The Fundamentals of Smart Manufacturing
The Fundamentals of Smart Manufacturing
Manufacturing is changing at a very rapid pace. There is a new type of connected, data-driven, and architecturally open factory emerging in response to these demands, led by the Industrial Internet of Things (IIoT). Along with increased machine automation, other characteristics of this new smart factory include hyper-agility, autonomous production, and data utilization as a tool for business.
Research conducted by Accenture for the World Economic Forum showed that 73% of the C-level executives interviewed were convinced that the IIoT would fundamentally change their industry. But just 20% had a strategy for harnessing it. Companies that want to succeed in the future must master the radical digital transition headed our way by opening themselves to a journey that will change their organization models beyond recognition – the alternative being a catastrophic loss of market share and profitability.
Smart, connected and data-driven
Smart manufacturing is now seen as a natural progression of the “digital convergence” already underway between information technology (IT) and operational technology (OT). There are four essential characteristics that set it apart.
Firstly, the smart factory uses data and IIoT connectivity to easily control all aspects of operations in near real-time, with near full automation across all locations. IoT and digital investment is the foundation for proactive, self-aware factory operations, maintenance and innovation.
Sensor-equipped machines, inter-operable systems and reliable real-time computing are connecting machines across the smart factory. Product, raw materials, equipment, and control systems all have the potential to collect and share data. This data can be analysed in context and in real time to equip workers with actionable information.
Throughout the factory, end-to-end security at both hardware and software levels helps reduce vulnerabilities as more machines are connected. With more than 40 years of experience in both OT and IT solutions, Advantech is uniquely qualified to address the issues of OT-IT convergence which are fundamental to migration from yesterday’s ‘islands of automation’ to tomorrow’s smart factories.
A self-managing “Systems of Systems”
Secondly, the smart factory is based on multiple interconnected systems, each with a high level of flexibility, efficiency, and autonomy. Future factories will eventually become one large system comprising hundreds of smaller systems independently working toward the same goal. From production and maintenance to supply chain and security, each system and subsystem uses AI, machine vision, deep learning, and edge analytics to control everything on the factory floor.
This environment of machine-to-machine communication improves operational efficiencies and reduces unplanned downtimes. Production becomes so responsive to custom requests and material variations that the factory essentially operates at “economies of one” to compete with today’s economies of scale.
Self-monitoring equipment using sensors such as Advantech’s LoRaWAN smart vibration sensor can detect when quality could suffer due to degradation and then schedule its own service. Materials follow the most efficient path, and workloads are consolidated at all architecture layers to provide the flexibility to respond to fast-changing demands. Orchestration of applications and services across hardware enables data aggregation and control to provide new levels of performance.
Human-machine collaboration
A third aspect of the smart factory is its emphasis on machine-to-human collaborations, allowing employees to work more safely and empowering them to make faster, more educated, innovative responses to business needs. As smart factories reduce the number of humans on the floor, workers are helped by collaborative ‘co-bots’ on complex tasks, while repetitive, injurious work is handled by robots.
Workers use augmented reality and data visualisation to overlay information about production, maintenance and product status. A digital culture encourages the use of data for daily work, freeing employees to respond with greater creativity to resolve issues and support business success. A younger workforce is attracted through updated technology, safer work environments, and roles better suited to their generation.
Autonomous and self-adapting
Through autonomy and adaptability, the smart factory enables manufacturers to expand IIoT’s application and value to support changing business strategies.
The factory is becoming smarter and more autonomous over time, using data to optimise resource allocation and transform businesses. As more machines and systems are connected, manufacturing matures into an intelligent factory model in which OT and IT converge and strategically engage in business decisions.
AI and deep learning produce increasingly detailed, accurate and meaningful digital models of equipment and processes, enabling data-driven decision-making; and devices will grow more intelligent over time and respond to events more efficiently. Production controls become self-running, and new business approaches emerge.
Aided by the insights from data, the main manufacturing drivers have expanded from efficiency and product quality to also include production flexibility. Amid this continually evolving environment, the factory systems become increasingly intelligent and autonomous with systems beyond themselves.
Key trends shaping the future of manufacturing
In a smart factory environment, “data collection” refers to the process of gathering information from the manufacturing processes, equipment, and systems involved in production. Data collection in a smart factory is typically facilitated by various sensors, IoT devices, and automation systems that continuously monitor and record relevant information in real-time. This data is then aggregated, processed, and analysed using advanced analytics, machine learning algorithms, and other tools to gain insights, optimize processes, improve efficiency, and make data-driven decisions.
EdgeLink, a versatile IoT gateway software, is engineered to connect with over 200 edge devices and diverse platforms. It adeptly supports multiple protocols, unifying data sources, optimizing data processing, and publishing data to mainstream platforms or other automation systems through cellular, 4G, 5G, Wi-Fi networks, and VPN connections.
“Edge AI” and “Edge Computing” refer to the processing and analysis of data at or near the ‘edge’ of the source of data generation, rather than relying on centralized cloud computing resources. In the context of an intelligent or smart factory, edge computing and AI technologies are employed to perform data processing, analysis, and decision-making tasks directly within the factory environment. They play a crucial role in enabling the responsiveness required in modern manufacturing environments, contributing to the concept of Industry 4.0 and the evolution of smart factories.
MES (Manufacturing Execution System) and ERP (Enterprise Resource Planning) are software systems used to manage manufacturing operations and overall business processes, while OEE (Overall Equipment Effectiveness) is a performance metric used to assess the efficiency of equipment or processes. These concepts are all essential components of modern manufacturing management practices.
In the context of a smart factory, “Analytics AI” and “Machine Learning” (ML) are critical components that enable data-driven decision-making, optimization, and automation. They play crucial roles in leveraging the vast amount of data generated in a smart factory environment to drive insights, improve decision-making, optimize processes, and ultimately enhance productivity and profitability. They enable the transformation of data into actionable intelligence, empowering manufacturers to adapt quickly to changing conditions and stay competitive in today’s fast-paced business environment.
Industrial connectivity refers to the network infrastructure and technologies used to connect various devices, systems, and components within an industrial environment. It enables seamless communication and data exchange between machines and other equipment, facilitating industrial processes. Industrial connectivity is a foundational element of Industry 4.0 and the concept of the IIoT.
