marketing 21 Jul 2026
Granicus has strengthened its leadership team in Australia and New Zealand (ANZ) by appointing technology executive Jonathan Usher as Managing Director. The move comes as governments across the region continue investing in digital transformation, citizen engagement platforms, and cloud-based public services, positioning Granicus to expand its presence in one of the world's fastest-evolving government technology markets.
Granicus, a provider of customer experience technologies for governments and destination organizations, has appointed Jonathan Usher as Managing Director for Australia and New Zealand (ANZ), reinforcing its regional leadership as demand grows for digital government services and citizen engagement platforms.
The appointment forms part of the company's broader strategy to expand its footprint across Australia and New Zealand, where public sector organizations are accelerating investments in cloud technologies, digital service delivery, and customer experience modernization.
Usher brings more than 25 years of leadership experience across the technology sector, having managed and scaled businesses spanning software-as-a-service (SaaS), cloud computing, cybersecurity, and digital public services. His experience in building customer-centric technology organizations aligns with Granicus' focus on helping governments improve interactions with citizens, visitors, and local communities.
In his new position, Usher will oversee Granicus' regional operations while working with government agencies, strategic partners, and customers to strengthen adoption of digital engagement technologies and support the company's continued growth throughout the ANZ market.
Leadership investments have become increasingly important for GovTech providers as governments modernize digital infrastructure and seek platforms capable of improving public service accessibility while streamlining citizen communications.
Granicus has positioned itself within this evolving market by providing software platforms that help public sector organizations manage citizen engagement, digital communications, online service delivery, public participation initiatives, and constituent experiences. As governments continue shifting toward digital-first service models, customer experience technologies are becoming central to improving transparency, accessibility, and operational efficiency.
The appointment of Usher also reflects Granicus' broader regional expansion strategy. The company recently strengthened its ANZ leadership bench by naming Julie Morton as Regional Sales Director and Pallavi Sathyanarayana as Regional Product Leader. Together, the expanded leadership team is expected to support product innovation, customer success, regional partnerships, and market expansion.
Australia and New Zealand continue to emerge as important markets for government digital transformation. National, state, and local government agencies across both countries have accelerated investments in cloud infrastructure, cybersecurity, digital identity, citizen self-service platforms, and AI-enabled public services in response to changing citizen expectations and evolving regulatory requirements.
According to Granicus, the strengthened regional leadership structure is intended to help organizations deliver more connected digital experiences while improving engagement with citizens and communities.
The broader GovTech landscape has become increasingly competitive as technology providers expand offerings tailored to public sector organizations. Global technology companies including Microsoft, Google, Amazon, Salesforce, and Adobe continue investing in cloud platforms, customer engagement technologies, artificial intelligence, and digital workflow solutions that support government modernization initiatives. Specialized providers such as Granicus differentiate themselves through platforms designed specifically for public sector communications, civic engagement, legislative management, and citizen experience.
The appointment also highlights a growing convergence between customer experience technologies traditionally associated with the private sector and digital services developed for government agencies. Many public organizations are adopting customer experience principles commonly used in enterprise marketing, including omnichannel communication, personalized engagement, data-driven service delivery, and digital journey optimization.
Industry analysts expect this trend to continue. Gartner has identified digital government and citizen-centric service delivery among the key priorities shaping public sector technology investment over the coming years. IDC likewise projects continued growth in government spending on cloud platforms, artificial intelligence, digital workflows, and citizen engagement technologies as agencies modernize legacy systems and improve operational resilience.
For enterprise technology providers operating within the public sector, regional leadership appointments often play a strategic role beyond organizational management. Building trusted relationships with government agencies, regulatory stakeholders, and implementation partners is frequently essential for navigating procurement processes and supporting long-term digital transformation initiatives.
Usher's appointment therefore represents more than a senior executive transition. It signals Granicus' continued investment in Australia and New Zealand as governments increasingly prioritize digital engagement, cloud-based public services, and modern customer experience platforms capable of improving interactions between public institutions and the communities they serve.
As citizen expectations continue to evolve, government agencies are increasingly seeking technology platforms that combine secure digital infrastructure with intuitive user experiences. Companies capable of supporting that transformation through scalable SaaS platforms, cloud-native services, and AI-enabled engagement tools are likely to remain central to the next phase of GovTech innovation.
Governments worldwide are accelerating investments in digital transformation to improve citizen engagement, service accessibility, and operational efficiency. Gartner identifies digital government initiatives as a long-term strategic priority, while IDC forecasts continued growth in public sector spending on cloud computing, AI, cybersecurity, and citizen experience platforms. Australia and New Zealand remain among the leading adopters of digital government strategies, creating opportunities for SaaS providers focused on modernizing public service delivery and digital engagement.
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marketing 21 Jul 2026
Tencent Cloud has expanded its Agent Development Platform (ADP) into a full-fledged enterprise AgentOps platform, introducing new capabilities designed to help organizations deploy, govern, and scale AI agents across production environments. Announced at the 2026 World Artificial Intelligence Conference (WAIC) in Shanghai, the ADP 4.0 International Edition aims to address one of enterprise AI's biggest challenges: moving AI agents beyond pilot projects into secure, enterprise-wide operations.
