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Big Data is the New Currency

Over 250+ attendees heard insights on data monetization, privacy, and protection for systematic and fundamental investors.

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For almost a decade, RavenPack Symposiums have consistently provided data-driven finance professionals with riveting forward-looking content, new research and insights, and practical use cases from industry leaders and top scholars.

This edition brought together top experts in data monetization, privacy, and protection to explore how firms can leverage data to not only generate alpha, but to respond to new regulatory requirements, and calls for more socially responsible investment practices around the use of alternative data.

This RavenPack Symposium event was free to attend (by invitation only) and took place in London on May 23, 2019.

Keynote Speaker: Glenn Greenwald

Glenn Greenwald is a Pulitzer-Prize winning journalist, and the author of several bestsellers including “No Place to Hide,” based on the U.S. surveillance state and his experiences reporting on the Edward Snowden documents around the world. He is acclaimed as one of the 25 most influential political commentators by The Atlantic and one of America's top 10 opinion writers by Newsweek. He is a frequent guest on CNN, MSNBC, and various other television and radio outlets. Greenwald is also a former constitutional and civil rights litigator.

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Agenda

This RavenPack Symposium brought together top experts in data protection, privacy, and monetization to explore how firms can leverage Big Data to not only generate alpha, but to respond to new regulatory requirements, and calls for more socially responsible investment practices.

Welcoming Remarks

Introduction: Big Data is the New Currency

Digital conglomerates like Facebook, Google, and Amazon are capturing enormous amounts of data on citizens and institutions. The world’s largest tech companies know more about you than literally anyone else, including more than most government agencies. These large, diverse, and fast moving data flows also known as “Big Data” are becoming a form of currency, exchanged by the most influential players in our digital economy. Within finance, Big Data has become increasingly important to achieve operational and investment alpha. While data monetization becomes a crucial part of their strategy, financial institutions must address the risks associated with data privacy, the sourcing of alternative data, data leaks and security breaches, and learn how to mitigate those risks.

Keynote Presentation

Why Privacy Matters - Ethically and Commercially

The right of privacy is typically debated as a political and ethical question. And it most certainly is that: the extent to which citizens are willing to have powerful governmental and corporate entities know intimate details of their lives, choices and actions in exchange for promised benefits plays a crucial role in how various components of our society is shaped. But lately the question of privacy has taken on a whole new significance: namely, the economic imperative for data managers and companies to balance the commercial benefits of exploiting personal data with the commercial lost of developing a reputation as an unreliable guardian of users' privacy. Glenn Greenwald has worked at the intersection of all of the complex and nuanced competition and values and explores the latest innovations, debates and ideas that shape our understanding of how to safeguard personal privacy in an era that increasingly demands its invasion.

Presentation - Data Protection, Sourcing & Privacy

How to Make a Billion Dollars Through Cybercrime

The FIN7 cybercrime gang (also known as Carbanak) are responsible for stealing over one billion dollars from banks and financial institutions around the world, targeting individuals involved in SEC filings. How did they do it? Who are the people behind FIN7? And what can be done to protect against this and other attacks by sophisticated organised hacking gangs? Computer security expert Graham Cluley offers practical insight on how financial firms are being targeted, and shines some light on a mysterious and elusive global crime ring.

Panel - Data Protection, Sourcing & Privacy

Taking Control of Your Data

Practically every person on this planet generates some form of data (also known as “data exhaust”). With five billion people globally having a mobile phone connection, every call, message, purchase or internet search we make, shapes our lives while leaving a digital footprint. Even when we walk on busy city streets, CCTV cameras capture our physical movements while our smartphones track our every location. There is a multi-billion dollar data industry that profits from trading these private details without you really knowing how they do it. Our expert panelists will discuss how governments and corporations go about harvesting information about you, what they do with it, who they provide it to, whether it is right or wrong and even how much money is being made from your personal data.

Presentation - Monetizing Big Data

Asset Managers: It's Time to Monetize Your Own Data

We generate too many emails, store too many files and have more information than we know about or are able to handle. While conversations across email and messengers are growing senseless, our data is mostly unused, fragmented and decentralized making it impossible to keep track, let alone know exactly what we have. While organizations believe there is value in their own data, the challenge is finding ways to monetize it. In this presentation, Peter Hafez will present a real case study showcasing how a fundamental asset management firm is leveraging RavenPack technology to transform their own emails, messages, and files into trading signals to create alpha generating strategies.

