Large Language Models (LLMs) for Financial Sentiment Analysis and Market Forecasting
Springer
November 04, 2025
Financial markets are always volatile and do not depend on a single macro-economic indicator or economic data but on a whole range of factors, primarily events related to government, geopolitical issues, or corporate earnings, as well as investor sentiment. Unlike traditional quantitative models like time series and econometric models, financial text data is very complex, and most of these models are not suitable for capturing such complexities. Large Language Mod- els (LLMs) are a game changer that has brought forth the effective use of NLP techniques to extract meaning from financial news, earnings reports, and social media sentiments. In this study, we test the efficacy of LLMs (Llama3, Gemma2, RoBERTa) in performing financial segment evaluation and financial market prediction. To improve sentiment classification accuracy, the structured methodology employed consists of data preprocessing, tokenization, and fine- tuning using QLoRA. According to experimental results, Llama3 performs better than other models, achieving an accuracy of 86.1%, RoBERTa attains 85.9%, and Gemma2 gets 84.4%. The study demonstrates that LLMs can effectively capture the sentiment-based market movements however, the challenge lies in the interpretability of the model, removal of the model bias, and performing inference in real time. The study findings further indicate that LLMs look very promising to use in financial forecasting, outperforming conventional models on predicting financial outcomes.
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Tags: AGI, Digital Transformation, FinTech
Creativity and Innovation with Artificial General Intelligence: Designing Systems that Generate Novel Ideas
IEEE
November 04, 2025
The combination of creativity and innovation is something that has always seemed to be stamped exclusively for humans — until recently, with the advances in Artificial General Intelligence (AGI). In this paper, a novel hybrid AI model involving combining Generative Adversarial Networks (GANs) and Efficient- NetB3 for increasing machine-driven creativity is presented. The model generates diverse artistic samples using GAN-based data augmentation, and can still per- form accurate classification of artistic styles using EfficientNetB3. The approach was trained on the WikiArt dataset of 80,020 painted digitizations over 27 artistic styles. The performance of the hybrid model is experimentally shown to achieve a classification accuracy of 92.85% and exceeds the performance of existing AI- driven creative systems. The work presented in this research suggests that AI may be used to generate original artistic ideas, and it is joined by the larger discursive project surrounding AGI and creativity. Future work includes applying machine-generated creativity to other domains such as music, literature, and design, as well as assessing the novelty of machine-generated creativity.
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Tags: Agentic AI, Digital Transformation, IT Leadership
Five Myths About AI in Payments- Debunking common misconceptions about AI’s role in fintech innovation
Linkedin
September 14, 2025
Artificial Intelligence (AI) is reshaping the payments industry from fraud detection to customer personalization, but with innovation comes misconceptions. Many narratives around AI in fintech are often exaggerated, misunderstood, or even misleading. In this newsletter, we cut through the noise and address five of the most common myths about AI in payments.
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Tags: Agentic AI, FinTech, Leadership
Developing Machine Learning Models for Real-Time Fraud Detection in Online Transactions
IEEE
August 12, 2025
This research discusses the application of machine learning (ML) models in real-time fraud detection in online transactions, replacing the traditional rule-based system with the changing nature of fraud techniques such as account takeover, phishing, and card-not-present fraud. Leveraging supervised (e.g., Support Vector Machines, Neural Networks, Random Forest) and unsupervised (e.g., clustering, anomaly detection) techniques, the study employs public and private transaction data sets to evaluate model performance in terms of key metrics including precision, recall, F1-score, and AUC-ROC. The study highlights the essentiality of feature engineering—integrating domain knowledge features such as device fingerprinting and IP geolocation—and examines real-time deployment through streaming data pipelines to achieve low-latency decision making. A study of hybrid models that integrate supervised and unsupervised methods is also proposed to address class imbalance problems. Experimental results show that ensemble and deep learning methods substantially minimize false positives while achieving high detection rates, thus presenting an adaptive and scalable solution for addressing fraud risks in online transactions.