Tencent Cloud is strengthening its enterprise artificial intelligence portfolio with the global release of Agent Development Platform (ADP) 4.0 International Edition, transforming its existing AI development environment into a comprehensive AgentOps platform for enterprise AI agents.
The announcement, made during the 2026 World Artificial Intelligence Conference (WAIC) in Shanghai, reflects the rapid evolution of enterprise AI from isolated chatbot deployments toward autonomous AI agents capable of executing complex business workflows. While many organizations have successfully launched AI pilots, scaling those systems across enterprise operations remains a significant challenge due to governance, integration, security, and operational complexity.
Tencent Cloud's latest platform update directly targets those obstacles by providing a unified environment for building, deploying, monitoring, and governing AI agents throughout their lifecycle.
At the center of ADP 4.0 are two newly introduced capabilities—Smart Desk and Claw Mode—supported by the company's Agentic Loop architecture. Together with existing platform services including Connectors, Skills, Knowledge Base, MCP, and Agent Portal, the platform enables organizations to manage every stage of enterprise AI agent development from creation and orchestration to deployment, governance, and performance monitoring.
The launch comes at a time when enterprise AI strategies are shifting beyond generative AI assistants toward intelligent software agents capable of completing multi-step business processes with limited human intervention.
Smart Desk serves as the primary interface for both business users and developers. Instead of requiring technical configuration, employees can build AI agents using natural language prompts while integrating those agents into existing enterprise applications such as ERP platforms, CRM systems, customer service applications, and office productivity software.
According to Tencent Cloud, tasks that previously required extensive manual configuration—including building knowledge-based customer support assistants—can now be completed through conversational instructions, significantly reducing implementation complexity. More sophisticated workflows, such as multi-intent customer service automation, can also be generated automatically, including routing logic, knowledge retrieval, escalation workflows, and agent collaboration.
The platform further enables organizations to build reusable enterprise AI capabilities through a Skills Marketplace containing more than 150 prebuilt Skills. Departments can package internal workflows, such as financial analysis, contract review, or invoice processing, into standardized AI components that can be securely shared across the organization.
Complementing Smart Desk is Claw Mode, a new development model designed for long-running, complex AI workflows that extend beyond deterministic automation.
Unlike traditional workflow builders that rely on predefined decision trees, Claw Mode enables AI agents to autonomously write and execute code within secure cloud environments, invoke enterprise APIs, utilize internal knowledge repositories, and complete multi-stage tasks spanning extended periods. Organizations describe objectives in natural language while the platform automatically generates prompts, configures tools, connects enterprise systems, and orchestrates execution.
This hybrid architecture illustrates a broader trend emerging across enterprise AI platforms. Deterministic workflows continue handling predictable business rules, while AI agents increasingly manage reasoning-intensive processes requiring contextual understanding and adaptive decision-making.
Integration remains another critical component of Tencent Cloud's strategy. ADP 4.0 introduces nearly 40 enterprise Connectors capable of linking AI agents with business applications including CRM platforms, ERP systems, customer service software, document repositories, ticketing systems, Google Workspace, Confluence, and Jira. Native compatibility with the OpenAI API standard also enables organizations to integrate multiple large language models alongside proprietary AI models.
Rather than replacing existing enterprise infrastructure, the platform positions AI agents as an intelligent operational layer built on top of established business systems.
Governance has become one of the defining differentiators among enterprise AI platforms, particularly as organizations begin deploying autonomous agents into customer-facing and mission-critical operations.
Tencent Cloud has therefore embedded governance capabilities throughout the AI development lifecycle instead of treating security as a deployment-stage consideration. ADP 4.0 introduces role-based access control (RBAC), permission management across enterprise, workspace, and application layers, security validation for custom Skills, runtime observability, approval workflows, and centralized Agent Portal dashboards for monitoring usage, operational costs, response quality, and system performance.
Such governance capabilities are becoming increasingly important as enterprises evaluate AI adoption within regulated sectors including financial services, healthcare, manufacturing, telecommunications, and government.
The launch reflects broader market momentum surrounding AgentOps—a rapidly emerging software category focused on managing AI agents after deployment. Similar to how DevOps transformed software engineering and MLOps standardized machine learning operations, AgentOps seeks to establish governance, monitoring, security, lifecycle management, and operational reliability for increasingly autonomous AI systems.
According to Gartner, autonomous AI agents are expected to become foundational components of enterprise software over the coming years as organizations automate knowledge-intensive workflows. IDC similarly forecasts continued acceleration in enterprise AI investment, with organizations prioritizing platforms capable of integrating AI into existing operational infrastructure while maintaining governance and compliance.
Tencent Cloud enters a competitive landscape that includes enterprise AI initiatives from Microsoft, Google, Amazon, Salesforce, and Adobe, all of which are expanding AI agent capabilities across productivity, customer engagement, workflow automation, and enterprise software ecosystems. However, Tencent Cloud differentiates its platform by combining AI development, enterprise integrations, operational governance, and lifecycle management within a single AgentOps foundation.
