Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Applied Technology Review
Sustainability will be the major focus for the technology industry in 2022.
The year 2021 has been a boom for the technology industry, as a result, digital transformation and cloud investments have been prioritized
By
Applied Technology Review | Thursday, January 20, 2022
Firms will be mandated to lay out and implement a comprehensive sustainability strategy in 2022 which will require more concentrated leadership, particularly in the APAC region.
The year 2021 has been a boom for the technology industry, as a result, digital transformation and cloud investments have been prioritized, and companies across industries have embraced transformative technologies to develop relevant solutions. Another key trend that has been incorporated into businesses is sustainability, which can assist in order to address the climate crisis. Even the incredible march of the unicorns has been an exhilarating feature of the year, with a wide range of firms taking part in the new valuation stories.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
According to the CEOs of some of the top tech firms, 2021 has been a watershed year for tech and the paths for the next decade have been truly illuminated. A recent Frost & Sullivan report suggests that sustainability is critical to 42 percent of company strategies in India. Undoubtedly, in addition to meeting compliance and regulatory requirements, people of all ages, particularly the young, are increasingly evaluating companies' sustainability track records and commitments through a sustainability lens before committing their money. Furthermore, businesses in both the public and private sectors are beginning to do much the same with their suppliers and associates, holding them—and themselves—responsible for reducing carbon emissions.
It's no surprise that more and more environmentally friendly raw materials and greener manufacturing processes are being used, and renewable energy is employed wherever possible. The government's focus on sustainability can clearly be seen through its Sustainable Development Goals, for example, the recently conducted COP 29 Summit, which aims at a target of zero-emission for India by 2022. Recycled materials are taking the place of biodegradable materials in situations where they may not be suitable. Recognizing that sustainability is an important paradigm to act on is an effective first step toward preserving our environment. It may not be a choice for long as in 2022, every enterprise may be required to develop and implement a comprehensive sustainability strategy—a tall order that will necessitate more focused leadership, particularly in the Asia Pacific, including India. According to Forrester's Predictions 2022 report, APAC lags far behind North America and EMEA in appointing a sustainability lead at the VP, director, or other executive levels.
Furthermore, only 30 percent of Global 2000 companies in the Asia Pacific are taking real action when it comes to making their sustainability efforts more transparent, making a funded sustainability function, and ultimately reducing their carbon footprint or e-waste, according to the same report. Forrester's report suggests that for many firms in the region, sustainability efforts are motivated by compliance and investor pressure, rather than strategic planning and risk management. Such a naive approach checks the box but has no real impact on climate change, as well as risks misleading the environmentally conscious customers and partners. In order to make some actual impact, firms must change some of the fundamentals of their business. For instance, Oracle is determined to operate all the cloud regions that power its infrastructure and application servers on completely 100 percent renewable energy by 2025. Additionally, it also requires its major vendors - both for direct manufacturing and indirect procurement - to hold environmental programs in place by 2025 that include emissions-reduction targets.
Some clever ideas for how businesses can engage customers in sustainability efforts would be if retailers, logistics companies, and other shippers of physical products offered their customers with delivery options that included information on the environmental impact, rather than just the speed, and another would be if they charge customers less or give them other incentives to choose the most environmentally-friendly option. If such ideas are implemented, then this practice could have a positive impact on the environment while also enhancing a company's brand. Anyhow, businesses will increasingly rely on advanced information technologies to help them achieve their sustainability goals. For instance, the Indian agricultural cooperative IFFCO analyses massive amounts of data in order to develop an eco-friendly nano-technology fertilizer capable of cutting the use of conventional chemical fertilizers in half while increasing crop yields.
Then there's BSES Rajdhani Power Limited (BRPL), which serves over 2.7 million customers in West and South Delhi. It recently conducted a trial of the country's first territory-wide Home Energy Report (HER) program. Customers were empowered with critical information that could help them make better choices and manage their power consumption more efficiently, with the help of modern cloud technologies. The change will be difficult for everyone, and there will be no single solution. It will necessitate behavioral policy, and regulatory changes, as well as a business model and technological changes. To make the nation's sustainability goals a reality, every enterprise must integrate with these initiatives and collaborate with the administration to ensure seamless alignment. After all, future well-being is solely dependent on how sustainable we are today.
