Getting more value from data has been a goal for financial services companies for years, but achieving successful and measureable results from data analytics is often harder than it sounds. With Big Data now piled on top of existing mountains of customer and market data, how can data and technology leaders find the proverbial needle in the Big Data haystack. With enhanced data analytic capabilities, data scientists and quantitative analysts are looking at data from a variety of different angles in order to create business value for the enterprise. At this Forum, thought leaders from across the financial services industry will join editors from Bank Systems & Technology, Insurance & Technology and Wall Street & Technology to learn more about how to develop in-depth analytics for business advantage.

During the low latency trading race that has captured the industry’s attention for the past eight years, the only winner was the firm that could trade the fastest. Today, the race to zero latency is all but over, except for a select few of the largest trading shops in the industry. The new competitive landscape for trading is focused on applying advanced analytics and big data techniques to find advantages outside of traditional market data. While big data has always been considered too slow for the trading in the equities space, new advancements in data analytics make it possible to analyze data in near real time to provide an intelligent edge to a trading strategy. Although the data analytic tools aren’t fast enough to compete in the ultra low latency high-frequency trading (HFT) space, many firms have abandoned the ultra HFT strategy anyway. Today’s technology allows traders to devise other trading strategies based on analyzing non-traditional data, such as sentiment data, social data, mobile tracking information, weather data and more.

This new executive forum will bring together leaders in trading technology and data analytics to share success stories and best practices, assess where the business is going, and identify the opportunities and challenges facing capital markets firms in a transforming industry.

WHY ATTEND

Find out how advanced data analytics is changing the trading game.

Hear from data experts and trading technologies about their strategies, challenges and outlooks.

Network with financial services and technology executives focused on trading innovation.

Learn about solutions and partners that can help you take your trading strategy to the next level.

EVENT INFO

ONE DAY EVENT IN NEW YORK CITY

Date: Wednesday, June 4, 2014
Location: The Westin, New York City
Audience: Capital markets and technology professionals
Format: Conference from 9:00 am – 3:00 pm; includes buffet lunch – AGENDA
Benefits: Pipeline Acceleration, Prospect Engagement, Thought Leadership, Branding

AGENDA

8:00 - 9:00 AM . . . Registration/Networking Breakfast
9:00 - 9:15 AM . . . Welcome/Introduction: Speed Isn’t Everything, It’s …
9:15 - 9:45 AM . . . Keynote: Finding The Haystack In The Pile of Needles
For decades, data experts have been digging through data to find the proverbial ‘needle in the haystack.’ But if the hype surrounding Big Data is even partially true, the number of potential “needles” (valuable pieces of data) is increasing every day. Here’s how to manage the scope of a Big Data initiative, both in terms of the size of the data collected, as well as the expectations of enterprise users.
  • Carol Ryan
    Carol RyanHead of Information Solutions
    State Street Global Exchange
    READ FULL BIO

    9:45 - 10:15 AM . . . Panel Discussion: Data Driven Everything
    Business leaders have always relied on market knowledge, their connections and instincts (their ‘gut’). However, the ability to apply analytics to almost any business situation is helping financial services executives make better decisions across the entire business. In fact, every business move today is generally backed by solid data analysis. For instance, technology, including behavioral analytics and wearable computing, now has the ability to monitor trading activity and a trader’s actions to determine if their instincts are good, bad, or just average. However, most big data technologies require “NoSQL,” while most banks want to leverage leverage existing SQL-based applications. How can financial firms achieve big data analytics scalability and performance while leveraging current infrastructure?
    • Robert Nagle
      Robert Nagle
Vice President of Database Platforms
      InterSystems
      READ FULL BIO
      • Joseph W. Sieczkowski
        Joseph W. SieczkowskiSenior Managing Director
        Chief Technology Officer
        TIAA-CREF
        READ FULL BIO
        10:15 - 10:30 AM . . . Refreshment Break
        10:30 - 11:00 AM . . . Intelligent Trading: Leveraging Data Analytics For Market Advantage
        Now that the equities low latency race has become cost prohibitive for many organizations, where will traders gain their next competitive advantage? Many firms are looking to data analytics on new types of unstructured data to determine investor sentiment before it moves the market. What types of data are firms using along side traditional market data to help build innovative trading and investment strategies?
        • Michel Debiche, Ph.D.
          Michel Debiche, Ph.D.Community Contributor
          Wall Street & Technology
          Financial Services Practice Lead
          Think Big Analytics
          READ FULL BIO