Lunch & Learn

While lunch was being served as a buffet style, guests could also join the below sessions

  • How Cloud Architecture Benefits Security and Privacy
    Jason Cornez, Chief Technology Officer, RavenPack
    There is often fear that using the cloud can introduce risks. But in fact, cloud architectures can offer significant benefits in terms of both security and privacy. We'll review a few software architecture concepts and explain how using the cloud can be a big win.
  • User Stories Highlighting Applications of DTCC Data Services
    Matthew Bergerman, Director, DTCC
    As part of DTCC Data Services, DTCC Kinetics offerings are derived from DTCC’s post-trade infrastructure to provide new insights into movements and trends across select market segments and asset classes. This presentation will provide an overview of existing DTCC Kinetics offerings as well as a preview of exciting new products. For each service, there will be an overview of the data, as well as demonstrations of how end-users might find the offering helpful. There will also be an illustration of a single Issuer ‘Across’ DTCC Kinetics and each services’ indicators!
  • Test Drive the RavenPack Data Platform
    Kevin Crosbie, Chief Product Officer, RavenPack
    The RavenPack platform allows you to monitor companies, products, or any topic using live visual dashboards, create interactive online reports, and share knowledge across your entire organization. You may also download our unique datasets directly into your business applications. Kevin will show how to use the RavenPack platform functionalities (Search, Datasets, Dashboards, Alerts, Portfolio Ranking) for both quants and fundamental investors.

Presentation - Monetizing Big Data

Forecasting Stock Beta with Machine Learning and Equity Sentiment

Many recent machine learning studies related to equity portfolio management focus on forecasting expected returns despite the relatively small signal to noise ratio in such exercises. Forecasting risk such as stock beta is important in many practical applications. In this talk, we will discuss the benefits of using machine learning to forecast equity beta. In addition to common fundamental variables and historical beta we also incorporate equity sentiment data into the set of predictor variables.

Presentation - Monetizing Big Data

Enhancing Macroeconomic Nowcasters with Big Data

Nowcasting can play a fundamental role in effective dynamic asset allocation by accurately assessing macro and market conditions in real-time. Incorporating new disruptive innovations, such as big data, into an existing investment process is both critical for continued success and not without perils. In this talk, we will discuss an approach to harness big data and improve an existing nowcasting framework in order to better understand the risks and potentially enhancing the performance of investments decisions.

Presentation - Monetizing Big Data

Getting the Most out of Alternative Data - a Systematic View

For systematic investors, the recent explosion of non-traditional datasets presents both an opportunity and a challenge. The potential value of an emerging dataset is often unclear and it can be hard to decide where to prioritize research effort. Poorly labelled data and short histories are common. This talk will discuss how alternative data can be integrated into a systematic investment process and give an overview of some of the techniques that Cantab uses to enhance the value that alternative data can contribute to a portfolio.

Panel - Monetizing Big Data

Why Money Doesn’t Grow on Trees for Investors

Some of today’s most successful companies have demonstrated that data appreciates in value when translated into meaningful information. Retailers are paying billions of dollars to banks so they can send targeted discount offers directly to customers by analyzing their shopping habits from their credit card transactions. Investment firms are paying a premium to service providers that mine people’s email inboxes to look for receipts that show what products and services they tend to buy. For years, quantitative hedge funds have successfully analyzed large volumes of news and social media to generate excess returns. In this panel, our distinguished speakers will discuss how financial institutions are going about monetizing big data sources and touch on some of the difficulties and challenges faced by the industry in generating real monetary returns from these efforts.

Presentation - Monetizing Big Data

Dispelling Myths About Machine Learning in Systematic Investments

Application of Machine Learning in quant investments has been one of the most overhyped topics for the last 3 years. Even if nowadays most of the academic and practitioners acknowledged the benefits of ML, common misperceptions regarding the field of application of ML are still used to discredit it in quant investments. In this talk we will review some of the main misperceptions and wrong assumptions about applications of ML in systematic investments.

Panel - Looking Towards the Future

“New Money” and the Future of the Data-Driven Economy

The digital transformation of our society is unfolding at a rapid pace, creating a pervasive information asymmetry, which crosses many divides, including disparities between rich and poor, companies and governments, and humans vs machines. Data flows have transformed commerce and made data the most valuable asset in today’s economy. Those who control data are the “new money” in today’s society, having quickly acquired wealth and economic dominance through the use of technology and total information awareness. Whoever controls the data controls who and what interacts with it. Our distinguished panelists will talk about the implications of living in a data-driven economy, dominated by those who have access to data and artificial intelligence, and how this paradigm shift will affect the future of business and finance.

