DSA Global Conference Benefits
Knowledge & Professional Development: Gain new skills & insights from global leaders
Cutting-Edge Education: Acquire new expertise and stay current with the latest trends and technologies in data science, AI, and quantum computing.
Hands-On Workshops: Master practical techniques and tools through interactive sessions led by industry experts.
Ethical Discussions: Engage in critical conversations on the responsible and unbiased application of data, AI and quantum computing.
Cutting-Edge Education: Acquire cutting-edge skills & knowledge from leaders in data science, AI, & quantum computing
Immersive Workshops: Dive deep into practical applications and hands-on exercises to master new technologies and methodologies.
Expert-Led Seminars: Hear directly from industry pioneers and academic leaders about the latest research, trends, and future directions.
Certification Pathways: Follow structured learning paths designed to build specific skills and prepare for professional certifications.
Global Networking: Form valuable relationships that foster career growth & professional support
Peer-to-Peer Connections: Connect with professionals from around the world to share experiences and build a supportive network.
Mentorship & Collaboration: Find opportunities to be mentored by seasoned experts or collaborate on innovative projects.
Industry Leader Access: Engage directly with influential figures and thought leaders to gain unique perspectives and advice.
Career Advancement: Access exclusive networking opportunities & advice to propel your professional journey
Professional Mentorship: Connect with seasoned experts who can provide personalized guidance and support to help you achieve your career goals.
Leadership Opportunities: Gain experience and visibility by taking on leadership roles within the association's committees or local chapters.
Career Resources: Access a curated job board, resume workshops, and interview coaching to give you a competitive edge in the job market.
Publish & Present: Gain visibility by publishing your paper or giving a live presentation to a global audience
Peer-Reviewed Publications: Submit your research to be published in a DSA-supported journal and contribute to the body of knowledge in the field.
Live Speaking Opportunities: Share your expertise by presenting your work on stage at global conferences and virtual events.
Content Creation: Amplify your professional brand by writing articles, case studies, or white papers for the DSA's online platforms.
Build Your Professional Brand: Elevate your reputation & expertise within the data ecosystem
Thought Leadership: Establish your expertise by participating in panel discussions or leading workshops and webinars.
Community Recognition: Enhance your reputation by being recognized for your contributions and achievements through awards and professional distinctions.
Portfolio Development: Showcase your skills and projects by creating a professional profile and portfolio on the DSA platform, gaining visibility among peers and potential employers.
Tax-Deductible: Your attendance & travel may be tax-deductible (consult with a tax professional)
Professional Development Expense: Your conference fees are often deductible as a business expense, supporting your continued professional education and career growth.
Travel & Lodging: The costs of travel, including airfare and hotel stays, are typically deductible when the primary purpose of the trip is professional development.
Meal & Entertainment Deductions: You may be able to deduct a portion of your meal expenses incurred while attending the conference.
Exclusive Access: Be the first to see new AI and quantum computing tech, products, & services from partners
Partner Showcases: Get an exclusive first look at cutting-edge tools and platforms from our industry partners before they are released to the public.
Product Demos: Participate in live demonstrations and Q&A sessions to understand how the latest AI and quantum computing products and services can be applied to your work.
Beta Testing Opportunities: Be invited to join private beta programs, allowing you to provide feedback and influence the development of new technologies.
Travel Discounts & Financial Benefits: Take advantage of special pricing on travel & accommodations
Exclusive Travel Deals: Access special rates on flights, rental cars, and hotels through partnerships with leading travel providers.
Conference Fee Discounts: Enjoy reduced registration fees for members, making attendance at professional events more affordable.
Financial Resources: Find information and guides on maximizing your tax deductions and managing expenses related to professional development.
AI & Data Science: Fueling the Global Financial Revolution
Shape the Future of Finance at the DSA Conference in San Francisco
Reimagine the Financial Landscape
Join us in San Francisco for a transformative experience that will redefine the future of finance. Immerse yourself in cutting-edge insights, thought-provoking discussions, and unparalleled networking opportunities with industry leaders and visionaries. Explore the latest advancements in AI and data science, and discover how these technologies are revolutionizing the financial world.
Why Attend?
Ignite Innovation: Learn from industry pioneers and discover groundbreaking financial technologies.
Network with the Elite: Connect with leading experts, investors, and entrepreneurs.
Shape the Future: Gain the knowledge and connections to drive innovation, solve complex challenges, and reshape the financial industry.
By attending the DSA Conference, you'll gain the tools and connections to lead the charge. We aim to foster a collaborative environment where innovative ideas can flourish and drive financial success.
Key Conference Tracks:
Advanced Financial Modeling and Prediction: Explore cutting-edge techniques for forecasting market trends, assessing risk, and optimizing financial performance.
Algorithmic Trading and Investment Strategies: Discover innovative approaches to automated trading, portfolio optimization, and risk management.
FinTech and Innovation: Uncover the latest trends and breakthroughs in digital finance, including blockchain, cryptocurrency, and payments.
Conference Highlights:
Inspiring Keynotes: Hear from renowned financial experts and data scientists who are shaping the future of the industry.
Engaging Panel Discussions: Participate in expert roundtables on critical topics, such as the ethical implications of AI in finance and the future of banking.