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Tags: FinTech, IT Leadership
Cloud Security Management: Advanced AI Techniques for Anomaly Detection and Response Automation
IEEE
August 12, 2025
With increasing scale, complexity, and dynamic nature of threats in the cloud, robust security is emerging as a major concern as more and more companies are moving to cloud infrastructures. These dynamic issues cannot be solved properly by traditional security solutions, thus artificial intelligence-based anomaly detection and automated response are required. Massive volumes of data are screened by AI-based models to detect malware, DDoS attacks, unauthorized access, and newly found vulnerabilities, thus initiating automated responses to reduce potential risk. Supervised learning can identify known threats, while unsupervised learning detects new attack patterns, providing proactive security adjustment. In addition, self-healing security systems, based on reinforcement learning, adapt their detection in real time by modeling attack cases and dynamically adjusting security practices. Data quality, AI interpretability, and adversarial threats are, however, challenges that need to be overcome to ensure robust deployment. Hybrid AI-human teams are needed to ensure context-aware decision-making in security processes. Case studies in the real world confirm the effectiveness of AI-based security products in minimizing response times to incidents, enhancing risk analysis, and enhancing cloud security resilience. The study emphasizes that AI adoption in cloud security is not only a good idea but a necessity in order to counter more advanced cyber-attacks.
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Tags: AGI, Cloud, FinTech
Green Algorithms For A Sustainable Future Reducing The Carbon Footprint Of AI And Big Data
International Journal of Environmental Sciences
July 26, 2025
he compounding growth of Artificial Intelligence (AI) and Big Data analytics has caused an unequaled hunger of computing assets to emerge that has is causing a huge elevation in the utilization of energy and carbon emissions across the globe. Though all of these technologies have brought about revolutionary solutions to the various sectors, their impact on the environment is increasingly becoming a thing of concern. The paper addresses the concepts and application of green algorithms which are energy efficient computational algorithm and are less harmful on the environment. Through the lifecycle of AI models and big data processing pipelines, we can single out the sources of energy wastage that are critical, and the ways of enhancing sustainability. In comparison we will show through comparative analysis how the model architecture optimization, data center management and training practices can be made to reduce carbon emission in a significant way without affecting the performance. The findings support the necessity to consider the principle of sustainability as an essential feature of designing such AI and data-intensive systems in the future.
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Tags: Agentic AI, Big Data, FinTech
Analyzing Corporate Social Responsibility (CSR) Practices and Ethical Leadership in Promoting Sustainable Business: A Structural Equation Modelling Approach
Engineered Science
July 23, 2025
This study investigates the pivotal role of Corporate Social Responsibility (CSR) practices and ethical leadership in promoting sustainable business development across diverse regions of India, specifically focusing on Goa, Kerala, and Gujarat. Employing a quantitative approach, data was collected from a sample of 300 respondents through a structured questionnaire using a five-point Likert scale. The survey assessed perceptions of CSR initiatives, the influence of ethical leadership, and their combined effect on sustainability outcomes within the regional business landscape. To analyze the data, Partial Least Squares Structural Equation Modeling (PLS-SEM) was conducted using Smart PLS software, enabling the evaluation of complex relationships and the validation of hypotheses. The findings reveal a strong, positive correlation between ethical leadership and CSR engagement, both of which significantly contribute to sustainable business practices. The study highlights that organizations adopting responsible and transparent business practices, guided by ethical leadership, are more likely to enhance their long-term sustainability and contribute to regional development. Furthermore, the research underscores the growing relevance of integrating CSR into core business strategies to align with sustainable development goals (SDGs). By incorporating a machine learning perspective, the study also suggests avenues for future research in predictive modeling and CSR impact assessment. This research adds value to the existing literature by contextualizing CSR within India's varied socio-economic environments and offers practical insights for policymakers, business leaders, and sustainability advocates aiming to foster ethical and responsible business ecosystems across the country.
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Tags: Agentic AI, FinTech, IT Leadership
Exploring the Role of Hash Functions in Securing Smart Contracts on Blockchain
IEEE
July 03, 2025
A smart contract is the code that controls such digital assets and runs them on a blockchain network. It is used to try and default contract terms, remove intermediaries within the network, and ensure a trustless environment with more efficiency. However, smart contracts are of great concern as they handle sensitive and valuable assets. Smart contracts & Bloom hash function: An essential element in blockchain technology with smart contracts enabling safety and security through Bloom hash functions. With the help of hash functions, every data block generates a specific cryptographic hash, making it almost immutable and ensuring that nobody can tamper with your information. In the realm of smart contracts, hash functions can be used to generate a digital signature of the contract code, and then all parties involved can verify that by doing dust authentication. Since tampering with the code changes its hash, each side could easily detect if someone had altered a document. You may use hash functions with other security layers (e.g. multi-factor authentication, encryption) to set up a strong protection for your smart contracts. While smart contracts stay true to the core principles of immutability and transparency in order, using hash functions can further strengthen security against potential threats.
