Tag: Internet of Things

In the 21st century, people are searching for an abode that will provide better public infrastructure and easily accessible resources that will make their lives easier.

Traditional cities often grapple with major issues of inadequate infrastructure, huge population growth, inefficient resource and waste management, and traffic congestion, aiming at a lack of urban development.

However, the introduction of smart cities represents a pivotal shift towards embracing new-age technologies to solve some of the most pressing challenges of urban living and make cities have better infrastructure, public services, and sustainable growth.

The concept of smart cities emerged as a transformative trend in the fields of technology and architecture that will reshape the urban landscape and revolutionize the way people interact with our environment. By integrating technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data analytics, architects and IT professionals can set new standards for service delivery, sustainability, and livability.

In 2024, IT professionals and architects will be at the forefront of this environmental sustainability movement, leveraging technology and innovative design principles to develop cities that are technologically advanced, sustainable, and efficient to cater to the different needs of each resident.

In today’s exclusive AITech Park article, we will explore the emerging trend of smart cities and how IT professionals and architects can play a pivotal role in the development of these cities.

Towards Zero Waste

In 2024, architects will be more focused on eliminating the challenges of waste management to create resilient and sustainable cities by implementing smart waste management systems that have sensor-driven bins and smart waste collection vehicles that will optimize waste collection routes and reduce fuel consumption. Advanced waste-to-energy technologies are used to convert organic waste into renewable energy sources, minimizing landfill usage and mitigating environmental impacts.

Innovative Solutions for Water Sustainability

According to a report by the U.N. World Water Development Report 2023, water scarcity is one of the biggest crises that the world is facing, as it was revealed that 2 billion people (26% of the population) lack safe drinking water, while 3.6 billion (46%) lack access to safely managed sanitation.

Therefore, to curb these issues and strategize for water conservation and management, architects and IT professionals can implement IoT-enabled water meters to monitor water usage in real-time, enabling residents to optimize water consumption and identify leakages.

Bottom Line

As the world’s population continues to grow at an unprecedented rate, the essentiality of smart cities becomes more pronounced, as they provide a blueprint to address the challenges of urbanization and strive to reach the different goals related to improving urban lifestyle, achieving economic growth, and environmental sustainability.

To Know More, Read Full Article @ https://ai-techpark.com/the-emergence-of-smart-cities-in-2024/ 

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We are well aware that in recent times, climate change has impacted the economic, social, and environmental systems across the planet, and unfortunately, its consequences are expected to continue in the future.

It has been witnessed that cities in the United States, Philippines, China, and Madagascar are facing warmer, drier, and wetter climates, resulting in natural hazards; these extreme weather events have affected 145,000 human fatalities across cities, as they invite seasonal diseases, drought, famine, and even death.

Therefore, with these adversities in mind, meteorological departments and governments across the country have started taking advantage of technologies such as artificial intelligence (AI) and machine learning (ML) that have the potential to protect the environment.

Air Quality Monitoring

The precise real-time air quality assessments are based on data analysis from smart sensors, enabling scientists and engineers to take prompt action in areas with high pollution levels. The ML models also come in handy for forecasting potential pollution levels based on various factors and, thus, taking proactive actions to mitigate air pollution.

Read about The Convergence of Artificial Intelligence and Sustainability in the IT Industry

Industry Leaders’ Perspectives on AI and Environment Sustainability

When it comes to introducing AI-driven sustainability initiatives, leaders should ensure that all stakeholders are on board with the idea and must collaborate and think about this issue as a collective thing.

Having a long-term vision is essential, as companies sometimes focus on immediate benefits that will help increase profit in the next quarter. But when companies start incorporating environmental, societal, and financial variables, it will help C-suites get a clear picture and give thought to the long-term implementation of sustainability and technology.

For any environmental and sustainability initiative, the C-suites must have a strategic vision with robust leadership and stakeholders’ commitment to developing a more resistant and structured plan that will help in creating sustainable business with improved outcomes for the customer and society.