Hands-on Workshops and Tutorials: Enhance your skills through practical training sessions covering a wide range of data science and AI techniques.
Startup Showcase: Discover promising FinTech companies and explore investment opportunities.
Networking Events: Connect with industry peers, build relationships, and foster collaborations.
Exhibition Area: Explore the latest products and services from leading vendors in the financial technology space.
Poster Sessions: Showcase your research and ideas to a wider audience.
Join us in San Francisco and be part of the revolution.
Reimagine the Financial Landscape
Join us in San Francisco for a transformative experience that will redefine the future of finance. Immerse yourself in cutting-edge insights, thought-provoking discussions, and unparalleled networking opportunities with industry leaders and visionaries. Explore the latest advancements in AI and data science, and discover how these technologies are revolutionizing the financial world.
Why Attend?
Ignite Innovation: Learn from industry pioneers and discover groundbreaking financial technologies.
Network with the Elite: Connect with leading experts, investors, and entrepreneurs.
Shape the Future: Gain the knowledge and connections to drive innovation, solve complex challenges, and reshape the financial industry.
By attending the DSA Conference, you'll gain the tools and connections to lead the charge. We aim to foster a collaborative environment where innovative ideas can flourish and drive financial success.
Key Conference Tracks:
Advanced Financial Modeling and Prediction: Explore cutting-edge techniques for forecasting market trends, assessing risk, and optimizing financial performance.
Algorithmic Trading and Investment Strategies: Discover innovative approaches to automated trading, portfolio optimization, and risk management.
FinTech and Innovation: Uncover the latest trends and breakthroughs in digital finance, including blockchain, cryptocurrency, and payments.
Conference Highlights:
Inspiring Keynotes: Hear from renowned financial experts and data scientists who are shaping the future of the industry.
Engaging Panel Discussions: Participate in expert roundtables on critical topics, such as the ethical implications of AI in finance and the future of banking.
Hands-on Workshops and Tutorials: Enhance your skills through practical training sessions covering a wide range of data science and AI techniques.
Startup Showcase: Discover promising FinTech companies and explore investment opportunities.
Networking Events: Connect with industry peers, build relationships, and foster collaborations.
Exhibition Area: Explore the latest products and services from leading vendors in the financial technology space.
Poster Sessions: Showcase your research and ideas to a wider audience.
Join us in San Francisco and be part of the revolution.
We are in the process of finalizing dates and details.
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
Investors: Individuals and institutions looking to improve decision-making using data science techniques and data-driven financial technologies.
Traders: Professionals involved in buying and selling financial instruments, who can benefit from AI-powered trading strategies and tools.
AI and Data Science Professionals:
Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers
Financial professionals interested in AI and data-driven insights: Anyone working in the financial industry who wants to stay up-to-date on the latest trends and innovations.
Government Officials and Regulators Involved in Financial Technology Policy: Policymakers and regulators shaping the regulatory landscape for AI-driven financial services.
Financial Regulators: Policymakers responsible for overseeing the financial industry can benefit from understanding the implications of AI and data science on financial stability, consumer protection, and market integrity.
Central Bankers: Monetary authorities can leverage AI and data science to improve forecasting, risk management, and monetary policy implementation.
Entrepreneurs and investors in the FinTech space: Individuals involved in starting and funding new financial technology companies.
Academics and researchers studying the intersection of finance and technology: Scholars and researchers exploring the theoretical and practical aspects of AI in finance.
Economists: Researchers and analysts can explore the economic implications of AI-driven financial innovation, including its impact on growth, employment, and inequality.
Actuaries: Professionals involved in risk assessment and pricing can use AI and data science to improve their models and enhance risk management practices.
Insurance Professionals: Insurance companies can benefit from AI and data science to improve underwriting, claims processing, and fraud detection.
Accountants: Accountants can leverage AI and data science to streamline processes, enhance audit quality, and gain deeper insights into financial data.
Traders: Professionals involved in buying and selling financial instruments, who can benefit from AI-powered trading strategies and tools.
AI and Data Science Professionals:
Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers
Financial professionals interested in AI and data-driven insights: Anyone working in the financial industry who wants to stay up-to-date on the latest trends and innovations.
Government Officials and Regulators Involved in Financial Technology Policy: Policymakers and regulators shaping the regulatory landscape for AI-driven financial services.
Financial Regulators: Policymakers responsible for overseeing the financial industry can benefit from understanding the implications of AI and data science on financial stability, consumer protection, and market integrity.
Central Bankers: Monetary authorities can leverage AI and data science to improve forecasting, risk management, and monetary policy implementation.
Entrepreneurs and investors in the FinTech space: Individuals involved in starting and funding new financial technology companies.
Academics and researchers studying the intersection of finance and technology: Scholars and researchers exploring the theoretical and practical aspects of AI in finance.
Economists: Researchers and analysts can explore the economic implications of AI-driven financial innovation, including its impact on growth, employment, and inequality.
Actuaries: Professionals involved in risk assessment and pricing can use AI and data science to improve their models and enhance risk management practices.
Insurance Professionals: Insurance companies can benefit from AI and data science to improve underwriting, claims processing, and fraud detection.
