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Wishtok Launches in UAE as First All-in-One Wellbeing App
Wishtok Launches in UAE as First All-in-One Wellbeing App

CairoScene

time3 days ago

  • Business
  • CairoScene

Wishtok Launches in UAE as First All-in-One Wellbeing App

Wishtok introduces a multilingual, culturally aware wellness platform in the UAE, offering therapy, coaching, and spiritual services tailored to local needs and available 24/7. Jun 20, 2025 The UAE has introduced Wishtok, its first all-in-one mental and emotional wellbeing app, designed to provide accessible support across a wide range of services, including therapy, life coaching, and spiritual guidance. The platform connects users with a network of over 300 certified professionals, ranging from licensed therapists and NLP practitioners to relationship counsellor and spiritual coaches. Available in multiple languages—including Arabic, English, Hindi, and French—the app is designed to serve the country's diverse population. Wishtok's services are available on demand and are billed by the minute, giving users flexibility in managing their time and budget. Sessions are conducted anonymously to ensure privacy and comfort. Wishtok was founded by Manju Bishnoi, with leadership by CEO Chetna Chakravarthy, a certified life coach with over a decade of experience in the field. The platform aims to expand access to mental wellness resources while remaining culturally aligned with regional norms and expectations. The app supports both the UAE National Strategy for Wellbeing 2031 and the Dubai Health Authority's AED 105 million wellness program, which seek to integrate emotional and mental health into the broader healthcare landscape. Now, Wishtok is available for download on the Apple App Store and Google Play Store.

Piyush Chhabra: Revolutionizing Cross-Border Payments with iOS and SWIFT Integration Solutions
Piyush Chhabra: Revolutionizing Cross-Border Payments with iOS and SWIFT Integration Solutions

Int'l Business Times

time3 days ago

  • Business
  • Int'l Business Times

Piyush Chhabra: Revolutionizing Cross-Border Payments with iOS and SWIFT Integration Solutions

The global payments industry is undergoing a massive transformation, driven by the need for faster, cheaper, and more secure cross-border transactions. At the forefront of this revolution is Piyush Chhabra, a fintech architect who is redefining international money transfers by integrating iOS-native payment solutions with SWIFT's global banking network. His approach leverages cutting-edge technology to eliminate traditional pain points high fees, slow processing times, and a lack of transparency, making cross-border payments seamless for businesses and consumers alike. Traditional international money transfers suffer from several inefficiencies: High Transaction Fees – Banks and intermediaries charge hefty fees for currency conversion and processing. Slow Settlement Times – SWIFT transfers can take 2–5 business days, causing delays in business transactions. Lack of Transparency – Hidden fees and fluctuating exchange rates make it difficult for users to track costs. Regulatory Hurdles – Compliance with AML (Anti-Money Laundering) and KYC (Know Your Customer) rules slows down onboarding. Piyush recognized these challenges early and set out to build a next-generation cross-border payments platform that integrates: iOS-native payment technologies (Apple Pay, Siri Shortcuts, and Wallet integration). SWIFT's global payment network (for secure, bank-backed transactions). Real-time FX (foreign exchange) optimization (AI-driven currency conversion). Despite the rise of blockchain and fintech alternatives, SWIFT remains the backbone of global banking, connecting 11,000+ financial institutions worldwide. Piyush optimizes SWIFT, integrating AI-powered routing for the system to automatically select the fastest and cheapest SWIFT corridor based on destination. His SWIFT integration with AI checks IBAN/SWIFT details before submission, which reduces failed transactions and allows users to get live transaction updates for their SWIFT transfers. Piyush Chhabra's Cross-Border Payments integrated solution with IOS and SWIFT provided the following benefits to the financial services industry by: 🚀 Reduced delays (AI predicts processing bottlenecks). 💰 Lower fees (dynamic routing avoids expensive intermediaries). 🔒 Fraud prevention (machine learning detects suspicious transactions). Banks and payment providers often apply hidden markups on exchange rates, costing users millions annually. Piyush's AI-driven solution scans multiple liquidity providers to offer the best real-time FX rate and Machine learning forecasts currency trends, allowing users to lock rates before they worsen. Piyush's integration of iOS, SWIFT, and AI is just the beginning. His global currency transfer solutions include: Blockchain Hybrid Payments – Combining SWIFT with Ripple or Stellar for near-instant settlements. – Combining SWIFT with Ripple or Stellar for near-instant settlements. AI Compliance Automation – Using NLP to auto-fill KYC/AML forms from uploaded documents. – Using NLP to auto-fill KYC/AML forms from uploaded documents. AR Payment Tracking – Visualizing transaction paths in Apple's ARKit for better transparency. Piyush is redefining cross-border payments by merging iOS's seamless UX with SWIFT's reliability and AI's intelligence. These solutions provide faster, cheaper, and more transparent international transactions. As technology evolves, Piyush Chhabra's model could become the gold standard for global payments, bridging the gap between traditional banking and modern fintech innovation. The future of cross-border payments isn't just about speed or cost. It's about seamless integration into daily life. With Piyush's vision, sending money across borders could soon be as easy as sending an iMessage.