Overall, industrial connectivity is essential for enabling automation, data-driven decision-making, and optimization in industrial environments. It forms the foundation for Industry 4.0 initiatives aimed at improving efficiency, productivity, and competitiveness in industrial sectors.
Advantech’s Role in Driving Smart Manufacturing
Software tools play a crucial role in the optimization of smart factories. These tools encompass a wide range of applications and platforms designed to support manufacturing planning, execution, monitoring, analysis, and optimization. Advantech’s WebAccess and other IoT software products provide a complete solution for device and data management to enable edge intelligence.
Advantech has implemented Industry 4.0 in its manufacturing centres, including a ‘situation room’ as the factory’s central brain where data is collected, analysed and visualised for real-time management. The equipment connectivity solution – consisting of an edge data gateway and distributed digital I/O – facilitates machine connections without replacing existing equipment while also collecting data. The industrial computer with Advantech software enables data transfer between production and management systems.
The process visualisation solution enables production monitoring, data integration with MES, and visualisation on the situation room dashboards. This allows production optimization and data-driven decision making. The Advantech WebAccess app gives push notifications of unexpected downtime, allowing immediate action to be taken.
The fundamentals of smart manufacturing aren’t slowing down. When combined together, they usher a new Industrial Internet of Things (IIoT) era where machine automation, hyper-agility, autonomous production, and data utilization deliver transform business processes.
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Smart Farming: 6 Emerging Trends for Agritech Startups to Watch
Smart Farming: 6 Emerging Trends for Agritech Startups to Watch
The agriculture sector is changing, and the revolution is as a result of technological development. The concept of smart farming involving the use of advanced technologies such as AI, IoT, and big data analytics is defining the future of agricultural practices and is currently generating a tidal wave of opportunities for agritech startups. These startups are well placed to meet the growing demand for food around the world while at the same time offering efficient, sustainable farming solutions.
Here are six emerging trends and the opportunities that they present for agritech startups:
- Precision Agriculture: Data-Driven Farming for Maximum Efficiency
Precision agriculture is an important pillar of smart farming, which includes the use of data in enhancing farming methods. Precision agriculture helps to make real-time assessments of factors like soil, water, and crop health. The use of satellite imaging, GPS, and sensory technology enables the farmer to apply water, fertilizers, and pesticides appropriately, increasing production and minimizing wastage.
For agritech startups, this presents the opportunity to create systems that collect data and present this to farmers so they can make better decisions. Such sensors, drones, or software solutions can be created by startups, and this real-time data can help farmers to work most efficiently, with the lowest operational expenses and with reduced emission of pollutants to the environment. The possibility of customization of these solutions depends on the type of crops and geographic location, which only adds value to these solutions.
2. AI-Driven Crop Management: Enhancing Productivity and Decision-Making
Artificial intelligence (AI) is rapidly transforming crop management, where it performs tasks which were previously handled manually and also carries out risk assessment. Automated crop management employs big data analytics by relying on machine learning (ML) algorithms to predict climate changes, disease risks, and the optimum time for harvesting. This makes it possible for the farmers to prevent anything that might hinder the growth of the crop and also improve the yield of the crop.
Agritech startups can leverage artificial intelligence to create apps that will assist farmers in managing the growth of crops, pinpointing the onset of diseases, and assisting in informed decision-making. Their products might also ensure optimal use of materials and manpower, reduce costs on labor, and boost the management of the supply chain.
If the startups manage to tackle such essential problems as crop losses and resource wastage, they will have a great potential for enhancing food safety and environmentally friendly technologies.
3. IoT Integration: Connected Devices for Smarter Farms
The arrival of the Internet of Things (IoT) in the agtech space is making everything more connected by using devices such as smart devices, automatic irrigation machines, and drones. These IoT devices help farmers monitor and manage their farms even from far away by providing real-time information about the soil, weather, and the performance of the equipment on the farm.
When it comes to agritech startups, IoT offers themselves a grand avenue to grow solutions that address the multiplicities of the farming value chain. Startups can develop software that optimizes irrigation based on forecasts or work on drones, which will help to control the state of huge fields and identify if crops are stressed.
4. Robotics and Automation: Redefining Labor and Productivity
Robotics and automation convergence in agriculture is mitigating the growing shortage of labor force and increasing efficiency. In terms of reliability, autonomous machines do relieve people of responsibilities in activities such as planting, weeding, and harvesting among other responsibilities.
From an innovation perspective, technologists in startups can identify the low-hanging fruit of using robots in the agricultural industry regarding repetitive duties that require human intervention in undertaking the task.
Automation technology offers scalability, enabling farmers to manage larger areas of land without compromising productivity. With advancements in AI and machine learning, these robots can adapt to different environments and crops, making them a versatile solution for diverse farming needs.
5. Blockchain for Traceability and Transparency
A trend that recent studies have identified is the application of that technology in the food supply chain which primarily guarantees the traceability of products. With the use of blockchain technology, all the information relating to farming, such as what seeds were planted, how the farm was cared for, and how the crops were transported, is stored in a secure, tamper-proof mode. This kind of transparency is not only appealing to the consumer who wishes to trace the sources of the delicacy but also helps the growers in defending their earnings and minimizing swindles.
Such agritech startups can easily leverage blockchain to create ecosystems that will guarantee proper quality assurance at every level of food production to combat and prevent any violations of the quality standards or environmental laws. It will increase the level of transparency, and assist in trusting farmers in terms of their ability to meet consumer needs and be competitive in the market.
6. Sustainability and Climate Resilience: Future-Ready Farming
However, because climate change is an ongoing process that impacts agriculture in a negative way, climate-friendly and sustainable farming practices are required more than ever before. There are increased uses of practices like regenerative agriculture farming and efficient water use, while innovations such as artificial intelligence and the internet of things are making farming more efficient.
The major opportunity that presents itself to agritech startups is to design solutions that ensure farmers make minimal negative impacts on the environment and are sustainable. This ranges from developing tools that help in the conservation of water, reducing the use of chemicals, and generally improving the ground. Climate-smart agriculture is one of the key areas that start-up companies will be able to address in a short time, hence becoming profitable ventures, especially due to the increasing demand for environmentally friendly farming practices.