Accountants: Accountants can leverage AI and data science to streamline processes, enhance audit quality, and gain deeper insights into financial data.
Financial Scenario Planning, Modeling and Prediction
Keynote: A renowned financial expert discussing the transformative impact of data science and AI on scenario planning, financial modeling and predictive analytics.
Panel Discussion: Industry leaders debating the ethical implications of AI-driven financial predictions.
Workshops: Hands-on sessions on time series analysis, risk analysis and modeling, and sentiment analysis.
Lightning Talks: Short presentations on innovative research and applications in this area.
Algorithmic Trading and Investment Strategies
Case Studies: Real-world examples of successful AI-powered trading strategies.
Algorithm Investment & Trading: How to develop innovative investment and trading algorithms.
Roundtable Discussions: Exploring the challenges and opportunities of high-frequency trading.
Fireside Chat: A conversation with a prominent hedge fund manager on the future of AI in finance.
Financial Technology (FinTech) and Innovation
Startup Showcase: Presentations from promising FinTech startups.
Investor Panel: Discussions on funding trends and investment opportunities in FinTech.
Regulatory Roundtable: Exploring the regulatory landscape for AI-driven financial services.
Future Trends Session: Experts sharing their vision for the future of FinTech and its impact on society.
Optional Conference Topics
Data Science & AI in Global Finance & Investing: Explore the transformative power of data science and artificial intelligence in revolutionizing global finance and investing. Delve into cutting-edge applications such as data science and AI-powered investment decision making, algorithmic trading, risk assessment, fraud detection, and portfolio optimization.
Central Banks Policy: Gain insights into the evolving landscape of central bank policies worldwide. Analyze the impact of monetary policies, quantitative easing, and interest rate adjustments on global financial markets and economic stability.
Emerging Markets Investing: Discover the opportunities and challenges presented by emerging markets. Understand the factors driving growth, assess investment risks, and explore strategies for navigating these dynamic economies.
BRICS Policy: Examine the collective influence of the BRICS nations (Brazil, Russia, India, China, and South Africa) on the global financial landscape. Analyze their economic policies, trade relations, and geopolitical dynamics.
US Dollar Scenarios: Evaluate the future trajectory of the US dollar as the world's reserve currency. Consider potential scenarios, including its appreciation, depreciation, or a shift towards a multipolar currency system.
Blockchain Technology: Explore the disruptive potential of blockchain technology in finance. Discuss its applications in areas such as cryptocurrency, smart contracts, decentralized finance (DeFi), and supply chain management.
Global Financial Risk: Identify and assess emerging global financial risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for mitigating these risks and building resilience.
Additional Conference Features
Networking Events: Social gatherings and receptions to facilitate connections among attendees.
Workshops and Tutorials: Hands-on training sessions for attendees of varying skill levels.
Keynote: A renowned financial expert discussing the transformative impact of data science and AI on scenario planning, financial modeling and predictive analytics.
Panel Discussion: Industry leaders debating the ethical implications of AI-driven financial predictions.
Workshops: Hands-on sessions on time series analysis, risk analysis and modeling, and sentiment analysis.
Lightning Talks: Short presentations on innovative research and applications in this area.
Algorithmic Trading and Investment Strategies
Case Studies: Real-world examples of successful AI-powered trading strategies.
Algorithm Investment & Trading: How to develop innovative investment and trading algorithms.
Roundtable Discussions: Exploring the challenges and opportunities of high-frequency trading.
Fireside Chat: A conversation with a prominent hedge fund manager on the future of AI in finance.
Financial Technology (FinTech) and Innovation
Startup Showcase: Presentations from promising FinTech startups.
Investor Panel: Discussions on funding trends and investment opportunities in FinTech.
Regulatory Roundtable: Exploring the regulatory landscape for AI-driven financial services.
Future Trends Session: Experts sharing their vision for the future of FinTech and its impact on society.
Optional Conference Topics
Data Science & AI in Global Finance & Investing: Explore the transformative power of data science and artificial intelligence in revolutionizing global finance and investing. Delve into cutting-edge applications such as data science and AI-powered investment decision making, algorithmic trading, risk assessment, fraud detection, and portfolio optimization.
Central Banks Policy: Gain insights into the evolving landscape of central bank policies worldwide. Analyze the impact of monetary policies, quantitative easing, and interest rate adjustments on global financial markets and economic stability.
Emerging Markets Investing: Discover the opportunities and challenges presented by emerging markets. Understand the factors driving growth, assess investment risks, and explore strategies for navigating these dynamic economies.
BRICS Policy: Examine the collective influence of the BRICS nations (Brazil, Russia, India, China, and South Africa) on the global financial landscape. Analyze their economic policies, trade relations, and geopolitical dynamics.
US Dollar Scenarios: Evaluate the future trajectory of the US dollar as the world's reserve currency. Consider potential scenarios, including its appreciation, depreciation, or a shift towards a multipolar currency system.
Blockchain Technology: Explore the disruptive potential of blockchain technology in finance. Discuss its applications in areas such as cryptocurrency, smart contracts, decentralized finance (DeFi), and supply chain management.
Global Financial Risk: Identify and assess emerging global financial risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for mitigating these risks and building resilience.