Read about The Role of CTOs in Integrating the Environmental, Social, and Governance Journey

The role of AI in environmental sustainability will have a wide role in the future, as it will not only involve handling and analyzing more complex datasets but also enabling environmental prediction.

Similarly, the integration of smart technology with the Internet of Things (IoT) will allow organizations to collect data and focus on enhancing environmental monitoring and resource management. To accelerate the development and adoption of AI-based solutions for environmental challenges, enterprises need to collaborate with every government, business, academia, and NGO at both local and global levels, as their expertise and knowledge will help in fostering innovation and investing smartly in tailored environmental applications.

Ultimately, the implementation of AI in addressing environmental challenges is just one part of the effort to transition to a more sustainable society.

 To Know More, Read Full Article @ https://ai-techpark.com/digital-leadership-for-eco-sustainability/ 

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Spatial Computing Future of Tech

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In the digital era, spatial computing (SC) is a rapidly evolving field as we have started to interact with humans and machines in three-dimensional spaces. Technologies under this umbrella, including augmented reality (AR) and virtual reality (VR), can redefine the enterprise’s interaction with these gadgets and unlock a new realm of possibilities and opportunities.

Today, spatial computing is no longer a vision but a reality for finding the correct applications in numerous fields, especially in the business world.

In this AI Tech Park article, we will take a closer look at how spatial computing is the new solution for IT professionals who are looking to improve their data analysis and process optimization.

The Technology Behind Spatial Computing

Spatial computing has emerged as an interactive technology that can merge the digital and physical worlds, allowing users to interact with computers in an immersive and seamless manner.

With the help of a wide range of technologies, such as artificial intelligence (AI), camera sensors, computer vision, the Internet of Things (IoT), AR, VR, and mixed reality (MR), IT professionals can develop new technologies, a seamless business process, and better data analysis to optimize the process.

This technology employs numerous devices and hardware components to provide an interactive customer experience. A few well-known devices in the business world are smart glasses such as Apple Vision Pro and Meta Quest 3, which interface virtual objects with the real world.

Another interactive spatial computing technology is the depth camera by Microsoft Azure Kinect and the Intel RealSense D400 series, which captures the depth of the physical world and creates virtual objects that will fit into the real world.

Spatial computing leverages numerous technologies, such as machine learning (ML), advanced sensors, and computer vision, to understand and interact with the physical world.

Computer vision, also a subset of AI, enables computers to process and understand visual information by tracking users’ movements and understanding the environment. This allows IT professionals to create a digital representation of the physical world, which can be further used to overlay digital content onto the real world.

ML is another key technology in spatial computing that IT professionals use to train computers to understand and predict user behavior. For instance, if the user reaches to touch a digital object, the computer needs to understand this information and take action to respond accordingly and further predict the user’s future actions.

Sensors are also an essential component of spatial technology as they provide the data that the computer needs in the physical world, which includes the user’s behavior, environment, and interaction with digital content.

Spatial computing is indeed considered the future of technology, as it has the potential to revolutionize any industry by enabling human interaction with machines and the environment. This innovative blend of the virtual and physical worlds provides immersive experiences and boosts productivity. At its core, spatial computing integrates MR, VR, and AR to bridge the gap between the real world and the digital realm, which helps shape the future of technology.

To Know More, Read Full Article @ https://ai-techpark.com/spatial-computing-in-business/ 

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Eric, could you please introduce yourself and elaborate on your role as president at ProserveIT?

Hello, I’m Eric Sugar, President at ProServeIT, my focus is on helping clients set their strategic direction with regards to technology that enables their business.  Eric’s passion is teaching how technology can be leveraged by businesses to enable growth and added value.  As President at ProServeIT  I support our clients and team in creatively deploying and using technology.

Eric holds a Bachelor of Arts (Economics and Math) from the University of Toronto.

I’m an avid rower, cyclist and hockey player who can put a golf ball in the woods better than most.