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Speakers

Glenn Greenwald

Glenn Greenwald

Best-Selling Author & Journalist

Glenn Greenwald is a Pulitzer-Prize winning journalist, and the author of several bestsellers including “No Place to Hide,” based on the U.S. surveillance state and his experiences reporting on the Edward Snowden documents around the world. He is acclaimed as one of the 25 most influential political commentators by The Atlantic and one of America's top 10 opinion writers by Newsweek. He is a frequent guest on CNN, MSNBC, and various other television and radio outlets. Greenwald is also a former constitutional and civil rights litigator.

Robert Kosowski

Robert Kosowski

Head of Quantitative Research

Unigestion

Robert joined Unigestion while maintaining his role at Imperial College Business School, where he is Associate Professor of Finance. Robert is also a research fellow at the Centre for Economic Policy Research (CEPR) and an associate member of the Oxford-Man Institute of Quantitative Finance at Oxford University. Robert is on the editorial board of the Journal of Alternative Investments and a member of AIMA’s research committee.

Dr Chris Longworth

Dr. Chris Longworth

Senior Scientist

Cantab Capital Partners

Dr Chris Longworth is a senior scientist at Cantab Capital Partners, which became part of GAM Systematic in October 2016. Since joining Cantab in 2010, Chris's focus has been on the development and improvement of Cantab's investment strategies. Chris leads Cantab’s big data and machine learning research team and is also the lead scientist for the GAM Systematic Discovery fund, which focuses on trading exotic or less liquid markets.

Graham Cluley

Graham Cluley

Independent Computer Security Analyst

Graham started his career in the computer security industry as a programmer at British anti-virus firm S&S International where he wrote the first Windows version of Dr Solomon's Anti-Virus Toolkit. In 2011, he was honored to be inducted into the Infosecurity Europe Hall of Fame. Graham has made thousands of international media appearances on TV, radio and print, including NPR, BBC, Sky, Fox, CNN, Mashable, and TechCrunch, as well as written columns on computer security for publications such as The Telegraph, IT Week, Computer Weekly, VNUNet and the BBC College of Journalism.

Charles-Albert Lehalle

Dr. Charles-Albert Lehalle

Senior Research Advisor

Capital Fund Management (Paris) and Imperial College (London)

Charles-Albert is a leading expert in market microstructure and optimal trading. He provided research and expertise on this topic to investors and intermediaries, and is often heard by regulators and policy-makers like the European Commission, the French Senate, and the UK Foresight Committee. Charles-Albert received the 2016 Best Paper Award in Finance from Europlace Institute for Finance (EIF) and published more than fifty academic papers and book chapters.

Tony Guida

Tony Guida

Executive Director - Senior Quant Research

RAM Active Investments

Tony Guida works together with the equity Portfolio Managers to develop systematic investment strategies. Tony’s work is focused primarily on extracting market inefficiencies from different sources from traditional fundamentals, market signals, alternative data, and machine learning. His expertise is in mid to low frequency in equities.

Ricardo Sueiras

Ricardo Sueiras

Technical Evangelist

Amazon Web Services

Ricardo is an enterprise evangelist at Amazon Web Services; he works with enterprise executives and technology leaders to help them adopt the cloud and transform their businesses. He has over twenty years of experience leading emerging technology and innovation programmes and has been working with cloud technologies since 2008. He is passionate about cloud, innovation and open source and is excited about how cloud accelerates and amplifies customers’ ability to innovate.

Salman Baig

Salman Baig

Senior Vice President

Unigestion

Salman Baig, PhD, is a Portfolio Manager and works across all of Unigestion’s cross-asset portfolios, with a primary focus on its flagship Cross-Asset Navigator strategy. Salman holds a Bachelor in Mathematics and a Master in Finance both from Princeton University and a PhD in Mathematics from the University of Texas.

Olga Kokareva

Olga Kokareva

Head of Data Sourcing and Strategy

Quantstellation

Olga is responsible for proactive sourcing of traditional and alternative data sets, building strategic data partnerships and managing full cycle of data acquisition. Olga joined Quantstellation in 2015 from ITI Group where she was head of a multi-manager hedge fund platform focusing on quantitative investment strategies. Before that she held a variety of senior roles in the alternative investments industry including Head of Operations and Investor Relations at Da Vinci Capital.