Additional Conference Features
Networking Events: Social gatherings and receptions to facilitate connections among attendees.
Workshops and Tutorials: Hands-on training sessions for attendees of varying skill levels.
San Francisco, a city of contrasts, is a vibrant tapestry woven with history, innovation, and natural beauty. Its iconic landmarks, like the Golden Gate Bridge and Alcatraz Island, stand as testaments to its rich past. The city's diverse neighborhoods, from the bustling Financial District to the bohemian Mission District, offer a kaleidoscope of cultures, cuisines, and artistic expressions. The steep, winding streets, cable cars, and stunning views of the bay create a unique urban landscape.
A fog-kissed city, San Francisco's climate is mild, often shrouded in a mysterious mist. It's a city of contradictions, where cutting-edge technology meets Victorian charm, and where the energy of innovation coexists with a laid-back, countercultural spirit. Here are some cool things to do:
North Beach Cultural Immersion: Immerse yourself in the vibrant North Beach neighborhood, known for its Italian heritage, art galleries, bookstores, and lively nightlife.
Golden Gate Bridge Adventure: Hike or bike across the iconic Golden Gate Bridge, offering breathtaking views of the city skyline and the Pacific Ocean.
Alcatraz Island Escape: Take a ferry to Alcatraz Island, a former federal penitentiary, and explore its chilling history and stunning views of the city.
Golden Gate Park Exploration: Wander through the vast Golden Gate Park, home to diverse gardens, museums, and serene lakes, perfect for picnics and leisurely strolls.
Cable Car Ride: Experience a classic San Francisco adventure by riding a historic cable car through the city's hilly streets, offering unique views and a nostalgic journey.
A fog-kissed city, San Francisco's climate is mild, often shrouded in a mysterious mist. It's a city of contradictions, where cutting-edge technology meets Victorian charm, and where the energy of innovation coexists with a laid-back, countercultural spirit. Here are some cool things to do:
North Beach Cultural Immersion: Immerse yourself in the vibrant North Beach neighborhood, known for its Italian heritage, art galleries, bookstores, and lively nightlife.
Golden Gate Bridge Adventure: Hike or bike across the iconic Golden Gate Bridge, offering breathtaking views of the city skyline and the Pacific Ocean.
Alcatraz Island Escape: Take a ferry to Alcatraz Island, a former federal penitentiary, and explore its chilling history and stunning views of the city.
Golden Gate Park Exploration: Wander through the vast Golden Gate Park, home to diverse gardens, museums, and serene lakes, perfect for picnics and leisurely strolls.
Cable Car Ride: Experience a classic San Francisco adventure by riding a historic cable car through the city's hilly streets, offering unique views and a nostalgic journey.
Immerse yourself in the heart of innovation on this exclusive day trip to Silicon Valley.
Experience the beauty of the San Francisco Bay on this unforgettable sailing excursion.
This conference will bring together financial professionals, data scientists, AI engineers, investors, traders and policymakers to explore the transformative impact of Artificial Intelligence and Data Science on the financial sector.
We invite submissions for presentations, papers, workshops, and lightning talks across a range of compelling topics. We encourage submissions that present original research, innovative applications, case studies, and insightful analyses.
Main Conference Subject Areas
Financial Scenario Planning, Modeling and Prediction
This track will delve into the critical role of AI and data science in enhancing financial foresight. We seek contributions on:
Keynote: Submissions are invited for a keynote address by a renowned financial expert discussing the transformative impact of data science and AI on scenario planning, financial modeling, and predictive analytics.
Panel Discussion: Proposals for participation in a panel debate among industry leaders on the ethical implications of AI-driven financial predictions.
Workshops: Hands-on sessions focusing on advanced techniques in time series analysis, robust risk analysis and modeling, and sophisticated sentiment analysis for financial markets.
Lightning Talks: Short, impactful presentations on innovative research and novel applications within financial scenario planning, modeling, and prediction.
Algorithmic Trading and Investment Strategies
This track will explore the cutting-edge of automated trading and investment methodologies. We are particularly interested in:
Case Studies: Real-world examples demonstrating successful AI-powered trading strategies and their measurable outcomes.
Algorithm Investment & Trading: Presentations detailing the development of innovative investment and trading algorithms, including methodologies, backtesting results, and performance analysis.
Roundtable Discussions: Proposals for discussions exploring the challenges and opportunities presented by high-frequency trading, including regulatory considerations and market impact.
Fireside Chat: Submissions for a conversation with a prominent hedge fund manager on the future of AI in finance and its long-term implications for investment management.
Financial Technology (FinTech) and Innovation
This track will showcase the latest advancements and disruptive forces in financial technology. We welcome submissions related to:
Startup Showcase: Presentations from promising FinTech startups highlighting their innovative solutions and business models.
Investor Panel: Discussions on current funding trends, emerging investment opportunities, and challenges within the FinTech ecosystem.
Regulatory Roundtable: Exploring the evolving regulatory landscape for AI-driven financial services, including data privacy, compliance, and consumer protection.
Future Trends Session: Experts sharing their vision for the future of FinTech, its potential societal impact, and emerging technological paradigms.
