Latest news with #MalcolmdeMayo
Forbes
6 days ago
- Business
- Forbes
Redefining Financial Services With Edge AI
The Financial services industry is evolving rapidly, driven by the need for speed, personalization, and enhanced security. Edge AI is unlocking new ways to process data faster, protect assets, and deliver exceptional customer experiences, transforming the way financial institutions operate. Speed has always governed success in financial markets. Whether it's detecting fraudulent activity or executing trades, the ability to process information instantly is non-negotiable. Traditional systems relying on centralized data centers introduce latency, making real-time responsiveness a challenge. Edge AI turns that model on its head. By enabling data processing directly at the edge where it's generated, tasks like real-time trading, fraud detection, and loan approvals can be carried out with near-zero delay. Financial institutions gain the agility to make better decisions faster, protecting assets, improving accuracy, and maintaining customer trust. 'Edge AI is more than just a technology upgrade in financial services; it's a paradigm shift,' says Malcolm deMayo, Vice President, Financial Services at NVIDIA. 'Institutions that harness Edge AI today will lead the charge into a smarter, more agile tomorrow.' Fraud prevention is an evolving race, and speed is essential. Financial institutions must detect and intercept unauthorized transactions before they escalate into significant issues. Yet, identifying threats in real time requires analyzing vast amounts of data from transactions, user behavior, and contextual interactions. Edge AI excels here by processing data locally and identifying anomalies as they happen. Unlike traditional models that increase response time by sending data to distant servers for validation, edge AI delivers instant results. Payment interruptions are minimized, false positives are reduced, and genuine threats are neutralized without delay. This proactive approach strengthens customer confidence and protects financial systems from rapidly changing cyber threats. The modern consumer expects their financial services to go beyond one-size-fits-all solutions. From personalized spending insights to investment portfolios tailored to individual risk tolerances, today's customers value relevance and immediacy. Edge AI makes hyper-personalization a reality. By analyzing data from user behavior and preferences in real time, financial institutions can deliver customized experiences that foster loyalty and trust. For example, a bank could recommend tailored investment opportunities to a customer the moment they log into their mobile app or provide location-specific offers based on spending patterns. By meeting customers where they are and adapting services to their preferences, financial organizations enhance their competitive edge in an increasingly consumer-driven market. Accomplishing this transformation isn't without hurdles. Many financial institutions face fragmented infrastructures, where legacy systems and scattered data silos slow down innovation. Integrating AI seamlessly into existing operations becomes complex, and costs associated with technological upgrades can appear to be prohibitive. Similarly, ensuring compliance with global data privacy regulations while adopting large-scale AI solutions adds further layers of complexity. Financial institutions must address these barriers effectively to unlock edge AI's full potential. Beyond operational efficiency and customer experience, security remains paramount. Financial institutions are custodians of sensitive client data, making them prime targets for cyberattacks. Enhancing data protection while maintaining trust is crucial. Edge AI offers a robust safeguard for security by reducing reliance on transferring sensitive information across expansive networks. Instead of sending data to centralized servers for processing, edge AI handles it locally, within secure, controlled environments. This minimizes vulnerabilities, enhances resilience against breaches, and ensures compliance with policies like GDPR, D.O.R.A. and PSD2. Customers and regulators both benefit from this holistic approach to data privacy and security. Scaling AI solutions across diverse environments—from urban branches to ATMs in rural landscapes—is another area where edge AI shines. Uniform deployment is critical for consistency, yet the logistical challenges of supporting AI at this scale can be daunting. Edge-enabled systems help automate and orchestrate this process, ensuring financial institutions deliver reliable and consistent services worldwide. Whether optimizing ATM cash flow in one region or enhancing analytics for investment decisions globally, the scalability of edge AI ensures that institutions remain agile and competitive in a demanding market. At the heart of edge AI's ability to transform financial services are powerful platforms that simplify deployment and maximize potential. Solutions like Dell NativeEdge, and the Dell AI Factory with NVIDIA provide the tools needed to break through barriers, minimize complexity, and scale effectively. These platforms integrate seamlessly with existing operations, offering a pathway for institutions to adopt cutting-edge technology without overhauling established systems. Dell NativeEdge brings the power of the Dell AI Factory with NVIDIA to the edge by enabling financial institutions to securely scale their infrastructure and orchestrate AI applications across any location. With industry-leading hardware, advanced AI software, and expert consultation, these solutions empower financial organizations to drive results, fuel innovation, and redefine their potential. Edge AI is the engine driving the next wave of transformation in the financial sector. By enabling faster transactions, mitigating fraud instantly, delivering personalized customer experiences, and ensuring compliance at scale, it offers a roadmap to future-proof operations in an increasingly competitive world. The financial world is changing, and edge AI is leading the charge. To explore how you can leverage edge AI for your organization's success, check out the eBook Transforming Financial Services with AI and Edge Computing. Your first step to achieving smarter, faster, and more secure financial solutions.
