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Artificial Intelligence A Double-Edged Sword for the Common Man Leveraging Tractable AI Technologies for Business Use Understanding your solutions before you use them By Sumer Sobt
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BUSINESS E-MAGAZINE
STRATEGY
Artificial Intelligence A Double-Edged Sword for the Common Man Leveraging Tractable AI Technologies for Business Use Understanding your solutions before you use them By Sumer Sobt
AI in Agriculture Revolutionizing the Future of Farming The New Business Climate: BANI Dr. Mythili Kolluru
AI - The Latest Tech Grace
Travel Diary
Travel to Varanasi
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CONTENT
6 Artificial Intelligence A Double-Edged Sword for the Common Man
12
18
Leveraging Tractable AI Technologies for Business Use Understanding Your Solutions Before You Use Them
AI in Agriculture Revolutionizing the Future of Farming
By Sumer Sobti
24
30
The New Business Climate: BANI
AI - The Latest Tech Grace
Dr. Mythili Kolluru
38
43
Travel Diary – Rann of Kutch
Astro
3 | Issue 41
Editorial
Artificial Intelligence (AI) stands as a remarkable testament to human ingenuity. The issue highlights AI application in Agriculture, Technology, Business and common life. In agriculture, AI heralds a revolution. With its predictive analytics, AI optimizes farming operations, enhances crop management, and mitigates weather-related risks. AI creates a hope, helping farmers adapt and feed a growing population. Artificial Intelligence (AI) stands as a remarkable testament to human ingenuity. The accelerating pace of AI development portends a future where technology becomes more responsive to our needs and helps solve complex challenges. Sumer Sobti illustrates the wise use of AI in Business. Businesses, both small and large, have found a valuable partner in AI. From chatbots delivering personalized customer experiences to data analytics driving informed decisions, AI fosters efficiency and growth. Supply chain management, financial forecasting, and market analysis all benefit from AI, fostering innovation and competitiveness in the business world AI is a blessing, enriching our lives by improving personalization, convenience, and efficiency. Voice assistants, recommendation systems, and automation are just a few ways AI has touched our daily routines, simplifying tasks and enhancing experiences. Dr. Mythili Kolluru has introduced the readers to the BANI framework, which stands for Brittle, Adaptive, Nonlinear, and Interactive, business climate. Further the holy city of Varanasi, epitome of Hindu pilgrimage and other cultures is the centrepiece of our monthly travel column. Business Strategy E-Magazine | 4
Dr. Vaneeta Aggarwal Founder & CEO
contact@bizemag.com www.bizemag.com
5 | Issue 41
ARTIFICIAL INTELLIGENCE A Double-Edged Sword for the Common Man
Business Strategy E-Magazine | 6
I
n the realm of modern technology, few terms evoke as much fascination and apprehension as "Artificial Intelligence" (AI). It's a concept that has captured the imagination of many, conjuring images of intelligent machines that can outperform humans in tasks ranging from chess to diagnosing diseases. However, AI's dual nature, its potential to be both a boon and a bane, warrants a deeper exploration for the common man seeking to understand its implications.
The Promise of AI: An Angelic Force Imagine a world where traffic congestion is minimized through smart traffic management systems, medical diagnoses are more accurate than ever before, and customer service is available 24/7 through virtual assistants. These are just a few examples of the positive impact AI can have on our lives.
Enhancing Efficiency
AI has the power to revolutionize industries by automating tasks that are time-consuming and repetitive for humans. This means increased efficiency and productivity across various sectors. For instance, in manufacturing, robots powered by AI can assemble products with precision and consistency, reducing errors and waste. Example: Manufacturing and Robotics
AI-powered robots in manufacturing industries can perform intricate tasks with unparalleled precision and speed. For instance, car manufacturers use robotic arms equipped with AI vision systems to assemble complex components accurately. This reduces the margin of error and boosts production efficiency. Healthcare and Medical Advancements
AI's analytical prowess can aid doctors in diagnosing illnesses with higher accuracy. Medical imaging, such as MRI and CT scans, can be
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interpreted more swiftly and with fewer errors, potentially leading to earlier detection of diseases and better patient outcomes. Example: Radiology and Diagnostic Accuracy
AI algorithms are now capable of analyzing medical images, such as X-rays and CT scans, to identify anomalies that might be missed by human radiologists. This can lead to earlier detection of diseases like cancer and provide more accurate diagnoses. Personalized Experiences
AI algorithms can analyze vast amounts of data to understand consumer preferences and habits. This enables companies to provide personalized recommendations and experiences, improving customer satisfaction and loyalty.
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Example: E-Commerce Recommendations
Online retailers like Amazon use AI algorithms to analyze users' browsing and purchase history. This data is then used to suggest products that align with users' preferences, increasing the likelihood of purchases. Scientific Breakthroughs
AI's ability to process and analyze large datasets aids scientific research. It accelerates drug discovery, climate modeling, and even the understanding of fundamental physical processes. Example: Protein Folding
DeepMind's AlphaFold, an AI system, has made significant strides in predicting the 3D structures of proteins. This breakthrough has immense implications for drug discovery, as understanding protein structures is crucial for developing effective treatments.
Education and Learning
AI-powered tools can offer personalized learning experiences to students, catering to their individual strengths and weaknesses. This has the potential to revolutionize education by making it more engaging and effective. Example: Adaptive Learning Platforms
AI-driven educational platforms like Duolingo and Khan Academy adapt their content based on users' performance. The system tailors lessons to individual strengths and weaknesses, creating a personalized learning journey.
The Perils of AI: A Devilish Dilemma While the potential benefits of AI are immense, it's essential to recognize the potential risks and challenges that accompany its rapid advancement. Job Disruption
One of the most significant concerns is the displacement of jobs due to automation. AI-driven machines and software may replace human workers in various industries, leading to unemployment and economic disparity. Example: Automation in Manufacturing
The automotive industry has witnessed the adoption of robotics and automation for tasks like welding and assembly. While this enhances efficiency, it has also led to a reduction in human labor requirements. Ethical Quandaries
AI decisions are based on algorithms, which can sometimes amplify biases present in the data they're trained on. This could lead to discriminatory practices in areas like hiring, lending, and criminal justice.
Example: Biased AI in Hiring
AI algorithms used in hiring processes can inadvertently perpetuate biases present in historical hiring data. This could lead to discriminatory practices against certain groups. Privacy and Security
The massive amounts of data required to train AI systems raise concerns about the misuse of personal information. Data breaches and unauthorized access to sensitive data become more significant risks. Example: Data Breaches and Privacy Invasion
AI systems require access to large datasets, which can be susceptible to breaches. For instance, personal information stored by social media platforms can be exploited by malicious actors.