Seizing the Opportunities: The Role of Agritech Startups
With the advent of artificial intelligence, IoT, robotics, and data analytics in the agricultural industry, there is a conducive environment for agritech startups to thrive. As those startups come up with solutions that address some of these major challenges in farming, such as food production, sustainability, and resources, they will also shape the future of farming while occupying a large niche in the global agritech market.
It will be startups that are innovative, scalable, and sustainable that will drive the change in traditional farming practices. Working hand in hand with farmers, scientists, and governments, agritech startups have the potential to widely implement smart farming tools and establish a better, more productive farming industry.
To summarize the above thoughts, the future of agriculture will belong to people creating better technological solutions for farming and optimizing farming for the benefit of both people and the environment. This is the moment for agritech startups to come up with solutions and capture the market. Agricultural startups have a unique opportunity to look for a solution for current problems and shape the future of agriculture with a global trend for food security and new sustainable agricultural practices.
Read the article here: Smart Farming: 6 Emerging Trends for Agritech Startups to Watch
Smart Cities And E-Health: The Convergence Of Urban Infrastructure And Digital Healthcare
Smart Cities And E-Health: The Convergence Of Urban Infrastructure And Digital Healthcare
In an era where digital transformation is reshaping industries, the convergence of smart cities and e-health is redefining urban living. Smart cities are no longer just about optimizing transportation, utilities and governance. They are evolving into intelligent ecosystems where digital healthcare is becoming a core element of urban planning. As cities grow and technology advances, integrating healthcare into urban infrastructure is reshaping how medical services are delivered, accessed and managed.
The convergence of smart cities and e-health is about reimagining healthcare delivery in a way that is more accessible, efficient and responsive. Cities are moving beyond traditional models of care by leveraging AI, IoT and real-time data analytics to improve patient outcomes and healthcare accessibility.
Specifically, the increasing adoption of agentic AI systems provides sophisticated and real-time monitoring and decision making for enhanced services. Agentic AIs are capable of taking autonomous actions to achieve specific goals or objectives, typically based on predefined rules, learned patterns or programmed behaviors. The shift toward technology-driven healthcare solutions is setting new standards for urban well-being and quality of life.
Smart Cities As Enablers Of Digital Healthcare
The United Nations Department of Economic and Social Affairs estimates that 68% of the global population will live in urban areas by 2050. Many of these cities will be built using smart infrastructure principles that rely on real-time data, AI and IoT-driven systems to improve efficiency and sustainability.
By integrating e-health solutions into urban infrastructure, cities can make healthcare services more connected, data-driven and patient-centric. Digital transformation is ensuring that healthcare is no longer confined to hospitals and clinics.
A study by Fardin Quazi (2024) on “eHealth Services in Comprehensive Smart Environments” highlights the role of urban infrastructure in supporting digital healthcare and the seamless interaction between them. The research emphasizes seamless interactions between smart environments in enhancing patient care and streamlining healthcare operations through advanced digital technologies.
How Smart City Infrastructure Supports E-Health
The global e-health market is currently valued at $274.35 billion and is expected to reach $576.73 billion by 2030. The U.S. remains at the forefront of this growth, driven by the increasing demand for smart, technology-enabled healthcare solutions. Urban infrastructure plays a crucial role in supporting this transformation in several ways.
Real-Time Health Monitoring And IoT Connectivity
In a smart city, healthcare is no longer limited to in-person visits. Wearable devices, home-based health monitoring systems and IoT-powered medical sensors provide real-time data on patients’ vital signs, such as heart rate, oxygen levels and glucose levels. Agentic AI complements this by analyzing the data in real time and triggering actions without waiting for manual input.
This data is transmitted securely to healthcare providers, enabling remote monitoring and timely medical intervention. By integrating real-time health tracking with urban data systems, cities can create more proactive healthcare models that focus on preventive care rather than reactive treatment. This shift reduces hospital overcrowding and enhances medical efficiency.
Emergency Response Optimization
Cities with AI-powered emergency response systems and real-time traffic monitoring are improving the efficiency of medical services. By leveraging real-time GPS data, ambulances can navigate faster routes, bypass congested areas and reduce response times in critical situations.
Additionally, AI-assisted surveillance systems can detect accidents, medical emergencies or sudden health incidents in public spaces, triggering automatic alerts to emergency responders. These innovations are particularly valuable in large urban centers where delays in emergency response can have life-threatening consequences.
The increasing use of agentic AI in smart traffic management is aiding in better monitoring and real-time response. For instance, if a pedestrian meets with an accident or faces a health emergency in a public space, agentic AI surveillance can identify the incident, alert emergency responders and analyze environmental factors such as air quality or crowd density to determine potential causes.
Telemedicine And Virtual Healthcare Services
Telemedicine is becoming a mainstream mode of healthcare delivery rather than an alternative to traditional consultations. With 5G connectivity, cloud-based healthcare platforms and AI-powered diagnostics, patients can now consult doctors remotely without visiting a hospital. This transformation is particularly beneficial for elderly residents, individuals with mobility challenges and underserved communities.
Smart city infrastructure is also facilitating the deployment of virtual health kiosks, allowing residents to access medical consultations and conduct basic health screenings conveniently. Beyond facilitating virtual consultations, agentic AI systems can autonomously schedule follow-ups, analyze symptoms during video calls and recommend diagnostic tests based on patient data.
Recognizing the growing impact of digital healthcare, the U.S. Department of Health and Human Services (HHS), through HRSA, allocated $55 million to 29 health centers to expand access to telehealth, remote patient monitoring and AI-driven health technologies. These investments are reinforcing the role of smart infrastructure in supporting accessible healthcare.
Challenges In Smart Healthcare Integration
Despite its potential, integrating e-health into smart cities presents significant challenges. Data privacy and security remain primary concerns, as healthcare data must be securely transmitted and protected from cyber threats. Additionally, ensuring interoperability between different healthcare platforms, IoT networks and urban systems is an ongoing challenge that requires industry-wide standardization.
Another critical issue is bridging the digital divide. While smart healthcare solutions are advancing, not all urban residents have equal access to digital health services. Investments in affordable digital literacy programs, healthcare technology accessibility and public-private collaborations will be necessary to ensure inclusivity.