Optional Conference Topics
In addition to the main subject areas, we also welcome submissions on the following optional, yet highly relevant, topics:
Data Science & AI in Global Finance & Investing: Explore the transformative power of data science and artificial intelligence in revolutionizing global finance and investing. Delve into cutting-edge applications such as data science and AI-powered investment decision-making, algorithmic trading, risk assessment, fraud detection, and portfolio optimization.
Central Banks Policy: Gain insights into the evolving landscape of central bank policies worldwide. Analyze the impact of monetary policies, quantitative easing, and interest rate adjustments on global financial markets and economic stability.
Emerging Markets Investing: Discover the opportunities and challenges presented by emerging markets. Understand the factors driving growth, assess investment risks, and explore strategies for navigating these dynamic economies.
BRICS Policy: Examine the collective influence of the BRICS nations (Brazil, Russia, India, China, and South Africa) on the global financial landscape. Analyze their economic policies, trade relations, and geopolitical dynamics.
US Dollar Scenarios: Evaluate the future trajectory of the US dollar as the world's reserve currency. Consider potential scenarios, including its appreciation, depreciation, or a shift towards a multipolar currency system.
Blockchain Technology: Explore the disruptive potential of blockchain technology in finance. Discuss its applications in areas such as cryptocurrency, smart contracts, decentralized finance (DeFi), and supply chain management.
Global Financial Risk: Identify and assess emerging global financial risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for mitigating these risks and building resilience.
Submission Types
We invite submissions across several categories to accommodate diverse contributions:
Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices.
Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that undergoes a rigorous peer-review process. Accepted papers will be published in the conference proceedings.
Experience & Insight Papers (4-6 pages, formatted for readability): This category is designed for practitioners, industry leaders, and innovators to share valuable lessons learned, practical case studies, real-world implementations, and insightful perspectives. These papers should focus on practical applications, best practices, and actionable insights that can benefit the broader community, even if they do not present novel research methodologies or extensive theoretical contributions. Submissions will undergo a peer-review process focused on clarity, relevance, and the practical value of the shared experiences.
Poster Presentations: Showcase preliminary results, ongoing research, or innovative concepts visually. Includes a dedicated poster session for discussion.
Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic in finance.
Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies.
Submission Guidelines
Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords.
Originality: Submissions must represent original work that has not been previously published or is not under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or business concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon submission portal opening.
Review Process
All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in AI, data science, and related business domains. Submissions will be evaluated based on:
Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and practical applicability
Further details on submission deadlines and the submission portal will be provided on the conference website. We encourage early submissions.
We look forward to your valuable contributions!
We invite submissions for presentations, papers, workshops, and lightning talks across a range of compelling topics. We encourage submissions that present original research, innovative applications, case studies, and insightful analyses.
Main Conference Subject Areas
Financial Scenario Planning, Modeling and Prediction
This track will delve into the critical role of AI and data science in enhancing financial foresight. We seek contributions on:
Keynote: Submissions are invited for a keynote address by a renowned financial expert discussing the transformative impact of data science and AI on scenario planning, financial modeling, and predictive analytics.
Panel Discussion: Proposals for participation in a panel debate among industry leaders on the ethical implications of AI-driven financial predictions.
Workshops: Hands-on sessions focusing on advanced techniques in time series analysis, robust risk analysis and modeling, and sophisticated sentiment analysis for financial markets.
Lightning Talks: Short, impactful presentations on innovative research and novel applications within financial scenario planning, modeling, and prediction.
Algorithmic Trading and Investment Strategies
This track will explore the cutting-edge of automated trading and investment methodologies. We are particularly interested in:
Case Studies: Real-world examples demonstrating successful AI-powered trading strategies and their measurable outcomes.
Algorithm Investment & Trading: Presentations detailing the development of innovative investment and trading algorithms, including methodologies, backtesting results, and performance analysis.
Roundtable Discussions: Proposals for discussions exploring the challenges and opportunities presented by high-frequency trading, including regulatory considerations and market impact.
Fireside Chat: Submissions for a conversation with a prominent hedge fund manager on the future of AI in finance and its long-term implications for investment management.
Financial Technology (FinTech) and Innovation
This track will showcase the latest advancements and disruptive forces in financial technology. We welcome submissions related to:
Startup Showcase: Presentations from promising FinTech startups highlighting their innovative solutions and business models.
Investor Panel: Discussions on current funding trends, emerging investment opportunities, and challenges within the FinTech ecosystem.
Regulatory Roundtable: Exploring the evolving regulatory landscape for AI-driven financial services, including data privacy, compliance, and consumer protection.
Future Trends Session: Experts sharing their vision for the future of FinTech, its potential societal impact, and emerging technological paradigms.
Optional Conference Topics
In addition to the main subject areas, we also welcome submissions on the following optional, yet highly relevant, topics:
Data Science & AI in Global Finance & Investing: Explore the transformative power of data science and artificial intelligence in revolutionizing global finance and investing. Delve into cutting-edge applications such as data science and AI-powered investment decision-making, algorithmic trading, risk assessment, fraud detection, and portfolio optimization.