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Loss of Control
As AI systems become more complex, their decision-making processes can become opaque and difficult to understand. This lack of transparency raises questions about who is accountable when AI makes incorrect or harmful decisions. Example: Autonomous Vehicles
AI-driven self-driving cars are equipped with complex algorithms to make split-second decisions on the road. In some cases, these decisions might not align with human intuition, making it challenging to predict their behavior. Existential Risks
Speculative concerns about AI's potential to outsmart humans and act in unintended ways have led some to fear the development of a "superintelligent" AI that could pose existential risks to humanity. Example: Superintelligent AI
While currently speculative, the concept of superintelligent AI raises concerns about its ability to surpass human intelligence and potentially act in ways that humans cannot predict or control.
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Striking a Balance: Navigating the AI Landscape As we stand at the crossroads of AI's evolution, it's essential to approach its development with a balanced perspective. The potential for AI to bring about positive changes is immense, but its unchecked growth could also lead to unintended consequences. Regulation and Ethics
Governments and organizations must collaborate to establish ethical guidelines and regulations for AI development and deployment. This involves ensuring transparency, fairness, and accountability in AI systems. Example: GDPR (General Data Protection Regulation)
The European Union's GDPR aims to protect individuals' privacy and give them control over their personal data. It sets guidelines for the ethical use of AI and data analytics. Reskilling and Education
Addressing job displacement requires investing in education and reskilling programs. By preparing
the workforce for AI-related changes, we can mitigate the negative impact on employment. Example: Reskilling Programs by Tech Companies
Companies like Microsoft and Google offer reskilling programs to help individuals acquire the skills needed for jobs in the digital age. These programs acknowledge the changing job landscape due to AI and automation. Human-AI Collaboration
Rather than viewing AI as a replacement for human capabilities, we should focus on its potential to augment and enhance human abilities. Collaboration between humans and AI can yield remarkable results. Example: IBM's Watson in Healthcare
Watson, IBM's AI system, collaborates with doctors to analyze medical data and suggest treatment options. Doctors make the final decisions, but Watson's insights aid in diagnosis and decision-making.
for AI development. Initiatives like the Partnership on AI involve stakeholders from academia, industry, and civil society.
Conclusion: Harnessing the AI Dualism Artificial Intelligence is a technology with the power to shape our future in profound ways. As the common man, understanding its potential for both good and harm is crucial. By embracing the benefits of AI while remaining vigilant about its pitfalls, we can navigate this evolving landscape and harness AI's potential for the betterment of society. The key lies in striking a delicate balance between the angelic promises and devilish challenges AI presents, ensuring that humanity remains in control of the technology it creates.
Transparency and Accountability
Developers should prioritize creating AI systems that are explainable and accountable. This helps build trust and ensures that AI's decisions align with human values. Example: Explainable AI
Researchers are working on creating AI systems that provide transparent explanations for their decisions. This is crucial for understanding and trusting the outputs of complex algorithms. Global Cooperation
The development of AI is a global endeavor. Collaboration among nations, researchers, and industries can help address challenges that transcend borders. Example: International Collaboration on AI Ethics
Countries around the world are coming together to discuss and establish common ethical guidelines 11 | Issue 41
LEVERAGING TRACTABLE AI TECHNOLOGIES FOR BUSINESS USE Understanding Your Solutions Before You Use Them By Sumer Sobti
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I
n 1698, Thomas Savery invented a suction pump to extract water from coal mines, using steam condensation. In 1712, Thomas Newcomen developed the piston, a precursor to the steam engine built by James Watt in 1764. These developments are considered the first industrial revolution, and signalled the advent of an era when machines began replacing human and animal effort. The setting up of factories and mass production assembly lines are said to be the second industrial revolution. Computers made their debut in the mid-20th century. This was the third industrial revolution, also a time when robotic manufacturing took its first tentative steps. Computers began to aid in design and manufacture, and analysed large volumes of data. As computer hardware and chips became more powerful, software marched in step, becoming increasingly sophisticated. Then a sweeping revolution in communication technology transformed information technology to a whole new level.
Industry 4.0 We are now in the middle of the fourth industrial revolution, the information age, with almost unlimited access to astounding computational ability and always-on high speed data and voice communication. Artificial Intelligence is the heart of this revolution. The next big thing in this era of course, is ChatGPT, OpenAI’s impressive Large Language Model (LLM) chatbot that uses natural language processing to answer questions and composes content on demand. LLMs are a disruptive deep learning technology. They combine huge volumes of information accessed from various sources, with clever machine learning techniques, and generate a degree of knowledge supremacy that was the stuff of science fiction. Deep learning models use neural networks and self-supervised learning paradigms. They take input text and then predict the
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next token (smallest text unit), eventually generating entire text sequences based on the previous tokens. As ‘learning’ models, they evolve with every instance of ‘training’ or logic assertion provided to them.
The Problem with LLMs Despite the impressive capability of deep neural network models, there are some problems. For one, deep learning models do not provide the basis for their outcomes. In neural networks, logic is a black box and the algorithm is blind-trained using large volumes of data. It is this repetitive training that sets the internal weights and parameters which function as the algorithm. No actual logic constructs are ever provided. Thus when a solution is generated, its logical basis remains unclear. LLMs also often give incorrect responses as they are built to accept training data without validation and lack the means to evaluate input data. This means that inherent errors and biases, or incompleteness of information is reflected in the output.
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There are other problems too. LLMs can find answers to almost any query under the sun, as they scan and scrape vast amounts of data from third party sources across the globe. These third parties do not automatically authorize the commercial use of their data. This technology approach therefore raises ethical concerns. But if LLMs are expected to seek consent before using publically available data, the paradigm will become quite unsustainable. Deep neural networks must be continuously retrained to ensure their embedded knowledge is fully current. This is an extremely data-hungry prospect. Assured access to huge volumes of data is now becoming increasingly difficult. Governments across the world are hardening their stance over perceived IPR violations and are unwilling to allow the untrammeled use of third party data with putative infringement of copyright laws. The consequence is the emergence of data protection regimes like the GDPR and India’s own Digital Personal Data Protection Act, 2023. Till there is greater clarity, the legality of deep learning tools lies in a grey zone.