Can you provide a concise overview of Zero Trust Architecture and its significance in modern cybersecurity?

Zero Trust Architecture (ZTA) is a security model that assumes that any user, system, or service operating within or outside of an organization’s network perimeter is untrustworthy until proven otherwise. It is based on the principle of “never trust, always verify” and requires strict identity verification for every person and device trying to access resources on a private network, regardless of their location. The principles behind a Zero Trust network include Identity and Access Management (IAM), Data Protection, and Network Segmentation

In the context of ZTA, how does the concept of “never trust, always verify” apply to both internal and external network environments? What are the key implications of this approach for organisations?

In the context of ZTA, the concept of “never trust, always verify” applies to both internal and external network environments. This approach has key implications for organizations, as it requires them to implement strict identity verification and access controls for every person and device trying to access their resources, regardless of their location. This helps organizations mitigate cybersecurity risks and protect sensitive data effectively

What are the key benefits of implementing Zero Trust Architecture, and how does it help organisations mitigate cybersecurity risks and protect sensitive data effectively?

The benefits of implementing ZTA include reducing the attack surface and preventing lateral movement by attackers within the network, as each resource is isolated and protected by granular policies and controls. It also enhances the visibility and monitoring of network activity and behavior, as each request and transaction is logged and analyzed for anomalies and threats.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-eric-sugar-president-at-proserveit/

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The Internet of Things (IoT) represents one of the most significant technological evolutions of our time. With the proliferation of connected devices, from home appliances to complex industrial machinery, IoT has seamlessly integrated into the fabric of our daily lives. This integration has not come without its challenges, particularly in terms of security.

As IoT devices become more ubiquitous, they also grow in complexity. The sensors, connected medical devices, and critical infrastructure systems we rely upon every day are now composed of countless components sourced from an increasing number of providers. This complexity is not just a matter of physical parts but extends deeply into the software that powers these devices.

Amidst this complexity lies a significant concern: data security. Many IoT devices manage data within corporate control environments, but this data is often sensitive and proprietary. The marketplace, unfortunately, is rife with misinformation and misunderstandings, leading to valid concerns about unauthorized access, data breaches, and privacy violations. These concerns are well-founded, as the potential risks include vulnerabilities in critical medical devices, connected vehicles, and key infrastructure systems, which could have significant impacts if exploited.

The Intricacies of IoT Device Software Supply Chains

Embedded devices, which form a substantial part of the IoT ecosystem, consist of intricate layers of third-party software. Unlike cloud or web software, these devices often include proprietary software from various hardware components, making the supply chain more complex and opaque. This complexity is compounded by the fact that these hardware components often come with less available public information than, for example, open-source projects on GitHub. This scenario demands a high level of software transparency, especially given the slower and less frequent update cycles in realms requiring device recertification.

The Critical Need for Software Transparency in IoT

Software transparency in IoT is not merely a best practice; it is a necessity. The complexity and opacity of embedded device supply chains make it nearly impossible to effectively assess and manage security risks without a clear understanding of the software components within these devices. This transparency becomes crucial in light of recent regulatory pushes focusing on IoT and embedded system security, such as the European Union Cyber Resilience Act (EU CRA) and the NIST Cyber Trust Mark.

The future of IoT security is a collaborative effort, one that requires manufacturers, software developers, and security experts to work together. It involves not only implementing robust security protocols but also embracing transparency at every stage of the development and deployment process. As we continue to invest in standards like SBOMs and VEX, and collaborate with industry leaders, we are paving the way for a future where IoT devices are not just functionally robust but also secure and transparent.

To Know More, Read Full Article @ https://ai-techpark.com/enhancing-iot-security-through-software-transparency/

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In today’s digital era, the merge of artificial intelligence (AI) and the Internet of Things (IoT) has kicked off a tech revolution that tends to reshape numerous industries across the globe with a vision that this transformation helps businesses enhance efficiency and drives innovations at an unprecedented pace.