In the ever-evolving industrial landscape, the advent of digital twins is a testament to human ingenuity and the unwavering pursuit of efficiency. This transformative technology is reshaping the manufacturing sector and redefining the essence of production and design.
The Essence of Digital Twins
A digital twin is a vigorous, virtual model of a physical object or system. It's a mirror image in the digital realm, reflecting the real-world entity in real time. From a single screw to an entire assembly line, digital twins capture the intricacies of their physical counterparts with astonishing precision.
Revolutionizing Design and Production
The impact of digital twins on design and production is profound. They enable engineers to experiment and optimize without the constraints of the physical world. Accelerated product development, reduced defects, and significantly decreased manufacturing costs. Digital twins are not just tools but the new architects of innovation.
Predictive Maintenance: A Proactive Approach
One of the most compelling applications of digital twins is in predictive maintenance. By mirroring the real-time equipment status, digital twins allow for anticipating failures before they occur. This foresight is invaluable, leading to increased uptime and a drastic reduction in unplanned downtime. Digital twins enhance maintenance schedules, operational efficiency, and proactive problem identification, saving time and resources by analyzing historical data and trends.
The Sustainability Edge
In today's world, where sustainability is paramount, digital twins offer a beacon of hope. They provide a pathway to more sustainable manufacturing practices by optimizing resource usage and reducing waste. Production's environmental footprint can be minimized, paving the way for a greener future. Digital twins allow real-time monitoring and analysis of operations, enabling companies to make data-driven decisions that contribute to sustainability goals, revolutionizing industries' approach to environmental responsibility.
As we embrace the digital revolution, it's essential to remember that technology is a tool, and its value lies in how we wield it. Digital twins, with all their complexity, are ultimately about enhancing human potential. They reflect our creations and aspirations to build a smarter, more efficient, and more sustainable world. ...Read more
Smart cities leverage technology to enhance urban living, sustainability, and efficiency. Central to this transformation is geospatial AI, which combines geographic data with artificial intelligence to address urban challenges, optimize resource allocation, and improve decision-making.
Geospatial Data and Its Importance
Geospatial data includes location-based information critical for urban planning, infrastructure development, and environmental monitoring. By integrating geospatial data with AI, cities can analyze patterns, identify trends, and make informed decisions that promote sustainability and enhance residents' quality of life.
Applications of Geospatial AI in Smart Cities
Traffic Management: This technology helps identify congestion patterns and optimize traffic signal timings. Cities can reduce commuters' travel times by improving traffic flow and routing public transportation. Updates inform drivers about alternative routes, minimizing delays. It leads to better mobility and reduced environmental impact.
Urban Planning: Geospatial AI effectively models land use and population density trends in urban planning. It provides insights that support smart zoning and infrastructure development. This technology helps identify areas needing public service investments, such as schools and parks. By visualizing the impact of developments, planners can allocate resources more effectively.
Disaster Response: Geospatial AI is vital for disaster response, providing mapping capabilities during emergencies. It helps identify danger zones and assess damage through satellite imagery and sensor data. Spatial intelligence facilitates efficient coordination among first responders. Additionally, predictive analytics can forecast potential disasters, enabling measures and improving disaster management.
Environmental Monitoring: Geospatial AI supports continuous environmental monitoring by tracking air quality, noise levels, and green spaces. Integrating data from various sensors allows cities to assess ecological health effectively. This technology enables targeted interventions to mitigate pollution and promote sustainability. By analyzing trends, cities can better manage natural resources like water and waste.
The Future of Geospatial AI in Smart Cities
The future of geospatial AI in smart cities is balanced for significant advancements as technology develops. Machine learning and data analytics innovations will enable cities to harness more complex datasets, providing deeper insights into urban. Integrating the Internet of Things (IoT) will further enhance geospatial capabilities, allowing for real-time city infrastructure and services monitoring.
As cities prioritize sustainability, geospatial AI will support smart environmental initiatives, such as energy-efficient urban designs and effective waste management systems. Additionally, collaborative platforms facilitating data sharing among various stakeholders can foster innovative solutions and encourage citizen participation in urban planning.