For enterprise marketing teams, AI agents represent more than conversational assistants. They increasingly automate campaign planning, customer service, content generation, CRM workflows, analytics, and knowledge management while operating under enterprise governance policies. Platforms capable of securely orchestrating these intelligent workflows at scale may become essential infrastructure as businesses transition from AI experimentation to production-grade digital operations.
Enterprise AI is entering a new operational phase as organizations move beyond standalone generative AI tools toward autonomous AI agents embedded across business processes. Gartner projects that AI agents will become a core component of enterprise software strategies, while IDC expects worldwide AI spending to continue rising as organizations prioritize workflow automation, decision intelligence, and operational efficiency. This evolution has accelerated demand for AgentOps platforms that combine governance, observability, security, integrations, and lifecycle management, positioning them as the next foundational layer of enterprise AI infrastructure.
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marketing 21 Jul 2026
Stablecoin-powered payment infrastructure provider WasabiCard has appointed former Visa executive Matt Price as its new Global Partnership Director, reinforcing its enterprise growth strategy as demand for blockchain-enabled cross-border payment solutions continues to accelerate. The leadership hire reflects increasing competition among fintech infrastructure providers seeking deeper partnerships with financial institutions, payment networks, and enterprise payment ecosystems.
WasabiCard has named payments industry veteran Matt Price as its Global Partnership Director, bringing nearly three decades of experience from Visa and Global Payments to support the company's expanding stablecoin-powered payment infrastructure business.
The appointment comes as enterprise interest in digital asset-based payment networks continues to grow, with businesses exploring faster, lower-cost alternatives for international settlements, treasury operations, and cross-border commerce.
Price joined WasabiCard in May 2026 and will oversee the company's global partnership strategy, focusing on expanding relationships with financial institutions, payment processors, fintech companies, payment networks, and broader technology ecosystem partners. His responsibilities include strengthening strategic alliances that support WasabiCard's international expansion and enterprise payment offerings.
Leadership appointments have become an increasingly important competitive lever across the fintech sector as payment infrastructure providers scale globally. Beyond technology capabilities, partnerships with banks, financial institutions, and payment networks often determine how quickly new payment platforms can expand into regulated markets and attract enterprise customers.
Before joining WasabiCard, Price spent nearly 28 years at Visa, where he held senior commercial and partnership leadership roles across the global payments ecosystem. During his tenure, he worked closely with acquiring banks, payment processors, issuers, and financial institutions to develop strategic payment initiatives and expand commercial relationships across international markets.
Following his career at Visa, Price served as Senior Vice President of Financial Institution Partnerships Sales and Client Management at Global Payments. In that position, he managed relationships with multinational financial institutions spanning acquiring services, card issuing, treasury management, and pay-in/pay-out solutions, giving him extensive experience across both traditional payment networks and modern financial infrastructure.
WasabiCard's latest executive appointment signals the company's ambition to expand its enterprise footprint as stablecoins increasingly gain attention within corporate finance and digital payments. Stablecoin-powered payment infrastructure combines blockchain settlement with fiat-backed digital currencies, enabling businesses to move funds internationally while seeking to reduce settlement delays and transaction costs commonly associated with legacy payment rails.
Unlike cryptocurrencies whose market values fluctuate significantly, stablecoins are designed to maintain a relatively stable value by being pegged to reserve assets such as the US dollar. This characteristic has made them increasingly attractive for enterprise payment applications, treasury operations, and cross-border business transactions.
According to WasabiCard, expanding its global partnership network remains a strategic priority as demand grows for modern payment infrastructure connecting traditional financial institutions with blockchain-based payment capabilities. Building relationships across banks, fintech companies, payment processors, and technology providers is expected to support broader enterprise adoption of its payment platform.
The competitive landscape for digital payment infrastructure has evolved rapidly over the past several years. Established payment providers such as Visa, Mastercard, PayPal, Stripe, and emerging fintech infrastructure companies have all expanded investments in digital asset technologies, programmable payments, and blockchain-based settlement capabilities. At the same time, technology companies including Microsoft, Google, and Amazon continue to strengthen cloud infrastructure supporting financial services innovation, while enterprise platforms from Salesforce and Adobe increasingly integrate payment capabilities into broader customer experience ecosystems.
WasabiCard's partnership-first strategy reflects an industry trend toward ecosystem-driven growth rather than standalone financial products. Enterprise customers increasingly expect payment platforms to integrate with banking infrastructure, ERP systems, treasury platforms, customer relationship management software, and financial automation tools.
Industry analysts expect this convergence to continue. According to Gartner, embedded finance and digital payment technologies are becoming core components of enterprise digital transformation strategies as organizations modernize financial operations. Meanwhile, McKinsey & Company has reported that digital payments remain one of the fastest-growing segments within financial services, driven by increased demand for real-time payments, programmable financial infrastructure, and cross-border commerce.
For enterprise finance teams, the expansion of stablecoin-enabled payment networks could offer practical benefits beyond faster settlement. Businesses operating internationally often seek greater visibility into payment flows, lower foreign exchange costs, and improved treasury efficiency. Infrastructure providers that successfully combine blockchain technology with enterprise-grade compliance, banking relationships, and global payment connectivity may become increasingly relevant as organizations modernize financial operations.