For a better understanding, IoT is all about an extensive network of connected devices with an embedded sensor that collects and transfers large-scale data that is processed according to the behavior and patterns of the user to make the correct decision at the right time.

On the other hand, artificial intelligence (AI) is a technology that imitates human intelligence and behavior in computer systems, further enhanced by learning and experimenting, to develop new behaviors and skills.

These technologies, together, can solve real-world problems and create new products for businesses to enhance the customer-digital experience. This article explores the opportunities and approaches of AI and IoT that will revolutionize market paradigms.

Five Skills to Stay Relevant and Competitive in the Age of IoT and AI

The scope of implementation and importance of IoT and AI determine the need for qualified IT professionals; however, the demand for experts in these technologies requires certain technical and soft skills.

Below, we have reviewed some wanted skills that are required in an IT professional to succeed in IoT and how they can boost their career profile:

Artificial Intelligence and Machine Learning

AI and machine learning (ML) have become key technologies that have reshaped the IT field. To excel, IT engineers and IoT developers need to have a good understanding of ML and AI technologies, as these technologies are the base of developing tools and frameworks that are essential to developing IoT devices and AI applications that are further used in various application areas, like automotive, manufacturing, finance, and healthcare. Learning and understanding where and how to implement ML algorithms with the help of data sensors are used to develop smarter appliances.

The skill of big data management will be useful for predictive analytics, which is based on identifying data patterns. The IT engineers and IoT developers should also have knowledge of popular ML libraries such as Kera and Tensorflow and the ability to program in languages such as R, Python, and C++.

IoT Systems and Networking

The Internet of Things (IoT) is a blooming field in the IT industry that involves connecting physical devices (motion sensors, smart glasses, VR headsets, smart devices, trackers, drones, etc.) to the Internet. To be a master, IT engineers, and IoT developers need to have a better understanding of the IoT concept and technologies to develop robust and seamless connected devices that require a unique user interface (UI). The knowledge about IoT includes networking protocols such as Bluetooth, Zigbee, and Wi-Fi; engineers and developers should also be familiar with IoT platforms such as AWS IoT and Microsoft Azure. IT professionals who have good UI skills in visual design, analytics, wireframing, and prototyping excel at developing satisfactory devices.

To Know More, Read Full Article @ https://ai-techpark.com/exploring-the-intersection-of-ai-and-iot/

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AI has impacted industries from the medical to education, and the legal world is no different. But as I take a closer look at the impact of AI in my part of the legal world, I see it as useful but limited. Our firm uses some AI products to generate predictions regarding the examination of patent applications, such as what classification of invention or technology type the application will receive at the USPTO.  This is a useful way to check that we are communicating important aspects of inventions effectively and helps us predict how the examination is likely to proceed.  It is not perfectly accurate, but is accurate enough to be helpful and requires a lot less effort than the more manual approach we used before.

We have also explored the ability of AI to produce initial drafts of legal documents.  While it is true that working off an existing draft can often be more efficient than writing it from scratch, a pretty crucial step in writing a legal document is to think about the structure of the document and use that thinking to organize the writing.  Language-based AI is especially challenging to simulate, and the industry might not be there yet. Currently, AI does not help very much with certain kinds of legal writing.

As with every other advance in automation, it is not clear yet what impact this will have on employment and careers.  I’d say a big concern is that AI could be used to produce superficially passable legal work at discount prices.  Such output might appear, particularly to customers who are not well-versed in the law, to perform its function adequately, but may have hidden flaws that, absent responsible review by skilled practitioners, might not be discovered until it is too late.  What, for instance, will stop an unscrupulous lawyer from contracting to produce many wills or trust documents, use an AI platform to crank them out with little or no oversight, and pass the result off as his or her work?  In that case, many of the documents’ efficacy would not become apparent for years or decades and could lead to contention or loss long after our enterprising huckster has retired to a remote island.