The ongoing development of geospatial AI will contribute to more resilient, efficient, and inclusive urban environments, driving the growth of smart cities worldwide. ...Read more
Supervisory Control and Data Acquisition (SCADA) systems, the cornerstone of industrial automation, are evolving to play an even more pivotal role. They enable real-time monitoring and control and optimize operations, ensure safety, and improve decision-making. This evolution is driving a new era of industrial automation, and the connectivity of SCADA systems is at the heart of it, allowing for data collection and analysis from a vast network of sensors and devices across an entire facility or multiple sites.
IIoT integration facilitates edge computing. It reduces latency and bandwidth usage, allowing for faster decision-making and more efficient control of critical processes. Integrating advanced data analytics and AI into SCADA systems represents another significant leap forward. Modern SCADA systems can now analyze vast amounts of data in real-time, providing actionable insights beyond simple monitoring and control. AI-driven analytics can identify patterns, predict equipment failures, and optimize process parameters, improving operational efficiency and reducing downtime.
Advancements in user interfaces and visualization tools have made modern SCADA systems more than just functional. The interfaces often include real-time dashboards, customizable displays, and advanced visualization techniques, sparking excitement and intrigue about the future of industrial automation. The improvements enhance the operator's ability to manage complex systems and reduce the likelihood of human error. The potential vulnerabilities of SCADA systems to cyberattacks have led to significant advancements in security protocols and practices.
Modern SCADA systems have robust cybersecurity features, including encryption, multi-factor authentication, intrusion detection, and network segmentation. Real-time threat detection and response mechanisms have been integrated into SCADA systems, allowing immediate action during security breaches. The shift towards cloud-based SCADA systems represents a significant advancement in deploying and managing these systems. The model enables organizations to access SCADA data from anywhere, providing greater operational agility and facilitating remote monitoring and control.
Cloud-based SCADA systems support seamless integration with other cloud services, enabling advanced analytics, data storage, and collaboration across different departments and locations. The advancements in SCADA systems drive the next generation of industrial automation, characterized by increased connectivity, intelligence, and security. SCADA systems will remain at the forefront of industrial innovation, playing a crucial role in the future of smart manufacturing, energy management, and critical infrastructure. ...Read more
The future of healthcare will be centered on managing industry complexities—and digital twins can help transform operations from excellent to outstanding. Digital twins are extremely complicated models that employ AI and massive quantities of data to replicate a real-world item precisely. For example, they can collect information from wearable devices, patient records, pharmaceutical firms, device makers, and other healthcare departments. That data may then be altered, allowing physicians and healthcare professionals to evaluate prospective solutions in real-world scenarios quickly.
Soon, digital twin technologies will be vital to every healthcare enterprise's clinical and operational strategy. Healthcare providers may scale up the most efficient and cost-effective methods by translating current data into interactive digital twin models that evaluate costly therapies or plans in digital settings. Industry leaders are prepared for this by identifying use cases, establishing the infrastructure required to create and deploy them and recouping their investment effectively.
In the post-pandemic period, hospitals nationwide are grappling with complicated bed-capacity difficulties and duration of stay that exceed payer expectations, exacerbated by personnel shortages and razor-thin financial margins. Administrators, CEOs, and caregivers find "patient throughput management" a nightmare. Almost every hospital in the nation has a priority initiative to control throughput, which includes implementing hospital-at-home initiatives.
However, a hospital is a complicated and changing environment. Many things vary from day to day and hour to hour. The patient population can fluctuate, personnel availability can alter, and an unexpected rush of patients in the emergency department (ED) or a failure in the internal infrastructure could stall crucial tests and critical operations. Consider creating a "digital twin" of the hospital. Consider the potential of hospitals to simulate "what-if" scenarios that would allow them to make better judgments if a scenario occurred. This could include predicting the success of prospective interventions to address challenges such as increasing bed capacity, receiving an influx of a specific type of patient demographic (mass casualty, local disease, etc.), navigating emergencies during shutdowns, providing virtual and home care, or implementing "code purple" protocols.
Healthcare businesses may also utilize digital twins to estimate what they will require in every circumstance, such as workforce, resources, and infrastructure. This will enable hospitals to more efficiently place patients in the appropriate settings, open up new potential for improving patient flow, and eventually automate operational tasks. Machine-learning algorithms might be used to analyze collected data and create predictions for better business decisions. ...Read more