Price's appointment therefore represents more than an executive leadership change. It reflects how fintech infrastructure companies are competing not only through technological innovation but also through strategic partnerships that can accelerate enterprise adoption across increasingly interconnected global payment ecosystems.
Enterprise payment infrastructure is undergoing significant transformation as financial institutions adopt blockchain technologies alongside traditional payment rails. Gartner expects embedded finance and programmable payments to become increasingly integrated into enterprise software ecosystems, while McKinsey & Company identifies digital payments as one of the highest-growth areas within financial services. As stablecoins mature and regulatory frameworks evolve globally, payment infrastructure providers are investing heavily in partnerships, compliance capabilities, and enterprise integrations to compete alongside established networks such as Visa, Mastercard, and emerging fintech platforms.
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marketing 21 Jul 2026
As enterprises accelerate digital training and multilingual knowledge sharing, AI-powered content creation is evolving beyond simple video generation. Leadde AI has entered the Indian market with an enterprise-focused AI Agent designed to convert business documents—including PDFs, PowerPoint presentations, Word files, and standard operating procedures (SOPs)—into editable professional training videos. The launch targets organizations seeking faster, compliant, and scalable video production for employee learning, customer education, and enterprise communications.
Leadde AI has officially launched its enterprise video production platform in India, introducing what it describes as the industry's first AI Agent purpose-built for business video creation rather than consumer-focused content generation. The platform automates the transformation of business documents into professional explanatory videos while maintaining human oversight over scripts, narration, translations, and final output.
The announcement reflects a broader shift in enterprise AI adoption, where organizations are increasingly looking beyond generative AI experimentation toward workflow automation that integrates directly into business operations.
Unlike conventional AI video generators that primarily focus on creative or entertainment content, Leadde AI is designed for structured enterprise use cases. The platform processes source materials such as PDFs, Microsoft Word documents, PowerPoint presentations, training manuals, and SOPs before automatically generating video-based learning content. Organizations can review, edit, and approve every stage of production before publishing, helping maintain regulatory compliance and brand consistency.
This level of content governance is becoming increasingly important as industries adopt AI within regulated environments. Sectors including healthcare, financial services, insurance, manufacturing, and education often require training materials that are accurate, traceable, and auditable. Rather than replacing human review, Leadde AI positions artificial intelligence as an assistant that accelerates production while preserving editorial control.
One of the platform's notable capabilities is multilingual localization. Leadde AI supports translation into more than 120 languages and regional accents, enabling organizations to create localized training and customer education content without rebuilding videos from scratch. For enterprises operating across multiple regions, multilingual video production has traditionally been expensive and time-intensive. AI-assisted localization offers an alternative that could significantly reduce production timelines.
The company also highlighted productivity gains reported by an early enterprise customer. According to Leadde AI, a global insurance organization experienced a 90% improvement in training video production efficiency, reduced production costs by 70%, and expanded content output tenfold after deploying the platform. While individual customer outcomes vary depending on implementation and workflow maturity, such metrics illustrate the growing business interest in AI-assisted content operations.
India represents a strategic expansion market for enterprise AI platforms. The country's rapidly growing digital economy continues to drive investment in corporate learning, workforce upskilling, multilingual communication, and knowledge management. Large enterprises, educational institutions, and technology service providers increasingly require scalable methods for delivering consistent learning experiences across geographically distributed teams.
The platform also announced an integration with Skill Lake, an AI-powered learning management system (LMS). Through the partnership, organizations can convert training documents into AI-generated video courses using Leadde AI before automatically synchronizing the finished content back into the LMS for distribution, learner engagement, and progress tracking. Integrating AI video generation directly into learning platforms could streamline corporate training workflows by reducing manual production and publishing steps.
The launch comes as enterprise demand for AI-driven learning technologies continues to expand. Gartner has forecast that generative AI will increasingly become embedded within enterprise software workflows, enabling organizations to automate content creation, employee support, and knowledge management rather than relying on standalone AI applications. Meanwhile, McKinsey & Company has reported that organizations implementing generative AI across business functions are seeing measurable improvements in productivity and operational efficiency, particularly in knowledge-intensive work.
Leadde AI enters a competitive market that includes AI-powered content creation platforms from companies such as Microsoft, Adobe, Google, and numerous specialized video-generation vendors. However, its positioning differs by focusing specifically on enterprise documentation workflows, compliance controls, editable production pipelines, and structured learning content instead of consumer video creation or marketing-focused generative media.
This distinction reflects a broader trend across the MarTech and enterprise software landscape. Organizations are increasingly seeking AI platforms capable of integrating with existing digital infrastructure—including learning management systems, customer data platforms, enterprise knowledge bases, and marketing automation platforms—rather than deploying isolated AI tools.
For enterprise marketing teams, internal communications departments, HR organizations, and learning professionals, AI-powered document-to-video automation offers practical advantages. Product documentation, onboarding materials, customer tutorials, compliance updates, sales enablement content, and partner education programs can all be converted into consistent video assets while maintaining governance over messaging and regulatory requirements.
As enterprise AI matures, the competitive landscape is shifting from standalone generative capabilities toward intelligent workflow automation. Platforms that combine automation with transparency, editability, compliance, and enterprise integrations are increasingly positioned to support long-term digital transformation initiatives. Leadde AI's India launch reflects this evolution, highlighting how AI agents are beginning to reshape enterprise content production beyond traditional marketing applications.