Much like the AI that runs automated phone systems, AI-produced legal instruments may go through a period in which they adequately address the most common or typical issues, but fail to address, or perhaps miss entirely, the situations that require closer attention.  This is not the sort of thing people should gamble with, and it would be hard to prevent before it was able to do considerable damage.While AI is an exciting and possible time-saving technology there are still limitations on how it can be used, especially in the legal community.

To Know More, Read Full Article @ https://ai-techpark.com/the-impact-of-ai-in-the-legal-world/

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What would be your valuable advice for budding entrepreneurs and industry professionals?

To budding entrepreneurs and industry professionals, I offer this valuable advice: place a profound emphasis on your customers. Cultivate an obsession with understanding them on a deep level. Dive into the intricacies of their challenges, and endeavor to craft solutions that precisely address these issues.

An important lesson to remember is to avoid the common pitfall of creating solutions in search of problems. This sounds funny but it is surprisingly common. Instead, start by identifying genuine problems within the market. Let these authentic needs guide your innovation, ensuring that your efforts are purpose-driven and aligned with real-world demands.

By prioritizing your customers’ needs, adopting a problem-first approach and consistently refining your offerings based on feedback, you can forge a path to success that is both impactful and sustainable.

Could you elaborate on the key strategies or actions you have implemented or plan to implement?

Regarding our key strategies and actions, we’re actively expanding our team in both research and development, as well as in customer-facing roles. This growth is instrumental in enhancing our capabilities and ensuring effective support for our clients.

A pivotal focus is on the introduction of comprehensive end-to-end solutions. These solutions are strategically designed to empower customers to swiftly achieve results using our deviceWISE platform. By streamlining the adoption process, we’re enabling clients to accelerate their journey towards IoT integration and maximize the benefits of our technology.

Furthermore, we’re deeply committed to harnessing the potential of Artificial Intelligence (AI) as a transformative force for industrial productivity. Our investment in AI technology underscores our belief in its capacity to revolutionize operations and enhance efficiency in the industrial landscape. This commitment drives us to develop and deliver unique AI-driven products that stand at the forefront of innovation.

A recent milestone includes the launch of our “connected machine offer.” This pioneering solution empowers machine builders with a comprehensive turnkey package for delivering connected machines. This offering opens doors for machines-as-a-service models, remote support capabilities and an array of additional functionalities, thereby enabling our clients to stay ahead in the competitive market.

In essence, our strategies encompass team expansion, holistic end-to-end solutions, AI integration and innovative product launches.

Please share your source of inspiration for exploring various facets of technology.

My source of inspiration for exploring various facets of technology stems from a profound curiosity about the boundless possibilities that technology offers to reshape and elevate our world. The rapid evolution of technology has the potential to revolutionize industries, enhance human experiences, and solve complex challenges.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-ricardo-buranello/

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Soracom Relay allows customers to use existing RTSP/RTP-compatible cameras for audio and video data transmission. Can you discuss how this feature enhances IoT deployments, especially in terms of computer vision and video analytics?

There are many cameras available today that claim to be “connected to the cloud,” but most of them are tightly integrated into their vendors’ vertical cloud applications and require wholesale replacement of existing hardware to take advantage of these capabilities.

RTSP is a standard protocol already widely used in various IP camera products, making them easy to integrate within a tech stack but typically only in single building on-site CCTV deployments. The ability to securely connect RTSP cameras securely to the cloud opens the door to advanced monitoring and analysis capabilities without needing to change your entire set of cameras to shift to cloud-based video processing.

Soracom Relay enables a complete new set of potential opportunities to create value from existing view/record/replay cameras over to new architectures that connect those same video streams to cloud-based processing. Single-site installations typically use disk-based recorders that implement RTSP/RTP connections so that video streams can be viewed locally, sometimes with additional proprietary cloud features for simple remote-view functionality.

With Relay connecting cameras to Amazon Kinesis Video Streams, we encapsulate the overhead of implementing the RSTP/RTP protocol into the camera’s Soracom connection and let the customer shift to an AWS cloud compute architecture to process and create valuable business-centric insights.

