ARTIFICIAL INTELLIGENCE AND MARKETING INTERSECTION POST-COVID-19: A CONCEPTUAL FRAMEWORK

As a result of mass digitization during the pandemic, businesses were able to automate business processes, giving people and brands a deeper connection. A proactive strategy, however, is the next step for organizations to implement AI during crisis situations by going one step further. In spite of this, most organizations still do not adequately address this growing problem. After Covid outbreaks, consumer behavior is unlikely to return to pre-pandemic levels. Consumers will increasingly buy goods and services online, and more people will work remotely. In the post-Covid-19 world, as economies slowly begin to open up again, artificial intelligence (AI) will be extremely valuable as companies begin to adapt to the new environment. Similar to other global crises, several major trends that were already underway before Covid are likely to accelerate as a result of the pandemic. Companies must continue to invest in artificial intelligence initiatives during the recovery phase. A conceptual framework for marketing and user engagement is presented in this paper that uses artificial intelligence and automation in ways that are user-centric, integrating traditional marketing practices into an overarching framework that can be implemented by structured artificial intelligence. Embedded technologies, artificial intelligence, and automation have had a significant impact on the four Ps of marketing and will continue to do so

A study of the economic impact of data centres on the nation’s growth and development

Economic growth and development of the nation as a whole is greatly influenced by the development and growth of the data centers. At both a national and international level, data centers contribute to the growth of the economy for the benefit of citizens. The result of this is that governments are able to increase their competitiveness, ease of doing business, contribute to the growth of their economies, and attract investors to their countries, as a result of this. Data centers are widely used and re-used throughout the economy, which highlights the importance of data as a new form of capital for 21st century knowledge driven economies, and more specifically, the re-use of data centers within the economy, which highlights the importance of data as a new form of capital for 21st century knowledge driven economies. The fact that data centers are capable of being re-used for a theoretically unlimited range of purposes means that they cannot be depleted at all because they can never run out of use. In the event that data centers are repurposed for the purpose of generating opportunities for growth, or generating benefits for society on a large scale that could not have been imagined when the data centers were first created, then the result may be positive spill-over effects. Governments can enhance their reputation by investing in Data Centers and initiatives but they can also be able to drive innovation across the economy by taking data-driven decisions that enhance their reputation as well. By making data available as well as sharing it, spillover benefits may also be created, since the availability and sharing of data may enable "super-additive" insights that may be greater than the sum of insights derived from isolated parts (data silos), allowing data to be used more efficiently

Procurement technology and its impact on the economy: harnessing the power of sustainable procurement

Generally speaking, sustainable procurement means buying supplies that the company needs to manufacture and/or sell products in a sustainable manner, while maintaining a balance between management efficiency and the adoption of sustainable practices to reduce the company's environmental footprint. When it comes to complying with the environmental and social legislations and regulations relevant to their industry, an organization can leverage technology to enable compliance management to help them address a number of issues. In case of socially responsible, environmentally friendly suppliers that are certified by sustainable rating organizations and have green compliance certifications, the system will be able to assist suppliers in quickly identifying them. A close eye should be kept on the reputation of our suppliers, especially if it comes to any unethical practices that they may engage in, such as child labor, raising our carbon footprint, producing hazardous wastes, etc., that they might be engaging in. A key point that should be taken into account is that it is more likely that for many corporations, the footprint and the value associated with it related to sustainability will be found in the supply chain rather than in any operations that are controlled directly by the corporation itself. Increasingly, the public is demanding that the promises made by the government should be kept. In order to ensure that the company is able to deliver on its commitments to sustainable performance, leaders must be able to extract and manage the increased innovation coming from suppliers as well as employees. In this paper, we explore how regulations, rising energy costs, and consumer concerns about ethical business practices are driving corporations in many sectors to look at sustainable procurement as a way to reduce costs and increase the value they are putting into their business practices as a whole. According to this research, leading countries and businesses are benefiting from sustainable procurement practices as a result of a more sustainable approach to procurement. The reason for this is that a sustainable approach to procurement can lead to lower costs, reduced risk levels, and increased stakeholder value, as well as a wider range of innovative products and pricing options

Education and society: an analysis of the relationship between technological development and knowledge transfer

