv6 networks. The C-Band Transition Acceleration Program is available now, with the Media Substrate sold under Networking in the NetActuate portal in Managed and Custom tiers. Program resources remain at netactuate.com/c-band-transition.

About NetActuate

NetActuate delivers edge infrastructure and network solutions in over 45 locations worldwide, enabling customers to deploy workloads with low latency, resiliency, and security. The Open Network Edge (ONE) IaaS platform supports VMs, Kubernetes, cloud, colocation, bare metal, and storage infrastructure with Anycast connectivity. NetActuate provides 24×7 support, expert consulting, and flexible solutions engineered for scalability and performance. For more information, visit netactuate.com.

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SOURCE NetActuate