SCS Tech India

Tag: #future

  • How Artificial Intelligence in Disaster Management Software Is Saving Lives?

    How Artificial Intelligence in Disaster Management Software Is Saving Lives?

    What if we could turn chaos into clarity during disasters? Since 1990, floods have caused $50 billion in damages and impacted millions in India. Knowing about a disaster before it strikes could give communities time to prepare and respond effectively. That’s where Artificial Intelligence is turning this possibility into a reality. From issuing early warnings for hurricanes to guiding rescue operations during floods, AI is revolutionizing disaster management.

    In this blog, let’s explore how AI in disaster management software transforms predictions, responses, and recovery efforts to save lives.

    How Artificial Intelligence in Disaster Management Software Is Saving Lives?

    AI in disaster management software enhancing life-saving efforts
    AI in disaster management software enhancing life-saving efforts

    Artificial Intelligence (AI) revolutionizes disaster management by permitting more accurate predictions, speedy responses, and efficient recoveries. AI enables advanced algorithms, and real-time data is fed to disaster management software to soften the impact of natural and artificial disasters.

    1. Disaster forecasting through AI

    AI has come as one of the significant transformations that AI has undergone to improve disaster management systems. Through analyzing vast amounts of data and finding patterns, the chances of predicting and, thus, preparing for any disaster are primarily enhanced.

    Data Collection by AI

    AI collects data from different sources, and this includes:

    • Weather data, which can track storms, hurricanes, and cyclones
    • A seismic activity record is used to identify the initial seismic signals of an earthquake.
    • Historical data to identify trends of disaster recurrences in certain areas.

    This integrated analysis helps accurately predict when and where disasters might occur. For instance, AI can scan satellite images to monitor ocean temperatures and predict the cyclone’s formation.

    Risk Assessment

    AI evaluates the potential damage caused by disasters by assessing:

    • Population density: Determining areas where the disaster would impact the most people.
    • Infrastructure weaknesses: This highlights the weak points such as bridges, dams, or flood-prone neighborhoods.
    • Environmental factors: These are natural features such as forests or water bodies that may affect the intensity of disasters.

    This helps governments and agencies to plan better and provide more resources to high-risk areas.

    Early Warning Systems

    Machine learning models are trained on historical data, predicting disaster patterns and providing early warnings. These warnings:

    • Give communities enough time to evacuate or prepare.
    • Allowing authorities to preposition emergency supplies, including food, water, and medical kits.

    For instance, AI-based flood prediction systems use rainfall, river levels, and soil saturation data to predict floods days ahead of time. This helps save lives and reduce property damage.

    2. Real-Time Monitoring of Disasters

    When disasters occur, the difference between life and death can be a matter of having accurate information in real-time. AI shines in monitoring unfolding events and guiding responders in real-time.

    Live Data Analysis

    AI processes live feeds from sources like:

    • Drones: Taking aerial views of disaster-stricken areas to identify damage and locate stranded individuals.
    • Satellites: Offering large-scale images to track the spread of disasters such as wildfires or floods.
    • IoT Sensors: Track water levels, air quality, and structural strength in disaster areas.

    Processing this information in real-time, AI provides actionable insight to the emergency teams to determine the nature of the situation and plan for it.

    Anomaly Detection

    AI constantly monitors the critical parameters and detects anomalies that might lead to further deterioration. Such anomalies could be:

    • Rising water levels above flood safety levels.
    • Rapidly rising temperatures in a forested area potentially indicate wildfires.
    • Gas leaks in earthquake-damaged industrial areas.

    The detection alerts the responders, who can take prompt action before further damage is done.

    Situational Awareness

    AI-based GIS creates comprehensive maps that outline the following:

    • Storm-inundated areas
    • Affected areas due to wildfires and landslides
    • Safe zones for evacuation or relief operations.

    These maps enable better resource allocation so that aid would first reach the most vulnerable areas. For instance, AI-enhanced drones can identify stranded victims and direct rescue boats to that area during floods.

    3. Response Automation

    With AI able to automate critical tasks in the response function, emergency operations become swift and efficient with fewer chances of delay and error.

    Optimized Dispatch

    AI orders distress calls according to priority and determines their urgency and location. It may be demonstrated as below:

    • Calls from severely affected areas will be prioritized over other less urgent requests.
    • AI systems scan traffic conditions to route emergency vehicles to destinations as quickly as possible.