What AI can do for Businesses Businesses must look for AI technologies that provide force multiplier effect, yet transparently explain how decisions are arrived at. Further, AI-based solutions work best only when they are custom-built for a specific business requirement. AI solutions created for one requirement simply cannot be used to solve another problem. Any attempt to do so will provide highly sub-optimal outcomes, if at all it works. An AI paradigm that provides decision-making solutions using multiple input parameters, is Multi-Criteria Decision Making (MCDM). This AI model records the various courses of action or alternatives available to solve a problem, as defined by the user. It then carries out comparative evaluation between alternatives to arrive at the best one. To enable comparisons, each alternative has measurable attributes, and the comparison itself is done on the basis of user-defined criteria.
etc. The criteria for assessment would include the need to minimise: cost of transit, cost of delay, probability of material loss through accident, through theft, etc. The MCDM solution provides the best option while also providing insights from every process instance (delivery). These can be recorded as cases, which can be further used to create Case-Based Learning solutions that facilitate intelligent storage of the lessons learnt, to create institutionalized memory, which can be referred to later by businesses. The use of Multi-Agent Systems (MAS) for planning and resource management, is another AI-based technology that is a viable business investment. MAS involves the creation of multiple
MCDM is ideal for Risk Assessment, a field that evaluates the potential risks of a business process or planned activity, so that the least risky option may be adopted. This requires domain expertise to model the risks associated with each course of action or possible method of executing a business process. There is also a need to identify the attributes the business process seeks to maximize. Risk assessment must be done for each course of action, under the current set of circumstances. MCDM logic engines are vastly superior to humans in solving such complex problems, once the user defines the attributes and the criteria accurately. Take a car production unit near Bangalore that wants to send its finished cars to retailers across North India. The cars can be sent by road in car-trailers (alternative 1), by train (alternative 2), or driven down (alternative 3). For such a problem, the MCDM reasoner is provided a set of weighted attributes for each option, e.g., delivery time, delivery cost per car, maximum number of cars transportable per day for each medium,
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decision-making agents. Each agent is assigned a goal, which it must try and fulfil within its ecosystem. Agents interact and ‘negotiate’ with each other to arrive at a consensus amongst themselves.
• Goal - Agent 1: Build flats only of size 2000 square feet (error margin 2%).
Why are multi-agent systems useful? In any business environment, there is an undeniable need to fulfill contradictory requirements to meet business goals. MAS handles the complexity and provides an unbiased approach to solve the planning problem. Once agent goals have been defined, negotiation ranges provided and goal primacies set (so that agents prioritize higher for more important goals), the AI-engine handles the complexity of decision-making. Every agent interactively negotiates with other agents using inter se priorities, till a kind of homeostasis or equilibrium is reached, which at least partially satisfies all the agents.
• Goal - Agent 3: Ensure ratio of built-up area to total area does not exceed 30%.
To illustrate how MAS works, we take the simplistic example of space optimization for urban planning, while planning a residential complex. An MAS agent is assigned for each of the undermentioned requirements, with goals assigned to them as under: Business Strategy E-Magazine | 16
• Goal - Agent 2: Build only four flats per floor, as all residents want corner flats.
• Goal - Agent 4: Build a Clubhouse of at least 15,000 square feet. • Goal - Agent 5: Build at least 400 flats for adequate return on investment. • Goal - Agent 6: Ensure Floor Space Index of 145% as per building laws (inviolable).
Clearly, these are all conflicting requirements, and can be settled only through some compromise in each individual goal, so as to achieve the larger optima. In complex planning problems, human endeavor often falls short when compared to well-designed AI solutions. For businesses that plan the movement of goods through multiple physical spaces
that are available only for limited time windows, AI-based Path Planning and Scheduling algorithms provide the most optimal solutions. Often complex business plans need to be changed to handle unforeseen failure or the sudden non-availability of planned-for resources. If the plan is already in motion, it can be a nightmare. AI-based Plan Repair algorithms help make changes to complex plans while minimizing the disruptive effect and limiting the adverse impact of the changes to the least number of entities within the plan ecosystem. Incremental Planning algorithms allow additions and extensions to existing plans, while minimising any potential adverse effects caused by the changes. AI technologies offer exponentially greater efficiency to solve complex business problems. But AI is resource-hungry. To leverage it, organisations must be prepared to invest in expert human capital. Business leaders must also ensure that the technologies they use to solve their problems transparently explain themselves, so that the ultimate control vests with business leaders, not with the technologies they use.
About Author Sumer Sobti works as a technology and business consultant. He has worked with the Centre for Artificial Intelligence & Robotics, Bangalore. His work on Net-Centric systems and Intelligent Systems design led to the definition of domain protocol frameworks for planning and decision supportproblems. He is also a qualified Software Test Manager, certified by the Standardisation Testing and Quality Certification Directorate, Ministry of Electronics and Information, Govt. of India. He currently lives and works in Bangalore.
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AI IN AGRICULTURE REVOLUTIONIZING THE FUTURE OF FARMING Summary The G20 Summit in India 2023 brought together significant economies to discuss global issues and promote a sustainable future. The G20 Leaders focused on six thematic priorities: sustainable development, financial inclusion, digital economy, climate change, agriculture,and reforms for women empowerment for socio-economic progress. They also achieved 100% consensus around the New Delhi Declaration, which reflects the collective vision of the G20 Leaders for a sustainable and equitable future.
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Introducing AI in Agriculture
AI-Powered Crop Monitoring
Agriculture has always been the foundation of human civilization, providing sustenance for our ever-growing population. However, traditional farming methods have often struggled with inefficiencies, resource wastage, and sustainability issues. The integration of Artificial Intelligence (AI) into agriculture has emerged as a trans-formative solution to address these challenges.
AI brings a new level of precision to crop monitoring. Drones equipped with AI systems can fly over fields, capturing high-resolution images and data. These images are then analyzed to identify areas of concern, such as signs of disease, pests, or nutrient deficiencies. With this early detection, farmers can take swift action to address issues, preventing crop loss and reducing the need for chemical treatments.
AI leverages advanced technologies such as machine learning, computer vision, and data analytic to enhance farming practices. Its problem-solving capabilities and data-driven insights offer new avenues for modern agriculture.
The Evolution of Agriculture Agriculture has come a long way since the days of manual labor and basic tools. The shift towards mechanization marked a significant milestone, improving productivity and reducing the strain on labor. AI is the next evolutionary leap in this journey, ushering in the era of smart farming. The Role of Artificial Intelligence
Artificial Intelligence encompasses a spectrum of technologies that work together to optimize agriculture. Machine learning algorithms analyze vast datasets to make predictions and offer insights. Computer vision enables machines to recognize and respond to visual data, while data analytic assists in decision-making. Precision Agriculture
Precision agriculture is one of the most compelling applications of AI in the field. It involves the use of AI-powered machinery and sensors to precisely manage resources such as fertilizers, pesticides, and irrigation. By tailoring these inputs to the specific needs of each area of a field, farmers can maximize crop yields while minimizing resource waste. This not only improves efficiency but also contributes to sustainable agriculture.
Enhanced Pest and Disease Management
AI plays a pivotal role in early pest and disease detection. By collecting data on factors like temperature, humidity, and plant health, AI algorithms can predict potential outbreaks. This proactive approach allows farmers to respond swiftly, often with targeted and environmentally friendly interventions. By reducing the reliance on chemical pesticides, AI contributes to sustainable farming practices. Automation in Farming
The integration of AI-powered automation has streamlined many farming tasks. Autonomous vehicles and robots can perform repetitive and physically demanding activities with remarkable precision. Whether it's planting, harvesting, or weeding, these machines save time and labor, making agriculture more efficient. Improved Water Management
Effective water management is crucial for agriculture, especially in regions facing water scarcity. AI algorithms process data from weather forecasts, soil sensors, and crop conditions to optimize irrigation. By providing just the right amount of water when and where it's needed, AI conserves this precious resource and reduces waste. AI in Livestock Farming
AI isn't limited to crops; it also benefits livestock farming. Facial recognition and health monitoring systems help farmers keep track of their ani-
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mals' well-being. Early detection of health issues and efficient feeding practices contribute to higher livestock productivity. Sustainable Agriculture Practices
AI actively promotes sustainable agricultural practices. By reducing resource wastage, optimizing input usage, and minimizing environmental impact, it aligns with the principles of responsible farming. This not only benefits the environment but also ensures the long-term viability of the industry.