Collaboration between healthcare providers, technology developers and policymakers is essential to overcoming challenges in digital healthcare integration.
The Future Of Smart Cities And Healthcare
As cities continue to evolve into data-driven, intelligent environments, healthcare will become an even more central component of urban planning. Future innovations in AI-driven personalized medicine, blockchain-secured health records and 5G-enabled smart hospitals will further revolutionize how cities manage healthcare services.
Public-private partnerships will play a key role in scaling digital healthcare initiatives, bringing together tech companies, government agencies and healthcare providers to create sustainable solutions.
Healthcare is no longer just a standalone service—it is an intrinsic part of modern urban infrastructure. The cities of the future will not only be smarter and more efficient but also healthier and more resilient.
Read the article here: Smart Cities And E-Health: The Convergence Of Urban Infrastructure And Digital Healthcare
Prioritize play to help your city thrive in a post-pandemic world
Prioritize play to help your city thrive in a post-pandemic world
August 14, 2024
We are at a pivotal moment in urban development, facing a housing crisis that affects cities across North America. While addressing the housing shortage is unquestionably critical, we must also remember that cities, especially great cities, are more than shelters.
Cities are the birthplace of inventions, new forms of collaboration and vibrant social interactions. Over the years, much of the social infrastructure that fostered these interactions — such as corner stores, bowling alleys, clubs and bustling main streets — has been stripped away. Therefore, as we work to provide shelter and basic security, we must also rekindle the idea of cities as habitats for the human spirit, laying the foundations for a united, collaborative and flexible society capable of tackling the complex, interconnected issues of our age.
Often, traditional methods of city-building can obscure new opportunities. Perhaps we are now at a point where the erosion of old principles can allow us to leap forward with innovative ideas.
Historically, the relationship between a city and its residents was framed by the Live, Work, Play planning model. This model assumed that these three attributes, in that order, were what people looked for in a potential city. A core pillar of Live was housing and, in North America, home ownership. However, while cities are working diligently to catch up with the housing problem, the underlying causes and the attribute Live are often beyond a city’s control.
Another sign of a weakening city-resident relationship is the post-pandemic shift to flexible work models, especially in the innovation economy. Work is becoming less of a determining factor in where people live. Last year, 35% of workers did some or all of their work at home, according to a U.S. Bureau of Labor Statistics survey, meaning that Work is also an attribute not fully within a city’s control.
These changes suggest that cities are losing relevance in their relationship with residents, potentially leading to an era of mediocre cities. But mediocrity is not sufficient for social, economic and environmental reasons. Cities need to thrive. Anything less will accelerate social isolation and division.
If we move past the old, ineffective priorities, we can see a new opportunity in Play. Traditionally, Play was the afterthought attribute of city building — prioritized last, funded with leftover money and created on land that wasn’t useful for anything else. Given the tenuous state of Live and Work, how a city facilitates social interaction between residents (Play) is now the best way to differentiate its offering and directly improve social and economic prosperity. Moreover, Play is entirely within the control of cities.
Play, as a city attribute, means connecting residents and making them feel they belong. It means celebrating a city’s uniqueness and identity, putting inclusiveness into action, supporting an innovative entrepreneurial ecosystem, fostering trust and compassion, and offering vibrancy that helps a generation often cut out of homeownership feel like fully valued residents of a city.
Practically speaking, Play and the collective joy it creates can help address the housing crisis and other contemporary issues. Joyful cities redefine what it means to live in urban density in a “smaller” home by devoting public space to playful participation. In this model, neighborhoods become the best amenity for a home, and the city becomes everyone’s communal backyard.
Joyful cities are also more competitive in today’s innovation economy, which thrives on ideas, invention and the people who create them. A city’s ability to attract creative talent through vibrant living, collaborative spaces and a lifestyle that blends work and play will determine its economic future.
Despite our efforts to solve the housing problem, cities are unlikely to revert to what they once were. But we can move forward with a Play+Live+Work = Thriving joyful cities prioritization.
It starts with asking, “How do we want our city to play?”
Read the article here: Prioritize play to help your city thrive in a post-pandemic world
What Is a Smart Home?
What Is a Smart Home?
July 12, 2024
The term ‘smart home’ has become an increasingly popular buzzword in the world of home security. Every aspect of our home life seems to become increasingly digitized, with the realm of domotics —a contraction originating from the Latin word ‘domus’, meaning home, and the term ‘robotics’— being front and center throughout this process.
But what does having a smart home even mean and how can homeowners use this technology to increase the peace of mind in their home? Read on to learn more about the nuts and bolts surrounding this increasingly popular term.
What is a smart home?
A smart home is a living space with home automation devices that use an internet connection. Connected devices can communicate with each other and synchronize tasks through a common network. This differs from home automation in general, which can include devices connected through other means such as bluetooth and local networks.
Smart home devices are usually connected through Wi-Fi and are included in the broader term of the Internet of Things (IoT), which includes devices connected through local networks. A smart home can increase the energy efficiency in your home, improve your home security system and make your daily task easier to manage.
History of smart homes
Although we may not think of it this way now, technically, a washing machine is an example of home automation. A task that was once commonly done by hand and took a considerable amount of time and energy was now processed automatically by a machine. In this way, the rise of home appliances in the beginning of the 20th century was the first wave of home automation.
The first main communication protocol for electrical devices, X10, was invented in 1975. The protocol uses power line wiring for signaling and control between appliances and is still widely used today. Modern interest with home automation started in the late 1990s and kept growing as Wi-Fi access and new connecting technologies became more prevalent.
How does smart home technology work?
Smart appliances can synchronize tasks in a specific sequence, known as a routine. These appliances communicate through home automation connectivity standards —technical specifications that ensure devices from different manufacturers can communicate with each other. Some, such as Z-Wave and Zigbee, are available only for specific brands, while the recent advent of Matter as a common standard across companies has gained traction.
Smart home products can also be activated through voice commands, usually with the aid of a voice assistant. The most common of these assistants are Amazon Alexa, Google Assistant and Apple’s Siri. Whether operated through a smartphone or a smart home hub, voice controlled assistants help you control multiple appliances at once and start routines that facilitate your daily life.