Channel Post MEA
16-06-2025
- Business
- Channel Post MEA
Dataiku And NVIDIA Unveil FSI Blueprint AI Systems In Financial services.
Dataiku has announced a new FSI Blueprint for deploying agentic AI systems in financial services. This blueprint is designed to help banking and insurance institutions create, connect, and control intelligent AI agents at scale—with the governance, performance, and flexibility required for production in these highly regulated industries. This announcement builds on Dataiku's integration in the NVIDIA Enterprise AI Factory validated design, which helps enterprises accelerate the development and deployment of secure, scalable AI infrastructure. 'AI agents represent the next major shift in enterprise productivity, and banks are among the earliest adopters,' said Malcolm deMayo, Vice President of Global Financial Services at NVIDIA. 'This new bank blueprint from Dataiku, accelerated by NVIDIA, combines reusable components that enable banks to automate thousands of repetitive manual tasks. This allows institutions to deploy intelligent systems that can adapt to complex workflows and evolve responsibly over time—all while meeting regulatory and compliance requirements through central governance.' The FSI Blueprint combines The Universal AI Platform and Dataiku LLM Mesh with NVIDIA NIMmicroservices, NVIDIA NeMo, and GPU-accelerated infrastructure. It leverages AI agents powered by NVIDIA to provide financial institutions with a secure and modular foundation for building agentic AI solutions across use cases like fraud detection, customer service, risk analysis, and operations automation. 'Financial institutions are under pressure to operationalize AI faster, while managing risk, regulation, and complexity,' said John McCambridge, Global Head of Financial Services at Dataiku. 'This FSI Blueprint helps banks and insurers move beyond experimentation, delivering trusted AI agents that are observable, cost-controlled, and designed to deliver meaningful business value.' The Dataiku LLM Mesh offers native integration with NVIDIA NIM to simplify deployment of open, proprietary, and custom models within financial environments. Guardrails within Dataiku LLM Guard Services, such as Cost Guard and Quality Guard, provide built-in oversight, giving IT and product teams control over model usage, cost optimization, and performance evaluation. The collaboration between Dataiku and NVIDIA was unveiled during NVIDIA GTC Paris at VivaTech 2025. The FSI Blueprint represents the first in a series of joint initiatives to drive agentic AI innovation in highly regulated industries, with expansion planned into life sciences and energy. Financial institutions interested in deploying the FSI Blueprint can engage directly with joint go-to-market teams from Dataiku and NVIDIA. To learn from Dataiku and NVIDIA experts how to seamlessly integrate GenAI and agents across different compute environments and front-end applications, register for the FSI Blueprint webinar here:
Techday NZ
12-06-2025
- Business
- Techday NZ
KX & NVIDIA launch AI Banker Agent to boost global trading
KX has announced the general availability of its first production-grade agentic AI blueprint for global markets trading, built in collaboration with NVIDIA and named the AI Banker Agent. The AI Banker Agent is designed to assist financial institutions in responding to increased market volatility driven by trade tensions, inflation, and other global economic factors. By applying agentic AI technologies across capital markets, banks can accelerate their responses to events such as regime shifts, liquidity issues, and complex risk scenarios. KX and NVIDIA have developed a system that combines NVIDIA's suite of AI technologies—including NeMo, Nemotron, and NIM microservices—with KX's high-performance time series and vector database. This integration is intended to deliver workflow automation, real-time intelligence, and autonomous decision-making for financial institutions. The collaboration has also resulted in the launch of an AI Lab, where financial institutions can experiment with AI-driven workflows in a regulatory-compliant environment. This facility aims to help firms prototype and deploy new solutions that fit within the regulatory frameworks governing the financial sector. Platform capabilities The KX AI Banker Agent Blueprint packages domain-specific workflows, compliance-ready safeguards, and pre-tuned model logic, allowing organisations to adapt the system to their specific data, policies, and trading strategies. The software supports real-time, event-driven architectures and allows for the processing of large data volumes, which is essential for the rapid, reliable decision-making needed in live trading environments. Ashok Reddy, Chief Executive Officer at KX, highlighted the significance of this release, stating in full: "This is a critical moment for AI within capital markets, and the time is now to integrate a truly transformational AI strategy to navigate regime shifts, liquidity events and complex risk environments. We've entered the age of applied AI in capital markets—this is no longer theoretical. With the AI Banker Agent, we've made the AI Factory real. It's engineered for the speed, complexity, and regulatory rigor of global markets, giving banks a foundation to modernize faster and serve clients better." According to KX, the AI Banker Agent can enhance banks' market coverage, accelerate research capacity, and enable more personalised client service. This in turn can create new revenue opportunities, expand fee-based offerings, and support business growth. Industry perspective Malcolm deMayo, Global Vice President of Financial Services Industry at NVIDIA, commented