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Tags: Agentic AI, Blockchain, Innovation
Leveraging Artificial Intelligence to Enhance Distributed Systems, Cloud Computing, Virtualization, and Containerization for Next-Generation Infrastructure
IEEE
June 24, 2025
Artificial Intelligence (AI) has significantly transformed distributed systems, cloud computing, virtualization, and containerization. These foundational technologies require continuous optimization to meet growing performance and security demands. This paper explores AI-driven enhancements for next-generation infrastructure, including intelligent failure handling, predictive maintenance, and efficient load distribution in distributed systems. In cloud environments, AI optimizes resource management, cost efficiency, and anomaly detection. AI further improves containerization through dynamic scalability and security threat identification. Additionally, AI aids workload placement while mitigating virtualization overhead. By analyzing case studies and recent research, this paper highlights AI's role in building resilient and efficient infrastructures.
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Tags: Agentic AI, AI, Cloud
SHIELD-RAG Generative AI for Proactive Threat Detection in Financial Systems
International Journal of Enhanced Research In Science Technology & Engineering
May 20, 2025
Financial systems today are more susceptible to advanced cyber attacks, which call for the use of advanced and
proactive threat detection systems beyond conventional rule-based or anomaly-driven frameworks. Current
methods are prone to problems like high false positive rates, shallow contextual understanding, and sluggish
reaction times, which can lead to financial losses, reputations, and non-compliance with regulatory
requirements. While some work has been conducted on the application of machine learning and natural
language processing for security analysis, these efforts are mostly in silos and lack a coherent framework that
dynamically responds to new threat intelligence. To address this gap in research, this work presents SHIELDRAG (Security-Hardened, Integrated, Explainable, and Learning-Driven Retrieval-Augmented Generation), a
new generative AI system specifically tailored for proactive threat detection in financial environments. As the
opposite of conventional detection systems, SHIELD-RAG combines the strengths of Retrieval-Augmented
Generation (RAG) with domain-aware embeddings and an ever-evolving security knowledge base, enabling
real-time threat prediction, contextual alerting, and remediation insights. Through retrieval of pertinent threat
intelligence information and generation of explainable narratives on suspicious patterns, the model enhances
situational awareness and provides analysts with greater accuracy and timeliness in decision-making abilities.
The proposed methodology not only addresses the critical challenge of explainability in AI-based threat
detection but also bridges the gap between static monitoring as well as adaptive learning. Initial simulations and
dataset testing demonstrate dramatic improvement in detection accuracy, interpretability, and response times
over current benchmarks. This work positions SHIELD-RAG as a paradigm-shifting financial cybersecurity
innovation with implications for broader applications to regulated industries requiring real-time, reliable, and
intelligent threat reaction systems
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Tags: Agentic AI, FinTech, IT Leadership
Blockchain and AI in Fintech: A Dual Approach to Fraud Mitigation
Journal of Computers Mechanical and Management
April 30, 2025
This study reviews fraud mitigation in the fintech sector due to the dual application of blockchain and artificial intelligence. Furthermore, the immutability ledger that supports transparency and accountability on the blockchain, and they successfully contain the risk of data and unauthorized financial transactions to some extent. In correlating millions of transactional data items in real-time, applying machine learning algorithms, it detects fraud and predicts it with high reliability. The proposed system describes an AI-based fraud detection system, namely the data acquisition and preparation phase, the training of AI models phase, and the monitoring phase. The advantages of AI-based fraud detection include high accuracy rates, instant monitoring in which a subsequent reaction can be initiated, minimal or no false positives, and cost efficiencies. This survey evaluates and examines current FinTech fraud detection methods, emphasizing the synergistic application of artificial intelligence and blockchain technologies. This study emphasizes implementation based on cost issues, its suitability for expansion and its legal concerns. It is applied to change many businesses, increase efficiency, decrease fraud, and bring innovation to the field of financial technologies.
