Adopting digital technology can bring various benefits to a business. CIPS hasalso observed that digital capability can be used to support supply chain transparency and remote working.
The goal for its implementation is to increase value through innovation, invention, improved customer experience and efficiency.
Focusing on efficiency and costs, the Chartered Institute of Procurement & Supply (CIPS) defines “digitalisation” as the practice of redefining models, functions, operations, processes and activities by leveraging technological advancements
to build an efficient digital business environment – one where gains (operational and financial) are maximised, and costs and risks are minimised
Data science is an umbrella term for all aspects of data processing—from the collection to modelling to insights. On the other hand, data analytics is mainly concerned with statistics, mathematics, and statistical analysis.
The Goal is implementation statistical methods and machine learning algorithms to analyse complex data sets and identify insights that can drive strategies
In today’s hyper-connected world, the importance of strong cybersecurity and information security cannot be overstated. As cyber threats become more sophisticated, businesses face growing risks to their data, infrastructure, and reputation. We provide comprehensive cybersecurity solutions that address these risks head-on. Our approach includes advanced threat detection, secure data management, and robust risk mitigation strategies. We work proactively to ensure that your organization is compliant with the latest regulations and standards, reducing vulnerabilities while fostering trust with customers and partners. Our services help you navigate the complexities of modern cyber threats, protecting your assets and ensuring the continuity of your operations in a secure, resilient environment.
AI and Emerging Technologies are at the heart of the digital transformation reshaping industries worldwide. We harness the power of artificial intelligence, machine learning, and robotics to create intelligent systems that not only automate routine tasks but also enable complex problem-solving. These technologies drive operational efficiency, optimize workflows, and unlock new opportunities for innovation. By integrating AI into your processes, we help your business adapt to rapid technological advancements, improve decision-making, and gain a competitive edge. From intelligent automation to predictive systems, our AI solutions are designed to meet the specific needs of your industry, helping you stay ahead in a fast-paced digital landscape.
Understanding and predicting customer behavior is critical for any business aiming to thrive in today’s competitive landscape. Our Customer Analytics services delve deep into the data generated by customer interactions, transactions, and feedback, providing a comprehensive view of their preferences, needs, and patterns. By analyzing this data, we enable businesses to make informed decisions that enhance the customer experience, improve retention, and drive revenue growth. Our approach integrates advanced analytical tools and methodologies, allowing businesses to personalize marketing efforts, optimize product offerings, and anticipate customer demands. With real-time insights and predictive capabilities, we help you build stronger customer relationships, tailor your strategies to market demands, and achieve measurable results that boost customer loyalty and satisfaction.
Data mining do the sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.we are using Data mining techniques and tools help enterprises to predict future trends and make more informed business decisions.
Innovation is the cornerstone of progress, and data is the foundation upon which future-focused businesses are built. Our team of Data Architects and Scientists are experts at designing and implementing sophisticated data systems that empower businesses to unlock the full potential of their information. We develop scalable data architectures that enable efficient data storage, management, and processing, laying the groundwork for advanced analytics and machine learning applications. By applying innovative data science techniques, we turn raw data into actionable insights, guiding smarter decision-making and strategic planning. Whether it’s predictive modeling, algorithm development, or data visualization, our solutions help businesses innovate faster, stay competitive, and leverage data as a powerful asset for long-term success.
Operational technology can also be found in warehouses and in outdoor areas such as parking lots and highways. Some such OT examples include ATMs and kiosks, connected buses, trains, and service fleets, weather stations, or a system that allows a city to manage chargers for electric vehicles. We are providing services to track the transaction of the above business in an optimized way to produce a dashboard which will help the enterprise to improve the business
Focus and Scope: IT governance orchestrates IT’s strategic direction and performance within an organization, while IT compliance concentrates on adhering to specific external regulations pertinent to the industry.
Objectives: IT governance aims to optimize IT resources and performance, creating value. In contrast, IT compliance strives for adherence to external standards to avert legal and financial ramifications.
Time Frame: IT governance adopts a long-term outlook, aligning IT with organizational goals, whereas IT compliance often targets immediate, short-term regulatory compliance.