    This ensures that ambulances, fire trucks, and rescue teams reach the victims in need much faster, even in the most chaotic environment.

    Traffic Management

    In evacuations, traffic congestion is one of the biggest threats to lives. AI systems scan traffic patterns in real-time and recommend:

    • Alternative routes to avoid gridlocks.
    • Safe evacuation routes for big crowds.

    AI will give the safest route to avoid danger zones during a wildfire, ensuring civilians and emergency responders stay safe.

    The Future of AI in Disaster Management Software

    The use of AI in disaster management is getting stronger with every passing day. Here’s what might be in store:

    • Improved Predictive Models: AI will predict disasters even more accurately with better algorithms and data.
    • Real-Time Adaptation: AI systems would change responses dynamically in response to real-time updates to be efficient.
    • Collaboration Tools: Future AI systems enable easy data exchange among government agencies, NGOs, and AI technology companies.
    • Integration with IoT: AI-based incident management systems work with IoT devices like smart sensors to monitor critical parameters like water level and air quality in real-time.

    For instance, in flood-prone areas, AI, in conjunction with IoT sensors, can facilitate real-time updates that inform people in advance to evacuate in time.

    Conclusion

    Artificial Intelligence changes the face of disaster management software by saving lives through accurate predictions, swift reactions, and intelligent resource allocation. AI ensures people obtain information immediately by sending early warnings and real-time updates.

    In countries with frequent natural disasters, we must use AI-driven tools to reduce damage and protect communities. These tools do not only help us prepare but also respond better during emergencies. Companies like SCS Tech drive these innovations to build safer and more resilient communities and tap into the power of technology to save lives.

     

  • IoT the next big thing or already is? In perspective of Industry 4.O

    IoT the next big thing or already is? In perspective of Industry 4.O

    One of the key technology foundations of Industry 4.0 is the Internet of Things. The ability of machines to independently communicate with one another allows them to solve issues that would previously require human intervention.

    It is anticipated that the use of industrial IoT for predictive maintenance and a rise in the number of data centres would present sizable market expansion prospects. Additionally, the government’s promotion of industrial automation and the demand for high productivity & efficiency are the main factors propelling the growth of this market.

    The majority of firms have acquired a high degree of IoT maturity, and through 2024, enterprises from all industry sectors intend to invest an average of $2.8 million in IoT. Businesses anticipate spending 10% of their IT budgets on IoT initiatives during the next three years, up from the average 7% of an organization’s IT expenditure between 2017 and 2020.

    However, there are observable differences in the expected IoT investment levels across various business sectors. Over the next three years, oil and gas companies plan to invest the most in IoT ($3.2 million on average), followed by electrical utilities ($3.1 million), transportation and logistics ($3 million), mining operators ($2.7 million), and finally, agricultural industries ($2 million).

    Latest research conducted by Inmarsat Enterprise reveals IoT is now the primary Industry 4.0 technology in which companies are investing over the next three years. IoT is becoming a company investment priority, and businesses expect it to save them an increasing amount of money in the next years. This shows how well-established an industry IoT has become globally. Despite the fact that IoT adoption is already accelerating quickly, Covid-19 has stressed the value of Industry 4.0 technologies like IoT for maintaining business continuity. Companies who create digital twins of their supply chains and share data are reaping the rewards as the world’s manufacturing and supply chains become more integrated and digitalized.

    In the Indian Landscape –

    India is a hive of IoT provider potential, and the nation’s IoT ecosystem is anticipated to keep expanding to generate entirely new sources of income. To stay ahead of the curve and meet the growing demand for IoT solutions, vendors should collaborate with other members of the value ecosystem to take advantage of cutting-edge technologies like Big Data analytics, AI and machine learning, new connectivity protocols, and blockchain.

    Private long-term evolution for improved security: Indian tech organizations should concentrate on promoting the advantages of P-LTE to raise awareness and approach businesses with solutions tailored to specific verticals.

    Real-time operational intelligence for improved risk and compliance management: To deliver brand-neutral IoT solutions, suppliers must create hardware and software that is interoperable and pre-integrated.

    Visual matrix solutions for better CX: IoT providers should collaborate with OEMs of visual surveillance systems to offer in-store, real-time consumer analytics in addition to core security solutions.

