About the event

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About the event
Data fuels every aspect of the capital markets industry. And as financial markets and regulations become ever more complex, so does the financial data — and the technology — needed to make faster and smarter decisions. Firms today need to accelerate financial data pipelines, analyze greater volumes of data at scale, and deliver a unified data model to cloud-based services quickly and efficiently.

Explore these challenges and learn how to achieve your firm’s data goals at the "Capital Markets Financial Data Forum - The future of financial data & analytics in the cloud" – featuring speakers from Bloomberg, Factset, LSEG, Databricks, and Snowflake, as well as capital markets firms, partners, and AWS industry experts. This in-person, exclusive event will take place in AWS's London office at 1 Principal Place, Worship Street. Lunch will be served and there will be an opportunity for networking during happy hour.


Who should attend?

Whether you are a Data Executive, Line of Business Owner, or Data IT Professional, we have content specifically designed to inform, educate, and engage you. All attendees must register.

Agenda

  • 11:30 - 12:00 — Registration & Lunch
  • 12:00 -12:30 — Real-Time Data Integration as a Driver of Cloud Adoption with Bloomberg
    • Bloomberg's Global Head of Real-Time Data and Technology will discuss Bloomberg's journey to make its market-leading real-time data accessible on the AWS cloud, what drives customer adoption of a cloud-first data integration approach, and Bloomberg's latest initiatives to empower its customers to embrace the cloud with speed and efficiency.
  • 12:30 - 13:00 — Unlocking the interconnected datalake with LSEG
    • Discover how your AWS datalake effortlessly integrates with LSEG quantitative data sources for streamlined access, sharing, and querying across your organization. Enhance efficiency and cost-effectiveness by aggregating data from multiple sources.
  • 13:00 - 13:30 — Architecting for a GenAI-future in Financial Services with Databricks and AWS
    • Generative AI is transforming capital markets by automating tasks, analyzing data, and processing unstructured content to enhance risk management and regulatory compliance. For example, enterprises use Generative AI to interpret and advise on regulations and policies, compare procedures, accelerate code compliance checks, and automate breach alerts for regulatory risk.
  • 13:30 - 14:00 — Buy to Build – building on-prem workflows in the cloud for better client outcomes with BMLL
    • An integrated buy and build strategy has long been recognised as a robust operational approach for capital markets institutions. In this session, BMLL discusses taking this a step further. They will explore how buying in specialist third party data and infrastructure can allow firms to focus on their own value add. Using data from a leading specialist, market participants can structure solutions in their cloud environment that set them apart from their competitors, and gain a significant advantage in the race to build differentiated offerings.
  • 14:00 -14:15 — Break
  • 14:15 - 14:45 — Driving Financial Professional Efficiency with FactSet’s Conversational Chat Solutions
    • Join us to learn how FactSet’s latest innovation allow the investment community to navigate complex workflows, query data, and generate efficiencies through natural conversational experiences.
  • 14:45 - 15:15 — Delivering Business Benefit by Adding Cloud Service to FSI Applications in a Hybrid World with Solace
    • A discussion of how FSI clients are adding value integrating new cloud services, such as AI and ML, into applications in cloud native and hybrid cloud environments.
  • 15:15 - 15:45 — A Frictionless Data Experience for Institutional Clients in Financial Services with Snowflake
    • How Snowflake and AWS are connecting buyside and sellside institutions, enabling cloud modernisation to deliver a frictionless experience with data, across all lines of business.
  • 15:45 - 16:30 — Preparing Financial Data for Generative AI with BigID, Collibra, and Immuta
    • As organizations accelerate their adoption of AI at an unprecedented pace, the focus on preparing data for AI has become paramount. In this fireside chat, we'll explore how data discovery, governance, and privacy measures are shaping the landscape as businesses harness the potential of AI technologies.
  • 16:30 - 18:00 — Networking & Happy Hour




About the event

  • Track 1: Accelerating pharma drug discovery with ML
  • Track 2: Unlocking access to and insights from data
  • Day 3
  • Day 4
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Track 1: Accelerating pharma drug discovery with ML

TEST

Track 2: Unlocking access to and insights from data

Day 3

Day 4

Track5 Session 1

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Track6 Session 1

Tab 6 content

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Track7 Session 1

Tab 7 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track8 Session 1

Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track9 Session 1

Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track10 Session 1

Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

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Speakers

Tim Anderson

Tim Anderson, Global Head of Quantitative and Economic Data, LSEG

Tim leads the product and go to market teams, working directly with Tier 1 investment banking, hedge fund, and asset management customers. He provides in-depth knowledge of quantitative trading implementation, market data in the cloud along with real-world use case experiences from institutional investors to retail and day trading users. Before joining LSEG, Tim worked for Deutsche Bank and JP Morgan, where he held roles working in automated and algorithmic trading, front office trading, and compliance along with large outsourcing deals and sales for JP Morgan Investor Services. Tim has worked in London, Singapore, and Frankfurt, and presently works resides in New York.