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Tags: Agentic AI, Blockchain, FinTech
From Buzz to Business: 5 GenAI Technologies Changing Everything in 2025
Linkedin
April 28, 2025
GenAI is no longer just a trending topic , it's reshaping industries. Here are the 5 technologies leading the charge into 2025.
Generative AI (GenAI) has swiftly evolved from a flashy innovation in research labs and startups to a foundational technology revolutionizing the way businesses operate. No longer a niche interest, GenAI is now a critical tool for global enterprises to automate processes, enhance customer experiences, and unlock previously untapped insights from data.
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Tags: Agile, Design Thinking, Innovation
Advancing Predictive Maintenance and Asset Management Through Digital Twin Technology: A Step Towards Industry 4.0
IEEE
April 02, 2025
Digital Twins (DTs) are revolutionizing predictive maintenance (PdM) and asset management by creating a seamless link between physical and virtual systems. This study explores the use of DTs in integrating IoT sensor networks with advanced machine learning models such as Random Forest Classifiers, Long Short-Term Memory (LSTM) networks, and autoencoders. These technologies give meaningful insights into asset performance by enabling predictive analysis and real-time monitoring. The constraints of traditional maintenance techniques, such as delayed fault detection and poor resource allocation, have been addressed by DTs, which have shown notable benefits, such as a 20% increase in asset utilization and a 25% decrease in unscheduled downtime. Longer equipment lifespans and more economical maintenance techniques result from these devel-opments. Notwithstanding its potential, scalability and system integration issues still exist. DTs' critical role in improving system dependability, operational efficiency, and economic viability, all of which propel industrial advancement in the context of Industry 4.0, is highlighted in this paper.
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Tags: Agentic AI, Digital Twins, Innovation
Decentralized Intelligence: AI’s Role in Optimizing Cryptocurrency and Digital Asset Ecosystems
Journal of Quantum Science and Technology
April 01, 2025
In the evolving landscape of digital finance, the integration of artificial intelligence with blockchain technology is paving the way for a transformative era in cryptocurrency and digital asset management. This paper examines the concept of decentralized intelligence—an innovative paradigm where AI algorithms are distributed across blockchain networks—to optimize transaction efficiency, security, and overall ecosystem functionality. Through a comprehensive review of recent advancements, we highlight how machine learning models and distributed ledger technology are merging to enhance scalability, automate decision-making processes, and mitigate risks associated with volatile markets. The study delves into the symbiotic relationship between AI and decentralized networks, outlining the potential for predictive analytics in identifying market trends, fraud detection, and optimizing smart contract operations. Furthermore, the research explores the challenges of integrating these technologies, such as data privacy concerns, regulatory hurdles, and computational constraints, while also discussing promising solutions that leverage collaborative frameworks and advanced cryptographic techniques. By synthesizing current research findings and technological breakthroughs, the paper provides a nuanced perspective on the operational efficiencies and innovative capabilities that decentralized intelligence introduces to the digital asset ecosystem. Ultimately, this study aims to provide insights into future applications and strategic implementations that could redefine financial markets and digital asset management practices, setting the stage for further exploration and development in this rapidly evolving field. The integration of decentralized intelligence represents a technological evolution in digital economies, offering unprecedented autonomy, efficiency, and security. As stakeholders rapidly adopt these innovations, the future of digital asset ecosystems appears robust and remarkably promising.