Central Banks Policy: Gain insights into the evolving landscape of central bank policies worldwide. Analyze the impact of monetary policies, quantitative easing, and interest rate adjustments on global financial markets and economic stability.
Emerging Markets Investing: Discover the opportunities and challenges presented by emerging markets. Understand the factors driving growth, assess investment risks, and explore strategies for navigating these dynamic economies.
BRICS Policy: Examine the collective influence of the BRICS nations (Brazil, Russia, India, China, and South Africa) on the global financial landscape. Analyze their economic policies, trade relations, and geopolitical dynamics.
US Dollar Scenarios: Evaluate the future trajectory of the US dollar as the world's reserve currency. Consider potential scenarios, including its appreciation, depreciation, or a shift towards a multipolar currency system.
Blockchain Technology: Explore the disruptive potential of blockchain technology in finance. Discuss its applications in areas such as cryptocurrency, smart contracts, decentralized finance (DeFi), and supply chain management.
Global Financial Risk: Identify and assess emerging global financial risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for mitigating these risks and building resilience.
Submission Types
We invite submissions across several categories to accommodate diverse contributions:
Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices.
Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that undergoes a rigorous peer-review process. Accepted papers will be published in the conference proceedings.
Experience & Insight Papers (4-6 pages, formatted for readability): This category is designed for practitioners, industry leaders, and innovators to share valuable lessons learned, practical case studies, real-world implementations, and insightful perspectives. These papers should focus on practical applications, best practices, and actionable insights that can benefit the broader community, even if they do not present novel research methodologies or extensive theoretical contributions. Submissions will undergo a peer-review process focused on clarity, relevance, and the practical value of the shared experiences.
Poster Presentations: Showcase preliminary results, ongoing research, or innovative concepts visually. Includes a dedicated poster session for discussion.
Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic in finance.
Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies.
Submission Guidelines
Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords.
Originality: Submissions must represent original work that has not been previously published or is not under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or business concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon submission portal opening.
Review Process
All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in AI, data science, and related business domains. Submissions will be evaluated based on:
Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and practical applicability
Further details on submission deadlines and the submission portal will be provided on the conference website. We encourage early submissions.
We look forward to your valuable contributions!
AI & Data Science: Fueling the Global Financial Revolution
Enhanced Security Requirements for Protecting Controlled Unclassified Information
The protection of Controlled Unclassified Information (CUI) is critical to national security and economic prosperity. This conference will delve into advanced security strategies to safeguard CUI from evolving threats.
Key topics include implementing robust access controls, fortifying data integrity, and enhancing CUI availability. Additionally, the conference will explore emerging threats like advanced persistent threats (APTs) and provide strategies to mitigate risks in cloud environments.
By fostering a culture of security, organizations can empower their workforce to identify and respond to potential threats. Through the integration of advanced technologies like artificial intelligence and machine learning, organizations can strengthen their security posture and protect sensitive information.
Key topics include implementing robust access controls, fortifying data integrity, and enhancing CUI availability. Additionally, the conference will explore emerging threats like advanced persistent threats (APTs) and provide strategies to mitigate risks in cloud environments.
By fostering a culture of security, organizations can empower their workforce to identify and respond to potential threats. Through the integration of advanced technologies like artificial intelligence and machine learning, organizations can strengthen their security posture and protect sensitive information.
We are in the process of finalizing dates and details.
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
The conference is primarily designed for a diverse group of professionals who are involved in the development, deployment, and protection of Controlled Unclassified Information (CUI). This includes:
Data Science & AI Professionals:
Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers
IT and Security Professionals: IT managers, CIOs, security experts, network engineers, and cybersecurity analysts.
Government Officials and Regulators: Policymakers, regulators, and representatives from regulatory agencies.
Business and Industry Leaders: Executives and professionals from various industries such as finance, healthcare, and autonomous vehicles.
Academic and Research Community: Researchers, academics, students, and graduate students studying AI, machine learning, and cybersecurity.
Ethical AI Practitioners and Legal Professionals: Individuals concerned with the ethical implications of AI and the legal framework surrounding its development and deployment.
Data Science & AI Professionals:
Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers
IT and Security Professionals: IT managers, CIOs, security experts, network engineers, and cybersecurity analysts.
Government Officials and Regulators: Policymakers, regulators, and representatives from regulatory agencies.
Business and Industry Leaders: Executives and professionals from various industries such as finance, healthcare, and autonomous vehicles.
Academic and Research Community: Researchers, academics, students, and graduate students studying AI, machine learning, and cybersecurity.
Ethical AI Practitioners and Legal Professionals: Individuals concerned with the ethical implications of AI and the legal framework surrounding its development and deployment.
Elevating CUI Protection
Implementing Robust Access Controls: Safeguarding CUI through effective authorization and authentication mechanisms.
Fortifying Data Integrity: Ensuring CUI accuracy and reliability through data validation and encryption techniques.
Enhancing CUI Availability: Maximizing system uptime and data recovery capabilities.
Navigating the Evolving Threat Landscape
Defending Against Advanced Persistent Threats (APTs): Implementing proactive detection and response strategies.
Securing Cloud-Based CUI: Mitigating risks and ensuring compliance in cloud environments.
Implementing Zero-Trust Security Models: A paradigm shift in CUI protection.