Flexibility: IT governance allows more adaptability to shifting organizational needs, whereas IT compliance demands strict adherence to set regulations.
E-government can greatly benefit by the use of IoT, enabling the creation of new innovative services or the transformation and enhancement of current ones, which are informed by smart devices and real-time data. The adoption of IoT in e-government encompasses several challenges of technical as well as organizational, political and legal nature which should be addressed for developing efficient government-to-citizen and government-to-society applications. This article examines IoT adoption in e-government in a holistic approach. It provides an overview of the IoT potential in e-government across several application domains, highlighting the specific issues that seek attention in each of them. The article also investigates the challenges that should be considered and managed for IoT in e-government to reach its full potential.
IoT is a very promising technology and is predicted to flourish within the next years, as 127 new devices connect to the Internet every second (McKinsey, 2018), with the number of IoT devices being expected to exceed 64 billion by 2025 (Business Insider, 2019). With the advent of the Internet of Things (IoT) machines and objects constitute dynamic intelligent actors of networked environments providing novel services. The ubiquitous nature of IoT brings dramatic changes to the way we work and live, with an increasing adoption in various domains of personal and organizational activity.
IoT can bring unprecedented benefits in the public sector, making a shift from e-government to smart government, transforming G2C, G2B, and G2G transactions and processes. According to industry forecasts, the smart government market is estimated to reach USD 52.19 billion by 2026 (Reports and Data, 2019). IoT-enabled government information systems and applications can offer innovative services or extend the type and the quality of existing ones with smart provisions across a wide spectrum of domains, such as health, transportation, environment, communications, security/safety, energy, defense and smart cities.
In each of these sectors IoT can be used to provide a variety of sophisticated e-government services that can be valuable and helpful to citizens, the society and the environment. In all these cases, IoT systems and applications enable the provision of advanced services to people and the society in general, that can enhance their security and safety against a This article, originally published under IGI Global’s copyright on June 12, 2020 will proceed with publication as an Open Access article starting on January 18, 2021 in the gold Open Access journal, International Journal of Ar tificial Intelligence and Machine Learning (con-verted to gold Open Access January 1, 2021), and will be distributed under the terms of the Creative Commons Attribution License ) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited.
volume 10 • Issue 2 • July-December 2020100number of threats and risks and in diverse contexts, allowing for the protection of the public, the prevention of disasters and the immediate and effective response to emergency situations. In addition to the critical safety provisions, thanks to the use of IoT, these electronic government-to-citizen (G2C) and government-to-society (G2S) services allow for a better quality of life by protecting the environment and by facilitating everyday activities. Despite the increasing progress and interest in both areas of IoT and e-government, research on their combined use is limited (e.g. Wirtz et al., 2019; AlEnezi et al., 2018; Brous and Janssen, 2015a, 2015b). Literature focus is largely on technology or governance aspects or a specific application area such as smart cities.
How e-government can benefit and grow from IoT has not been fully addressed yet. In order to gain a better understanding about how e-government can successfully leverage the IoT potential, a comprehensive, holistic approach of applying IoT in e-government is needed, covering challenges of both technical and non-technical nature, associated with the combined use of e-government and IoT systems. In this paper an attempt is made towards setting a framework for designing and implementing smart citizen and society-oriented government services with IoT-based systems. In this direction, after an overview of the research literature related to the topic, we describe several application domains of IoT in e-government, with a particular focus on critical services provision, in areas of public security/safety, healthcare, environment, transportation, energy, waste management and smart city.
Then, we identify the challenges, technical and non-technical, that can be encountered in the development of successful IoT egovernment systems and we propose solutions that can be used to tackle these challenges. The paper proceeds to showcase the potential of IoT-based e-government as well as the challenges and how they should be addressed through an example case. Finally, the paper summarizes our findings and provides conclusions and guidelines. The paper aims to contribute to a better understanding of how the IoT promise in government can be realized and to provide insights that can be of value for both researchers and practitioners active in the growing field of IoT and e-government.
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