Latest news with #financialresearch
Finextra
4 days ago
- Business
- Finextra
Thuird Bridge joins Aiera AI consortium
Third Bridge, a leading expert network, today announced its membership of a significant new consortium led by Aiera, a pioneer in generative AI solutions for financial professionals. 0 This landmark collaboration is set to advance AI-driven financial research, establishing a new standard for collaborative and compliant innovation across the financial industry. As the sole expert network within the consortium, Third Bridge brings its unparalleled library of unique private company data, enriched by its in-house sector analysts and exclusive investor-led expert interviews. The consortium, which proudly includes 10 of Wall Street's largest investment banks, is focused on accelerating AI innovation. Its primary goals are to enhance language model accuracy, fortify intellectual property protections, and deliver a unified, cutting-edge solution for clients integrating generative AI into their workflows. "Third Bridge is thrilled to be a part of this groundbreaking initiative," said Emmanuel Tahar, CEO of Third Bridge. "In a rapidly evolving financial landscape, embracing technological advancements is paramount. Our involvement in this consortium underscores our deep commitment to fostering innovation while upholding the highest standards of accuracy, intellectual property protection, and content integrity. We believe this collaboration will not only amplify the value we provide to our clients but also elevate the entire financial research ecosystem." This strategic partnership will enable Third Bridge to actively contribute to and benefit from the development of clear industry standards for intellectual property protection, secure content access, accurate chat-prompt responses, and transparent citation integrity. By integrating Third Bridge's high-quality content library directly into Aiera's solutions, investment professionals and industry analysts will be empowered with even more informed, real-time decision-making capabilities across their critical investment workflows. Mike Grubert, Managing Director at Third Bridge, added, "We are immensely proud to lend our expertise and content to this consortium. This collaboration signifies a collective commitment to building a secure, scalable AI ecosystem that fundamentally enhances the value of research and rigorously safeguards intellectual property. Our clients will gain unprecedented access to cutting-edge AI tools specifically engineered to meet the stringent demands of the financial industry, ensuring they remain at the absolute forefront of market intelligence." The Aiera consortium also includes Microsoft as a strategic technology partner further solidifying the initiative's robust foundation and commitment to excellence. A dedicated Buy-Side Advisory Council, comprised of senior leaders from leading long-only and hedge-fund firms, has been established to provide invaluable strategic insights and product testing feedback, ensuring the technology offering precisely meets the practical needs of financial professionals.
Finextra
5 days ago
- Business
- Finextra
Thuird Bridge joins Aeria AI consortium
Third Bridge, a leading expert network, today announced its membership of a significant new consortium led by Aiera, a pioneer in generative AI solutions for financial professionals. 0 This landmark collaboration is set to advance AI-driven financial research, establishing a new standard for collaborative and compliant innovation across the financial industry. As the sole expert network within the consortium, Third Bridge brings its unparalleled library of unique private company data, enriched by its in-house sector analysts and exclusive investor-led expert interviews. The consortium, which proudly includes 10 of Wall Street's largest investment banks, is focused on accelerating AI innovation. Its primary goals are to enhance language model accuracy, fortify intellectual property protections, and deliver a unified, cutting-edge solution for clients integrating generative AI into their workflows. "Third Bridge is thrilled to be a part of this groundbreaking initiative," said Emmanuel Tahar, CEO of Third Bridge. "In a rapidly evolving financial landscape, embracing technological advancements is paramount. Our involvement in this consortium underscores our deep commitment to fostering innovation while upholding the highest standards of accuracy, intellectual property protection, and content integrity. We believe this collaboration will not only amplify the value we provide to our clients but also elevate the entire financial research ecosystem." This strategic partnership will enable Third Bridge to actively contribute to and benefit from the development of clear industry standards for intellectual property protection, secure content access, accurate chat-prompt responses, and transparent citation integrity. By integrating Third Bridge's high-quality content library directly into Aiera's solutions, investment professionals and industry analysts will be empowered with even more informed, real-time decision-making capabilities across their critical investment workflows. Mike Grubert, Managing Director at Third Bridge, added, "We are immensely proud to lend our expertise and content to this consortium. This collaboration signifies a collective commitment to building a secure, scalable AI ecosystem that fundamentally enhances the value of research and rigorously safeguards intellectual property. Our clients will gain unprecedented access to cutting-edge AI tools specifically engineered to meet the stringent demands of the financial industry, ensuring they remain at the absolute forefront of market intelligence." The Aiera consortium also includes Microsoft as a strategic technology partner further solidifying the initiative's robust foundation and commitment to excellence. A dedicated Buy-Side Advisory Council, comprised of senior leaders from leading long-only and hedge-fund firms, has been established to provide invaluable strategic insights and product testing feedback, ensuring the technology offering precisely meets the practical needs of financial professionals.