Examples of smart home technologies
- Smart lighting (such as smart light bulbs)
- Smart thermostats
- Smart home security appliances (such as security cameras)
- Smart locks
- Smart plugs
- Refrigerators
- Dishwashers
- Smart speakers
- Video doorbells
- Washers and dryers
- Ovens
- Sprinklers
- Motion sensors
- Televisions
- Automated garage door openers
Reasons to invest in a smart home system
A smart home can make your house more energy efficient by automating turning off lights at a certain time or optimizing your energy consumption. It can also improve your home security by integrating your home automation system with security cameras and motion sensor technology. This can then be controlled through a central hub or your smartphone.
However, smart home systems also can expose you to security risks in terms of data privacy —some gadgets connected through the IoT lack reliable encryption. Smart homes also need a consistent and reliable internet connection, which is not available in every part of the US. Ultimately, your home’s particular situation and needs are the factors you should consider to determine if smart home automation is right for you.
Read the article here: What Is a Smart Home?
Rise in AI Adoption Prompts Global Push for Regulation
Rise in AI Adoption Prompts Global Push for Regulation
June 14, 2004
The rapid expansion and deployment of generative artificial intelligence (gen AI) and AI more broadly across organizations worldwide has resulted in a global push for regulation.
In the US, President Joe Biden signed an executive order on AI in October 2023, laying out AI standards that are set to be eventually codified by financial regulators. Over the past five years, 17 US states have enacted 29 bills focused on regulating the design, development and use of AI, according to the Council of State Governments.
In China, President Xi Jinping introduced last year the Global AI Governance Initiative, outlining a comprehensive plan focusing on AI development, safety and governance. Authorities have also issued “interim measures” to regulate the provision of gen AI services, imposing various obligations relating to risk assessment and mitigation, transparency and accountability, as well as user consent and authentication.
Recently, Japanese Prime Minister Fumio Kishida unveiled an international framework for the regulation and use of gen AI called the Hiroshima AI Process Friends Group. The group, which focuses on implementing principles and code of conduct to address gen AI risks, has already gained support from 49 countries and regions, the Associated Press reported on May 03.
Impact of EU’s AI Act on financial services firms
The European Union’s AI Act is perhaps the most impactful and groundbreaking regulation to date. Approved by the EU Parliament in March 2024, the regulatory framework represents the world’s first major law for regulating AI and is set to serve as a model for other jurisdictions.
According to Dataiku, an American AI and machine learning (ML) company, the EU AI Act will have considerable impact on the financial services industry and firms should prepare for compliance now.
Under the AI Act, financial firms will need to categorize AI systems into one of four risk levels and take specific mitigation steps for each category. They will need to explicitly record the “Intended Purpose” of each AI system before they start developing the model. While Dataiku says that there’s some uncertainty about how this will be interpreted and enforced, it notes that this indicates a stricter emphasis on maintaining proper timelines than current regulatory standards.
Additionally, the AI Act introduces “Post Market Monitoring (PMM)” obligations for AI models in production. This means that firms will be required to continually monitor and validate that their models remain in their original risk category and maintain their intended purpose. Otherwise, reclassification will be needed.
Dataiku recommends financial services companies to promptly familiarize themselves with the AI Act’s requirements and assess whether current practices meet these standards. Additionally, documentation should begin at the inception of any new model development, particularly when models are likely to reach production, it says.
Moreover, Dataiku warns that the EU’s proactive stance may encourage other regions to accelerate the development and implementation of AI regulations. By 2026, tech consulting firm Gartner predicts 50% of governments worldwide will enforce use of responsible AI through regulations, policies and the need for data privacy.
A groundbreaking regulatory framework
The EU’s AI Act is the world’s comprehensive regulatory framework specifically targeting AI. The legislation adopts a risk-based approach to products or services that use AI, and impose different levels of requirements depending on the perceived threats the AI applications pose to society.
In particularly, the law prohibits applications of AI that pose an “unacceptable risks” to the fundamental rights and values of the EU. These applications include social scoring systems and biometric categorization systems.
High-risk AI systems, such as remote biometric identification systems, AI used as a safety component in critical infrastructure, and AI used in education, employment and credit scoring, are forced to comply with stringent rules relating to risk management, data governance, documentation, transparency, human oversight, accuracy and cybersecurity, among others.
Gen AI systems are also subject to a set of obligations. In particular, these systems must be developed with advanced safeguards against violating EU laws, and providers must document their use of copyrighted training data and uphold transparency standards.
For foundation models, which include gen AI systems, additional obligations are imposed, such as demonstrating mitigation of potential risks, using unbiased datasets, ensuring performance and safety throughout the model’s lifecycle, minimizing energy and resource usage and providing technical documentation.
The AI Act was finalized and endorsed by all 27 EU member states on February 02, 2024, and by the EU Parliament on March 13, 2024. After final approval by the EU Council on May 21, 2024, the AI Act is now set to be published in the EU’s Official Journal.
Provisions will start taking effect in stages, with countries required to ban prohibited AI systems six months after publication. Rules for general purpose AI systems like chatbots will start applying a year after the law takes effect, and by mid-2026, the complete set of regulations will be in force.
Violations of the AI Act will draw fines of up to EUR 35 million (US$38 million), or 7% of a company’s global revenue.
AI adoption surges
Globally, jurisdictions are racing to regulate AI as adoption of the technology surges. A McKinsey survey found that adoption of AI has reached a remarkable 72% this year, up from 55% in 2023.
Gen AI is the number one type of AI solution adopted by businesses worldwide. A Gartner study conducted in Q4 2023 found that 29% of respondents from organizations in the US, Germany, and the UK are using gen AI, making it the most frequently deployed AI solution.
Read the article here:
https://fintechnews.ch/aifintech/rise-in-ai-adoption-prompts-global-push-for-regulation/71038/
‘Smart bus’ startup Zeelo, aimed at employers and schools, secures $14M to scale in the US

Ascent Cities News
Zeelo — a ‘smart buses’ platform providing bus operators, employers and schools with private bus and shuttle transport programs — has secured $14 million in a fresh Series A ‘extension’ round of funding. The new investment was led by FlatzHoffmann (a European growth equity investor) and was joined by IREON Ventures (the CVC arm of Motor Oil Hellas), and an unnamed Boston-based family office.
