Data-Driven decision making in agriculture and business: The role of advanced analytics

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(7), P. 1565 - 1575

Published: July 7, 2024

Advanced analytics has revolutionized decision-making processes in agriculture and business by harnessing data-driven insights to optimize operations, manage risks, drive innovation. This paper explores the transformative role of advanced these sectors, highlighting key benefits, challenges, future directions. In agriculture, enables precision farming integrating AI, IoT sensors, satellite imagery. Predictive models forecast crop yields, irrigation, enhance soil management practices, improving productivity sustainability. Similarly, supports strategic analyzing consumer behavior, predicting market trends, optimizing supply chain operations. However, adopting faces challenges such as data quality, technical expertise, cost constraints, ethical considerations. Addressing requires investments infrastructure, talent development, regulatory compliance ensure secure usage. Emerging trends include AI-driven automation, blockchain for transparency, augmented democratizing access. Recommendations stakeholders investing capabilities, fostering collaborative partnerships, promoting a culture decision making. conclusion, offers profound opportunities efficiency, inform making, sustainable growth business. Embracing technologies is essential organizations seeking thrive economy. Keywords: Analytics, Precision Farming, Data-driven Decision Making, Business Intelligence.

Language: Английский

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Next-Generation strategies to combat antimicrobial resistance: Integrating genomics, CRISPR, and novel therapeutics for effective treatment

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(7), P. 2284 - 2303

Published: July 24, 2024

Antimicrobial resistance (AMR) poses a significant threat to global public health, necessitating innovative strategies combat this escalating issue. This review outlines next-generation approaches integrating genomics, CRISPR technology, and novel therapeutics effectively address AMR. Genomic techniques enable comprehensive understanding of the genetic mechanisms underpinning resistance, facilitating development targeted interventions. By sequencing genomes resistant pathogens, researchers can identify genes, track their spread, predict emerging patterns. CRISPR-Cas systems offer revolutionary tool for combating AMR through precise genome editing. technology disrupt restore antibiotic sensitivity, develop bacteriophage therapies that selectively target bacteria. Moreover, CRISPR-based diagnostics rapid, accurate detection strains, enhancing infection control measures. The advent therapeutics, such as antimicrobial peptides, therapy, synthetic biology-derived compounds, provides alternative treatment options. These bypass traditional exhibit efficacy against multi-drug organisms. Additionally, artificial intelligence (AI) machine learning with genomics accelerate discovery new antibiotics trends, optimizing regimens. Implementing these requires robust collaboration, regulatory frameworks, investment in research development. combining CRISPR, we create multifaceted approach overcome AMR, ensuring effective treatments safeguarding health. integration represents paradigm shift strategy, offering hope future where infections be managed treated. Keywords: Integrating Genomics, Resistance, Therapeutic

Language: Английский

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Strategic financial decision-making in sustainable energy investments: Leveraging big data for maximum impact

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(6), P. 1982 - 1996

Published: June 24, 2024

In the context of escalating environmental concerns and transition towards a greener economy, sustainable energy investments have emerged as pivotal area for financial growth innovation. This paper outlines strategic framework decision-making in investments, emphasizing transformative role big data. By integrating data analytics into investment process, stakeholders can enhance market analysis, risk assessment, performance monitoring, predictive modeling, leading to more informed effective strategies. The delves various sources, analytical tools, technologies that facilitate collection, processing, interpretation vast amounts information. Additionally, it presents case studies illustrating successful applications solar wind projects, highlighting best practices common challenges. discussion extends future trends, including advancements artificial intelligence machine learning, which are poised further revolutionize sector. concludes with recommendations developing data-driven approach, building robust infrastructures, fostering culture continuous learning adaptation. leveraging data, investors maximize impact their drive growth, contribute global transition. Keywords: Sustainable Energy Investments, Big Data Analytics, Strategic Financial Decision-Making, Market Analysis, Risk Assessment, Predictive Modeling.

Language: Английский

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Product strategy development and financial modeling in AI and Agritech Start-ups

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(7), P. 1178 - 1190

Published: July 7, 2024

This paper explores the intricate dynamics of product strategy development and financial modeling within burgeoning fields AI agritech start-ups. It begins by delineating stages development—from idea generation market research to launch scaling—emphasizing customer-centricity, innovation, collaborative partnerships as pivotal drivers success. Financial techniques, ranging from basic revenue cost structures advanced scenario analysis risk mitigation, are examined for their role in guiding strategic decision-making ensuring sustainability. In sector, rapid advancements machine learning data analytics reshaping industries through intelligent automation predictive insights. Agritech, meanwhile, leverages technology optimize agricultural processes, enhance productivity, promote sustainable practices amid global challenges. Both sectors share synergies integrating technologies innovate offerings performance, albeit facing distinct challenges such regulatory compliance adoption. Practical examples illustrate how start-ups apply these insights refine strategies models, enhancing competitiveness scalability. The implications practice underscore importance adapting dynamics, leveraging technological innovations, fostering collaborations drive growth innovation. Keywords: AI, Product Strategy Development, Modeling, Start-Ups

Language: Английский

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Strengthening corporate governance and financial compliance: Enhancing accountability and transparency