Challenges and Concerns While the promise of AI in agriculture is vast, it comes with its share of challenges. The initial cost of adopting AI technology can be a barrier for some farmers. Additionally, there is a need for education and training to ensure that farmers can effectively use AI tools. Data security is also a concern, as sensitive agricultural data must be protected from cyber threats. Business Strategy E-Magazine | 20
1. Cost of Implementation: One of the foremost
challenges of implementing AI in agriculture is the initial cost. The adoption of AI technologies often requires significant investments in hardware, software, and specialized equipment. Small-scale farmers may find it especially challenging to acquire and maintain these systems. The question of how to make AI more accessible and cost-effective for all farmers remains a significant concern.
2. Education and Training: AI systems are powerful,
but they require users to understand how to harness their potential. Many farmers, especially those in remote or under-served regions, may lack the necessary knowledge and training to effectively operate AI-driven equipment and interpret the data they produce. Bridging this education gap is crucial to ensure that AI is utilized to its fullest potential.
3. Data Privacy and Security: Agriculture generates
vast amounts of data, including sensitive information about crops, livestock, and farm operations. Protecting this data from cyber threats and ensuring privacy is a paramount concern. As AI relies on data for decision-making, any breach of security could have severe consequences, including financial losses and compromised competitive advantages.
4. Compatibility and Integration: The agriculture
10. Environmental Concerns: While AI can contribute
5. Dependence on Connectivity: AI systems often
Live Illustration of AI in agriculture
sector is diverse, with a wide range of machinery and systems already in use. Integrating AI technologies with existing infrastructure can be a complex process. Ensuring that AI systems are compatible with older equipment and farm management software is a technical challenge that must be addressed.
require a reliable internet connection to function optimally. In rural areas with poor or no connectivity, this poses a significant challenge. Farmers in remote regions may find it difficult to access the real-time data and support that AI offers, limiting the benefits of these technologies.
6. Ethical Concerns: As AI becomes more integrat-
ed into agriculture, ethical concerns emerge. For instance, the use of AI for animal welfare and the potential consequences of advanced gene editing technologies raise questions about the ethical boundaries of AI in agriculture. Balancing technological advancement with ethical considerations is a complex issue.
7. Regulatory Hurdles: The regulatory environment
to sustainability in agriculture, there are environmental concerns related to its energy consumption and the use of AI-driven machinery. Finding environmentally friendly solutions and minimizing the carbon footprint of AI systems is a challenge that aligns with the broader goal of sustainable agriculture.
The implementation of AI in agriculture has gained significant momentum in recent years, and there are several live examples that showcase its practical applications. Here is a list of live examples where AI is being used in agriculture: 1. Blue River Technology's See & Spray: Blue River
Technology, a subsidiary of John Deere, has developed an AI-driven system that uses computer vision to identify and precisely target individual weeds. This technology reduces the need for herbicides, resulting in more efficient and sustainable farming.
for AI in agriculture is still evolving. Governments and regulatory bodies must create guidelines and standards to ensure the responsible and safe use of AI. Striking the right balance between promoting innovation and safeguarding consumer interests is a challenge that policymakers must navigate.
8. Data Quality and Reliability: AI systems depend
on high-quality and reliable data to make accurate predictions and recommendations. Inconsistent or inaccurate data can lead to flawed decision-making. Farmers need robust mechanisms to collect and maintain data quality, which can be demanding, particularly for small-scale operations.
9. Overcoming Resistance to Change: Tradition-
ally, farming has been deeply rooted in tradition. Convincing farmers to embrace AI and change long-established practices can be met with resistance. Demonstrating the clear benefits and the potential for increased productivity is crucial in overcoming this challenge.
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2. Agrobot's Strawberry-Picking Robot: Agrobot's
AI-powered robot is designed to pick ripe strawberries selectively. It uses machine learning algorithms to identify ripe fruit and pick them gently, reducing both labor costs and fruit waste.
3. Connecterra's Ida, the AI-Powered Cow Collar:
Ida is an AI-powered collar for cows that monitors their behavior and health. It uses machine learning to detect patterns in a cow's behavior, helping farmers identify when an individual cow is in heat, sick, or not eating properly.
4. FarmWise's Weeding Robot: FarmWise has de-
veloped a weeding robot that uses computer vision and machine learning to identify and remove weeds from crop fields. The robot can reduce the need for chemical herbicides and manual labor.
5. IBM's Watson Decision Platform for Agriculture: IBM's Watson Decision Platform for Agricul-
ture offers AI-driven solutions for farmers. It provides real-time weather data, soil information, and predictive analytic to help farmers make informed decisions about planting, harvesting, and resource management.
6. Gamaya's Crop Monitoring: Gamaya offers a
comprehensive crop monitoring solution that uses
Business Strategy E-Magazine | 22
hyper spectral imaging and AI to provide detailed insights into crop health, disease detection, and yield prediction. 7. AeroFarms' Vertical Farming: AeroFarms uses AI
to optimize the growth conditions for crops in vertical farming. AI-controlled lighting, temperature, and humidity adjustments help produce high-quality crops efficiently in indoor environments.
8. Taranis' Precision Agriculture Platform: Tara-
nis offers a precision agriculture platform that uses AI to analyze satellite and drone imagery. It helps farmers identify early signs of crop disease, pest infestations, and nutrient deficiencies, enabling timely intervention.
9. Sentera's FieldAgent: Sentera's FieldAgent is an
AI-driven software that provides detailed aerial imagery and analytics for precision agriculture. It helps farmers monitor crop health and make data-driven decisions to maximize yield. 10. Bosch's IoT-based Solutions: Bosch offers a range of AI-driven solutions for agriculture, including smart irrigation systems, environmental monitoring, and livestock tracking. These systems use sensors and AI to improve resource efficiency and animal welfare.
These live examples illustrate the diverse applications of AI in agriculture, from precision farming and pest control to livestock monitoring and sustainable practices. They represent a promising shift towards more efficient, sustainable, and data-driven farming practices.