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Tags: Agentic AI, Digital Transformation, FinTech
Explainable AI (XAI) for Credit Scoring andLoan Approvals
Research Gate
March 15, 2025
The incorporation of artificial intelligence (AI) in credit scoring and loan approvalprocesses brings improved predictive accuracy compared to conventional meth-ods while transforming financial decision-making. These black-box AI modelsmake it difficult to understand their decision-making processes because theymaintain internal operations that remain unknown. Consequently this createsconcerns regarding transparency and both fairness and regulatory compliance.XAI stands as a vital instrument for financial responsibility because it deliversunderstandable explanations that resolve the problems with black-box AI sys-tems. The research develops an XAI framework for credit scoring that evaluatesfive machine learning models including Logistic Regression (LR), Decision Tree) DT), Random Forest (RF), Support Vector Machine (SVM), and K-NearestNeighbor(KNN) by using the Kaggle Loan Data Set that contains extensive appli-cant information. RF stands out as the top performer among the five modelsbecause it reaches 99% accuracy for loan outcome predictions. XAI techniquesallow the model to demonstrate its decision-driving variables (credit history anddebt levels) through feature importance analysis thus building trust and fair-ness. High performance of the model presents challenges because it runs complexcalculations while also facing potential overfitting issues that require validationsteps. The findings demonstrate the capability of XAI to supply transparentcredit assessments with high accuracy that supports fair and compliant practicesthroughout the fintech industry and banks. XAI should gain more widespreaduse to establish an equilibrium between financial innovation and accountabilitywithin financial applications.
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Tags: Agentic AI, AI, FinTech
Tokenized Real-World Assets (RWA): The Trillion-Dollar Future of Investing
Linkedln
January 02, 2026
The global financial system is undergoing a quiet but powerful transformation. Real-world assets - traditionally locked behind paperwork, intermediaries, and geographic boundaries - are now being digitized and traded on blockchains.
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Tags: Agentic AI, FinTech, IT Strategy
Embedded Lending in E-commerce: How AI Decides Your Loan in 200 Milliseconds
Linkedin
December 26, 2025
Embedded lending represents one of the most impactful shifts in modern finance. By integrating credit decisioning directly into e-commerce platforms, businesses can offer instant, personalized loans at the exact moment of purchase.
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Tags: Agentic AI, FinTech, IT Leadership
The New Geography of Money: How AI & Fintech Are Redrawing Global Power
Linkedin
December 05, 2025
Money has always shaped power. For centuries, financial influence was concentrated in a few countries - those that housed the biggest banks, controlled clearing systems, or dictated global monetary policy.
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Tags: Agentic AI, FinTech, IT Leadership
Subscription Economy Meets Finance – The New Wave of Recurring Payment Startups
Linkedln
November 21, 2025
The subscription economy is no longer a niche trend—it has become one of the fastest‑growing business models, transforming how companies across the world operate. From entertainment and e‑commerce to healthcare, SaaS, digital banking, and even mobility services, subscription‑based frameworks are redefining customer expectations and competing directly with traditional one‑time purchase models.
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Tags: AI, FinTech, Leadership
Big TeBig Tech in Finance: Can Apple, Google & Meta Become Banks?ch in Finance: Can Apple, Google & Meta Become Banks?
Linkedin
November 06, 2025
The world’s most powerful tech companies have already transformed how we communicate, shop, and work. But now, they’re setting their sights on something even bigger - the future of money. With Apple, Google, and Meta steadily expanding their financial footprints, one question keeps resurfacing: Are these tech giants on their way to becoming banks?
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Tags: Agentic AI, FinTech, Leadership
Sustainability in Finance: The Rise of Green Fintechs
Linkedin
November 01, 2025
In an era defined by the dual challenges of economic growth and environmental responsibility, the financial sector stands at a crossroads. Traditional finance, long driven by returns and risk, is now evolving to include a third “R” — responsibility. Enter Green Fintech — the next wave of financial innovation reshaping how money moves, grows, and impacts the planet.
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Tags: Agentic AI, AI, Leadership
Why Cross-Border Payments Are Still So Expensive in 2025
Linkedln
October 24, 2025
In a world where we can send a message instantly, why does money still move so slowly? Despite advanced fintech solutions, cross-border payments remain one of the most costly and inefficient financial processes. The global average cost of sending money internationally is still between 5–8%, far higher than domestic transfers.
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Tags: Agentic AI, FinTech, Leadership
Why Banks Fear — and Need — Fintech Startups
Linkedln
October 17, 2025
Fintechs have redefined what financial services look like. They are not burdened by legacy systems or outdated processes, allowing them to focus purely on customer needs and innovation.
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Tags: Agentic AI, FinTech, Leadership
From Bias to Balance: Rethinking How We Celebrate Progress
Linkedln
September 27, 2025
Progress is often painted as a straight upward arrow—a story of constant improvement, faster innovations, and bigger milestones. We cheer for record profits, technological breakthroughs, or large-scale achievements as if they were the ultimate signs of advancement. Yet, this narrative leaves out a crucial truth: progress can be biased.