Fostering a Culture of Security
Raising CUI Security Awareness: Educating employees and contractors on best practices and incident response procedures.
Conducting Regular Security Assessments and Audits: Identifying vulnerabilities and mitigating risks.
Leveraging Technology to Enhance CUI Security: Implementing AI and Machine Learning for advanced threat detection and response.
Implementing Robust Access Controls: Safeguarding CUI through effective authorization and authentication mechanisms.
Fortifying Data Integrity: Ensuring CUI accuracy and reliability through data validation and encryption techniques.
Enhancing CUI Availability: Maximizing system uptime and data recovery capabilities.
Navigating the Evolving Threat Landscape
Defending Against Advanced Persistent Threats (APTs): Implementing proactive detection and response strategies.
Securing Cloud-Based CUI: Mitigating risks and ensuring compliance in cloud environments.
Implementing Zero-Trust Security Models: A paradigm shift in CUI protection.
Fostering a Culture of Security
Raising CUI Security Awareness: Educating employees and contractors on best practices and incident response procedures.
Conducting Regular Security Assessments and Audits: Identifying vulnerabilities and mitigating risks.
Leveraging Technology to Enhance CUI Security: Implementing AI and Machine Learning for advanced threat detection and response.
San Francisco, a city of contrasts, is a vibrant tapestry woven with history, innovation, and natural beauty. Its iconic landmarks, like the Golden Gate Bridge and Alcatraz Island, stand as testaments to its rich past. The city's diverse neighborhoods, from the bustling Financial District to the bohemian Mission District, offer a kaleidoscope of cultures, cuisines, and artistic expressions. The steep, winding streets, cable cars, and stunning views of the bay create a unique urban landscape.
A fog-kissed city, San Francisco's climate is mild, often shrouded in a mysterious mist. It's a city of contradictions, where cutting-edge technology meets Victorian charm, and where the energy of innovation coexists with a laid-back, countercultural spirit. Here are some cool things to do:
North Beach Cultural Immersion: Immerse yourself in the vibrant North Beach neighborhood, known for its Italian heritage, art galleries, bookstores, and lively nightlife.
Golden Gate Bridge Adventure: Hike or bike across the iconic Golden Gate Bridge, offering breathtaking views of the city skyline and the Pacific Ocean.
Alcatraz Island Escape: Take a ferry to Alcatraz Island, a former federal penitentiary, and explore its chilling history and stunning views of the city.
Golden Gate Park Exploration: Wander through the vast Golden Gate Park, home to diverse gardens, museums, and serene lakes, perfect for picnics and leisurely strolls.
Cable Car Ride: Experience a classic San Francisco adventure by riding a historic cable car through the city's hilly streets, offering unique views and a nostalgic journey.
A fog-kissed city, San Francisco's climate is mild, often shrouded in a mysterious mist. It's a city of contradictions, where cutting-edge technology meets Victorian charm, and where the energy of innovation coexists with a laid-back, countercultural spirit. Here are some cool things to do:
North Beach Cultural Immersion: Immerse yourself in the vibrant North Beach neighborhood, known for its Italian heritage, art galleries, bookstores, and lively nightlife.
Golden Gate Bridge Adventure: Hike or bike across the iconic Golden Gate Bridge, offering breathtaking views of the city skyline and the Pacific Ocean.
Alcatraz Island Escape: Take a ferry to Alcatraz Island, a former federal penitentiary, and explore its chilling history and stunning views of the city.
Golden Gate Park Exploration: Wander through the vast Golden Gate Park, home to diverse gardens, museums, and serene lakes, perfect for picnics and leisurely strolls.
Cable Car Ride: Experience a classic San Francisco adventure by riding a historic cable car through the city's hilly streets, offering unique views and a nostalgic journey.
Immerse yourself in the heart of innovation on this exclusive day trip to Silicon Valley.
Experience the beauty of the San Francisco Bay on this unforgettable sailing excursion.
This conference is a vital forum for security professionals, CIO's, IT management, data scientists, AI engineers, government contractors, compliance officers, and policymakers to address the critical challenges of protecting Controlled Unclassified Information (CUI). The event will provide a platform for sharing best practices, innovative strategies, and forward-looking research on safeguarding sensitive, unclassified data in an evolving threat landscape.
We invite you to contribute your expertise and join a community dedicated to strengthening our nation's data security posture. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that offer original research, practical implementations, and thought-provoking analyses.
Main Conference Subject Areas
Elevating CUI Protection
This track will focus on the foundational pillars of CUI protection and the strategies for building a resilient security posture. We encourage submissions on:
Implementing Robust Access Controls: Discussions on effective authorization and authentication mechanisms to safeguard CUI, including least privilege principles, role-based access control, and multi-factor authentication (MFA).
Fortifying Data Integrity: Exploring techniques for ensuring CUI accuracy and reliability through data validation, encryption at rest and in transit, and robust audit trails.
Enhancing CUI Availability: Strategies for maximizing system uptime and data recovery capabilities through effective backup and disaster recovery planning, ensuring CUI is always accessible to authorized users.