It has become increasingly important to use technology in education and society in order to prepare students for the future world in which they will have to live, as it enhances education and develops digital literacy, as well as 21st century skills such as critical thinking, problem solving, collaboration, communication, and information literacy that will be necessary for their success in the future. With technology being used more effectively in the education sector and in society as a whole, these skills can be imparted to learners in a more effective manner as a result of its use in the education sector. To accomplish this objective in educational institutions and society as a whole, pedagogical models can certainly be utilized, but in order to achieve this objective in a productive manner, they need to be utilized in the correct way. In addition to great leaders and entrepreneurs, the most successful educational organizations and societies share one common characteristic with the most successful educational organizations and societies. That is, they are able to exchange knowledge and wisdom within the society as well as within their faculties, students, and the external environment in which they operate. As a result of the variety of ways in which people communicate today, both individually and as a group, technology-enhanced communication in the society has never been more complex or challenging than it is today due to the types of communication technology available. Whenever it comes to using technology for knowledge dissemination in educational organizations, it is imperative that both the prerequisites as well as the consequences are taken into account when making a decision regarding the use of technology for knowledge dissemination. In recent years, it has been observed that the use of algorithms as a method of solving problems has increased due to machine learning and the development of algorithms that have been used to solve problems as a result of machine learning. The use of analytics is a prerequisite to using algorithms as a means of solving problems, because algorithms can be used as a means of solving problems, since algorithms are able to solve problems. For the purpose of solving problems in the current educational scenario around the world, a variety of algorithms, along with machine learning, are used as a method of solving problems, in addition to the development of algorithms to solve problems in the current educational scenario

Impact of the Agricultural Supply Chain on Society: A Post-Covid Analysis

Over the past few years, the global agricultural supply chain has been shown to be extremely vulnerable to disruptions as a result of the Covid pandemic that has occurred over the last few years. Due to the COVID-19 pandemic, companies around the world have faced unprecedented challenges as well as the cross-border flow of components and materials in the agriculture industry as a result of the outbreak. Due to the ongoing challenges of climate change as well as the changing geopolitical landscape, such disruptions seem to be more frequent and intense than ever before. By leveraging digital technologies to find new ways to protect supply chains in an uncertain climate, farming is able to flourish in this dynamic environment of constant change and find new ways to secure their supply chains in an uncertain climate by leveraging digital technologies. In the context of the agriculture sector, the recent pandemic has had an impact on every aspect of the value chain, from the raw material sourcing in the farming sector to the final customer. Many small and marginal farmers around the globe are being tested in terms of their commercial, operational, financial, and organizational resilience, and this has highlighted the risks and resiliency gaps for many of these farms. It is impossible for any of us to predict what will happen in the future, but what we can do is learn from the past and prepare for the uncertain future. In spite of the fact it is clear now that many supply chains had become complacent in recent years, the urgency to create a supply chain which is able to adapt to the future is greater than ever. It is important to note that one silver lining of this situation is that we have the experience, the intelligence, and the technology at our disposal to resolve supply chain disruptions. Farmers should be able to use those pieces to create a solid strategy and execute on a supply chain transformation plan that makes the most sense for the farming community as a whole to be able to put the pieces together, come up with a solid strategy, and execute on it

Examining the technological advances and innovations of integrated technologies in terms of their economic and social impact

In recent years, the concept of Software as a Service (SaaS) referred to as SaaS has been around for about four to five decades. Often, people refer to it as software as a service or simply SaaS, which stands for software as a service. An organization's competitiveness, when it comes to incorporating cutting-edge technologies into its systems, processes, and products, has long been recognized as a key component of the organization's competitiveness. In order for an organization to be able to develop and attract attention in terms of their ability to integrate new technologies into their systems, processes, and products, it is essential that they possess the ability to integrate new technologies into their systems, processes, and products. This area is associated with a number of positive aspects that contribute to its overall growth and development, since it is characterized by a number of positive features that contribute to its overall growth and development. New technologies can sometimes result in an increase in revenue as a result of their introduction as a result of the introduction of a new technology. It is important to understand the technology that is being introduced as a result of the introduction of the new technology as a result of the introduction of the new technology. Obviously there is no doubt that the costs associated with purchasing new electronic devices that use the internet to connect to the internet are on the rise, as we all know. It is important to take into consideration this and this when trying to estimate the cost of these devices. A number of different strategies are used by companies in order to keep their existing customers from migrating away from them in order to prevent their existing customers from migrating away from them in order to keep their existing customers from migrating away from them. This can sometimes be achieved by offering superior services or sometimes it can be achieved by combining both approaches in order to achieve this, all of which contribute to making migrating data an extremely difficult process. Throughout the course of the last few years, there has been a noticeable increase in the awareness of the fact that interacting with data within the context of user systems has become a skill that has evolved into a form of art in and of itself over the course of the past few years. There is no doubt that there has been an evolution of data interacting into a fine art over the years and that the fact that it has evolved into a fine science over the years can be attributed to the fact that it has evolved into a fine art over the years