Enterprise AI is increasingly moving from experimental deployments to operational workflows. Gartner estimates that generative AI capabilities will become embedded across enterprise software ecosystems, while IDC projects continued growth in AI spending as organizations automate knowledge work, customer engagement, and employee training. At the same time, McKinsey research indicates that generative AI delivers the greatest business value when integrated into existing enterprise processes rather than used as standalone productivity tools. Against this backdrop, AI-powered document-to-video platforms represent an emerging segment where automation, multilingual communication, and compliance converge to support digital learning and enterprise knowledge management.
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business 20 Jul 2026
Shizhong District in Zaozhuang City, eastern China's Shandong Province, is demonstrating how agricultural technology and research-driven farming practices can improve the sustainability of high-value crop production. Local producers have successfully expanded morel mushroom cultivation by combining scientific crop rotation techniques with coordinated support from universities, agricultural experts, and local authorities.
Often referred to as the "king of mushrooms" because of their premium market value, morel mushrooms have become an increasingly attractive specialty crop for farmers. However, their cultivation has traditionally faced a major obstacle: continuous cropping. Repeatedly growing morels on the same land can disrupt soil ecosystems, encourage harmful fungi, and significantly reduce yields over time.
To address these issues, the Liangyuan Fruit Tree Farmers Professional Cooperative has worked with Qingdao Agricultural University (QAU) and regional agricultural experts to introduce an alternative cultivation model that improves both soil health and production efficiency.
Instead of relying solely on continuous mushroom production, growers now rotate morel cultivation with crops including radishes, corn, and shepherd's purse.
Crop rotation is widely recognized in modern agriculture as an effective method for restoring soil nutrients, reducing disease pressure, and improving long-term productivity. In the case of morel mushrooms, the diversified planting system helps suppress harmful fungi while restoring soil balance, enabling growers to cultivate mushrooms on the same land without the steep productivity declines commonly associated with continuous cropping.
According to assessments conducted by Qingdao Agricultural University, the cultivation base now consistently produces more than 1,250 kilograms of morel mushrooms per mu (approximately 0.067 hectares), meeting established high-yield benchmarks.
The improved farming system has also enabled growers to harvest crops twice annually from the same plots while maintaining stable production over four consecutive years.
The economic impact of the new cultivation model has been significant for local farmers.
Average net income from morel production now reaches approximately 40,000 yuan per mu, substantially exceeding the returns typically generated from conventional grain cultivation. The increased profitability provides farmers with an opportunity to diversify rural incomes while reducing dependence on lower-margin staple crops.
This reflects a broader trend across global agriculture, where specialty crops supported by scientific farming methods are becoming increasingly important sources of rural economic development.
Beyond cultivation techniques, Shizhong District has developed a coordinated agricultural support system designed to improve adoption of modern farming practices.
The district provides farmers with mushroom spawn, technical training, cultivation guidance, and market connection services, helping producers improve yields while reducing barriers to commercialization.
The region has also invested in cold-chain logistics infrastructure and diversified sales channels that combine online and offline distribution. These systems help preserve product quality during transportation while expanding market access for local growers.
Integrated agricultural service models such as this are becoming increasingly common as governments and agricultural organizations seek to strengthen rural supply chains and improve farmer competitiveness.
The initiative highlights how agricultural research institutions are playing a larger role in advancing sustainable food production.
According to the Food and Agriculture Organization (FAO), sustainable farming practices that improve soil health and biodiversity are becoming increasingly important as agricultural systems adapt to climate pressures and changing food demand. Meanwhile, the World Bank has identified agricultural innovation and technology transfer as key drivers of rural development and income growth in emerging economies.
The collaboration between Qingdao Agricultural University, local cooperatives, and agricultural authorities demonstrates how research-based cultivation methods can translate into measurable productivity improvements when combined with farmer training and technical support.
The Shizhong District project illustrates a broader shift toward data-driven, sustainable agriculture that balances productivity with long-term environmental stewardship.
Rather than relying solely on expanding cultivation areas, growers are improving output through better soil management, scientific crop planning, and integrated agricultural services. This approach aligns with global efforts to modernize food production while reducing environmental impacts.
As governments and agricultural organizations continue investing in precision agriculture, sustainable cultivation, and rural digitalization, similar models could become increasingly relevant for specialty crop production worldwide.
The success of Shizhong's morel mushroom industry demonstrates that combining agricultural science, technology adoption, and coordinated farmer support can generate both higher yields and stronger rural economies—offering a scalable model for the future of sustainable edible mushroom cultivation.
The global market for specialty mushrooms continues to expand as consumers seek premium foods with nutritional and culinary value. According to the Food and Agriculture Organization (FAO), sustainable farming practices and improved soil management are becoming central to modern agricultural development. The World Bank also highlights agricultural innovation, research collaboration, and technology adoption as key drivers of rural productivity and economic growth. Crop rotation, precision farming, and integrated supply chains are increasingly enabling producers to improve yields while supporting long-term environmental sustainability.