Navigating the Evolving Threat Landscape
This track will address the most pressing and advanced threats to CUI and the innovative solutions to counter them. We are particularly interested in:
Defending Against Advanced Persistent Threats (APTs): Implementing proactive detection and response strategies, including threat intelligence, intrusion detection systems, and threat hunting, to combat sophisticated adversaries.
Securing Cloud-Based CUI: Mitigating risks and ensuring compliance within cloud environments, with a focus on shared responsibility models, cloud-native security tools, and compliance frameworks like FedRAMP.
Implementing Zero-Trust Security Models: Exploring the paradigm shift in CUI protection, where trust is never assumed and all access requests are rigorously verified, regardless of location or network.
Fostering a Culture of Security
This track will highlight the human and organizational factors critical to a successful CUI protection program. We welcome submissions on:
Raising CUI Security Awareness: Innovative approaches to educating employees and contractors on best practices for identifying, handling, and protecting CUI, including effective incident response procedures.
Conducting Regular Security Assessments and Audits: Methodologies for identifying vulnerabilities, assessing risk, and using tools like NIST SP 800-171A for a comprehensive review of security controls.
Leveraging Technology to Enhance CUI Security: Discussions on implementing AI and Machine Learning for advanced threat detection, behavior analysis, and automated response, including the ethical considerations of using these technologies.
Submission Types
We invite diverse contributions to enrich our program:
Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices in a focused presentation.
Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings.
Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, industry leaders, and compliance experts to share valuable lessons learned, practical implementations, and insightful perspectives on the challenges and successes of CUI protection in real-world settings. Submissions will be peer-reviewed for clarity, relevance, and practical value.
Poster Presentations: Visually showcase preliminary results, ongoing research, or innovative concepts. There will be a dedicated poster session for interactive discussions.
Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic within CUI protection.
Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to CUI classification, security controls, or incident response.
Submission Guidelines
Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords that best describe your submission.
Originality: Submissions must represent original work that has not been previously published or is not currently under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or theoretical concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon the submission portal opening.
Review Process
All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in cybersecurity, compliance, and CUI management. Submissions will be evaluated based on:
Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and practical applicability
We look forward to your valuable contributions and to a stimulating and collaborative conference on strengthening our national CUI protection efforts!
We invite you to contribute your expertise and join a community dedicated to strengthening our nation's data security posture. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that offer original research, practical implementations, and thought-provoking analyses.
Main Conference Subject Areas
Elevating CUI Protection
This track will focus on the foundational pillars of CUI protection and the strategies for building a resilient security posture. We encourage submissions on:
Implementing Robust Access Controls: Discussions on effective authorization and authentication mechanisms to safeguard CUI, including least privilege principles, role-based access control, and multi-factor authentication (MFA).
Fortifying Data Integrity: Exploring techniques for ensuring CUI accuracy and reliability through data validation, encryption at rest and in transit, and robust audit trails.
Enhancing CUI Availability: Strategies for maximizing system uptime and data recovery capabilities through effective backup and disaster recovery planning, ensuring CUI is always accessible to authorized users.
Navigating the Evolving Threat Landscape
This track will address the most pressing and advanced threats to CUI and the innovative solutions to counter them. We are particularly interested in:
Defending Against Advanced Persistent Threats (APTs): Implementing proactive detection and response strategies, including threat intelligence, intrusion detection systems, and threat hunting, to combat sophisticated adversaries.
Securing Cloud-Based CUI: Mitigating risks and ensuring compliance within cloud environments, with a focus on shared responsibility models, cloud-native security tools, and compliance frameworks like FedRAMP.
Implementing Zero-Trust Security Models: Exploring the paradigm shift in CUI protection, where trust is never assumed and all access requests are rigorously verified, regardless of location or network.
Fostering a Culture of Security
This track will highlight the human and organizational factors critical to a successful CUI protection program. We welcome submissions on:
Raising CUI Security Awareness: Innovative approaches to educating employees and contractors on best practices for identifying, handling, and protecting CUI, including effective incident response procedures.
Conducting Regular Security Assessments and Audits: Methodologies for identifying vulnerabilities, assessing risk, and using tools like NIST SP 800-171A for a comprehensive review of security controls.
Leveraging Technology to Enhance CUI Security: Discussions on implementing AI and Machine Learning for advanced threat detection, behavior analysis, and automated response, including the ethical considerations of using these technologies.
Submission Types
We invite diverse contributions to enrich our program:
Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices in a focused presentation.
Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings.
Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, industry leaders, and compliance experts to share valuable lessons learned, practical implementations, and insightful perspectives on the challenges and successes of CUI protection in real-world settings. Submissions will be peer-reviewed for clarity, relevance, and practical value.
Poster Presentations: Visually showcase preliminary results, ongoing research, or innovative concepts. There will be a dedicated poster session for interactive discussions.
Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic within CUI protection.
Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to CUI classification, security controls, or incident response.
Submission Guidelines
Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords that best describe your submission.
Originality: Submissions must represent original work that has not been previously published or is not currently under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or theoretical concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon the submission portal opening.
Review Process
All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in cybersecurity, compliance, and CUI management. Submissions will be evaluated based on:
Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and practical applicability
We look forward to your valuable contributions and to a stimulating and collaborative conference on strengthening our national CUI protection efforts!