Zeelo now plans to accelerate sales and U.S. operations on the East and West coasts, as well as work on its tech platform.
A company spokesperson clarified that this round is an equity-based extension rather than a Series B or growth equity round because – based on its growth in the U.S. – the company plans to attract U.S. lead investors for its next stage of funding.
Until this point, Zeelo has ‘been through the wringer’ somewhat, after having to abruptly reverse out of an acquisition by mass transit group Swvl, which itself had fallen foul of the massive devaluations in SPACs. The lauded $100 million buyout was only announced three months prior to that.
Last year, Swvl, an Egyptian-born startup that provides shared transportation services for intercity and intracity trips, laid off 50% of its remaining headcount. The 99% stock tumble it took after a SPAC merger might have had something to do with it.
That said, while Swvl agreed to terminate the acquisition of Zeelo, it had already committed to a $5 million convertible promissory note for Zeelo, which the latter managed to retain.
Prior to all that, Zeelo had raised $19.6 million from investors such as ETF Partners, InMotion Ventures and angels. At pre-seed the company raised $1.6 million and then a seed of $6 million. Its Series A part 1 was $12 million, then the above Series A extension of $14 million. That makes its total Series A $26 million, with the total funds raised standing at $33.6 million.
Outside of the U.K., Zeelo now has a second headquarters in Boston, and co-founders Sam Ryan and Barney Williams have fully relocated to the U.S. It now has contracts with Fidelity and some unnamed large enterprise clients.
After a tumultuous 2022, Ryan, who is also Zeelo’s CEO, told me, the company was “thrilled” when it managed to get the Series A extension, especially in the current market: “But the underlying growth of business even through last year has been really strong.”
I asked him what has been fueling the business. In short, it’s down to both the lack of public transport options in the U.S. and the cost of living crisis: “Our business… works very well in places where there’s limited public transit, where people are car dependent. A lot of our customers are in manufacturing, distribution and warehouses where a lot of workers can’t afford cars. It’s a big issue outside of London, but it’s pretty much an issue everywhere outside of Manhattan.”
He said there was a “big increase in demand when fuel prices increased, because employees were becoming noisier about the cost of their car.”
He added that although there is spotty competition there is a large and ready market in the U.S. for this model: “On a deal by deal basis we rarely bump into anybody. There is some competition but given the size of the market, the whole thing is wide open.”
Christopher Hoffmann, Partner at FlatzHoffmann, added in a statement: “Zeelo is a unique and proven mobility player headquartered in Europe with a strong expansion push to the US. It combines a strong transit-tech platform with a clear sustainability mission.”
Read the article here: ‘Smart bus’ startup Zeelo, aimed at employers and schools, secures $14M to scale in the US
BT adds Gorilla video AI to smart ports tech roster

Ascent Cities News
BT entered into a strategic relationship with artificial intelligence-powered video analytics specialist Gorilla Technology, in order to deliver a container identification and damage detection solution as part of the Group’s growing “smart ports” interest.
Optimising operations and supply chain integrity
The solution is being offered via a video analytics suite, and is designed to reduce operational inefficiencies and, as a result, cut costs for those in the global container shipping industry.
AI and machine learning algorithms analyse video footage, which is captured at various stages throughout the container management process to rapidly identify, track, and inspect containers for signs of damage or tampering. The solution itself was engineered by Gorilla, but leverages BT’s network infrastructure.
Gorilla flagged that the solution is live at the Port of Tyne, near Newcastle, which handles cargo from five continents, and serves a network of sea routes, major roads, and rail. The duo claimed that they are “actively engaging” with logistics providers and shipping companies to integrate the container identification and damage detection solution into their operations.
The deal appears to be of significance to Gorilla, which saw its share price rise 13% after the deal was announced yesterday, albeit on a diminished base after an 80% drop over the past twelve months.
The integration of the solution is being facilitated through BT’s existing relationship with the Port of Tyne. In 2022, the pair signed a contract which would see BT install a 5G private network and “other cutting-edge surveillance and smart technology” at the port.
BT going big on Industry 4.0 R&D
The Gorilla tie-up is yet another indication of BT’s focus on leveraging its connectivity to support smart ports, and more widely, Industry 4.0 solutions. BT unveiled its flagship smart port project at Belfast Harbour in 2020 and flagged developments and partnerships at the site in 2022. It was declared a “platform for innovation”, and BT launched a managed edge cloud offering at the maritime hub (BTwatch, #317, #323, and #336).
Read the article here: BT adds Gorilla video AI to smart ports tech roster
How Ports are Using Technology to Boost Efficiency

Ascent Cities News
Implementing technology can increase the capacity and efficiency of a port – for example, through optimising loading or unloading cargo operations and reducing the number of workers needed to manage such processes. Jenny Eagle investigates.
The ports industry is facing a range of emerging challenges including growing freight traffic, increasing pressure to address environmental concerns, operational challenges and the ongoing pandemicinduced disruption. To overcome these challenges, port operators are increasingly turning to technology.
According to a report by KPMG, Anchored in the New Reality, six technologies are emerging as key enablers of more efficient operations: the Internet of Things (IoT), blockchain, drones, high-bay storage (HBS) systems, data and analytics applications, and digital exchange platforms.
IoT is considered the cornerstone of the broader technology transformation due to the clear need to digitalise the delivery process for monitoring cargo and deliveries using smart sensors.
HAMBURG
The port of Hamburg, one of the busiest ports in Europe (along with Rotterdam and Antwerp), initiated a strategic programme in 2011 to evolve into a ‘smart port’ to optimise capacity and maximise efficiency. It did this through the adoption of IoT technology in the port ecosystem by installing sensors to monitor the use of physical assets (e.g. trucks, cranes, carriers, roads and warehouses), using GPS and georeferencing to monitor movement of traffic.
The port handles a mix of containers and bulk cargo (dry and liquid), both of which see a continuously steady increase in volume. Containers passing through it are expected to rise to 25 million in 2025, and total cargo handled to 296 million tons in the same year.
Sensors monitoring the use of cranes, carriers, roads and infrastructure (parking lots and warehouse storage rooms) identify recurring underused capacity and allow for making adaptations to optimise utilisation by relocating assets or rerouting goods flows. Smart storage systems with temperature, humidity, ventilation and barometric pressure sensing ability in warehouses or containers can detect the needs of the cargo they contain and adjust these factors to increase product quality and decrease cargo damage. Cameras, opening sensors, and heat detection sensors along with alarm systems prevent theft, and provide solid input for planning security improvements.