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marketing 20 Jul 2026
The connected car is evolving into a digital entertainment platform, and Cinemo is expanding that vision through a new partnership with gaming technology company SmashLabs. The collaboration introduces an immersive in-car gaming experience that synchronizes gameplay with vehicle systems—including lighting, audio, haptics, and climate controls—highlighting how software-defined vehicles (SDVs) are transforming the cabin into an interactive digital ecosystem.
As automakers continue redefining the role of the connected vehicle, entertainment is emerging as one of the fastest-growing areas of innovation. Beyond navigation and infotainment, automotive manufacturers are increasingly investing in digital experiences designed to keep passengers engaged during charging stops, long journeys, and autonomous driving scenarios.
Against this backdrop, automotive software provider Cinemo has partnered with gaming technology company SmashLabs to deliver an immersive in-car gaming platform that integrates gameplay directly with vehicle hardware. The collaboration reflects a broader shift toward software-defined vehicles, where digital services become central to the ownership experience and a new source of competitive differentiation for automotive brands.
The integrated platform combines Cinemo's in-car infotainment software with SmashLabs' music-based gaming technology to create a synchronized, multi-sensory entertainment experience. During gameplay, compatible vehicle systems—including ambient lighting, haptic feedback, premium audio, and climate controls—respond dynamically to player actions, creating an environment that extends beyond traditional screen-based gaming.
The first title available through the platform is Smashworld: Beat Explorers, a rhythm-based music game in which gameplay is synchronized with songs and enhanced by Dolby Atmos® immersive audio when supported by vehicle hardware. Through partnerships with Sony Music Publishing and Extreme Music, part of the Sony Group, users can access downloadable music packs that expand the gaming experience over time.
The collaboration illustrates how automotive software ecosystems are rapidly expanding beyond conventional infotainment functions. Connected vehicles increasingly integrate streaming services, gaming platforms, digital assistants, cloud connectivity, and app ecosystems, transforming vehicles into digital living spaces rather than simply modes of transportation.
This transition is particularly relevant as electric vehicle (EV) adoption grows worldwide. Charging sessions often create idle time ranging from 20 to 40 minutes, prompting automakers to explore new entertainment services that improve the overall ownership experience while vehicles recharge. Interactive gaming has emerged as one of several digital services capable of increasing passenger engagement during these periods.
For automotive manufacturers, immersive cabin experiences are becoming a strategic differentiator. As hardware innovations become more standardized across the industry, software experiences increasingly influence purchasing decisions and long-term customer loyalty.
Major automotive and technology companies including Tesla, Mercedes-Benz, BMW, Google, Apple, NVIDIA, Qualcomm, and Sony continue investing in connected vehicle software, digital cockpits, artificial intelligence, cloud services, and entertainment ecosystems. These investments support the broader evolution toward software-defined vehicles, where software updates continuously introduce new capabilities throughout the vehicle lifecycle.
Cinemo's technology is designed to support this transition by providing scalable infotainment software that operates across multiple displays, audio systems, and connected devices within the vehicle. Low-latency synchronization ensures gaming interactions remain responsive while coordinating with vehicle hardware in real time.
From an enterprise perspective, collaborations between automotive software providers and gaming companies highlight a growing convergence between mobility, entertainment, and digital services. Vehicle manufacturers increasingly seek partnerships that accelerate software innovation without requiring in-house development of every application or content ecosystem.
Industry analysts expect this convergence to continue accelerating. According to McKinsey & Company, software and digital services are becoming increasingly important revenue opportunities for automakers as connected vehicles enable recurring subscription models and value-added digital experiences. Meanwhile, IDC projects continued growth in software-defined vehicle technologies as manufacturers invest in cloud-native architectures, AI-powered infotainment, and connected mobility platforms.
Gaming represents one of the most promising applications within this ecosystem because it leverages existing vehicle displays, premium audio systems, and connectivity infrastructure while creating opportunities for downloadable content, subscriptions, and third-party partnerships.
The Cinemo–SmashLabs collaboration also demonstrates how entertainment platforms are becoming more context-aware. Rather than replicating home gaming experiences, the companies are designing experiences specifically optimized for the vehicle environment, incorporating physical vehicle systems into gameplay to create interactions unavailable on conventional gaming consoles or mobile devices.
As connected mobility continues evolving, software-defined cabins are expected to support an expanding range of digital experiences, from streaming media and productivity tools to wellness applications and interactive entertainment. The partnership between Cinemo and SmashLabs signals how immersive gaming could become a key component of next-generation in-car infotainment, reinforcing the growing importance of software ecosystems in the future of connected transportation.
The automotive industry is rapidly transitioning toward software-defined vehicles (SDVs), where digital services, cloud connectivity, AI, and infotainment platforms play a central role in customer experience. McKinsey & Company estimates that automotive software and digital services will become major revenue drivers over the coming decade, while IDC forecasts continued investment in connected vehicle platforms, edge computing, and intelligent mobility technologies. Entertainment ecosystems, including gaming, are expected to become increasingly important differentiators for automakers.
