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Artificial Intelligence (AI) for Financial Services

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

Publicado en: Economía y finanzas
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Artificial Intelligence (AI) for Financial Services

  1. 1. AI FOR FINANCE April 14th, 2017
  2. 2. IN THE FINANCIAL SERVICES INDUSTRY, WE ADDRESS THREE PRIMARY SEGMENTS: CAPITAL MARKET BANKING, CONSUMER BANKING, AND THE INSURANCE INDUSTRY.
  3. 3. 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) WHAT ARE THE CURRENT TRENDS EMERGING IN THE FINANCIAL SERVICES SECTOR?
  4. 4. DEEP LEARNING IS BEING APPLIED TO FINANCIAL APPLICATIONS SUCH AS: ALGORITHMIC TRADING, HIGH-FREQUENCY TRADING, CYBERSECURITY, FRAUD DETECTION, AND MORE …
  5. 5. “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.” GPUs and Deep Learning Fueling Finance Industry READ MOREFor the full article from NVIDIA … “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
  6. 6. 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 For more information on GPUs Accelerating Analytics For Finance … Download NowTo Watch the Webinar …
  7. 7. LEADERS IN FINANCIAL SERVICE COMPANIES ARE ALREADY TAKING NOTICE OF THE BENEFITS EMERGING FROM ADAPTING ARTIFICIAL INTELLIGENCE …
  8. 8. “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.” PWC on the Future of AI in Finance READ MOREFor the full article from PWC … “Artificial Intelligence can help people make faster, better, and cheaper decisions.” - Anand Rao, Innovation Lead, Analytics, PWC
  9. 9. “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.” Hedge Funds Training Their Computers to Think Like You READ MOREFor the full article from Bloomberg … “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
  10. 10. “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.” Insurance Companies to spend $90M by 2020 on AI READ MOREFor the full article from Info MGMT … “Insurers are making significant investments in AI to disrupt themselves before they are disrupted.” - TCS Report
  11. 11. ARTIFICIAL INTELLIGENCE STARTUPS ARE ALSO DRIVING INSTRUMENTAL CHANGES WITHIN FINANCE …
  12. 12. HERE’S FOUR TRANSFORMING THE FINANCE INDUSTRY… • DreamQuark • MotionsCloud • Quantenstein • Cape Analytics
  13. 13. 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. TECHNOLOGY LEARN MORE DreamQuark
  14. 14. 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. TECHNOLOGY LEARN MORE MotionsCloud
  15. 15. 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. TECHNOLOGY LEARN MORE Quantenstein
  16. 16. 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. TECHNOLOGY LEARN MORE Cape Analytics
  17. 17. REGISTER FOR NVIDIA GTC 2017 TO LEARN MORE ABOUT HOW DEEP LEARNING IS IMPACTING FINANCE … LEARN MORE

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