on the broader impact of the solution, stating: "To thrive in today's competitive and volatile markets, Corporate Bankers, Private Bankers, and Wealth Managers are looking to provide clients with personalized advice in real time. The AI Banker Agent, powered by NVIDIA NIM microservices, NVIDIA NeMo, AI Q and KX harvests valuable insights from rich tabular and unstructured datasets and serves as an 'easy button' giving relationship managers a competitive edge." The system is being positioned as an assistant for research, a tool for relationship management, and a support for personalised advisor services. Through these functions, banks can scale their market research, improve client engagement, and expand advisory capabilities. Partner involvement Capgemini is among the technology partners helping financial institutions operationalise the AI Banker Agent. The company has already worked with KX and NVIDIA and sees opportunity for significant impact in the sector. Pierre-Olivier Bouée, Head of Financial Services for Europe, Capgemini, said: "Capital market leaders worldwide recognize the value of extracting insights at speed and see the potential to transform their trading operations. Capgemini's expertise in AI and decades of experience in financial services allows us to work as a true partner to financial institutions implementing the AI Banker Agent to drive real impact in their business." Experimentation and adoption The AI Lab created by KX and NVIDIA offers enterprises the means to experiment with AI-driven workflows. Financial institutions can use this space to accelerate prototyping and proof-of-concept projects in a setting designed to comply with regulatory requirements. According to KX, this lab will facilitate innovation, solution testing, and optimisation for financial organisations looking to enhance their AI capabilities. By harnessing real-time data and autonomous workflows, KX and its partners aim to support banks and other financial entities in adapting to the rapid changes characterising today's global trading environment.
Business Wire
11-06-2025
- Business
- Business Wire
KX Launches Its First Agentic AI Blueprint for Global Markets Trading Built With NVIDIA
NEW YORK & PARIS--(BUSINESS WIRE)-- KX, the leading high-performance analytical database for the AI era, today announced the general availability of its first production-grade Agentic AI Blueprint: the AI Banker Agent. Built with NVIDIA AI and specifically tailored for sell-side global markets banks, this collaboration delivers the first-of-its-kind agentic AI designed to transform how banks operate in fast-moving trading environments. "This is a critical moment for AI within capital markets, and the time is now to integrate a truly transformational AI strategy to navigate regime shifts, liquidity events and complex risk environments," said Ashok Reddy, CEO, KX. Banks are at an inflection point. As AI-native hedge funds and early adopters set new performance benchmarks, traditional institutions must act now or risk falling behind. The AI Banker Agent helps teams work faster, increase market coverage, and rapidly deliver highly personalized service. This unlocks new revenue opportunities, improves customer satisfaction, expands fee-based offerings, and drives growth in assets under management. The KX AI Banker Agent Blueprint combines NVIDIA's AI stack, including NVIDIA NeMo, NVIDIA Nemotron, and NVIDIA NIM microservices, as well as NVIDIA accelerated computing with KX's high-performance time series and vector database to deliver intelligent, real-time workflows. It delivers real-time intelligence and autonomous decision-making capabilities by packaging domain-specific workflows, compliance-ready safeguards, and pre-tuned model logic, giving firms a reliable foundation they can adapt to their own data, policies, and trading strategies. "This is a critical moment for AI within capital markets, and the time is now to integrate a truly transformational AI strategy to navigate regime shifts, liquidity events and complex risk environments," said Ashok Reddy, CEO, KX. "We've entered the age of applied AI in capital markets—this is no longer theoretical. With the AI Banker Agent, we've made the AI Factory real. It's engineered for the speed, complexity, and regulatory rigor of global markets, giving banks a foundation to modernize faster and serve clients better." From signal detection to dynamic risk analysis, KX powers the low-latency, event-driven architectures that agentic AI requires to operate effectively in live trading scenarios. The KX platform's ability to process massive data volumes in real-time, combined with its proven track record in financial services, provides the speed, scale, and reliability essential for supporting these sophisticated AI workflows. 'To thrive in today's competitive and volatile markets, Corporate Bankers, Private Bankers, and Wealth Managers are looking to provide clients with personalized advice in real time,' said Malcolm deMayo, Global Vice President of Financial Services Industry, NVIDIA. 'The AI Banker Agent, powered by NVIDIA NIM microservices, NVIDIA NeMo, AI Q and KX harvests valuable insights from rich tabular and unstructured datasets and serves as an 'easy button' giving relationship managers a competitive edge.' Banks can deploy the AI Banker Agent from KX to impact their business in the following ways: AI-Powered Research Assistant: Unlocks on-demand high-quality research at scale, enabling more complete market coverage with the same number of analysts producing better outcomes and managing risks in real time AI-Powered Relationship Manager: Transforms client engagement into a revenue driver through hyper responsive service and deeper personalization Personalized Portfolio Manager: Enables premium advisory services with continuous personalization, expanding fee-based models and growing AUM To ensure rapid market adoption and seamless implementation, leading strategic technology partners including Capgemini, are actively involved in operationalizing these blueprints across the banking sector. Their participation provides clients with a clear, tested path from innovation to production deployment, helping financial institutions realize the promise of AI Factories through trusted, experienced partners. 