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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
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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.
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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.
The foundation of industrial automation, supervisory control and data acquisition (SCADA) systems, are becoming progressively more important. They guarantee safety, facilitate real-time monitoring and control, optimize operations, and enhance decision-making. The interconnectedness of SCADA systems, which enable data gathering and analysis from a broad network of sensors and devices across an entire facility or several sites, is at the core of this innovation, which is propelling a new era of industrial automation.
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
Interior design trends are changing, influenced by evolving visual tastes, cultural movements, technological progress, and shifts in lifestyle. The trends adapt to reflect people's changing needs and desires. While they might appear straightforward, the styles selected often carry more profound significance, reflecting personal and societal values. Interior design remains a dynamic field that is continuously evolving to align with the contemporary landscape and individual expressions.
Use of Color
Spaces can be made bigger, warmer, and calmer by color. Bright colors, such as 'Viva Magenta' 18-1750, make them stand out. With its vibrant hue, this bold hue illustrates how color plays a huge role in interior design. Color plays a vital role in creating a unique and captivating space, and this choice proves it.
Mixed Materials
Biophilic design is a popular trend in interior design, combining natural elements with beautiful textures and tones to enhance comfort and aesthetics. This style can be achieved by pairing multiple materials, such as stones, timber grains, tiles, and plants, to create a strong juxtaposition that communicates the space's function or a more prominent aesthetic theme.
Warm Colour Palettes
Bold colors dominate this year's trends, but warm color palettes are expected to become more prominent. Despite years of Covid-19 restrictions, people are now back to normalcy, yearning for more variety and comfort in their daily lives. Warm, earthy tones can create a sense of tranquillity in biophilic design, addressing the cravings of the new normal.
Geometric Shapes
The COVID-19 pandemic has prompted a shift in interior design towards minimalistic styles, requiring more vibrancy and life in spaces. Geometric patterns create solid visual features on walls, floors, and ceilings, creating a more balanced and visually appealing space. These patterns can develop focal points and add movement to the overall design, making spaces more dynamic and stimulating.
Sustainable Design
The design world embraces sustainable design, incorporating recycled materials, reused products, and long-term materials. This trend not only benefits the environment but also creates unique aesthetics. Businesses and places can demonstrate their commitment to reducing carbon footprint and promoting a wider and greener future. Sustainable design also creates visually appealing spaces that promote health and well-being for occupants, showcasing their commitment to a greener future. ...Read more
Sector convergence, which involves the breakdown of traditional divisions among several industries, is being accelerated by practical technology. This phenomena allows firms to leverage technology and proficiencies outside of their principal domain, fostering new business paradigms, value constellations, and opportunities.
Key Technological Catalysts
Several transformative technologies are serving as the primary drivers of industry convergence, providing the infrastructure and capabilities that enable cross-sector collaboration and the creation of new value. The Internet of Things (IoT) connects physical assets to digital networks, generating vast streams of data that integrate physical and virtual operations. For example, smartwatches and fitness trackers, initially consumer electronics, now serve the healthcare sector by supporting remote patient monitoring and preventative care. Artificial Intelligence (AI) and Machine Learning (ML) build on this data by enabling advanced analytics, driving smarter decision-making, and delivering hyper-personalized services across various industries. Retailers utilize AI to predict consumer trends, optimize supply chains, and personalize shopping experiences. At the same time, financial institutions leverage it for fraud detection and algorithmic trading, thereby blurring the boundaries between technology and traditional banking. Blockchain adds another dimension by offering a secure, transparent framework for managing transactions and data across multiple parties, streamlining cross-sector collaboration in areas such as supply chain management by reducing reliance on intermediaries. The rollout of 5G connectivity provides the speed and low latency necessary to support these technologies at scale, enabling real-time communication between devices and seamless integration across various industries. Autonomous vehicles, for instance, depend on instantaneous connectivity with smart city infrastructure and other cars, exemplifying the convergence of automotive, telecommunications, and urban planning.
Impact on Business and Society
Sector convergence is profoundly altering conventional business paradigms. A single product or service no longer defines enterprises; instead, they are evolving into comprehensive ecosystems that deliver an array of integrated solutions. This evolution fosters novel opportunities for innovation, concurrently introducing complexities such as navigating intricate regulatory frameworks and managing data privacy across disparate sectors. From a consumer perspective, this convergence facilitates enhanced convenience, personalization, and seamless experiences; however, it also raises concerns regarding data security and market dominance. As the trajectory of applied technology continues its advancement, the demarcations between industries will inevitably diminish, thereby ushering in a future characterized by interconnected and integrated services.
Ultimately, applied technology transcends mere efficiency; it represents a fundamental force for change, reshaping the very structure of our economy. The future will be defined by ecosystems of integrated services, where companies succeed not by dominating a single sector, but by seamlessly connecting their offerings with others. This era of convergence promises unprecedented innovation and convenience for consumers. Yet, it also necessitates a proactive approach from businesses and policymakers to navigate the challenges of regulation, data privacy, and market power. Embracing this paradigm shift is crucial for companies seeking to develop in a world where the distinctions between sectors no longer exist. ...Read more
Artificial intelligence and machine learning are proving to be very useful for weather prediction, as they are in many other fields of science. Machine learning has shown some potential in our research on forecasting high-impact weather. Researchers also believe these tools open up new possibilities for better forecasts where more than human expertise is required.
There still are major challenges with employing just human expertise. It remains difficult to predict tornadoes, large hail, or heavy rain during thunderstorms. Inaccurate predictions trigger subsequent inaccuracies in predicting small changes in complex processes, making weather less predictable.
Models: Numerical weather prediction models are today's primary tools for weather forecasters. Weather stations, balloons, and satellites provide observations of the current state of the atmosphere for these models, which solve equations governing air movement.
It is possible to predict most weather systems with these models, but the smaller the event, the harder it is to do. Integrating weather prediction models with human analysis leads to better predictions. Forecasters are remarkably good at analyzing the huge amount of weather data they receive daily, but their memory and bandwidth could be improved. Machine learning and artificial intelligence can help with some of these challenges.
Artificial intelligence (AI): These tools allow forecasters to make predictions beyond models' capabilities, such as high-impact weather. A machine learning approach is also being incorporated into numerical weather prediction models to speed up tasks that can be computationally intensive, such as predicting how water vapor turns into rain, snow, and hail.
Machine learning (ML): In the future, machine learning models may replace traditional numerical weather forecasting models. These systems process past weather maps instead of solving complex physical equations as models do to learn how weather systems typically behave. They then make weather predictions based on historical data and current weather conditions.
Research has shown that machine learning-based forecast systems can predict general weather patterns and numerical weather prediction models with only a fraction of the computing power. Researchers are closely testing these new tools and developing new methods for forecasting local weather. Although they still need to provide detailed information about local weather, these tools have promising prospects. ...Read more