Dynamical layer decoupling in a stripe-ordered, high T_c superconductor

In the stripe-ordered state of a strongly-correlated two-dimensional electronic system, under a set of special circumstances, the superconducting condensate, like the magnetic order, can occur at a non-zero wave-vector corresponding to a spatial period double that of the charge order. In this case, the Josephson coupling between near neighbor planes, especially in a crystal with the special structure of La_{2-x}Ba_xCuO_4, vanishes identically. We propose that this is the underlying cause of the dynamical decoupling of the layers recently observed in transport measurements at x=1/8.Comment: 4 pages, 3 figures (one with 3 subfigures); ; new edited version; one new reference (Ref.25); to be published in Physical Review Letters (in press

Correlated Wave-Functions and the Absence of Long Range Order in Numerical Studies of the Hubbard Model

We present a formulation of the Constrained Path Monte Carlo (CPMC) method for fermions that uses trial wave-functions that include many-body effects. This new formulation allows us to implement a whole family of generalized mean-field states as constraints. As an example, we calculated superconducting pairing correlation functions for the two-dimensional repulsive Hubbard model using a BCS trial state as the constraint. We compared the results with the case where a free-electron trial wave-function is used. We found that the correlation functions are independent of which state is used as the constraint, which reaffirms the results previously found by Zhang et. al regarding the suppression of long range pairing correlations as the system size increases.Comment: 15 pages, 3 figures, submitted to Phys. Rev.

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL

Offline reinforcement learning (RL) offers an appealing approach to real-world tasks by learning policies from pre-collected datasets without interacting with the environment. However, the performance of existing offline RL algorithms heavily depends on the scale and state-action space coverage of datasets. Real-world data collection is often expensive and uncontrollable, leading to small and narrowly covered datasets and posing significant challenges for practical deployments of offline RL. In this paper, we provide a new insight that leveraging the fundamental symmetry of system dynamics can substantially enhance offline RL performance under small datasets. Specifically, we propose a Time-reversal symmetry (T-symmetry) enforced Dynamics Model (TDM), which establishes consistency between a pair of forward and reverse latent dynamics. TDM provides both well-behaved representations for small datasets and a new reliability measure for OOD samples based on compliance with the T-symmetry. These can be readily used to construct a new offline RL algorithm (TSRL) with less conservative policy constraints and a reliable latent space data augmentation procedure. Based on extensive experiments, we find TSRL achieves great performance on small benchmark datasets with as few as 1% of the original samples, which significantly outperforms the recent offline RL algorithms in terms of data efficiency and generalizability.Comment: The first two authors contributed equall

The clinical correlation between Alzheimer's disease and epilepsy

Alzheimer's disease and epilepsy are common nervous system diseases in older adults, and their incidence rates tend to increase with age. Patients with mild cognitive impairment and Alzheimer's disease are more prone to have seizures. In patients older than 65 years, neurodegenerative conditions accounted for ~10% of all late-onset epilepsy cases, most of which are Alzheimer's disease. Epilepsy and seizure can occur in the early and late stages of Alzheimer's disease, leading to functional deterioration and behavioral alterations. Seizures promote amyloid-β and tau deposits, leading to neurodegenerative processes. Thus, there is a bi-directional association between Alzheimer's disease and epilepsy. Epilepsy is a risk factor for Alzheimer's disease and, in turn, Alzheimer's disease is an independent risk factor for developing epilepsy in old age. Many studies have evaluated the shared pathogenesis and clinical relevance of Alzheimer's disease and epilepsy. In this review, we discuss the clinical associations between Alzheimer's disease and epilepsy, including their incidence, clinical features, and electroencephalogram abnormalities. Clinical studies of the two disorders in recent years are summarized, and new antiepileptic drugs used for treating Alzheimer's disease are reviewed