Geeky Gadgets
30-05-2025
- Business
- Geeky Gadgets
AI Investment Research Agent "Ask David" Built by JP Morgan
What if the future of investment research wasn't just about crunching numbers, but about asking the right questions—and getting answers in seconds? Enter JP Morgan's 'Ask David,' a new AI system designed to transform how financial professionals navigate the overwhelming sea of market data. In an industry where time is money and precision is paramount, this multi-agent AI doesn't just sift through spreadsheets; it deciphers complex datasets, personalizes insights, and even anticipates the needs of its users. By blending automation with human expertise, JP Morgan has created a tool that doesn't just support decision-making—it redefines it. Could this be the new gold standard for financial intelligence? In this deep dive, LangChain uncover how 'Ask David' operates at the intersection of innovative technology and high-stakes finance. You'll discover how its multi-agent architecture enables seamless integration of structured and unstructured data, delivering insights tailored to the unique demands of financial advisors, analysts, and due diligence specialists. Along the way, we'll explore the challenges JP Morgan faced in building this system, the lessons learned, and the broader implications for the financial sector. Whether you're a tech enthusiast, a finance professional, or simply curious about the future of AI, this story offers a glimpse into how innovation is reshaping one of the world's most complex industries. Sometimes, the right question can change everything. AI-Powered Investment Research The Purpose Behind 'Ask David' 'Ask David' was developed to tackle the challenges posed by the vast and intricate nature of financial data. Investment research often involves processing extensive datasets, a task that is both time-intensive and laborious. The system automates these processes, offering precise and curated answers to client queries. By significantly reducing manual effort, 'Ask David' enables financial advisors and analysts to dedicate more time to strategic decision-making. Its ultimate aim is to enhance both the efficiency and accuracy of investment research, making sure professionals can navigate complex financial landscapes with greater ease. How 'Ask David' Operates At its foundation, 'Ask David' functions as a domain-specific question-answering (QA) agent. It seamlessly integrates structured data, such as spreadsheets and databases, with unstructured data, including documents, emails, and audio recordings. Through the use of proprietary analytics and visualization tools, the system generates actionable insights in real time. This integration ensures that users receive comprehensive, relevant, and tailored responses to their specific inquiries. The system's workflow begins with analyzing the user's intent to understand the nature of the query. It then retrieves and processes data, personalizing the output based on the user's role and requirements. Reflection nodes are employed to verify the quality of the responses, while summarization tools ensure that the outputs are concise and directly applicable. This meticulous process guarantees that the insights provided are both accurate and actionable. JP Morgan's Ask David AI: The Future of Investment Research? Watch this video on YouTube. Uncover more insights about AI-powered multi-agent system in previous articles we have written. The Multi-Agent Architecture of 'Ask David' The architecture of 'Ask David' is built around a multi-agent framework, with a supervisor agent orchestrating the workflow. Specialized sub-agents are assigned distinct tasks, making sure a streamlined and efficient process. These sub-agents include: Structured Data Integration: Responsible for processing and analyzing data from spreadsheets and databases. Responsible for processing and analyzing data from spreadsheets and databases. Unstructured Data Processing: Extracts valuable insights from documents, emails, and other text-based sources. Extracts valuable insights from documents, emails, and other text-based sources. Analytics Generation: Produces visualizations and actionable insights to aid decision-making. This architecture is designed to handle complex queries with precision. The system's ability to combine structured and unstructured data ensures that users receive a holistic view of the information they need, tailored to their specific roles and objectives. Personalization and Role-Specific Insights A defining feature of 'Ask David' is its capacity to adapt its responses based on the user's role. This personalization ensures that the insights provided are not only relevant but also actionable. For instance: Financial Advisors: Receive high-level summaries that assist quick and informed decision-making. Receive high-level summaries that assist quick and informed decision-making. Due Diligence Specialists: Access detailed analyses that support in-depth evaluations and assessments. The system uses large language models (LLMs) and advanced personalization algorithms to tailor its outputs. Reflection nodes play a crucial role in validating the relevance and reliability of the insights, while a human-in-the-loop approach ensures that critical decisions remain accurate and trustworthy. This balance between automation and human oversight is particularly vital in the high-stakes environment of financial decision-making. The Development Journey of 'Ask David' The creation of 'Ask David' was a methodical and iterative process. The development team began with simple agents and gradually evolved the system into a sophisticated multi-agent framework. Key steps in the development process included: Establishing evaluation metrics, such as accuracy and conciseness, tailored to the specific tasks of the system. Conducting independent evaluations of sub-agents and workflow chains to ensure the quality and reliability of outputs. Refining the system iteratively to address challenges and enhance performance over time. This structured approach allowed the team to build a scalable and reliable system while maintaining the flexibility needed for future enhancements. The focus on continuous improvement ensured that 'Ask David' could meet the evolving demands of the financial industry. Overcoming Challenges and Key Lessons Developing a domain-specific AI system like 'Ask David' presented several challenges. Achieving high accuracy required extensive human oversight and iterative refinement. Balancing automation with human expertise was essential, particularly in the context of financial decision-making. The development team identified several key lessons during the process: Fast Iterations: Rapidly addressing issues and refining functionality was critical