    IoT as a Service for Smart Diagnostic Laboratories: By starting with open source IoT solutions, expenses can be significantly cut, which will promote the use of smart laboratories as a service.

    By using our global knowledge and top-class IoT solutions, we can assist your business with our digital transformation and automation services. If you’re looking for understanding partners which can deliver results, contact us now.

  • All you should know about Smart Spaces and its future impact

    All you should know about Smart Spaces and its future impact

    What are Smart Spaces?   

    Smart spaces are facilities or public areas outfitted with sensors to collect data that can be used to generate insights about its environmental conditions, the services it provides, and how occupants interact with their environment. These smart spaces insights can be captured in real-time and from historical data, and then used in improving safety, operations, and the experiences of the people using the space.

    When enabled by technologies like IoT and 5G wireless, which are now capable of monitoring municipal operations using real-time data to bring a level of service to citizens with uncharacteristic efficiency, smart space paradigms are also shared across regions, extending over cities.

    Use of Technology in creating smart spaces

    We can classify smart enabling technologies according to their purpose using this multi-layered approach to smart space environments (virtual, physical, and human levels).

    Virtual Computing Environment — This layer gives smart devices access to private network services or the internet, which enables them to connect to other components of the distributed systems that run the smart space environment.

    Physical Environment – The most diverse layer of smart spaces is the physical environment layer, which contains the embedded sensors, microprocessors, tracking tags, and other tangible components of the smart space.

    Human Environment — This layer is made up of gadgets that people use in conjunction with their environment, such as pacemakers, wearable smart devices, and smartphones. This means that humans can develop smart space environments using cell towers, cell networks, and smartphones to create a virtual, physical, and human environment that can be thought of as a large area smart space, similar to how route-planning apps can be used to create smart spaces.

    Benefits of Smart Spaces

    The deep integration of these technologies into our daily lives demonstrates how successfully they have achieved their general goals of enhancing efficiency, security, and safety.

    Any measurable aspect of efficiency is improved by smart space technology. Smart technology often focuses on lowering overall operational expenses of buildings by avoiding resource and utility waste. Meters for electricity or water may readily be equipped with sensors, making them prime candidates for smart monitoring.

    In places where there are risks of danger or accidents, smart spaces promote safety and risk mitigation. Smart technology, such as the use of intelligent robots in industrial applications, can replace human workers performing dangerous activities. By replacing humans with these robots in numerous tedious and repetitive jobs like moving inventory palettes, productivity has grown.

    Smart environments improve user experience by automating many of our daily “clerical” duties, including checking the lighting, that were previously performed by humans. Using smart space technology is now driven by the desire to enhance the experience of occupants within a space for business purposes. These buildings are becoming more collaborative, informative, and effective thanks to smart office technologies that can connect remote workers, smart conference rooms, scheduling systems, and sensors covering every component of the facility. Several manufacturers advertise a sizable central wall display that serves as a focal point for business activities and shows real-time information. For example, a hospital could use this display to show which doctors are present, which operations are planned, or which rooms are filled.

    Common technologies used in these are:

    • Artificial Intelligence and Machine Learning
    • Computer Vision
    • Speech Recognition
    • Blockchain
    • Cloud computing / Distributed systems
    • Wireless Connectivity
    • Motion and proximity sensors
    • Climate sensors (temperature, humidity, pressure)
    • Accelerometers and gyroscopic sensors
    • Optical and thermal sensors
    • Gas and level sensors
    • RFID tagging
    • Microprocessors
    • Smartphones, tablets, watches
    • Closed-loop insulin delivery systems
    • Ingestible sensors
    • Smart inhalers
    • Smart pacemakers

     

  • A complete guide on Cloud Computing

    A complete guide on Cloud Computing

    One of the technologies influencing how we work and play is cloud computing. The cloud helps businesses eliminate IT problems and promotes security, productivity, and efficiency. It also enables small enterprises to utilize cutting-edge computing technologies at a significantly lesser cost. Here is what you need to know about the cloud and how it can benefit your company.

    On-Demand Computing

    The term “cloud” describes online-accessible servers and software that anyone can use. You are spared from hosting and managing your hardware and software as a result. Additionally, it implies that you can use these systems from any location where you have internet access.