The life cycles of port assets and infrastructure are extended, and the likelihood of defects that influence normal port activity is drastically reduced due to smart maintenance systems. Smart maintenance systems track the usage and wear and tear of fixed assets, and can pre-emptively detect damages and malfunctions, saving costs on reparation, replacements and mitigation in case of a breakdown. They also extend the life cycles of port assets and infrastructure and reduce the likelihood of defects that would disturb the normal flow of activity in the port.
Smart energy management is also a priority in moving towards a greener port, with Hamburg port accounting for over 40% of Hamburg city’s total energy consumption. As part of this plan, certain infrastructure is equipped with smart meters that can monitor and control energy use by adjusting factors like temperature.
In other news, the port has also introduced the app Port Live (AR) for visitors to access real-time data on ships and terminals. Information on all terminals in the Port of Hamburg and the Metropolitan Region can be found there as well as liner services between Hamburg and ports worldwide. Around 1,000 other ports are connected with the Port of Hamburg. In addition to container cargo, general cargo as well as roll-on/roll-off (RoRo) or heavy lift connections are also offered on the app.
ANTWERP
Blockchain technology has the potential to digitalise supply chains, eliminate record-keeping efforts, promote paperless transactions, and streamline supply chains by enabling real-time communication. In 2017, the port of Antwerp announced a pilot project for more efficient and secure container handling leveraging blockchain technology in collaboration with NxtPort, an open data platform in which local application developers can develop their logistic solutions.
NxtPort also provides access to logistics applications and application programming interfaces (APIs) for specific communities within the connected ports. An API is a toolset that programmers can use to create new software for the platform. By sharing data transparently and setting up open global communities, international supply chains can be significantly optimised.
NxtPort recently announced it is partnering with Vopak Ventures in a joint venture led by NxtPort’s Geert De Wilde and Mark Noordhowk Hegt.
“The partnership with Vopak Ventures offers NxtPort an unprecedented opportunity to expand its activities in different locations. In doing so, we are actively contributing to the digital interconnection of maritime clusters across the whole world in a spirit of openness and cooperation,” says De Wilde.
“We are convinced that digitalisation is a critical success factor for the ports of the future. We also know that digital platforms can only be truly successful if they are independent in their role. This means platforms should be open to all logistical players, including those who are each other’s competitor,” adds Leo Brand, chief information officer, Vopak.
Drones are quickly becoming a regular tool in the ports and logistics industry. Ports are using drones in their routine monitoring to improve safety, reduce costs and enhance process efficiency. Around the world, from the Netherlands to Vietnam, ports are using airobotics drones for controlling aerial cargo transport, monitoring ships, cleaning the local environment and tracking the construction of ports.
Earlier this year, the Port of Antwerp- Bruges and its partners DroneMatrix, SkeyDrone and Proximus were given the green light to launch their drone-in-a-box network D-Hive. This means operational authorisation was given for beyond visual line of sight (BVLOS) automated drone flights to take place on a daily basis in the Antwerp port area, a first in the world.
Following the announcement, representatives from European and national regulatory authorities related to drone aviation (including the likes of Eurocontrol, FPS Mobility and Transport, and Skeyes) witnessed the first authorised flight of a BVLOS drone near the Kieldrecht lock, operated from a command and control centre located in the centre of the port.
The operational authorisation is built around a BVLOS framework built by SkeyDrone and approved by the Belgian Civil Aviation Authority and the European Union Aviation Safety Agency as a legitimate and safe framework for BVLOS flights.
HIGH-BAY STORAGE
HBS systems are automated container handling systems that stack containers up to 11 floors high, delivering more than three times the capacity of a conventional yard with enhanced performance including significant gains in handling speed, energy efficiency, safety and reduced operating costs.
DP World in Dubai recently started its pilot phase of BoxBay – an HBS system, in collaboration with industrial engineering specialists SMS Group in Germany – to reduce by at least 70% the land area needed to support terminal operations, and increase yearly yard throughput per hectare by more than 300% in comparison with a rubber-tyred gantry crane (RTG) container yard.
Originally created to handle heavy metal coils, the storage system was refined for port logistics after SMS Group proved the technology in the metals industry. DP World and SMS Group built a pilot facility at Jebel Ali’s Terminal 4 in January 2021. By the end of June 2022, 190,000 container movements had been carried out under realistic operating conditions to verify the system’s market maturity.
DP World announced the first commercial use of BoxBay at South Korea’s Pusan container terminal and more recently signed a contract with Pusan Newport Corporation (PNC). PNC already operates one of the highest-performing container terminals in Asia, and the addition of BoxBay’s technology will allow PNC to boost its efficiency even further.
“This is where the future of trade begins. We have taken a technology that has proven its effectiveness in the metals industry in Germany and further transformed it to create BoxBay, an innovative container storage system to enhance global trade,” says Sultan Ahmed Bin Sulayem, CEO, DP World. “Our pilot scheme in Jebel Ali (Dubai) has already shown the advantages of a fully automated, sustainably powered high-bay storage system. I’m proud that DP World has led this innovation that will now be adopted in Pusan. The technology reflects our continuous efforts to embrace technologies that enhance the flow of trade and further enhances Dubai’s position as a global leader in the ports and logistics industry.”
BoxBay will be integrated with the existing automated rail-mounted gantry/ truck operations as a retrofit on an existing empty storage area. The system provides direct access to each container at any time, eliminating 350,000 unproductive moves per year. This will improve overall truck servicing time by 20%, enhancing PNC’s service delivery to its customers.
Tiemen Meester, COO Ports & Terminals, DP World, says: “With the introduction of the BoxBay high-bay storage system, we will be able to better serve our customers while keeping our people safe and cutting carbon emissions from the environment.”
SINGAPORE
Data and analytics applications are allowing supply chains to adopt a proactive rather than a reactive response to supply chain risks. Singapore’s Maritime and Port Authority (MPA) has established a dataenabled traffic prediction tool to forecast vessel arrival times and estimate potential traffic congestion using predictive analytics.