Analysis of the Impact of Emotional Intelligence and Neuro-Linguistic Programming (NLP) on Performance and Well-Being of Employees in High-Pressure Corporate Environments
Analysis of the Impact of Emotional Intelligence and Neuro-Linguistic Programming (NLP) on Performance and Well-Being of Employees in High-Pressure Corporate Environments

Time Business News

time3 days ago

  • Business
  • Time Business News

Analysis of the Impact of Emotional Intelligence and Neuro-Linguistic Programming (NLP) on Performance and Well-Being of Employees in High-Pressure Corporate Environments

Abstract This article presents a critical and evidence-based analysis of the impact of Emotional Intelligence (EI) and Neuro-Linguistic Programming (NLP) on the performance and well-being of employees in high-pressure corporate environments. Using a historical-evolutionary approach and grounded in empirical evidence and a systematic literature review, the study explores how these behavioral tools contribute to emotional regulation, psychological resilience, and organizational performance. The theoretical foundations of both approaches are examined, along with their practical applicability in organizational contexts marked by volatility, performance demands, and relational complexity. The analysis includes data from correlational studies and results from training programs focusing on EI and NLP, highlighting positive effects on stress reduction, improved interpersonal relationships, increased engagement, and sustainable performance. The paper concludes by discussing the importance of integrating these methodologies as strategies for human development and effective management in contemporary organizations. Keywords: emotional intelligence, neuro-linguistic programming, organizational performance, workplace well-being, high-pressure environments, human development. 1. Introduction The contemporary corporate landscape is characterized by intense technological, economic, and social transformations, demanding an increasingly broad set of skills from professionals to navigate high-complexity, high-pressure contexts. In this volatile and competitive environment, individual and collective performance can no longer be understood solely through the lens of technical or intellectual competencies. Aspects such as emotional regulation, adaptability, and communication skills have become central to human development strategies within organizations. Emotional Intelligence (EI) has emerged as one of the most studied and applied competencies in organizational psychology. Although its concept was popularized by Daniel Goleman, it is rooted in solid scientific foundations and shows a direct relationship with variables such as effective leadership, job satisfaction, and mental health. Complementarily, Neuro-Linguistic Programming (NLP) has been established as a practical approach focused on restructuring behavior patterns, communication, and cognition, although its empirical foundation remains a topic of debate. The objective of this article is to technically and scientifically analyze how EI and NLP impact the performance and well-being of employees in high-pressure corporate environments. The approach includes a theoretical review, case studies, correlational data, and evidence from applied training programs. The goal is to demonstrate that, despite their distinct origins and varying levels of validation, both methodologies provide valuable contributions to building healthier, more productive, and humanized organizational environments. This discussion is crucial in light of the urgent need for corporate practices that go beyond task management, focusing on the integral development of the human being. By understanding and applying tools that promote emotional intelligence and behavioral self-regulation, organizations will be better equipped to face contemporary challenges and foster a culture of well-being and high performance. 2. Historical and Theoretical Foundations The understanding of Emotional Intelligence (EI) as a critical factor in human performance gained prominence in the 1990s with the work of Daniel Goleman, who popularized the concept by highlighting its relevance to both professional and personal success. However, the theoretical origin of EI dates back to earlier research, such as that of Peter Salovey and John D. Mayer, who defined EI as the ability to perceive, understand, regulate, and use emotions effectively. This new field brought an innovative perspective to psychology applied to organizations, integrating emotions into a domain traditionally dominated by cognitive competencies. The advancement of the EI concept marked a paradigm shift in leadership theories and organizational behavior. Since then, multifactorial models have emerged that classify EI into domains such as self-awareness, self-regulation, empathy, motivation, and social skills, broadening the possibilities for measurement and practical intervention. Organizations began investing in EI assessments to map leadership potential and identify gaps in soft skills, incorporating these metrics into their recruitment, development, and succession processes. Simultaneously, Neuro-Linguistic Programming (NLP) emerged in the 1970s as a proposal focused on understanding how mental and linguistic patterns influence human behavior. Created by Richard Bandler and John Grinder, NLP operates under the assumption that it is possible to model patterns of human excellence and replicate them through specific techniques. Initially applied in brief therapy and interpersonal communication, NLP rapidly expanded into the corporate world. Despite controversy over the scientific validity of NLP, its practical applicability has solidified in environments that demand high performance, such as sales, executive coaching, and leadership training. The combination of language, behavior, and neurology offers quick interventions for reframing beliefs, changing behaviors, and boosting confidence. Thus, NLP has gained recognition as a tool for personal development, especially in contexts where the human factor is decisive for organizational success. 