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Tags: Agentic AI, FinTech, Leadership
AI Value Chain & Money Flow: Who Really Profits From AI?
Linkedin
August 24, 2025
Every time you type a question into ChatGPT, generate an image, or rely on an AI assistant, you’re fueling a massive ecosystem. Money doesn’t just stop at the app you pay for, it cascades through layers of software, cloud providers, chip makers, and even energy suppliers.
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Tags: Agentic AI, FinTech, Leadership
GPT-5: The Swiss Army Knife of AI
Linkedln
August 08, 2025
The long-anticipated release of GPT‑5 is finally here, and it’s already making a big impact in the AI space. Launched on August 7, 2025, by OpenAI, GPT‑5 represents a significant leap forward not just an upgrade over GPT‑4, but a complete evolution in terms of capability, usability, and versatility. From improved reasoning to full multimodal capabilities, GPT‑5 is built to be smarter, more helpful, and more aligned with user intent.
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Tags: Agentic AI, FinTech, Leadership
The Rise of Agentic Commerce: How Stablecoins and AI Agents Are Redefining Payments
Linkedln
August 01, 2025
Major brands and platforms are no longer observing from the sidelines—they're actively building and testing these technologies, signaling a shift in how value will move across the internet.
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Tags: AI, FinTech, Leadership
The Hidden Cost of AI: How Our Drinking Water Powers the Intelligence Revolution
Linkedln
July 25, 2025
Artificial Intelligence (AI) feels almost magical. You ask a chatbot a question, and it answers instantly. You generate a realistic image, and it's done in seconds. But behind these seemingly effortless tasks lies a massive, hidden physical infrastructure and one of its most overlooked costs is water.
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Tags: Agentic AI, FinTech, Leadership
GenAI in Payments: How Generative AI is Transforming the Payment Industry
Linkedln
July 17, 2025
The payments industry is evolving at lightning speed and Generative AI (GenAI) is one of the biggest drivers of this transformation. From customer service to fraud prevention, underwriting to analytics, GenAI is not just automating tasks - it’s enhancing intelligence, personalizing experiences, and accelerating decisions across every layer of the payment ecosystem.
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Tags: Agentic AI, FinTech, Leadership
Invisible Infrastructure: Powering the Future of Payments
Linkedln
July 11, 2025
Today, buying your favorite coffee, booking a cab, or subscribing to a streaming service happens so effortlessly, it feels like magic. There’s no juggling with wallets, no entering long card numbers - just a tap, a swipe, or sometimes, nothing at all. But behind that seemingly simple moment lies a complex network of systems quietly working in perfect coordination.
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Tags: Agentic AI, Finance, Leadership
The Future of Finance Isn’t Human Alone:It’s Hybrid
Linkedln
July 04, 2025
In this post, we’ll explore how AI agents are not just automating tasks but becoming intelligent assistants that boost speed, accuracy, and decision-making in modern finance teams.
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Tags: Agentic AI, FinTech, Leadership
The Next Big Shift in Tech: From Apps to Agents
Linkedln
June 26, 2025
For the past two decades, the app has been the default interface for how we interact with technology. Whether you’re checking email, hailing a ride, managing your finances, or shopping online, there’s an app for that—neatly designed, task-specific, and user-driven.
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Tags: Agentic AI, FinTech, Leadership
The Role of Autonomous Agents in Cybersecurity, Finance, and Healthcare
Linkedln
June 19, 2025
As artificial intelligence (AI) evolves from reactive tools into intelligent, decision-making systems, autonomous agents are becoming one of its most transformative components. These AI-driven systems don’t just analyze data—they perceive environments, make independent decisions, and take action without human intervention.
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Tags: Agentic AI, FinTech, Leadership
Introducing AWS Strands Agents: An Open Source SDK to Build Real-World AI Agents
Linkedln
June 12, 2025
In the world of artificial intelligence, language models like GPT-4 and Claude have demonstrated how powerful natural language understanding and generation can be. But while these models are impressive, they lack the structure, memory, and autonomy needed to act intelligently over time and across multiple steps or goals.
