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Artificial Intelligence (AI) for Financial Services

Discover how AI and Deep Learning are being applied to financial applications in capital market banking, consumer banking, and the insurance industry.

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Artificial Intelligence (AI) for Financial Services

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  1. April 14th, 2017 AI FOR FINANCE

  2. IN THE FINANCIAL SERVICES INDUSTRY, WE ADDRESS THREE PRIMARY SEGMENTS: CAPITAL MARKET BANKING, CONSUMER BANKING, AND THE INSURANCE INDUSTRY.

  3. WHAT ARE THE CURRENT TRENDS EMERGING IN THE FINANCIAL SERVICES SECTOR? 1. Increased risk management requirements and regulations 2. Growth of agile, mobile, and web-based technology 3. Emergence of Artificial Intelligence (AI), including Deep Learning (DL) & Machine Learning (ML)

  4. DEEP LEARNING IS BEING APPLIED TO FINANCIAL APPLICATIONS SUCH AS: ALGORITHMIC TRADING, HIGH-FREQUENCY TRADING, CYBERSECURITY, FRAUD DETECTION, AND MORE …

  5. GPUs and Deep Learning Fueling Finance Industry “Faster analytics offer a big advantage. With conventional computing pushed to its limits, the financial industry is moving toward GPUs. Banks and investment companies are turning to NVIDIA GPUs for deep learning and AI accelerated analytics.” “In finance, banks process millions of transactions per day, but many can only use a small sample to model fraud.” -Kimberly Powell, Senior Director of Deep Learning, NVIDIA READ MORE For the full article from NVIDIA …

  6. For more information on GPUs Accelerating Analytics For Finance … Kinetica’s Eric Mizell, VP of Global Solution Engineering, and NVIDIA’s Charlie Boyle, Sr. Director Product Marketing, are joined by featured speaker Gerald A. Hanweck, phD, CEO and Co-founder of Hanweck to present how to: 1. Leverage real-time transaction analysis for stronger portfolio management. 2. Manage risk and detect fraud by ad-hoc analysis on large volumes and disparate types of data. 3. Lower compliance and regulatory costs Download Now To Watch the Webinar …

  7. LEADERS IN FINANCIAL SERVICE COMPANIES ARE ALREADY TAKING NOTICE OF THE BENEFITS EMERGING FROM ADAPTING ARTIFICIAL INTELLIGENCE …

  8. PWC on the Future of AI in Finance “Chatbots. Personal assistants. Robo- advisors. Machine learning. Cognitive computing. And so much more. While the term artificial intelligence (AI) has been around for 60 years, it has finally become part of our daily lives—and how we bank, invest, and get insured.” “Artificial Intelligence can help people make faster, better, and cheaper decisions.” - Anand Rao, Innovation Lead, Analytics, PWC READ MORE For the full article from PWC …

  9. Hedge Funds Training Their Computers to Think Like You “Hedge funds have been trying to teach computers to think like traders for years. An artificial intelligence technology called deep learning that loosely mimics the neurons in our brains is holding out promise for firms. WorldQuant is using it for small-scale trading, said a person with knowledge of the firm.” “There’s a huge class of deep-learning models used in tech firms that can be adapted to financial processing.” - Nicolas Chapados, Head, Chapados Couture Capital READ MORE For the full article from Bloomberg …

  10. Insurance Companies to spend $90M by 2020 on AI “More than any other industry, insurers are expected to use the majority of their AI budgets on improving current products as opposed to creating new services, TCS says. Carriers believe such investments should have the biggest impact on customer service, IT, sales, marketing, and R&D.” “Insurers are making significant investments in AI to disrupt themselves before they are disrupted.” - TCS Report READ MORE For the full article from Info MGMT …

  11. ARTIFICIAL INTELLIGENCE STARTUPS ARE ALSO DRIVING INSTRUMENTAL CHANGES WITHIN FINANCE …

  12. • DreamQuark • MotionsCloud • Quantenstein • Cape Analytics HERE’S FOUR TRANSFORMING THE FINANCE INDUSTRY…

  13. DreamQuark TECHNOLOGY DreamQuark currently develops technologies related to deep neural- networks with sparse architectures that can unveil new patterns inside the input data. We embed these algorithms first trained on specific datasets into applications for insurance and financial services. LEARN MORE

  14. MotionsCloud TECHNOLOGY MotionsCloud uses a all-in-one mobile and AI solution to reduce insurance claim cost, claim cycle time, fraud, self-service, and improve accuracy of claims value from a few weeks to a few hours. All function are implemented through easy plug & play integrations. LEARN MORE

  15. Quantenstein TECHNOLOGY Quantenstein is an integrated software platform for automated long-term value investing that builds on the latest developments in Deep Learning technology. Quantenstein optimizes clinet-specific financial performance metrics based on data to assemble tailored portfolios. LEARN MORE

  16. Cape Analytics TECHNOLOGY Cape Analytics establishes a new category of property data and analytics, offering immediacy and coverage comparable to pre-filled data, but with the accuracy and types of features for which an underwriter or other stakeholder may seek a more costly and time-consuming report. LEARN MORE

  17. REGISTER FOR NVIDIA GTC 2017 TO LEARN MORE ABOUT HOW DEEP LEARNING IS IMPACTING FINANCE … LEARN MORE

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