3. The Complexity of High-Pressure Corporate Environments Economic and technological transformations in recent years have intensified competition between organizations, leading to corporate environments marked by constant pressure for results. This scenario is often described by the acronym VUCA (volatility, uncertainty, complexity, and ambiguity), which demands that professionals possess not only technical competence but also sophisticated behavioral skills. Among these, the ability to adapt, emotional resilience, and strategic communication stand out as crucial differentiators. Companies in sectors such as finance, technology, healthcare, and consulting frequently impose aggressive goals, tight deadlines, and environments with high cognitive load. Under these conditions, employees are more vulnerable to physical and emotional exhaustion, known as burnout, as well as other psychosocial disorders. In this context, managing human capital goes beyond productivity and includes promoting mental health and supporting emotional balance. It is precisely in this space that tools like EI and NLP demonstrate their strategic relevance. While Emotional Intelligence enables professionals to recognize and regulate their emotions, preventing impulsive or dysfunctional reactions, NLP provides methods for reprogramming limiting mental patterns and strengthening assertive communication. Both directly contribute to increased focus, clarity in decision-making, and the quality of interpersonal interactions, reducing organizational friction. As organizations recognize the complexity of the factors influencing performance, the demand for integrative human development approaches grows. Investments in EI and NLP-focused programs not only represent a preventive measure against psychological distress but also serve as strategies to promote innovation, collaboration, and sustainable engagement. In high-pressure environments, the humanization of professional relationships becomes a competitive asset. 4. Emotional Intelligence and Performance: Empirical Evidence Research over the past decades has increasingly shown a positive correlation between emotional intelligence and professional performance. One of the most comprehensive studies on this subject, conducted by O'Boyle et al. (2011), analyzed data from over 3,000 participants and concluded that EI is positively associated with performance across different occupations and sectors. This finding validated EI as a predictive competency for organizational success, alongside technical and cognitive skills. The presence of high EI in leaders and employees tends to directly impact the work environment. Emotionally intelligent individuals are better equipped to handle conflicts, adapt to changes, and maintain motivation in adverse situations. These professionals also demonstrate greater sensitivity to social dynamics and better communication skills, which fosters the creation of collaborative and synergistic environments. At the team level, EI translates into healthier interpersonal relationships, reduced turnover, and increased collective productivity. In leadership positions, emotional intelligence is strongly associated with the engagement of subordinates and the effectiveness of strategic decisions. Behaviors such as empathy, active listening, and constructive feedback are pillars of leadership that create positive and lasting impact. In addition to statistical correlation, experimental studies have shown the effectiveness of EI training. Longitudinal research indicates that employees subjected to structured emotional development programs show improvements in well-being indicators, reduced occupational stress, and increased job satisfaction. This reinforces EI as a trainable competency with a direct impact on quality of life and organizational performance. 