    Every day, you encounter cloud computing. You are accessing data that is kept on a server somewhere in the world whenever you check your Gmail inbox, look at a photo on your Dropbox account, or watch your favorite shows on Netflix. Even though the emails, videos, or other files you require are not physically present on your computer, you may quickly, simply, and affordably access them owing to contemporary cloud computing technology.

    Public, Private, and Hybrid Cloud

    Private, public, and hybrid deployment strategies are the three main types of cloud computing. In the end, all three models will give customers access to their business-critical documents and software from any location, at any time. It all depends on how they approach the task. The kind of cloud you should use for your company depends on several variables, including the purposes for which you intend to use it, applicable laws on data storage and transmission, and other aspects.

    Private Cloud

    A single entity is served via private clouds. While some companies construct and manage their ecosystems, others rely on service providers to do so. In either case, private clouds are expensive and hostile to the cloud’s advantages for the economy and IT labor productivity. Private clouds, however, are their sole choice because certain organizations are subject to greater data privacy and regulatory constraints than others.

    Public Cloud

    Distributed across the open internet, public clouds are hosted by cloud service providers. Customers can avoid having to buy, operate, and maintain their own IT infrastructure by using the most widely used and least-priced public clouds.

    Hybrid Cloud

    A hybrid cloud combines one or more public clouds with private clouds. Imagine you operate in a sector where data privacy laws are extremely rigorous. While you don’t want to host legally required data in the cloud, you do want to be able to access it there. To access data saved in your private cloud, you also want to deploy your CRM in the cloud. Using a hybrid cloud is the most sensible choice under these circumstances.

    Everything as a Service

    The cloud “stack” is made up of numerous levels. The collection of frameworks, tools and other elements that make up the infrastructure supporting cloud computing is referred to as a stack. Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) components are included in this. Customers that use these services have varied degrees of control and accountability over their cloud environment.

     

     

    Infrastructure as a Service

    The customer oversees managing everything with IaaS, including the OS, middle-ware, data, and applications. Other duties, including virtualization, servers, storage, and networking obligations, are handled by the service provider. Customers are charged by how many resources, including CPU cycles, memory, bandwidth, and others, they consume. Microsoft Azure and Amazon Web Services are two examples of IaaS products.

    Platform as a Service

    Customers can create, test, and host their applications using PaaS solutions. The consumer oversees managing their software and data; otherwise, the service provider takes care of everything. You don’t have to be concerned about operating systems, software upgrades, or storage requirements if you use PaaS solutions. Customers of PaaS pay for any computing resources they use. Google App Engine and SAP Cloud are a couple of examples of PaaS technologies.

    Software as a Service

    Customers acquire licenses to utilize an application hosted by the provider under the SaaS model. Customers often buy annual or monthly subscriptions per user instead of how much of a certain computer resource they consumed, unlike IaaS and PaaS models. Microsoft 365, Dropbox, and DocuSign are a few popular SaaS products. Small firms that lack the capital or IT resources to implement the most cutting-edge technologies would benefit greatly from SaaS solutions.

    Benefits of the Cloud

    Reduced IT costs: By using cloud computing services, recurrent costs for monitoring and maintaining an IT infrastructure can be greatly decreased.

    Scalability: When necessary, developers can increase storage and processing capability by using cloud services. Additionally, development teams do not have to spend time or money upgrading cloud computing services.

    Collaboration efficiency: For the agile technology sector, cooperation has always been a need. Professionals from all around the world may work and collaborate using current cloud services. With these functionalities, teams may communicate with clients or other teams online while collaborating in real-time and sharing resources.

    Flexibility: Cloud computing can provide a great deal of flexibility in addition to helping to lower operational costs. Developers and other key stakeholders now have easier access to crucial data metrics at any time and from any location.

    Automatic updates: Teams may use the most recent resources available while managing and meeting IT standards thanks to automatic updates. Cloud computing is a popular technology because it allows users to access the newest tools and resources without having to spend a fortune.

     

  • Top IT Trends to look out for in 2023

    Top IT Trends to look out for in 2023

    Technology is still one of the main drivers of global change. Technology advancements give businesses more opportunities to increase efficiency and develop new products. Business leaders can make better plans for the future by keeping an eye on the development of new technologies, foreseeing how businesses might use them, and comprehending the factors that influence innovation and adoption. Keep reading to know about the new tech innovation and trends which will become a critical force for change in the world.