'Capital market leaders worldwide recognize the value of extracting insights at speed and see the potential to transform their trading operations,' said Pierre-Olivier Bouée, Head of Financial Services for Europe, Capgemini. 'Capgemini's expertise in AI and decades of experience in financial services allows us to work as a true partner to financial institutions implementing the AI Banker Agent to drive real impact in their business.' In addition to demonstrating the capabilities of the AI Banker Agent at NVIDIA's GTC Paris June 10-12, KX and NVIDIA have also launched a dedicated AI Lab for enterprises to conduct their own experimentation with AI-driven workflows. Participants will have the opportunity to accelerate prototyping and proof-of-concept development, empowering them to innovate, test and optimize their solutions in a real-world, regulatory-compliant environment. Interested parties are invited to register. About KX KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively. KX is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. 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Yahoo
11-06-2025
- Business
- Yahoo
Dataiku Unveils Enterprise-Grade Blueprint to Accelerate Agentic AI in Financial Services Built with NVIDIA
Enterprise-grade architecture for deploying AI agents across banking and insurance, combines The Universal AI Platform™ from Dataiku with NVIDIA accelerated computing NEW YORK & PARIS, June 11, 2025 (GLOBE NEWSWIRE) -- Dataiku, the Universal AI Platform™ today announced a new FSI Blueprint for deploying agentic AI systems in financial services. This blueprint is designed to help banking and insurance institutions create, connect, and control intelligent AI agents at scale—with the governance, performance, and flexibility required for production in these highly regulated industries. This announcement builds on Dataiku's integration in the NVIDIA Enterprise AI Factory validated design, which helps enterprises accelerate the development and deployment of secure, scalable AI infrastructure. 'AI agents represent the next major shift in enterprise productivity, and banks are among the earliest adopters,' said Malcolm deMayo, Vice President of Global Financial Services at NVIDIA. 'This new bank blueprint from Dataiku, accelerated by NVIDIA, combines reusable components that enable banks to automate thousands of repetitive manual tasks. This allows institutions to deploy intelligent systems that can adapt to complex workflows and evolve responsibly over time—all while meeting regulatory and compliance requirements through central governance.' The FSI Blueprint combines The Universal AI Platform and Dataiku LLM Mesh with NVIDIA NIMmicroservices, NVIDIA NeMo, and GPU-accelerated infrastructure. It leverages AI agents powered by NVIDIA to provide financial institutions with a secure and modular foundation for building agentic AI solutions across use cases like fraud detection, customer service, risk analysis, and operations automation. 'Financial institutions are under pressure to operationalize AI faster, while managing risk, regulation, and complexity,' said John McCambridge, Global Head of Financial Services at Dataiku. 'This FSI Blueprint helps banks and insurers move beyond experimentation, delivering trusted AI agents that are observable, cost-controlled, and designed to deliver meaningful business value.' The Dataiku LLM Mesh offers native integration with NVIDIA NIM to simplify deployment of open, proprietary, and custom models within financial environments. Guardrails within Dataiku LLM Guard Services, such as Cost Guard and Quality Guard, provide built-in oversight, giving IT and product teams control over model usage, cost optimization, and performance evaluation. The collaboration between Dataiku and NVIDIA was unveiled during NVIDIA GTC Paris at VivaTech 2025. The FSI Blueprint represents the first in a series of joint initiatives to drive agentic AI innovation in highly regulated industries, with expansion planned into life sciences and energy. Financial institutions interested in deploying the FSI Blueprint can engage directly with joint go-to-market teams from Dataiku and NVIDIA. To learn from Dataiku and NVIDIA experts how to seamlessly integrate GenAI and agents across different compute environments and front-end applications, register for the FSI Blueprint webinar here: About Dataiku Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Agnostic by design, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality — empowering customers to future-proof their AI initiatives. With built-in governance and no-, low-, and full-code capabilities, Dataiku enables the world's largest companies to confidently build and manage differentiated AI that drives measurable business value. Dataiku has over 1,100 employees across 13 offices worldwide, serves over 700 enterprise customers, and is backed by investors, including Wellington Management, Battery, CapitalG, ICONIQ, and FirstMark. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. ###CONTACT: Kevin McLaughlin Dataiku press@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