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marketing 20 Jul 2026
As connected TV (CTV) advertising continues to grow, marketers are facing persistent challenges around frequency management, inventory quality, and campaign efficiency. Marketing Architects says its proprietary demand-side platform (DSP), Annika, has evolved to address these issues through AI-driven optimization, enhanced frequency controls, broader inventory access, and international expansion, reflecting the industry's shift toward performance-focused programmatic advertising.
The rapid expansion of Connected TV (CTV) advertising has transformed how brands reach streaming audiences, but it has also exposed structural inefficiencies in the programmatic advertising ecosystem. Overexposed households, fragmented inventory, inconsistent measurement, and limited transparency remain persistent concerns for advertisers seeking stronger return on media investments.
Against this backdrop, Marketing Architects has outlined the latest evolution of Annika, its in-house demand-side platform (DSP), highlighting new capabilities designed to improve campaign performance across CTV, Over-the-Top (OTT), and traditional linear television advertising.
Originally introducing Connected TV capabilities in 2023, Annika has since expanded its inventory footprint significantly, with the company reporting that available inventory has nearly doubled over the past year. The platform now supports a broader mix of OTT publishers and international media markets, reflecting growing advertiser demand for scalable streaming campaigns across multiple geographies.
Unlike conventional DSPs built primarily to maximize media spending, Marketing Architects positions Annika as a performance-oriented platform focused on optimizing campaign efficiency rather than simply increasing impressions. This distinction influences how the platform manages audience exposure, inventory allocation, and real-time bidding decisions.
One of the platform's key enhancements addresses a longstanding issue within CTV advertising: excessive ad frequency at the household level. Because many streaming platforms rely on IP-based identifiers, certain households can receive hundreds of impressions from a single campaign, resulting in wasted advertising budgets, diminished user experience, and reduced campaign effectiveness.
Annika's updated frequency management system is designed to detect these patterns automatically and limit further impressions once predefined thresholds are reached. According to Marketing Architects, advertisers using the enhanced controls have reduced high-frequency IP exposure by more than 70%, allowing campaigns to distribute impressions more evenly across broader audiences.
The platform also introduces source diversification controls aimed at reducing dependence on individual streaming publishers. By applying budget caps across inventory sources, Annika allocates advertising spend among multiple high-performing streaming applications while preventing excessive concentration on a single media partner.
For advertisers, diversified inventory strategies can improve campaign resilience by reducing supply risks and providing broader audience reach. As streaming ecosystems become increasingly fragmented, balancing spend across multiple publishers has become an important optimization strategy within programmatic advertising.
Beyond audience management, Annika has expanded support for more localized and specialized campaign execution. The DSP now enables geo-targeted advertising at both ZIP code and location levels, allowing marketers to deploy unique creative assets and dedicated budgets for individual geographic markets. These capabilities are particularly relevant for retailers, franchise businesses, political campaigns, healthcare organizations, and regional service providers requiring hyperlocal audience targeting.
The platform has also improved technical performance. Marketing Architects reports that response latency has been reduced to approximately three milliseconds, enabling faster bidding decisions and more responsive optimization as campaign performance data changes in real time.
These developments align with broader changes across the digital advertising industry. Connected TV has evolved into one of the fastest-growing advertising channels as audiences continue shifting from traditional broadcast television toward streaming platforms. Brands increasingly expect DSPs to provide sophisticated optimization capabilities alongside improved transparency, measurement, and privacy-conscious targeting.
Major advertising technology providers including Google, Amazon Ads, The Trade Desk, Microsoft Advertising, and Adobe continue investing heavily in AI-driven media buying, predictive optimization, audience modeling, and cross-channel campaign management. The growing adoption of machine learning enables advertising platforms to optimize bidding strategies, reduce waste, and improve media efficiency across increasingly fragmented digital environments.
Industry research reinforces this momentum. According to eMarketer, global spending on Connected TV advertising continues to rise as marketers allocate larger portions of their media budgets toward streaming platforms. Meanwhile, Gartner has identified artificial intelligence and automation as increasingly critical technologies supporting digital advertising optimization, customer engagement, and marketing performance measurement.
The evolution of Annika also reflects a broader trend toward proprietary advertising technologies. Agencies are increasingly developing in-house platforms that provide greater control over campaign optimization, measurement methodologies, and media buying strategies rather than relying exclusively on third-party advertising infrastructure.
For enterprise marketing teams, these developments could help address ongoing challenges associated with fragmented streaming ecosystems. Better frequency management, inventory diversification, lower latency, and localized campaign execution contribute to more efficient media spending while supporting stronger campaign performance across linear TV, CTV, and OTT environments.
As streaming audiences continue to expand and advertisers demand greater accountability for media investments, DSPs capable of combining AI-driven optimization with transparent performance measurement are expected to play an increasingly important role in the future of programmatic television advertising.
Connected TV has become one of the fastest-growing segments of digital advertising as consumers continue migrating toward streaming platforms. eMarketer forecasts sustained growth in CTV ad spending, while Gartner identifies AI-powered campaign optimization as a strategic priority for modern marketing organizations. The industry's focus is shifting toward improving media efficiency through intelligent frequency management, inventory transparency, privacy-first targeting, and automated performance optimization.