to the system's success. Rapidly addressing issues and refining functionality was critical to the system's success. Early Evaluations: Conducting evaluations early in the development process helped identify and resolve potential problems efficiently. Conducting evaluations early in the development process helped identify and resolve potential problems efficiently. Human Oversight: Maintaining human involvement ensured the reliability and trustworthiness of the system's outputs. These insights underscore the complexities involved in building AI systems for specialized industries and highlight the importance of a balanced approach that combines automation with human expertise. The Future of AI Investment Research The potential of the 'Ask David' AI investment research extends far beyond its current capabilities. As the system continues to evolve, it is expected to handle increasingly complex queries and expand into additional use cases. By integrating advanced AI techniques, 'Ask David' can further enhance its performance and user experience, setting new benchmarks for efficiency and innovation in the financial sector. Its success serves as a testament to the fantastic potential of AI, paving the way for more new applications in finance and beyond. Key Takeaways Iterative Development: Start with simple solutions, refine continuously, and scale gradually to build robust systems. Start with simple solutions, refine continuously, and scale gradually to build robust systems. Early and Ongoing Evaluations: Use tailored metrics and independent evaluations to ensure quality and reliability. Use tailored metrics and independent evaluations to ensure quality and reliability. Human-AI Collaboration: Maintain human oversight to ensure accuracy and trustworthiness in critical applications. Media Credit: LangChain Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Globe and Mail
27-05-2025
- Business
- Globe and Mail
MarketWise Announces Appointment of Dr. David Eifrig as Chief Executive Officer
BALTIMORE, May 27, 2025 (GLOBE NEWSWIRE) -- MarketWise, Inc. (NASDAQ: MKTW) ("MarketWise" or "the Company"), a leading multi-brand digital subscription services platform that provides premium financial research, software, education, and tools for investors, today announced that Dr. David "Doc" Eifrig has been appointed Chief Executive Officer of the Company on a permanent basis, effective immediately. Dr. Eifrig has served as interim Chief Executive Officer since August 2024. Dr. Eifrig has overseen notable achievements during his tenure as interim CEO, including improved financial performance over the last two quarters. He has demonstrated a clear vision for the company's future while earning the confidence of the Board of Directors, employees, and shareholders alike. Matthew Turner, Chairman of the MarketWise board of directors remarked, "We're very pleased to have Doc at the helm in a permanent status. We believe his steady emphasis on the fundamentals of the business will bear long and steady profits for shareholders." Dr. Eifrig commented, "I am honored and excited to continue leading MarketWise as we build on our momentum and pursue new opportunities. This company has an extraordinary team and an unwavering commitment to delivering value to our customers, partners, and shareholders. I look forward to working alongside our talented employees to shape a strong and sustainable future for MarketWise. Just as importantly, I want to spread the idea that individuals can control their investing, their wealth, and their life path in a beautiful and success-filled way." Dr. Eifrig received his Bachelor of Arts from Carleton College in Minnesota. He later received a Master of Business Administration degree from Northwestern University's Kellogg School of Management, graduating with a double major in finance and international business. He went on to work for Goldman Sachs in its first derivatives group in New York and London. Dr. Eifrig subsequently earned his M.D. from the University of North Carolina at Chapel Hill and completed a Molecular Biology Fellowship at Duke University. He's a published peer-reviewed scientist as well. He finished a residency in ophthalmology before joining the company full time in 2008. Dr. Eifrig first consulted with the Company in 2004 before joining full-time several years later. Today, he remains one of its most prolific editors. He launched his health and wealth advisory Retirement Millionaire in early 2009; with tens of thousands of subscribers getting access to real world insights on personal health and wealth creation over the past three decades. His option trading advisory called Retirement Trader, which began in 2010, helped put option selling on the map and arguably has one of the best track records of all time. His conservative but dearly loved letter Income Intelligence shows folks of any age how to invest for income and not speculation. He himself professes to be a lifelong information junkie. Dr. Eifrig has also served as a member of the MarketWise Board since May 2023. About MarketWise Founded with a mission to level the playing field for self-directed investors, today MarketWise is a leading multi-brand subscription services platform providing premium financial research, software, education, and tools for investors. With 25 years of operating history, MarketWise is currently comprised of 11 primary customer facing brands, offering more than 140 products, and serving a community of over 3 million free and paid subscribers. MarketWise's products are a trusted source for high-value financial research, education, actionable investment ideas, and investment software. MarketWise is a 100% digital, direct-to-customer company offering its research across a variety of platforms including mobile, desktops, and tablets. MarketWise has a proven, agile, and scalable platform and our vision is to become the leading financial solutions platform for self-directed investors. Cautionary Statement Regarding Forward-Looking Statements This press release contains forward-looking statements within the meaning of the federal securities laws, including statements regarding the Company's ability to capitalize on growth opportunities. These forward-looking statements generally are identified by the words "believe," "project," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions, but the absence of these words does not mean that a statement is not forward-looking. Forward-looking statements are predictions, projections, and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including those described in the "Risk Factors" section of our filings with the U.S. Securities and Exchange Commission (the "SEC"), including our Annual Report on Form 10-K for the year ended December 31, 2024.