In 2020, the MPA and tech firm IBM began rolling out an analytics and data scheme aimed at improving maritime and port operations and completed the pilot trial of three modules under the MPA-IBM Safer (Sense-making Analytics For maritime Event Recognition) project, to support Singapore’s growth in vessel traffic.
Altogether, there are seven modules under Project Safer, which offers new capabilities for automating and increasing the accuracy of critical tasks that previously relied on human observation, reporting, very high frequency (VHF) communication, and data entry. The seven modules include: automated movement detection, infringement analytics, pilot boarding detection, bunkering analytics, prohibited area analytics, vessel traffic arrival prediction, and utilisation detection and prediction.
“We will continue to develop our digital strategies through the use of data analytics and machine learning technologies to optimise our port operations and enforcement to meet existing as well as future demands in the areas of next-generation port enforcement and monitoring of vessel movements,” says Andrew Tan, CEO, MPA.
Robert Morris, VP, Global Labs, IBM Research, adds: “AI is transforming every industry and the marine domain is no exception. The Safer solution is an example of how IBM’s AI research for business is supplementing and increasing human capacity by making our waterways and sea lanes safer and more efficient.”
Tuas Port, in Singapore, which opened in September 2022 and is expected to be completed in 2040, will be the world’s largest fully automated terminal, with a handling capacity of 65 million twenty-foot equivalent units (TEUs), almost double the handling volume of 37.3 million TEUs handled in 2022.
To further maritime digitalisation and the development of the future concept of operations, MPA and Infocomm Media Development Authority (IMDA) signed a memorandum of understanding (MOU) in August 2022 to provide full maritime 5G coverage in its anchorages, fairways, terminals and boarding grounds by mid-2025.
A total of 12 maritime 5G base stations will be set up to complement the onshore 5G communication infrastructure. Three of the base stations will be ready this year to support testing and development of new digital applications, such as remotely assisted pilotage advisory, digital bunkering, delivery drones, and telemedicine. The remaining nine base stations will be set up by 2025.
Elsewhere, the port of Hamburg in Germany uses analytics to aggregate various data points (i.e. vessel positions, height and width of bridges, etc.) to optimise internal port operations.
Additionally, smart ports are leveraging other technologies such as AI to enhance predictive insights, and cloud computing, data management and data sharing among various stakeholders. Robotic process automation (RPA) is being leveraged to automate processes across several support functions such as finance, human resources and supply chain management.
Digital exchange platforms are being rapidly deployed by leading ports over the past decade. These platforms digitalise the entire logistics supply chain by creating a marketplace for various sub-segments of the market. In 2020, DP World acquired SeaRates.com, a digital platform that enables customers to transport cargo worldwide at the click of a mouse.
DP World has also created the Digital Freight Alliance, an online association that brings freight forwarders globally onto one platform, giving them access to new tools, routes and services, and enabling them to do more business anytime.
Read the article here: How Ports are Using Technology to Boost Efficiency
Smart city market to reach $300 billion by 2032

Ascent Cities News
The global ‘smart city’ technology market is expected to grow from US$121 billion in annual revenue in 2023 to US$301 billion by 2032, according to a new report from Guidehouse Insights. This represents a compound annual growth rate (CAGR) of 10.7 percent.
Cumulative revenue between 2023 and 2032 is expected to reach just under US$2 trillion.
The research and consulting firm said this growth is driven by the fact that cities are showing a strong commitment to infrastructure investment, digital technologies and increased sustainability, often supported by central government funding.
According to the research: “The smart city is no longer just a visionary idea”.
Eric Woods, research director with Guidehouse Insights, told Cities Today that while the concept of smart cities started out as a techno-centric, vendor-defined idea, it has evolved with cities such as Barcelona, Amsterdam and others demonstrating a more city-led approach.
“The sheer volume of ‘smart city’ projects in cities, the growing capacity of cities to work with advanced data analysis, digital twins etc., plus the general digitalisation of infrastructure such as smart grids and smart water networks means cities are no longer just exploring but actually implementing advanced technology projects,” he said.
“Therefore, they’re dealing on a day-to-day basis with the practicalities that presents, as well as the big questions around privacy, security and governance of these new technologies. Any reasonably large city or ambitious small city has to be engaged with these issues now – hence my feeling that all cities are in this sense smart cities now, presuming one agrees that the smart city is a journey without an endpoint.”
However, the report also finds that many cities still have a “long way to go” to develop sufficient capacity to manage the opportunities and challenges presented by new technologies.
City trends
The pandemic and the climate crisis accelerated technology adoption in cities, the report says.
“These global challenges are amplifying long-standing local issues around the quality of public services, environmental standards and social inequalities,” said Woods. “At the same time technology is transforming how cities work and how they are experienced.”
Trends in cities include innovations in urban design which embed digitalisation and decarbonisation as core principles. Digital transformation is accelerating as local governments tackle social, environmental and economic issues, and cities are showing greater maturity in their use of data analytics and in addressing data privacy and cybersecurity concerns, the report finds.
Cities are also investing in resilient and sustainable infrastructure, using IoT and advanced data capabilities to design, monitor, control and maintain urban infrastructure.
In addition, the report highlights that a focus on equitable outcomes for all communities is becoming a key pillar of many city programmes.
All sectors of the smart city market present significant opportunity, according to Guidehouse.
The digital transformation of city operations and services means that government is the largest sector of the market. Smart mobility is also expanding as advanced solutions for traffic management are deployed alongside low-carbon transport infrastructure and services.
The fastest growing sector is expected to be smart water systems as the impact of climate change forces governments and utilities to address underlying infrastructure issues.
Funding
New funding models are expected to help accelerate investment further.
“New partnerships are being established across the public, technology and finance sectors to support smart city investments and overcome the funding gap that has long been a significant drag on the market,” according to the report.
Funding trends highlighted include significant direct city funding, city-backed low-carbon finance schemes, revenue-sharing models, public-private partnerships, and community-backed developments.
Guidehouse notes a growing interest from private equity investors in smart city opportunities. Cities are also taking a ‘platform’ approach to addressing systemic, multisector challenges, as well as exploring ways to generate more value from the assets and infrastructure that they own.
Read the article here: Smart city market to reach $300 billion by 2032