The Future of AI in Agriculture The future of AI in agriculture is incredibly promising. As technology continues to advance and AI becomes more accessible, its role in farming will only expand. With even more sophisticated AI systems, the agricultural sector is poised for greater efficiency, productivity, and sustainability. In conclusion, AI in agriculture is a revolution that promises to transform the way we produce food. It's not merely a technological advancement but a necessity for addressing the challenges of food production, resource management, and environmental sustainability. As AI continues to evolve, it will empower farmers to feed the world's growing population while respecting the planet's limits.
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THE NEW BUSINESS CLIMATE: BANI
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ummary: The relevance and reference of the acronyms VUCA (violative, uncertain, complex, and ambiguous) and BANI (brittle, anxious, nonlinear, and incomprehensible) are associatedwith how organizations and individuals view the conditions under which they strategize to mitigate risk, foster change and solve problems. The frameworks provide a practical code for awareness and readiness for most contemporary organizations. Dr. Mythili Kolluru explores transitioning from the VUCA to the BANI construct in this article. Understanding the BANI construct will enable leaders to enter a new era of the business climate.
Introduction We are in a world that is delicate, uncontrollable, unpredictable, and impossible to comprehend. In 2016, James Cascio, an American anthropologist, author, and futurist, coined the term BANI. He observed the various crises the world was experiencing, like climate change, inequality, and global instability. He believed the VUCA was no longer appropriate to describe the rapidly evolving and transforming world. The BANI framework is a heightened degree of VUCA. It reflects a transformation that has been accelerated and strengthened with the COVID-19 Pandemic.
The framework The BANI framework encompasses the characteristics of our contemporary world. It states that the corporate systems may become fragile, employees may experience higher stress and anxiety levels, and the cause-and-effect relationships may become nonlinear. The complexities of the business world may be incomprehensible—the BANI business climate calls for a new leadership mindset and strategic thinking. Leaders need to develop creative and novel approaches to cope with external events. The BANI environment emphasizes the need for organizations to be flexible, adaptable, and innovative when addressing the
world's challenges. Intricacies, uncertainties, and swift transformations characterize our modern business climate.
The BANI framework: • Brittle: Organizations may outwardly appear reliable, flexible, and unbreakable even though they are on the verge of collapse. • Anxious:Heightened anxiety is a common feature of the new business model. Leaders and employees will face more anxiety due to the increase in uncertainties. • Nonlinear:Now, the business environment is not just VUCA but is characterized by nonlinearity. A nonlinear world is one in which there is a disconnection between cause and effect in time, proportion, and perception. In the corporate world, leaders will experience that the cause-and-effect relationship will become nonlinear. • Incomprehensible: The intricacies and complexities will make the world incomprehensible.
World Reflections of BANI Many developments on the world stage from 2016 till date are silently ushering in structural transformations that reveal the shift in business climate from VUCA to BANI. In 2016, the Brexit referendum and the subsequent negotiations were brittle, and the outcome was unpredictable. The rise of the populist movement and the election of Donald Trump reflects the anxiety in the world. Europe also saw a surge in the populist movement. The Syrian Civil War was unpredictable, and the subsequent refugee crisis was nonlinear due to its complexity, unpredictability, global impact, and ongoing nature. Even the nationalistsentiments on the rise in Europe were nonlinear and not directly due to the crisis. During this period, the world also experienced an erosion of trust in institutions. The rise in complexity resulted in an increased incidence of fake news. The Equifax breach in 2017,the Cambridge Analytical scan-
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dal,and the Marriott breach in 2018 demonstrate the need for better cybersecurity measures. The violations were caused by the organizations’ vulnerability in data privacy and security measures, which resulted in the loss of personal and confidential data of millions of consumers and other stakeholders.The brutal Syrian civil war was nearing its six-year mark, with 4,00,000 people killed and nearly 5 million driven away from their homes. The Zika outbreak in Brazil 2016 quickly spread to other parts of the world, prompting a global response. There was a heightened threat of terrorism with several terror attacks in the Manchester Arena bombing and the Christchurch Mosque shooting in 2017. The pandemic revealed the fragile nature of our systems. The supply chain disruption, shortage of goods, and economic downturn were evident features since the 2019 Pandemic.The pandemic and other crises like climate change, inequality, and global instability have familiarized anxiety. The pandemic also arrived with a solid potential to disrupt traditional industries. The world has witnessed a sharp rise inArtificial Intelligence (AI) and its applications in various industries, like facial recognition, voice assistance, and self-driving cars. The emergence of Blockchain technology also caught up with people with applications in cryptoBusiness Strategy E-Magazine | 26
currency and supply chain management. The rollout of 5G technology had the potential for faster Internet speed and increased connectivity with favorableimplications for many industries. The pandemic, rise of nationalism, climate change, and geopolitical shifts caused widespread anxiety, and people globally grappled with the new reality. The rise of Artificial Intelligence (AI),Blockchains, the Internet of Things (IOT), 5G, and other Industry 4.0 technologies disrupted traditional industries and made the world more nonlinear. The IPCC Climate Change 2023 report reflects a clear indication of the characteristics of BANI. Despite the frequent severe weather events, rising sea levels, and melting glaciers, the world remains brittle. Climate change impacts are complex and incomprehensible. The Russia-Ukraine tensions started much before the war of 2022; tensions between these countries resulted in conflict in 2014. In February 2022, Russia launched a full-scale invasion of Ukraine, which was internationally condemned, and many countries imposed sanctions against Russia and increased existing sanctions. The sanctions have caused economic damage to the EU economy, the collapse of the Russian ruble, and worsened the financial impact on Ukraine, significantly impact-
ing international trade, particularly Russia's trade patterns and the EU's economy.7thOctober 2023 saw the revival of old hostility between Israel and the GazaStrip of Palestine, with conflict escalating with both sides engaging in violent attacks. The ongoing conflict between Israel and Palestine is complex and has a long history. The recent escalation in violence has led to a growing humanitarian crisis and has raised concerns about the possibility of a full-scale war. The ongoing developments in the Middle East and the international community's reactionmake the geopolitical developments incomprehensible. The world we live in resonates with the characteristics of BANI, which is evident in the political, social, environmental, and economic happenings. The BANI framework or business climate calls for a new approach to cope with external development. It emphasizes the need for agility, adaptability, and innovative thinking in maneuvering the challenges of the modern world.