    Artificial Intelligence  

    Artificial intelligence has long been the subject of hype. If you are a tech professional, you might not enjoy how pervasive artificial intelligence has become. For both creative and routine activities, AI has already proven its brilliance in navigation apps, cell phones, and more. The buzz surrounding AI won’t go away anytime soon. It will become more accessible because of the expanding ecosystem of as-a-service platforms and low-code or no-code AI systems.

    Synthetic content is a promising area of AI to keep an eye on. It involves using the AI’s imagination to produce brand-new, unprecedented sights, sounds, or data. We can anticipate seeing the development of AI that is useful in both business and entertainment in 2023. Precedence Research predicts that by 2030, the global AI market would be worth $1,597.1 billion. We may anticipate new opportunities in programming, development, testing, and many other sectors as AI becomes more prevalent in a variety of industries.

    Metaverse

    Metaverse can now be classified as “a more digital environment.” Within the next five years, it is anticipated that the experience of immersive online environments and next-level user experiences will develop significantly. The phrase “metaverse” is used to refer to a highly immersive 3D virtual world that is created by combining AR, VR, and MR technologies by developing a virtual environment in which users can engage in social interaction, play games, do commerce, and more. The online experience is enhanced by the metaverse platform.

    The metaverse has the potential to open doors to new artistic, social, and professional opportunities in 2023. In the next five years, the tech giant Facebook plans to add 10,000 new, highly trained jobs for the metaverse. Talented metaverse engineers, marketers, architects, and visionaries will have more opportunities as a result.

    Blockchain

    Blockchain technology has become more and more popular, and many sizable firms are headed in that direction. As a result, there is a huge need for developers in the field of blockchain technology. The network’s decentralization, security, and data privacy are among blockchain’s advantages. Applications for blockchain technology go well beyond digital currency like bitcoin. Blockchain’s worth will significantly rise, reaching $176 billion by 2025 and $3.1 trillion by 2030, as predicted by Gartner. Whether they are little businesses or established corporations, everyone wants a piece of the blockchain industry.

    Quantum Computing

    There is a contemporary competition taking place on a worldwide basis to develop quantum computing. Quantum computing, which uses subatomic particles to develop new ways to process and store data, is expected to make it possible for computers to be a trillion times faster than the fastest regular processors currently available. The concern around quantum computing is that it might make our current encryption methods obsolete.

    Therefore, any country that makes significant investments in the development of quantum computing will have the ability to decrypt the encryption used by other countries, corporations, security systems, and other entities. In 2023, keep an eye on this development as nations including the US, UK, China, and Russia invest heavily in the creation of quantum computing technology.

    Hyper-automation

    Hyper-automation enables the automatic completion of repetitive tasks without manual or human input. It modifies both new and existing gear and processes using robotic process automation (RPA), machine learning, and artificial intelligence (AI). By using digital transformation to improve cost and resource efficiency, a business can prosper in a more competitive world. To succeed in the current market, businesses must increase production, cut costs, and run more effectively. With the aid of hyper-automation services, you can advance.

    Datafication

    The transition of all the physical items in our lives into data-driven digital gadgets is known as datafication. In conclusion, it converts labor-intensive, manual processes into data-driven technologies. Data has been a part of everything for longer than we can remember, from our cell phones to our workplace software, industrial machinery, and AI-powered products.

    As a result, handling our data in a secure and safe manner has become a sought-after skill in our sector. Datafication can turn unprocessed data into knowledge if done correctly. This has already been advantageous to numerous businesses.

    Industry Cloud Platforms

    Businesses can increase the flexibility of their workload management by using industrial cloud platforms. They can expedite adjustments to data analysis, corporate operations, and compliance processes. To enhance adaptability, quicken time to value, and meet the demands of vertical industry sectors, they combine platforms, software, and infrastructure as a service.

    Sustainable Tech

    In the future, we’ll start to see a move toward sustainable technology. We all rely on technology, including computers, cell phones, and tablets, but where are the parts needed to make these devices come from? The public will be more interested in where rare earth materials come from and how we use them. Additionally, we use cloud services like Netflix and Spotify, which continue to operate in big data centers that use a lot of electricity. As consumers demand energy-efficient goods and services supported by more sustainable technologies, efforts to boost supply chain transparency will probably continue in 2023.