5. Neuro-Linguistic Programming: Between Practice and Controversy Neuro-Linguistic Programming (NLP) remains a controversial approach within the field of behavioral sciences, primarily due to the lack of systematic empirical validation of its fundamental principles. Despite this, its adoption in the corporate world remains significant, particularly in areas such as executive coaching, sales training, leadership, and communication. The core principles of modeling excellence and changing limiting beliefs continue to attract professionals seeking rapid personal transformation and performance improvement. The main techniques of NLP include emotional anchoring, cognitive restructuring, rapport building, therapeutic metaphors, and linguistic pattern reframing. When applied with discernment and combined with evidence-based approaches, these techniques can enhance self-confidence, focus, and communication clarity. This is especially relevant in high-pressure contexts, where emotional self-regulation is essential for effective performance. Case studies and qualitative reports have pointed to tangible benefits of applying NLP in corporate environments. In one intervention at a financial institution, 180 professionals participated in an 8-week NLP-based program. At the end of the program, 74% reported an increased ability to manage conflicts, improved subjective well-being, and greater clarity in defining goals and priorities, highlighting its transformative potential. However, the lack of rigorous quantitative research remains a challenge for the consolidation of NLP as a scientific approach. The academic community calls for controlled, replicable experimental designs using standardized instruments. This methodological advancement is crucial for NLP to evolve from a set of applied techniques to a recognized scientific model of human development. 6. Correlational Study and Post-Training Results A correlational study conducted with 250 professionals from the technology and finance sectors in Brazil explored the relationship between emotional intelligence, NLP usage, and organizational performance. The results demonstrated that individuals with high scores on the EQ-i 2.0 — one of the primary tools for assessing EI — performed better in 360-degree evaluations and reported higher levels of job satisfaction. The statistical correlation (r = 0.62, p < 0.01) confirms the relevance of these constructs for professional performance. The participants were divided into two groups: one underwent integrated EI and NLP workshops, while the other maintained its usual routine. After the training, the experimental group showed significant improvement in indicators such as engagement, goal clarity, and emotional self-regulation. Additionally, there was a reduction in voluntary turnover and a decrease in absenteeism episodes, demonstrating the practical effects of the interventions. In the pre-training assessment, about 45% of participants reported ongoing difficulties in dealing with time pressures and meeting deadlines. After completing the program, this number dropped to 18%. Qualitative reports reinforced the quantitative data, indicating greater emotional control and improved interpersonal relationships as the main gains perceived by employees. These findings suggest that integrating EI and NLP programs could be a powerful strategy to boost both individual and collective outcomes. By investing in the development of emotional and communication skills, organizations strengthen their professionals' psychological health and enhance their ability to tackle the challenges of a volatile and competitive corporate environment. 7. Systematic Literature Review A systematic review published in 2022 in the International Journal of Workplace Health Management analyzed 47 studies on the impact of EI and NLP on organizational well-being. The conclusion was that structured EI programs are associated with improvements in indicators such as engagement, job satisfaction, and mental health. Regarding NLP, despite promising results, the studies exhibited methodological variability that limits generalizations. The main recommendation from the authors was to integrate these tools into continuous organizational development strategies, accompanied by evidence-based evaluations of effectiveness. 8. Final Considerations and Future Perspectives Emotional Intelligence (EI) and Neuro-Linguistic Programming (NLP) represent complementary approaches in addressing human challenges in high-pressure corporate environments. EI provides a solid and increasingly scientifically supported foundation for the development of critical emotional competencies. While NLP, despite lacking methodological standardization, can be a strategic ally when applied with discernment, integrating into coaching and behavioral training programs. For organizations, investing in the development of these competencies is not merely a socio-emotional responsibility initiative but a strategy to increase competitiveness, innovation, and human sustainability. Corporate environments that cultivate emotional intelligence and provide tools for neuro-linguistic self-management tend to be more resilient, healthy, and productive. Author's Summary With extensive experience at companies such as Hinode, Racco, Grupo Hoken, Maravilha da Terra, and currently as the owner of Sodré Serviços de Promoção de Vendas, Marketing e Treinamento LTDA. , Renato Afonso Arraes Menezes Netto Sodré demonstrates expertise in various areas of human development. His skills include conducting competency assessments, identifying development areas, and aligning programs with organizational goals. He is proficient in facilitating workshops, offering individualized guidance and feedback for professional growth, and mentoring career development. Renato has the ability to assess the effectiveness of development programs through feedback and performance metrics, as well as identifying and nurturing future leaders within the organization. Continuously updated on trends in people development, he researches and implements new approaches and technologies to optimize training programs. TIME BUSINESS NEWS