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Tags: Agentic AI, FinTech, Leadership
Inside the Mind of an AI Agent- What AI agents “think,” how they act !
linkedin
June 05, 2025
If you’ve spent any time in the AI space lately, you’ve probably heard the term “AI agent” thrown around. But what does it really mean for an AI to be an agent—and how is it different from a chatbot like ChatGPT?
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Tags: Generative AI
How AI Is Quietly Reshaping Financial Services – And Why It Matters to You
linkedin
May 15, 2025
In recent years, artificial intelligence (AI) has transformed industries across the board—from healthcare and logistics to education and entertainment. Yet, one of its most impactful (and often under discussed) revolutions is happening behind the scenes in financial services. Whether you're applying for a loan, managing your investments, or simply using your bank’s mobile app, there's a good chance AI is involved
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Tags: Generative AI, Healthcare, AI
From Automation to Autonomy: How AI Agents Will Redefine Workflows in 2025
linkedin
May 08, 2025
Artificial Intelligence is evolving—and fast. In 2025, the leap isn’t just about automating repetitive tasks; it's about building autonomous agents that can think, plan, and act with minimal human input. We are moving from tools that require direction to intelligent co-workers that can self-direct, adapt, and deliver outcomes. This shift will fundamentally change how workflows are designed, executed, and scaled.
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Tags: Generative AI, AI
From Prompts to Protocols:Why A2A and MCP Are Reshaping AI’s Next Phase
Linkedin
April 16, 2025
Artificial Intelligence has undergone a remarkable transformation over the past few years. From basic assistants responding to commands, we’ve now entered an era of intelligent agents — systems that can think, reason, plan, and execute tasks autonomously. But what’s even more exciting is that these agents are no longer confined to single platforms or applications.
Welcome to the age of multi-agent collaboration.
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Tags: AI, Digital Transformation, Transformation
Multi-Agent Systems: Collaboration and Coordination
AI Agents Summit
September 19, 2025
Exploration of multi-agent systems and their role in complex environments, enabling collaborative and coordinated AI-driven solutions.
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Tags: Agentic AI, FinTech, Leadership
Road to AfriDES G20 Roundtable Series
Afrides G20
September 12, 2025
Re-imagining Education in Africa: Harnessing Emerging
Technologies, Innovative Funding Models, and Employment
Pathways
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Tags: Agentic AI, FinTech, Leadership
Fast, Fluid, and Frictionless: The Payment Revolution
https://www.generations.global/agenda
June 12, 2025
From real-time rails to AI-powered fraud prevention, payments are becoming faster, smarter, and more embedded. Join this session to explore how next-gen infrastructure is reshaping customer expectations and opening new revenue streams.
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Tags: Agentic AI, FinTech, IT Leadership
The Commons Under Attack: Protecting Public Goods, Digital Spaces, and Natural Resources
The Digital Economist
April 23, 2025
During the session, I shared my perspectives on:
->Data Sovereignty in the Age of AI:
Highlighting the urgent need to educate people about responsible AI use, build public trust, and ensure AI helps protect personal data instead of threatening it.
->Empowering Communities Dependent on Shared Resources:
Discussing how we can use AI to enhance data security and support communities that rely on shared resources, ensuring fair access and sustainable growth.
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Tags: Agentic AI, FinTech, Leadership
Bringing AI To Your Data: The Future Of Smart Data Management
Atlanta AI Week
April 22, 2025
AI is only as powerful as the data it can access—but moving, cleaning, and managing data is often the biggest roadblock to AI success. Instead of shifting massive datasets, the future lies in bringing AI directly to your data wherever it resides. This session will explore how businesses can integrate AI into existing data ecosystems, enabling real-time insights, smarter automation, and secure, scalable AI applications. Learn how leading organizations are optimizing data strategies, reducing infrastructure bottlenecks, and unlocking AI’s full potential—without disrupting operations.
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Tags: AI, Digital Transformation, Leadership
Georgia STEM DAY 2025
TAG-Ed (Technology Association of Georgia Education Collaborative)
March 07, 2025
Spoke as a panelist during Georgia STEM Day 2025, contributing insights on the future of AI in education and its role in inspiring the next generation of technologists and innovators. Engaged with students and educators to discuss ethical AI, STEM careers, and emerging technologies.