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marketing 20 Jul 2026
As Southeast Asia accelerates industrial modernization, Thailand is emerging as a key destination for advanced manufacturing, automation, and industrial digitalization. The Intelligent Manufacturing Expo Southeast Asia (IME 2026), scheduled for July 22–24 in Bangkok, aims to connect manufacturers, technology providers, and industrial buyers across ASEAN, highlighting how artificial intelligence, robotics, industrial automation, and green technologies are reshaping the region's manufacturing ecosystem.
Global manufacturing is entering a new phase defined by automation, artificial intelligence, and sustainability, and Southeast Asia is becoming an increasingly important center of that transformation. Against this backdrop, the Intelligent Manufacturing Expo Southeast Asia (IME 2026) will bring together industrial technology providers, manufacturers, and policymakers in Bangkok to explore how digital innovation is reshaping production across ASEAN.
Taking place at the IMPACT Exhibition and Convention Center from July 22–24, IME 2026 marks the first overseas event independently organized by the team behind the China International Industry Fair (CIIF). The exhibition is jointly organized by China's Ministry of Commerce Trade Development Bureau, DEXPO Shanghai Industry & Commerce Exhibition Co., Ltd., and Hannover Milano Fairs Shanghai Ltd.
The event reflects broader changes in global supply chains. As manufacturers diversify production locations and invest in more resilient operations, ASEAN countries are attracting increasing interest due to their growing industrial bases, strategic location, and expanding domestic markets. Thailand, in particular, has positioned itself as a regional manufacturing hub through initiatives such as the Thailand 4.0 strategy and the Bio-Circular-Green (BCG) Economy Model, both designed to accelerate digital transformation and sustainable industrial development.
IME 2026 will showcase technologies aligned with these priorities, including industrial automation, robotics, artificial intelligence, system integration, smart production lines, CNC machinery, industrial internet technologies, and digital manufacturing solutions.
Nearly 150 companies from China and international markets are expected to participate, covering an exhibition area of approximately 5,000 square meters. The event's focus extends beyond product demonstrations to practical industrial applications and business collaboration, reflecting growing demand for technologies that improve productivity, energy efficiency, and operational resilience.
One of the defining trends shaping manufacturing today is the integration of AI and industrial automation into production environments. Manufacturers are increasingly deploying intelligent control systems, machine vision, robotics, predictive maintenance platforms, and industrial data analytics to optimize operations and reduce costs.
Technology providers such as Shenzhen Inovance Technology, Bodor Laser, Han's Laser, and HSG Laser are expected to demonstrate systems designed to support these goals. Products on display include laser cutting technologies, industrial drives, smart control systems, and automated manufacturing equipment capable of supporting both precision manufacturing and large-scale industrial production.
Real-world implementations are also becoming a major focus. For example, Han's Laser has deployed a high-power laser cutting system in Thailand's Chonburi province, while DENAIR's oil-free air compressor technologies have reportedly helped manufacturers improve energy efficiency. In Vietnam, THACO has expanded its use of automated laser equipment to support production operations.
These examples illustrate how industrial technologies are moving beyond pilot projects into broader commercial adoption across Southeast Asia.
For manufacturers, the transition toward smart factories increasingly requires integrated technology ecosystems rather than isolated automation tools. Companies are combining robotics, AI, industrial internet platforms, sensors, cloud computing, and digital twins to create more connected production environments.
Major technology companies including Microsoft, Google Cloud, Amazon Web Services (AWS), Siemens, and Schneider Electric continue investing in industrial AI, edge computing, and cloud-based manufacturing platforms that enable real-time production monitoring and intelligent automation.
According to McKinsey & Company, manufacturers adopting digital technologies can significantly improve productivity, operational efficiency, and energy management. Meanwhile, IDC forecasts continued growth in spending on industrial automation, AI, and digital transformation technologies as organizations modernize manufacturing infrastructure.
IME 2026 also aims to facilitate cross-border collaboration through a series of forums, networking sessions, and business-matching events connecting Chinese and Thai companies. This reflects the growing importance of industrial partnerships as manufacturers seek access to technology, expertise, and regional market opportunities.
The event has received support from organizations including the Federation of Thai Industries (FTI), Thai Automation and Robotics Association (TARA), Thailand Automotive Institute (TAI), and several research institutions and industry groups across Thailand and China.
For ASEAN, smart manufacturing is becoming a strategic priority as governments seek to strengthen industrial competitiveness while supporting sustainability goals. Investments in automation, energy-efficient production, and industrial AI are expected to play a central role in the region's economic development over the coming decade.
IME 2026 highlights this broader transition by creating a platform where technology providers, manufacturers, and policymakers can explore practical applications of industrial innovation. As supply chains continue to evolve, the ability to combine automation, artificial intelligence, and sustainable production practices is likely to become a defining factor in the competitiveness of ASEAN manufacturing.
ASEAN is becoming a key destination for advanced manufacturing investment as companies diversify global supply chains and accelerate digital transformation. IDC projects continued growth in industrial AI, automation, and smart factory technologies, while McKinsey & Company highlights digital manufacturing as a major driver of productivity gains. Thailand's Thailand 4.0 strategy and BCG Economy Model are reinforcing the country's role as a regional hub for intelligent manufacturing, green industry, and industrial innovation.
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