AI With Empathy—And Humans In Control
AI With Empathy—And Humans In Control

Forbes

time4 days ago

  • Business
  • Forbes

AI With Empathy—And Humans In Control

Gaurav Basra, CTO, Conversational AI is a game-changer and a business imperative, but how do we get it right? Replace everything with AI or something else? From automating customer support to enhancing sales conversions, organizations across industries have embraced deploying AI-powered chatbots, voice assistants and virtual agents to engage customers more efficiently and cost-effectively. Why Conversational AI Works Conversational AI blends natural language processing (NLP) with machine learning to simulate human-like dialogue. Technology evolves with each interaction, providing smarter responses, better context and smooth escalation when needed. Its benefits span both front-end and back-end operations. It allows customer support teams to be available 24/7 and can lead to faster resolution times and enhanced customer satisfaction. It provides sales and marketing teams with improved lead qualification, lead scoring, keyword analytics, retargeting, personalized engagement and intent analysis. HR and internal operations teams can streamline onboarding while having internal help desks and access to knowledge. Gartner, Inc. has predicted that by 2026, 10% of all customer service interactions will be automated using conversational AI, saving businesses an estimated $80 billion annually. Risks: Automation Without Oversight While the potential is enormous, so are the pitfalls. Generative models can provide inaccurate or misleading answers without clear boundaries or supervision. Limited training data, large language model design and a lack of real-world experience can create responses that meet the best probable response instead of factual answers. For example, if a website visitor asks for a specific procedure that isn't performed at a practice, but something similar is listed on the website, AI might assume that the procedure not listed is also performed due to a lack of knowledge base information. Poorly designed bots may frustrate users by failing to recognize emotional tone or understand nuanced queries. In healthcare, empathy plays a vital role, as human-to-human interaction builds strong connections. When adopting AI, ensure there is a seamless transition to humans on demand. In my experience, live chat has provided more qualified leads than AI alone. These leads are nurtured during live chat interactions, and the probability of sales conversion is higher. AI systems handling sensitive data must comply with regulations such as HIPAA, GDPR or SOC 2 and be guarded against prompt usage or data leakage attacks. AI should not replace human interaction—it should enhance it. Success lies in striking a balance between machine efficiency and human empathy. Human Element: Augment The Process, Not Replace Humans The most successful deployments keep people at the center, and AI models should be designed to augment services rather than replace them. AI is as good as the data used to model it. • Human-In-The-Loop Design: Build AI systems that escalate to live agents at the right time, preserving human connection in critical moments. • AI Coaching For Teams: Use conversational analytics to coach human agents, improve tone and identify training gaps. • Empathetic Design: Scripts and decision flows should reflect brand voice and emotional sensitivity. Human behavior must be modeled into interaction, especially in industries like healthcare, senior living and financial services. In essence, conversational AI should free up people to do what they do best—solve complex problems, build relationships and deliver high-touch experiences. Adoption Strategy: From Pilot To Scale Implementing conversational AI requires more than plugging in a chatbot. • Identify high-volume use cases. Start with repetitive, high-frequency tasks—customer FAQs, appointment scheduling or password resets—where automation delivers quick wins. • Select the right platform. Choose a platform that offers scalability, NLP flexibility, integration APIs and hybrid support (live agent plus AI). • Build with empathy and intent analytics. Effective bots are functional. They're also conversational. Design flows with emotional intelligence and use intent analytics to continuously optimize. • Pilot, measure and iterate. Run pilots in real environments. Track key performance indicators (KPIs) like deflection rate, customer satisfaction, resolution speed and escalation rate. Refine based on feedback. • Train people, not just machines. Equip support, sales and marketing teams to collaborate with AI, understanding its strengths, limitations and how to intervene when needed. As GenAI evolves, we'll see greater adoption in complex decision making, financial planning, healthcare triage and legal advisory. The future is multimodal: blending chat, voice and visual interfaces to meet users wherever they are. However, the winning formula remains clear—AI with empathy and humans in control. Businesses that get this right will reimagine customer engagement, create loyal relationships and build a smarter, more responsive enterprise. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

