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12 September 2018
Bloomberg L.P | 731 Lexington Avenue | 7th Floor

Agenda

08:00

Registration & Networking Breakfast

7MPR

08:30

Welcome to the Summit

Navigating your way through the day from our MC

Rachana Bhide

Rachana Bhide

News Presenter & Global Talent Lead for Bloomberg Engineering, Bloomberg L.P.

7MPR

08:35

Welcome Remarks

One Data

Gerard Francis

Gerard Francis

Global Head of Enterprise Data, Bloomberg L.P.

7MPR

08:45

Industry Panel: Traditional Data vs. Alternative Data

Our businesses are competing in an environment of ever more accessible, disjoint and diverse data that continues to grow at exponential rates. A data driven ecosystem that represents ever more significant business opportunity tempered with increasing ambiguity, risk and expense. We will be discussing evolving data strategies and techniques focused on finding relevant signal and turning it into differentiating business intelligence.

Gideon Mann

Gideon Mann

Head of Data Science of CTO office, Bloomberg L.P.

Jon Neitzell

Jon Neitzell

Chief Data Officer of Fundamental Equities, Goldman Sachs

David Saul

David Saul

Senior Vice President and Chief Scientist, State Street Corporation 

Nadine Terman

Nadine Terman

CEO/CIO, Solstein Capital

Carl Reed

Carl Reed (Moderator)

Global Head of Data License Product, Bloomberg L.P.

7MPR

09:30

Break

09:45

Choose from the following two breakout sessions:

09:45

Breakout Option 1: Enterprise Content - Practical Applications of New Data Sets (7MPR)

Financial services firms face continuing challenges in reference and regulatory data management which require flexible and dependable solutions. Trustworthy reference and market data are key components for today's investment professionals seeking to gain cost-effective access to market insights and meeting stakeholder requirements. Bloomberg's Data Solutions cover all major asset classes, nearly 13 million active instruments, 4.3 million entities, 34 thousand indices and over 180 exchanges. The breadth of our data solutions has increased significantly in 2018 as we deployed 8 new data categories over Data License such as Supply Chain, ESG, classifications and Fundamentals data.

In this session we will explore how Bloomberg's linked clean and tidy data can be leveraged in front, middle and back-office applications through industry use cases.

David Croen

David Croen

Head of Risk & Entity Data, Bloomberg L.P.

Gregory Van Droogenbroeck, CFA

Gregory Van Droogenbroeck, CFA

Head of Reference Data Products, Bloomberg L.P.

7MPR

09:45

Breakout Option 2: Alternative Data from Bloomberg (28MPR)

The use of AI technology in money management and hedge fund industries is growing exponentially and the competition to unlock the potential of alternative data is fierce. 

More and more providers are coming to the market with an expanded and diversified offer: solving the usual challenges of data onboarding, integration and stability is becoming even more demanding.

In this session, Daniel Caporaletti, Krunal Parikh and Ruslan Tepelyan will discuss how the Bloomberg One Data paradigm for alternative data can help solve these challenges.

Topics will include news and social data, NLP driven analytics, real time option analytics for algo consumption, and alternative data accessibility via Rest API.

Daniel Caporaletti

Daniel Caporaletti

Head of Real Time Derivatives Feeds, Bloomberg L.P.

Krunal Parikh

Krunal Parikh

Head of Bloomberg Data Dictionary, Bloomberg L.P.

Ruslan Tepelyan

Ruslan Tepelyan

Product Manager, Bloomberg L.P.

28MPR

10:30

Break

10:45

Industry Panel: Public, Private or Hybrid Cloud – Which Cloud Model to Choose? (7MPR)

Hybrid cloud is increasingly becoming the cloud model of choice for legacy enterprises. They are less prone to put their sensitive or mission critical data in public cloud and are choosing a hybrid approach -- they are utilizing private cloud for their core functions and the public cloud for test and development. Clients are also looking at multiple cloud providers to ensure proper back-up and reduce dependency on one particular vendor.

Our panel on which cloud model works well will dive into some of these issues with real life examples from executives that are spear-heading this transition.

Sebastien Astie

Sebastien Astie

Chief Technology Officer, Pluribus Labs

Ben Hoffstein

Ben Hoffstein

Co-Chief Technology Officer, Balyasny Asset Management

Simon Letort

Simon Letort

Chief Digital Officer - Americas, Société Générale

Anurag Rana

Anurag Rana (Moderator)

Sector Head & Senior Equity Analyst, Software & IT Services, Bloomberg Intelligence

11:30

Break

11:45

Choose from the following two breakout sessions:

11:45

Breakout Option 1: Real-Time Cloud Strategy (7MPR)

It is no secret that capital markets firms have embraced the cloud.  More surprising, may be how technology executives are encouraging development far beyond a "lift and shift" strategy.  This evolution is creating a new application architecture across the front, middle, and back office; one that is not only more efficient but designed for reliable decision making.  Bloomberg's Enterprise Data offerings can serve as the foundation of this transformation.

In this session Cory Albert, Head of Cloud Strategy for Bloomberg Enterprise Data, and progressive technologists from Bloomberg partners and customers, will discuss how integrating data, infrastructure, and software services in the cloud is helping customers make faster decisions with increased confidence. 

Cory Albert

Cory Albert

Head of Enterprise Data Cloud Strategy, Bloomberg L.P.

Jordan Hu

Jordan Hu

CEO, RiskVal Financial Solutions, LLC

Peter Williams

Peter Williams

Global Head of Financial Services Partner Technology, Amazon Web Services (AWS)

7MPR

11:45

Breakout Option 2: Pricing & Liquidity (28MPR)

  • Pricing: Whether your priority is quality, coverage or independence, BVAL consistently augments transparency with high-quality data for the front, middle office and operations via the Bloomberg Terminal and an enterprise feed.
  • Liquidity: Liquidity risk has always been a key concern for financial firms, however, the problem has recently become more acute, requiring more precise measurement and management. The topic isn't just a concern of risk functions, as portfolio construction, trading decisions, and regulatory compliance are all affected. Understanding liquidity risk is becoming an essential aspect of enterprise risk management.
Pierce Lord

Pierce Lord

Global Head of BVAL Corporate, Gov't and Municipal Pricing, Bloomberg L.P.

Francesco Pontrandolfo

Francesco Pontrandolfo

Head of LQA Product Management, Bloomberg L.P.

28MPR

12:30

Networking Lunch & Keynote Speaker

What does data management technology look like in 10 years, or even 15 years? Helen Altshuler will discuss the future of technology among other key industry trends based on her experience building and managing large scale data and analytics systems at Google, JP Morgan and PeerIQ. 

Helen Altshuler

Helen Altshuler

Senior Engineering Leader, Google

7MPR

13:15

Closing Remarks

Meghan Holohan

Meghan Holohan

Head of Americas Enterprise Data Sales​, Bloomberg L.P.

7MPR