Monica Woodley

Monica Woodley

Writer, Editor and Consultant

Monica is a freelance writer, editor and consultant, with a focus on asset and wealth management and a keen interest in everything fintech and ESG. She is the former Global Head of Content at Legg Mason Global Asset Management, and the Editorial Director of Thought Leadership at the Economist Group.

Frédéric Desobry

Frédéric Desobry

Head of Equity Research

Systematica Investments

Frederic Desobry is with Systematica Investments where he leads the quantitative equity research effort for market neutral and alternative risk premia products. He has spent over a decade researching and trading global markets through the systematic lens and has previously worked at BlueCrest Capital Management amongst others.

Matthew Bergerman

Matthew Bergerman

Director

DTCC

Matthew Bergerman joined the DTCC Data Products team in July of 2015 as a Director charged with the development of solutions in the Equity, Fixed Income, and Reference Data space. He has worked in the Financial Information industry for over 20 years. He has worked on the vendor side previously in the production of data and the development of data applications at Thomson Financial and Pershing.

Andreas Zagos

Andreas Zagos

Managing Partner

IPR Strategies

Andreas Zagos is founder and Managing Partner of the Bonn based InTraCoM Group (Germany). He was participating in the first standard for patent valuation and is doing research in patent valuation for more than 24 years. He is guest professor at the Technical University of Cluj-Napoca in the field of innovation management and internationally recognized patent valuation expert.

Tim Harrington

Tim Harrington

Co-Founder and CEO

BattleFin

Tim is a co-founder and CEO of BattleFin Group Inc. BattleFin is made up of 3 businesses; Events, Technology and Asset Management. He has over 20 years of experience in the financial services industry. Tim was the President and a Partner at Lion's Path Capital, a hedge fund strategy incubator where he allocated capital to 30 fundamental portfolio managers since the launch in 2009.

Armando Gonzalez

Armando Gonzalez

CEO

RavenPack

Armando Gonzalez is President & CEO of RavenPack, the leading provider of big data analytics for financial institutions. Armando is an expert in applied big data and artificial intelligence technologies. He has designed systems that turn unstructured content into structured data, primarily for financial trading applications. Armando is widely regarded as one of the most knowledgeable authorities on automated text and sentiment analysis.

Jason Cornez

Jason Cornez

Chief Technology Officer

RavenPack

Jason is responsible for the design and implementation of the RavenPack software platform. He is a hands-on technology leader, with a consistent record of delivering break-through products. A Silicon Valley start-up veteran with 20 years of professional experience, Jason combines technical know-how with an understanding of business needs to turn vision into reality.

Kevin Crosbie

Kevin Crosbie

Chief Product Officer

RavenPack

Kevin is responsible for the team that maintains and enhances RavenPack's market-leading news analytics products. Kevin joined RavenPack in 2003 as a software developer and, prior to assuming responsibility for product, he was one of RavenPack´s senior developers and sales support engineers. As such, he has detailed knowledge of RavenPack's clients and technology and has been a major contributor to the evolving News Analytics industry.

Peter Hafez

Peter Hafez

Chief Data Scientist

RavenPack

Peter is a pioneer in the field of applied news analytics, bringing alternative data to banks and hedge funds. He has more than 15 years of experience in quantitative finance with companies such as Standard & Poor's, Credit Suisse First Boston, and Saxo Bank.

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Location

When:
Thursday, May 23rd, 2019
8:30 AM - 5:00 PM GMT

A cocktail reception will be held at the conference venue from 5:00 PM.

Where:
De Vere Grand Connaught Rooms
61-65 Great Queen St, London, UK

The closest tube stations are Covent Garden (Piccadilly line) and Holborn on the Central line, both within easy walking distance.

The De Vere Grand Connaught Rooms have hosted some of the world‘s leading politicians, royalty and celebrities with its grand Georgian architecture and art-deco interiors.

De Vere Grand Connaught Rooms
De Vere Grand Connaught Rooms
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Partner Sponsors

Interested in sponsoring the event? We can work on bespoke packages, from exhibition booth to workshop or panel sponsorship. Don't miss the opportunity to have your brand exposed to 300+ guests, 85% from the buy-side.

Email events@ravenpack.com to know more.

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Our past events

Video highlights

The Big Data and Machine Learning Revolution, London, April 2018

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