Strategies to survive and thrive in BANI Leaders must develop a new mindset and craft novel strategies to thrive in the new business world characterized by BANI features. 1. Organizations and individuals mustembrace uncertainty. They need to acceptuncertainty to be their constant business companion. Leaders must be able to take uncertainty and make decisions within this context. Businesses must prioritize having contingency plans and investing in risk management. 2. Collaboration will be the way to handle the complexities and challenges the BANI world poses. Fostering partnerships to solve problems will be more
productive. This may involve creating cross-functional teams or partnering with other businesses to achieve common goals. 3. The ability to adapt to change and stand up after adversity will be a critical factor in the BANI world. This may involve diversifying supply chains or investing in cybersecurity measures to protect against cyber threats to build resilient organizational systems. 4. Businesses can build strategic agility and increase their chances of success in the BANI business landscape. For example, they develop and seize opportunities, prioritize speed over perfection, conduct risk assessments, diversify and create redundancy, and embrace change to stay ahead of the curve and adapt to the changing needs of their customers and the market. 5. Transformations will no longer be an option but a necessity that organizations must embrace. Companies must focus on people, processes, innovation, and technology to create transformation road maps. For example, a company may need to pivot its business model or adopt new technologies to stay competitive. 6. Leaders must build the necessary capabilities to navigate and thrive in this environment, including communication, digital skills, strategic thinking, financial know-how, problem-solving, and more. 7. Promoting transparency is essential in the BANI world, where incomprehensibility is a defining characteristic. Businesses must be transparent in their operations and communications to enhance understanding and build trust. 8. Organizations must foster creativity and innovation. This can be achieved by promoting psychological capital and psychological safety, which encourage employees to take risks and think outside the box
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Conclusion The BANI environment is the new business climate characterized by brittle, anxious, nonlinear, and incomprehensible features where opportunity is entangled amid chaos. Leaders must change their mindsets, transform strategies, and adapt their organization to survive and thrive in this ever-changing business landscape. So, as we look deeper into geopolitics, business dynamics, and climate change, we understand how irregular and fragile the worldis becoming. I’m sure being aware has its merits in our world, but looking forward, when we traverse our uniquepaths, we need a heightened sense of world perception to navigate the ever-changing world.
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References Galloway, A. R. (2020). The Four Horsemen of the Apocalypse: Big Tech’s Antitrust Problem. New York: Prodigy Books.
Hamel, G. (2022). The BANI Framework: A New Way of Understanding the World. McKinsey & Company.
Hamel, G. (2018). The BANI Framework: Navigating the New World of Business. Harvard Business Review.
Hamel, G. (2022). The BANI Framework: A New Approach to Strategy in a World of Uncertainty. Strategy+Business.
Hamel, G. (2020). The BANI Framework: A Tool for Navigating Turbulent Times. Management Today.
Hamel, G. (2022). The BANI Framework: A New Tool for Navigating the Future. World Economic Forum.
Hamel, G. (2021). The BANI Framework: A New Language for Navigating the World. MIT Sloan Management Review.
Hamel, G. (2022). The BANI Framework: A New Way of Thinking About the Future. Harvard Business Review.
Hamel, G. (2021). The BANI Framework: A New Way of Thinking About the World. Forbes.
Hamel, G. (2022). The BANI Framework: A New Approach to Innovation in a World of Disruption. Innovation Leader.
Hamel, G. (2022). The BANI Framework: A Guide to Surviving and Thriving in a World of Disruption. Fast Company.
Hamel, G. (2022). The BANI Framework: A New Way of Understanding the Future. Business Insider.
Author Profile Dr. Mythili Kolluru is an experienced assistant professor at the Management & Marketing Department of CBFS, Oman. She is a corporate trainer and the CSO of Funkeyb, a London-based management consultancy firm. Dr. Kolluru has developed several strategic frameworks, including the strategic thinking wheel and the strategic career decision-making grid. She has supervised over 100 research students, and her research has been published in several top-ranked journals. Dr. Kolluru is a highly accomplished scholar and practitioner with an analytic insightinto strategy and business. She can be reached at professormythili@gmail.com
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AI - THE LATEST TECH GRACE
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I
n the fast-paced realm of technology, artificial intelligence (AI) has emerged as a trans formative force, revolutionizing industries and reshaping the way we interact with the world. The latest trends in AI are pushing boundaries, introducing breakthroughs that were once confined to the realm of science fiction. This article delves into the cutting-edge developments in AI, exploring how they are impacting various sectors and envisioning a future shaped by this remarkable technology.
The Evolution of AI AI, once a concept confined to academic discussions, has become an integral part of our daily lives. From virtual assistants like Siri and Alexa to recommendation systems on streaming platforms, AI's presence is undeniable. The latest strides in AI build upon its historical evolution, powered by advancements in machine learning, neural networks, and big data processing.
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Machine Learning Unleashed Machine learning (ML), a subset of AI, has seen unprecedented growth in recent years. ML algorithms allow machines to learn from data, enabling them to improve their performance over time without being explicitly programmed. Supervised, unsupervised, and reinforcement learning are the pillars of this progress. Supervised learning involves training AI models on labeled data, enabling them to make predictions or classifications. Unsupervised learning focuses on clustering and pattern recognition within unlabeled data. Reinforcement learning, inspired by behavioral psychology, involves training agents to make decisions through interactions with their environment, ultimately optimizing their actions.
Deep Learning and Neural Networks Deep learning, a subset of ML, has emerged as a driving force behind AI's latest achievements. Neural networks, inspired by the human brain's structure, are the backbone of deep learning. Convolutional Neural Networks (CNNs) excel in image and video analysis, while Recurrent Neural Networks (RNNs) excel in sequence data like text and speech.
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The integration of deep learning with other AI techniques has led to remarkable advancements in natural language processing (NLP), computer vision, and more. GANs (Generative Adversarial Networks), for instance, enable the generation of hyper-realistic images and have far-reaching implications in creative fields.
Natural Language Processing (NLP) NLP has transformed how we interact with machines. The latest breakthroughs have endowed machines with the ability to comprehend and generate human language, making chatbots, virtual assistants, and language translation systems more effective than ever. Key to NLP's advancement is the development of transformer-based models like GPT-3. These models, built on attention mechanisms, can understand context and nuances in language, enabling them to generate coherent and contextually relevant text. This technology has applications in content creation, customer service, and even aiding individuals with disabilities.
Computer Vision: Seeing Beyond Reality Computer vision, a field within AI, is enabling machines to interpret and understand visual information from the world around us. Through image recognition, object detection, and scene analysis, computer vision systems are augmenting various industries. Innovations like image segmentation allow computers to identify and classify specific objects within an image, with applications ranging from autonomous vehicles to medical imaging. Facial recognition, despite its controversial aspects, is being employed for authentication and security purposes, reshaping the way we access devices and secure physical spaces.
Ethical Considerations and Responsible AI As AI infiltrates deeper into our lives, ethical considerations become increasingly crucial. Concerns surrounding bias, privacy, transparency, and accountability require urgent attention. The quest for AI that is not only intelligent but also ethical has given rise to the concept of responsible AI. Explainable AI (XAI) aims to make AI's decision-making processes transparent and comprehensible to humans. This is crucial in critical domains like healthcare, where the ability to understand an AI's reasoning is paramount. Additionally, organizations and policymakers are working together to establish guidelines and regulations that ensure AI technologies are developed and deployed ethically.