Security is a significant concern when dealing with data transmission, especially in IoT. How does Soracom ensure the security of audio and video data transmitted through Soracom Relay?

The security and privacy of customer data is the highest priority in the Soracom platform. We have multiple layers of security implemented in our platform and also offer services for our customers to build a secure infrastructure that supports the needs of  their particular IoT fleet.

Soracom Relay is an ideal match for the secure architecture at the heart of the Soracom IoT Platform. When we saw this use case we immediately knew that we could mitigate risks and concerns associated with RTSP/RTP connected cameras while opening up new revenue possibilities for customers  by linking cameras that traditionally only have a LAN connection directly to AWS’s video streaming services.

RTP video streams are not encrypted and can be dismissed as a source of IoT data despite the very large numbers of devices deployed in LAN environments. Similarly, the RTSP servers these cameras use have often been implemented with poor administration account credentials.

When IoT devices use Soracom connectivity they benefit from a fully encrypted link for all traffic between the devices and our connectivity platform. In the case of RTSP/RTP cameras, that means that the account login process is completely locked down to the Soracom account and moved out of reach from bad actors. The valuable video streams become tamper free, ensuring both that the stream is trustable and at the same time unavailable for others to access.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-kenta-yasukawa/ 

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Kenta, it would be greatly appreciated if you could provide us with insights into your professional trajectory and background that culminated in your position as the Co-Founder and Chief Technology Officer at Soracom.

In 2010, I was a researcher at Ericsson working on Connected Home, Connected Car and similar early-days IoT projects. I was drawing diagrams with fluffy clouds in the middle saying all the intelligent decisions would be made and things would get smart and collaborate with each other once they are connected to this new cloud. But back then the only available technologies for that purpose were rule-based engines, inference based on ontology, which did not have enough potential to be the intelligence to achieve a true Internet of Things vision.  

I felt there was potential in cloud technologies, but I didn’t fully know yet what the cloud could offer. So, I joined AWS as a solutions architect to find out. I worked with various customers to architect systems in the cloud and apply AWS best practices. That made me think, that by applying cloud technologies and best practices, any system can be made more reliable, scalable and available. It should be possible to build telecom infrastructure on top of cloud and it should enable a highly scalable connectivity platform.

I shared the idea with Ken Tamagawa, my CEO and Cofounder. He believed in the idea and we started to seek a way to execute and along the way met Dan Funato, my COO and Cofounder. We founded Soracom and I led the reinvention of telecom infrastructure on top of AWS cloud.

Leveraging the cloud-native telecom infrastructure, we have started a smart connectivity platform that can offload customers’ undifferentiated common heavy liftings in their IoT journeys and accelerate their time to market so we can achieve a truly connected world together.

The recent announcement  introduces Soracom’s new services that leverage Generative AI (GenAI) for IoT connectivity. Could you explain how Generative AI fits into the IoT ecosystem and what advantages it brings to IoT deployments?

GenAI has tremendous potential in IoT deployments. Besides adding natural language interfaces to IoT applications, GenAI applications using a Large Language Model (LLM) in particular has potential to be used for data analytics and decision making.

For example, we have tested ChatGPT to analyze time series data received from IoT sensors and trackers and confirmed it can provide insight about data as if you have a data scientist dedicated to you. By providing data and asking questions such as “What does this data mean?” and “What trend or outliers do you see in the data?”, an AI can answer in a natural language that you speak. We realized the potential and integrated GenAI to our time series data storage service, Soracom Harvest. The feature is called Soracom Harvest Intelligence and available to anyone as a public beta. An AI based data analytics is just one-click away. As in the example, GenAI can be a glue between people and data, and help them understand data. This can help people look deeper into a particular time period, detect an event and take action. If it has to be done by humans, it’d be cost prohibitive and not be scalable, but with GenAI, things can be automated and scalable.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-kenta-yasukawa/ 

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