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1597 - 1616

Published: Aug. 31, 2024

In today's complex business landscape, robust corporate governance and financial compliance are essential for maintaining organizational integrity, accountability, transparency. This review examines the key components strategies necessary to enhance these frameworks, ensuring sustainable success stakeholder trust. Corporate encompasses regulatory compliance, risk management, ethical conduct, engagement. Adherence laws regulations, such as Sarbanes-Oxley Act (SOX) General Data Protection Regulation (GDPR), is foundational in minimizing legal risks safeguarding reputation. Effective management involves identifying, assessing, mitigating potential threats an organization’s health operational integrity through strong internal controls regular audits. Promoting conduct within organizations crucial trust Establishing codes of guidelines, whistleblower protections fosters a culture integrity. Transparent communication engagement ensure that activities align with interests expectations. Enhancing accountability transparency several strategies. Strong board oversight independence, characterized by diverse skilled members, balanced objective decision-making. Regular external audits verify accuracy identifying areas improvement. Leveraging technology data analytics pivotal modern efforts. Technologies like blockchain, artificial intelligence (AI), machine learning automate processes, improve accuracy, provide real-time insights into performance management. reporting disclosure practices, adhering standards International Financial Reporting Standards (IFRS), further Continuous training education employees members on principles, requirements, vital fostering accountability. Strengthening fundamental enhancing By adopting comprehensive leveraging technology, promoting can build trust, mitigate risks, growth dynamic environment. Keywords: Governance, Global Corporations, Harmonization.

Language: Английский

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Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1434 - 1452

Published: June 14, 2024

Driving the transition to sustainable energy is a critical global imperative, and financial innovation plays pivotal role in accelerating this process. This paper examines intersection of innovation, big data, Environmental, Social, Governance (ESG) metrics advancing transition. By harnessing power data integrating ESG considerations into investment decisions, institutions can drive meaningful change towards more future. The begins by exploring concept transition, highlighting its importance, drivers, challenges. It then delves discussing examples opportunities it presents for driving Subsequently, significance understanding consumption patterns optimizing efficiency, along with influencing decisions corporate behavior. emphasized, focus on their synergistic potential investments informing decision-making processes. Case studies are presented illustrate successful applications sector. Finally, discusses challenges future directions, including regulatory considerations, technological advancements, collaboration. concludes underscoring importance continued calls collective action Keywords: Energy Transition, Financial Innovation, Big Data, Metrics, Sustainability, Investment Decisions, Sustainable Energy, Renewable Climate Change

Language: Английский

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Strategic risk management in financial institutions: Ensuring robust regulatory compliance

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1582 - 1596

Published: Aug. 31, 2024

Strategic risk management in financial institutions is a critical component for ensuring robust regulatory compliance and maintaining stability. This review explores the multifaceted nature of strategic its importance dynamic landscape sector. It delves into fundamental components management, including identification, assessment, mitigation, monitoring, highlighting how these processes help navigate complexities requirements. The discussion encompasses various types risks faced by institutions, such as credit, market, operational, liquidity, risks, illustrating need comprehensive frameworks. also reviews key frameworks, Basel III, Dodd-Frank Act, guidelines from European Banking Authority, emphasizing their impact on capital requirements, liquidity standards, governance expectations. A framework integrates efforts with business strategy, that are not only adhering to mandates but aligning appetite tolerance objectives. role technology, particularly data analytics, real-time cybersecurity, examined crucial enabler effective compliance. Best practices enhancing outlined, continuous regular audits, scenario analysis. Challenges evolving regulations, product complexity, globalization addressed, recommendations adaptive strategies industry collaboration. Through case studies, provides insights successful implementations lessons learned failures. underscores fortifying suggests future trends, advanced AI machine learning, which could further revolutionize approach institutions. Keywords: Risk, Financial Institution, Regulatory, Compliance

Language: Английский

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Challenges and Limitations of AI in Conservation

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 297 - 340

Published: Jan. 10, 2025

This research explores the transformative role of Artificial Intelligence (AI) in conservation and challenges it faces implementation. AI addresses critical environmental issues such as climate change, habitat destruction, poaching by analyzing large datasets identifying patterns that may elude human detection. It automates data collection, enabling faster, data-driven decision-making. Key innovations include machine learning for species identification, drones monitoring, predictive analytics to prevent poaching. Combined with remote sensing computer vision, enhances wildlife tracking monitoring. However, quality, accessibility, “black box” nature models present hurdles, especially regions. Ethical concerns, including privacy misuse, emphasize importance informed consent. Emerging trends integration wearable technology blockchain are also discussed. Cross-sector collaboration is crucial ensuring AI's ethical sustainable application.

Language: Английский

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Implementations of AI technology and profit-sharing contract for sustainability development and customer experience improvement: A differential game approach

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126920 - 126920

Published: March 1, 2025

Language: Английский

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AI-Driven Environmental Protection Through Corporate Social Responsibility (CSR) Activities

Practice, progress, and proficiency in sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 233 - 260

Published: Jan. 31, 2025

The study is centered on the convergence of AI and corporate social responsibility (CSR) to promote environmental conservation, focusing how can bolster CSR efforts tackle issues like climate change, resource depletion, biodiversity loss. It indicates incorporating artificial intelligence into sustainability agendas transmutes way companies environmental, social, governance concerns discusses transformative potential AI-driven solutions that corporations integrate as part their strategies. This chapter explores historical development from philanthropy-focused initiatives a holistic approach includes economic, sustainability; this shift represents growing recognition businesses must address global impacts operations. primary objective explore current applications (AI) in initiatives, particularly those focused protection.

Language: Английский

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