AI in Healthcare: Revolutionizing Patient Care The healthcare sector is undergoing a significant transformation due to AI. With the ability to analyze vast amounts of medical data, AI systems are aiding in disease diagnosis, drug discovery, and treatment optimization. 33 | Issue 41
Medical imaging, a prime example, is being enhanced by AI algorithms that detect anomalies in X-rays, MRI, and CT scans. These algorithms provide more accurate results, enabling earlier detection of diseases and reducing the burden on healthcare professionals. AI-powered predictive analytic are also being used to foresee patient deterioration, allowing for timely intervention and improved patient outcomes. Furthermore, the potential of AI in drug discovery holds immense promise. The process of identifying and developing new drugs can be lengthy and costly. AI models are capable of sifting through massive datasets, predicting potential drug candidates, and simulating how they interact with biological systems. This accelerates the drug discovery process, potentially leading to more efficient treatments for a variety of ailments.
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AI in Educational Evolution Artificial Intelligence (AI) has ushered in a new era of education, redefining how students learn and educators teach. Through personalized learning, AI tailors educational content to individual students, accommodating their unique learning styles and paces. Adaptive learning platforms analyze students' progress, adjusting difficulty levels to optimize engagement and understanding. AI-generated content and automated assessment tools streamline the educational process, freeing up educators to focus on deeper interactions with students. Administrative tasks are expedited through AI-driven scheduling and resource allocation, while data analytics enable informed decision-making for educators and institutions. Despite the benefits, ethical considerations regarding bias, privacy, and the evolving role of educators must be addressed. As AI continues to revolutionize education, responsible implementation and a harmonious blend of AI and human guidance are essential to cultivate a future generation of empowered learners.
Automation and Industry 4.0 AI's impact on industries is emblematic of the fourth industrial revolution, commonly referred to as Industry 4.0. This revolution is characterized by the integration of smart technologies, automation, and data exchange in manufacturing processes. Robotic process automation (RPA) is streamlining repetitive tasks, reducing errors, and increasing efficiency in various industries. Predictive maintenance, powered by AI, anticipates machinery failures, preventing costly downtimes and optimizing maintenance schedules. Additionally, AI-driven supply chain optimization is revolutionizing inventory management, demand forecasting, and logistics planning.
The Road Ahead Looking forward, the trajectory of AI is both exciting and challenging. AI systems are like-
ly to evolve towards more context-aware and emotionally intelligent entities. They will understand not just the words spoken but also the subtle nuances of tone and expression, enabling more natural and meaningful interactions between humans and machines. Interdisciplinary collaboration will be a driving force in AI's future. The fusion of AI with fields like neuroscience, psychology, and linguistics will contribute to a deeper understanding of human cognition and behavior, enabling AI to better simulate human-like intelligence. Moreover, as AI becomes more embedded in our lives, the need for comprehensive education and training in AI literacy becomes paramount. Understanding AI's capabilities and limitations is crucial for individuals to make informed decisions about its usage, both in personal and professional contexts.
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Conclusion AI's latest technological grace has propelled us into a future where machines are more than tools; they are intelligent partners in our daily lives. From healthcare to manufacturing, from language translation to art creation, AI's touch is evident. The fusion of machine learning, deep learning, NLP, computer vision, and ethics has led to unprecedented advancements, while ethical considerations ensure that these technologies serve humanity's best interests. As we stand at the cusp of this AI-driven era, we must continue to foster innovation while upholding ethics, responsibility, and human values. The journey of AI is not merely about the technology itself; it's about how we harness its potential to create a more intelligent, efficient, and compassionate world.
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Travel Diaries
Travel to Varanasi Celebrated as the oldest living city in the World, Kashi is the confluence of modernity and traditions that brings Hinduism alive. The mystique grandeur and rich breathing history of the city encompasses some religious epochs that have loud stories to scream out offering all the visitors the most immersive experience. The city has its own charms speaking through the narrow lanes, spirituality of the ghats and most importantly the delectable cuisine. From hand knotted carpets to glass bangles, the fabulous sweets to the epic Benarasi saree - Welcome to India’s religious heritage premier - none other than Kashi.
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Knowing the roots of the religious culture in India is not possible without paying a visit to Varanasi. The numerous devout temples, transcending beauty of the ghats and most importantly the iconic Ganga aarti will surely make your trip worth enough. The best time to visit Varanasi is during the winter season which extends from November to February. Though the temperatures can go well below 5 degrees celsius, it is still the best time to explore Varanasi in the best possible way.
Most Fascinating Activities in Varanasi While in Varanasi,you simply cannot miss out on these activities: Temple Visits
The city of Varanasi smells of the aroma of incense sticks in every nook and corner. With a host of temples adorning the auspicious city, it is one of the most perfect places in India for a cultural enroute. Visiting the various temples and exploring
the local religious culture will give you a dive into ancient India and help create unmatched memories for the rest of your life. The Kaal Bhairav Mandirr, Maa Annapurna Temple, Durga Kund Mandir, Sankat Mochan Mandir and Vishalakshi temple are some of the most notable nes. Morning Boat Ride
The view of Varanasi across the Ganges on a boat is perhaps the most enchanting site one can ever witness in India. Simply access a boat during the sunrise time that is between 5.30 a.m to 8.00 a.m, and experience the majestic beauty of the ghats, religious practices and the vibrance of livelihood. The boat rides are quite cheap and it gets even economical when you travel in groups. Evening Aarti
The spectacular sight of evening aarti at the Varanasi ghat where numerous priests chant the holy mantra offering their prayers to the Ganges and the Kashi Vishwanath almighty holding the gigantic brass lamps. Even the most expensive cameras may not be able to capture the complete essence of the scene.
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Ramnagar Fort Visit
If you want to experience the sheer architectural excellence of the region and indulge in the marvel of the past era, then your visit to the Ramnagar fort is a must. By paying just 15INR for each adult and 10 INR, you can enter the fort and enjoy the historical beauty. It was constructed back in the year 1750 by the famous ruler Raja Balwant Singh. Holy Ganges Dip
For any traditional Hindu who believes in salvation, the Ganges (according to popular legends) is supposed to wash away their sins. As you take a dip in the river, you will find plenty of people doing so and people describe that there is a different kind of peace and satisfaction in the same.
Food in Varanasi
For an awesome flavorsome trip, here are some of the most delectable food items of Varanasi, you simply cannot afford to miss: • Banarasi Thandai / Lassi : The rich creamy texture of pure milk based thandai is going to soothe your heart • Banarasi Rabdi : Thick textured Rabdi to sway you and fix your mood no matter what • Kachori and Sabzi : The perfect breakfast combo to kick start the best day in Varanasi • Tamatar Chaat : One of a kind chatpata snackings to boost your energy while travel • Banarasi Paan : The globally renowned meetha paan of Banaras will find a way down to your soul
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Must-Visit Places in Varanasi The must visit places in Varanasi could actually encompass a billion places, but let’s focus on the ones that are mostly people’s favorites: Dashashwamedh Ghat
It is the place by the holy Ganges where Lord Brahma had sacrificed Dash Ashwas or 10 horses. This place is an awesome sight for the visitors and plenty of folklores revolve around the same. This is the center of the grand holy aarti of Varanasi. Take a boat ride early in the morning or late evening to witness the grandeur of this beautiful place and do not forget to collect snaps for a lifetime. Kashi Vishwanath Temple
The brand ambassador of Kashi or modern day Varanasi is none other than the majestic Kashi Vishwanatha temple. It has one of the most auspicious of the twelve shiva Jyotirlingas. The temple is a true and pristine reminiscence of the authentic Hindu vibes. The architectural beauty of the temple is also unmatched - perfect visit for offering decorated prayers and also to delve into Hindu religious vibes with your family.