          • Brennan Carley
            Brennan CarleyGlobal Head of Platform and Analytics
            Thomson Reuters
            READ FULL BIO
            • Rob Almgren
              Rob AlmgrenPresident & Co-Founder
              Quantitative Brokers
              READ FULL BIO
              11:00 - 11:30 AM . . . Securing Big Data
              Most will agree that the benefits of Big Data, if implemented correctly, could be game changing at many companies. But few are discussing the security risks that are asscociated with storing massive amount of data. As the usage of data grows, hackers and criminals will undoubtedly try to hack and infiltrate data repositories for financial gain. Is protecting Big Data any different than protecting existing databases? What do firms need to do to protect their Big Data projects from being compromised.
                11:30 - Noon . . . Panel Discussion: Can Big Data & Low Latency Coexist?
                With fewer trading firms participating in the ultra low latency trading race, how can organizations differentiate themselves from competitors? As discussed in a previous panel, many firms are looking to incorporate new forms of data analytics into their trading strategy. However, no matter how fast the data analysis, it will still add some latency to the trading system. How much latency is acceptable? And what tools, systems and applications hold the most promise?
                • Ted Hruzd
                  Ted HruzdVice President
                  Deutsche Bank
                  READ FULL BIO
                  • Terry Keene
                    Terry KeeneCEO
                    isys
                    READ FULL BIO
                    Noon – 12:45 PM . . . Networking Lunch
                    12:45 - 1:15 PM . . . Sponsor Solutions Showcase
                    1:15 - 1:45 PM . . . The Data Talent Challenge
                    “Finding big data talent is difficult, retaining it is nearly impossible. And the role of data scientist is impossible to fill, especially outside of the US.”  The former Chief Data Office of Yahoo!, Dr. Usama Fayyad, made this statement, at a financial services event in late 2013. Since then, the market for finding data talent has grown even more competitive, as companies in all industries are launching Big Data and analytics projects. How can financial services firms compete in this competitive talent marketplace?
                    • Justin Cerilli
                      Justin CerilliRussel Reynolds Associates
                      READ FULL BIO

                      1:45 - 2:15 PM . . . Intelligent Trading Compliance: Using Analytics For Proactive Monitoring
                      Data analytics can not only help make for better trading strategies, but it can also help help with trading compliance. Many firms are scouring unstructured data from phone calls, text messages, emails and social media to look for trading violations. Furthermore, regulators are expecting firms to use state-of-the-art surveillance techniques to help prevent illegal trading activities. What should firms be doing now with their trade surveillance technology, and what will they be required to do in the near future?
                      • Bill Nosal
                        Bill NosalHead of Strategic Product Management
                        SMARTS, NASDAQ OMX
                        READ FULL BIO

                        2:15 - 2:30 PM . . . Executive Forum Wrap-Up

                        SPEAKERS

                        • Becca Lipman
                          Becca LipmanSenior Editor
                          Wall Street & Technology
                          READ FULL BIO
                          • Greg MacSweeney
                            Greg MacSweeneyEditorial Director
                            Wall Street & Technology
                            READ FULL BIO

                            • Ivy Schmerken
                              Ivy SchmerkenEditor-at-Large
                              Wall Street & Technology
                              READ FULL BIO

                              • Robert Nagle
                                Robert Nagle
Vice President of Database Platforms
                                InterSystems
                                READ FULL BIO
                                • Justin Cerilli
                                  Justin CerilliRussel Reynolds Associates
                                  READ FULL BIO

                                  • Michel Debiche, Ph.D.
                                    Michel Debiche, Ph.D.Community Contributor
                                    Wall Street & Technology
                                    Financial Services Practice Lead
                                    Think Big Analytics
                                    READ FULL BIO

                                    • Brennan Carley
                                      Brennan CarleyGlobal Head of Platform and Analytics
                                      Thomson Reuters
                                      READ FULL BIO
                                      • Bill Nosal
                                        Bill NosalHead of Strategic Product Management
                                        SMARTS, NASDAQ OMX
                                        READ FULL BIO

                                        • Joseph W. Sieczkowski
                                          Joseph W. SieczkowskiSenior Managing Director
                                          Chief Technology Officer
                                          TIAA-CREF
                                          READ FULL BIO
                                          • Carol Ryan
                                            Carol RyanHead of Information Solutions
                                            State Street Global Exchange
                                            READ FULL BIO

                                            • Rob Almgren
                                              Rob AlmgrenPresident & Co-Founder
                                              Quantitative Brokers
                                              READ FULL BIO
                                              • Ted Hruzd
                                                Ted HruzdVice President
                                                Deutsche Bank
                                                READ FULL BIO
                                                • Terry Keene
                                                  Terry KeeneCEO
                                                  isys
                                                  READ FULL BIO

                                                  VENUE

                                                  The Westin Hotel

                                                  270 W 43rd St, New York, NY 10036
                                                  Times Square hotels are among the most sought after locations in New York city, and the Westin New York at Times Square is the premier choice for those in the know. The heart of New York beats strongest in Times Square: hotels, shows, shopping and fine dining are all just moments away from each other!

                                                  Welcome to a place where time ceases to tick and begins to flow. Where every sense is soothed and energy is restored. Where your well-being reigns supreme. In the center of Times Square, New York City all around you, discover a hotel destination where you and your family stay at your best. Experience a whole new level of luxury and serenity at The Westin New York at Times Square. For a better you™.

                                                   

                                                  GOLD SPONSORS

                                                  SILVER SPONSORS

                                                  To discuss sponsorship opportunities please contact

                                                  Matt Kingham

                                                  212-600-3084

                                                  matt.kingham@ubm.com

                                                  REGISTER

                                                  Please register below for the Wall Street & Technology Smarter Trading Forum
                                                  All requests for registration are reviewed and granted at the sole discretion of Wall Street & Technology. Registration is open only to qualified attendees from financial institutions.

                                                  There is no fee to attend. This is a complimentary event.
































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                                                  IAN.DOYLE@UBM.COM