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Tags: Education, Future of Work, Leadership
Inclusive by Design: How Fintech and AI Are Powering Community-Driven Finance
Yahoo Finance
August 22, 2025
This talk explores how fintech and AI are transforming financial ecosystems to be more inclusive, ethical, and community-driven. It highlights real-world examples of how intelligent automation, digital wallets, and AI-driven credit models are enabling equitable access to financial services. The session also discusses design principles for building trust, transparency, and sustainability into next-generation financial systems.
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Tags: Agentic AI, FinTech, Leadership
From Milliseconds to Microseconds: How Quantum Computing Could Transform Real-Time Payments
Conf 42
June 19, 2025
Quantum computing could accelerate real-time payments, enhance fraud detection, and transform settlement systems. This session explores emerging pilots, industry experiments, and the future of quantum-driven financial transactions.
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Tags: Agentic AI, FinTech, Quantum Computing
AI-Powered Payment Gateways for Green Finance: Using LLM Agents to Drive Sustainable Transactions
Comet
May 14, 2025
As financial systems shift toward sustainability, AI-powered payment gateways can play a crucial role in tracking, optimizing, and incentivizing low-carbon transactions. Large Language Model (LLM) agents can enhance real-time carbon footprint analysis, route payments through energy-efficient networks, and automate ESG compliance. By integrating AI-driven carbon-aware payment routing, businesses and consumers can make transactions that prioritize environmental sustainability while offsetting emissions in real time.
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Tags: Agentic AI, FinTech, Leadership
From Data to Decisions: Leveraging AI & Digital Twins for Financial Risk & Asset Optimization
Conf 42
May 08, 2025
Can we predict equipment failures before they happen? With AI-driven Digital Twins, businesses use real-time IoT data and ML models to optimize asset management, reduce downtime, and improve decisions. This talk explores how predictive maintenance transforms industries with AI and anomaly detection.
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Tags: Agentic AI, FinTech, Innovation
Ensuring High Availability and Low Latency in Distributed Systems Using Kubernetes
Conf 42
April 17, 2025
Supercharge your distributed systems with Kubernetes for lightning-fast, low-latency data processing! Learn how Kubernetes’ auto-scaling, fault tolerance, and seamless resource management boost performance and reliability, powering real-time applications in financial, IoT, and other critical sectors
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Tags: Agentic AI, Innovation, Leadership
Next Gen payments - Merging Blockchain, AI and Biometrics
Optimized AI Conference
April 16, 2025
Exploring the convergence of AI, blockchain, and biometrics in redefining the future of payments. Shared insights on combating deepfakes, enhancing fraud detection, and securing digital identity—ushering in a smarter, faster, and more secure payment era.
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Tags: Agentic AI, FinTech, Leadership
Quantum Cloud Computing for AI & Brain-Computer Interfaces
Poornima University
March 22, 2025
Explored the intersection of quantum cloud computing, AI, and brain-computer interfaces (BCIs) to enable next-gen neuroadaptive systems. Discussed how quantum-powered infrastructure can accelerate BCI-driven AI applications in healthcare, finance, and immersive technologies.
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Tags: Agentic AI, Leadership, Quantum Computing
Beyond Passwords: Multi-Biometric Payment Authentication with Palm and Face Recognition
INTI Malaysia University
February 17, 2025
Presented innovative approaches to payment authentication using multi-biometric systems, combining palm and facial recognition for enhanced security, speed, and user convenience. Explored real-world applications and future potential beyond traditional passwords and PINs.
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Tags: Agentic AI, Blockchain, Leadership
AI in Fintech
Apple
February 14, 2025
AI in Fintech - Transforming Payments, Fraud Detection & Privacy, we dive into the powerful role of AI in shaping the future of financial technology.
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Tags: FinTech, Generative AI, IT Leadership
THE AI-POWERED FUTURE OF GREEN FINANCE: INTELLIGENT AGENTS AND SUSTAINABILITY
AI and Machine Learning for Decentralized Finance: Building Transparent, Intelligent, and Secure Financial Systems
Harnessing AI for Smarter Cryptocurrency and Digital Asset Ecosystems
The Agentic AI Revolution – Meet some of the most powerful frameworks driving the Agentic AI wave
AI Agents as Employees