Banaras Hindu University
The campus of BHU itself is such an iconic destination that none would leave Varanasi without paying a visit to this one. The university campus portrays a beautiful conjunction of serenity and educational vibes. With the Bharat Kala Bhavan Museum featuring historic texts, sculptures and texts - it is a must visit while in Varanasi’ Sarnath
Great place to visit with your family. Lord Budhha is said to have delivered his first sermon in this place after attaining enlightenment. The place features a calm and cozy environment with beautiful natural scenes that are ideal for a family visit. You will truly enjoy psychological peace at this place. Varanasi is an extremely safe place to visit and is definitely worth a family trip. 2 to 3 days are enough to plan a Varanasi trip. Some of the best relics that you can bring back home from Varanasi are - Banarasi silk sarees, scented perfumes, antiques and sculptures, glass beads and much more. Tour packages can be beneficial but it is possible to curate one for yourself with help of the locals. Varanasi is a great tourist destination with welcoming vibes - perfect for your next holiday bucket list. 41 | Issue 41
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ASTRO Astrology Report for November 2023 November is the eleventh month of the calendar. The penultimate month has lots in store for almost all the zodiac signs. It is a great month for goal setting and also pursuing dreams and focusing on aims. The perfect time to waive the flag for any activity and also expect the unexpected results. November is full of precious joys and moments of happiness but the only restraint is that you need to make some informed choices and decisions during this month to make your life better. There may be multiple uncertainties that will come along the way but November will actually give you enough energy to overcome them and move forward. The position of the planets Mercury and Venus will assist you in making more informed choices and better decisions at your workplace. The first week of the month may be somewhat disturbing but the rest of the month will be definitely smoother. This month is a perfect time to build new relationships and also enhance the compatibility with your partner. The finance horoscope also seems to portray a steep upshoot however, stay away from risky investments. You can expect improvement in your physical and mental health during this month. Venus and Sun will be highly influential on your monthly horoscope in November. You should think before making any decision because it could have long term effects on your life. Relationship graph will not be smooth and will depict several ups and downs. The best way to maintain peace at home and work is to create a harmonious relationship with your partner. There will be certain financial issues that might stem out as a result of risky investments. With favorable stellar positions, your career horoscope has some great news on the way. Hold on with your career goals and never give up your dreams.
This November you need an extra dose of patience because life may make you stuck at one single point. You will get tremendous help from your friends and loved ones, so believe in them and their support. Be more careful about establishing bonds with people as it could impact your life in various ways. The love horoscope is great and will bring in something truly exciting for you. There might be some uncertainties in the financial positions and you may also struggle to fulfill your career goals. Your health will be perfect during this time.
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ASTRO
Great opportunities await the Cancerians during this month. You can explore new opportunities that will help you know more about yourself in both personal and professional spheres. During the second half of the month, you may face certain difficulties in your relationship, but it can be handled with care. You can expect some great finance results during this month and even the riskiest investment will yield profits. It is a great time to streamline your business and make some remarkable finance decisions. You will finally experience some great outcomes from your professional sphere during this month. As per health horoscope - it is going to be great with a proper routine.
Learn to face your problems instead of cribbing about them. November will put your patience to test. There will be progress but the consistency will be disrupted if you cannot keep it up. The problems will fade out as the month progresses but you have to learn to tackle them. The love life will become better in the first week of the month and cutting out on negativities by focussing on the good parts of your partner will definitely make it easier. The career horoscope isnt promising but you must keep up with the efforts.
With the change in planetary positions, your sign will experience the incoming of multiple opportunities. There will be some difficulty along the way but help from friends will help greatly to overcome the same. November calls for proper planning so that some great results can come along. There will be several problems in the relationship but you cannot afford to give up. Simply move forward with the flow and avoid holding grudges against each other. The financial prospects seem to be very bright.
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ASTRO
The month is going to be quite problematic for you due to the planetary position combination of the Mercury and Sun. You need to be optimistic and have the courage to move forward in your life. Love life may seem screwed at times but with the help of positivity and optimism, you can overcome the hurdles. Plan for vacations with your partner to make things work out better. Make careful decisions and stay away from risky investments. Maintain good workplace relationships to get constant support from them. There will be great improvement in terms of health. Focus on your present situation and practice some mindful practices like meditation to improve your mental health.
Some negative energy from Mars, Mercury and Sun will influence your life especially in the second half of the month. Trust your instincts - the positive energy from Saturn will influence your life in the right direction. There can be some problems between couples but there are possibilities of overcoming them. No great news in terms of Finance. Expect some great news when it comes to promotions. Relationship problems are not that prominent. If you are looking for a job switch, it is a perfect time.
Witness great progress towards your much deemed goals during this month. The planetary positions will help you achieve the goals in life and also overcome any hurdles that might come along. There will be some problems in your love life but you can even overcome them under the positive influence of Venus. There can be a degree of irritability and intolerance in your relationship but stay cool and confident with your mind. November will be a great month for your finances and for achieving your professional goals. Maintaining productivity at work is vital. You will also see a rapid improvement in your ailments. Keep on reassuring yourself to get better with life.
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ASTRO
You may witness slow progress but it will be steady. The planetary combinations of Sun, Mars and Venus will help you overcome them. So,you will regain the confidence to make life better again. It is the right time to overcome all past issues with your partner and start something new in life with a renewed boost of positivity. Your finance column seems to be great this month. However, you must always prioritize being practical over being emotional. The good news is that even the most riskiest and crazy investments that you have made will bring in good results. Maintain great relationships with your colleagues.
The start of the month will be difficult, but as the month proceeds, there will be less hurdles and more positivity around. Your long stagnant love life will gain some degree of flexibility in this month and finally start getting better with time. Finance horoscope is at peak and you can expect some fabulous monetary gains. Workplace dynamics will be great and even if you are into business, this is just the right time to expand your business and make some switches. Try to be more mindful of your problems and take up a logical approach towards the solution.
Believe in the mantra that there will be problems but you can face it confidently. Make certain necessary compromises to work better in life and to achieve a state of harmony and peaceful balance. The work life and relationship balance may be hard to develop especially towards the later half of the month. Your finance horoscope does not seem to be great during the month but patience will pay off well. Sometimes you may not get the expected outcomes as you desire but remember the results are on their way.
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