SiegFund Transforms into SiegPath: A Strategic Rebrand Paving the Way for the Future of Professional Trading
SiegFund Transforms into SiegPath: A Strategic Rebrand Paving the Way for the Future of Professional Trading

The Sun

time5 days ago

  • Business
  • The Sun

SiegFund Transforms into SiegPath: A Strategic Rebrand Paving the Way for the Future of Professional Trading

HONG KONG SAR - Media OutReach Newswire - 24 June 2025 - SiegFund, a fintech–driven proprietary trading platform, has officially completed its brand upgrade and will now operate as SiegPath, serving proprietary traders worldwide and ushering in a new chapter in global expansion. To further strengthen its rebranding, SiegPath has simultaneously launched its brand-new official website, built with a user-centric approach and equipped with a range of smart technologies to support the development of a distinctive and professional proprietary trading ecosystem. The new slogan, 'We Pave the Path to Professional Trading,' reflects SiegPath's commitment to nurturing talent in the trading industry. While prioritizing regulatory compliance, the company is dedicated to providing professional support and offering clear career pathways toward fund manager-level roles, empowering every trader to build their own path to success. Strategic Alliance with Licensed Private Equity Funds and DMA Brokers To fulfill its vision, SiegPath has formed a strategic alliance with a licensed Cayman Islands private equity fund and DMA brokers, setting a new standard in proprietary trading. This model delivers a regulated environment and supports long-term trader growth through integrated resources, risk controls, and secure, efficient technology. At the same time, grounded in a rigorous compliance framework, SiegPath leads the way in integrating cutting-edge intelligent technologies to create a professional trading environment that combines both security and high efficiency. SiegAI™: Transforming Trading with Intelligent Solutions for Retail Clients, Institutions, and Brokerages SiegPath representative stated, 'A cornerstone of SiegPath's transformation is the launch of SiegAI™, an advanced AI suit that redefines investment advisory, trading, customer support, and institutional research. It enhances service precision for retail clients, improves research efficiency and alpha generation for institutions, while cutting costs driving AUM growth for brokerages.' SiegAI™ has been adopted by leading financial institutions and nominated for prestigious awards, including this year's 'Best AI Market Analysis System,' reaffirming SiegPath's leadership in financial innovation. Key features of SiegAI™ include: AI-Advisor: An intelligent investment advisory system that enables clients to input investment preferences and goals, generating personalised strategies with 24/7 availability and reduced investment thresholds. AI-Trader: A real-time trading and risk control platform that utilises predictive models to analyse historical data, market sentiment, and order flows. It offers real-time portfolio monitoring, stop-loss automation, and margin call alerts to optimise strategies and ensure compliance. AI-Support: An intelligent customer service solution powered by NLP, delivering instant query resolutions, emotion analysis, and voiceprint fraud detection. It significantly enhances brokerage support efficiency, boosting productivity by 50%. AI-Research: A tool for institutional clients, enabling in-depth report generation through AI and aggregated data, freeing analysts to focus on strategic initiatives while ensuring compliance through differential privacy protocols. AI-Community: A regulated social investment network designed to foster user engagement by clustering communities, filtering misinformation, and ensuring compliance in discussions. A Path to the Fund Manager Community SiegPath equips traders with flexible plans, professional tools, expert training, and AI mentorship, supporting their journet to professional trading. SiegCertified™ Traders earn prestigious fund manager status, joining an exclusive community that offers access to top-tier managers, industry events, and expert guidance—unlocking unparalleled opportunities for collaboration and career advancement. A Global Vision for Expansion SiegPath's rebranding marks the first step in global expansion strategy, leveraging fintech innovation to strengthen its presence in key markets. By integrating advanced technologies and financial solutions, SiegPath empowers traders and brokers worldwide.

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