Jeanine Hightower-Sellitto

Jeanine Hightower-Sellitto, Chief Commercial & Strategy Officer, EDX Markets

From 2020-2022, Jeanine was the CEO of Atomyze, LLC. From 2018-2020, Jeanine served as Managing Director of Operations at Gemini Trust Company, LLC. From 2004-2017, Jeanine held several leadership roles, including Chief Operating Officer, at the International Securities Exchange (ISE), a NASDAQ subsidiary. Jeanine started her career in 1998 as a Financial Analyst at Wachovia Securities. Jeanine serves on the Board of Digital Prime Technologies and serves on the Advisory Board of the Global Digital Asset & Cryptocurrency Association (GDCA). Jeanine was named to the TABB Forum Top 40 Financial Market Innovators List in 2022 and Entrepreneur Magazine’s 100 Powerful Women list of 2020. She is a graduate of The University of North Carolina at Chapel Hill with degrees in Economics and Biology.


Michael Lau

Michael Lau, Global Head of Enterprise Data and Technology Specialists for Major Accounts, Bloomberg LP

Michael is responsible for leading global specialist teams that focus on helping Bloomberg's largest customers solve their enterprise workflow needs in this space. Michael has over 23 years of client facing experience in various leadership roles across NY and London building and leading consultative specialist teams who have successfully helped customers maximize the ROI on their data investment across real-time market data, reference and research data, pricing and valuations, and enterprise data management. Michael resides in Brooklyn with his wife and daughter and enjoys traveling and playing sports outside of work.


Jason 
Murphy

Jason Murphy, Principal Product Manager, Exegy

Jason is a seasoned professional with over 13 years of product management experience in both B2B and B2C sectors. With a focus on market data products for 7 years, he currently serves as the Principal Product Manager for Exegy's Data as a Service platforms, providing valuable insights into financial data and analytics in the cloud evolution.


Bill Ruvo

Bill Ruvo, Business Development, Capital Markets, Equinix

As part of the Equinix Americas Business Development team, Bill is responsible for overseeing, cultivating and expanding the industry’s leading Capital Markets/Electronic Trading ecosystems. In this role, Bill maintains strategic relationships with leading exchanges and trading venues, market makers, HFTs, prop shops, broker/dealers and buyside firms, as well as industry-leading service providers, to enable and optimize their cross-asset class electronic trading activities.

Hosts


AWS logo


Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

BigID logo


BigID empowers organizations to know their enterprise data and take action for data-centric security, privacy, compliance, AI innovation, and governance. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. Find out more at bigid.com.

Bloomberg logo


Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.



BMLL Technologies logo


BMLL Technologies is the leading, independent provider of harmonised, Level 3, 2 and 1 historical data and analytics to the world’s most sophisticated capital market participants, covering European and US equities and ETFs as well as global futures. BMLL offers banks, brokers, asset managers, hedge funds, global exchange groups, academic institutions, and regulators immediate and flexible access to the most granular Level 3, 2 and 1 T+1 order book data and advanced analytics. BMLL gives users the ability to understand market behaviour, accelerate research, optimise trading strategies, and generate alpha more predictably.



Collibra logo


Collibra helps our customers do more with trusted data. Our Data Intelligence Platform brings flexible governance, continuous quality and built-in privacy to the world's leading brands. To learn more, visit collibra.com and follow us on LinkedIn, X, Facebook, and Instagram.



Databricks logo



Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on LinkedIn, X, and Facebook.



FacSet logo

FactSet helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology globally. Clients across the buy-side and sell-side as well as wealth managers, private equity firms, and corporations achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized amongst the Best Places to Work in 2023 by Glassdoor.



Immuta logo

Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and access control, data activity monitoring, and has deep integrations with the leading cloud data platforms. Immuta is now trusted by Fortune 500 companies and government agencies around the world to secure their data. Founded in 2015, Immuta is headquartered in Boston, MA. To learn more about Immuta.





LSEG logo




LSEG is one of the world’s leading providers of financial markets infrastructure and delivers financial data, analytics, news and index products to more than 40,000 customers in 190 countries. They help organisations fund innovation, manage risk and create jobs by partnering with customers at every point in the trade lifecycle: from informing their pre-trade decisions and executing trades to raising capital, clearing and optimisation.

Snowflake logo


Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 691 of the 2023 Forbes Global 2000 (G2K) as of January 31, 2024, use Snowflake Data Cloud to power their businesses. Learn more at Snowflake.



Solace logo

Solace helps large enterprises become modern and real-time by giving them everything they need to make their business operations and customer interactions event-driven. With PubSub+, the market’s first and only event management platform, the company provides a comprehensive way to create, document, discover and stream events from where they are produced to where they need to be consumed – securely, reliably, quickly, and guaranteed. Behind Solace technology is the world’s leading group of data movement experts, with nearly 20 years of experience helping global enterprises solve some of the most demanding challenges in a variety of industries – from capital markets, retail, and gaming to space, aviation, and automotive. Established enterprises such as SAP, Barclays and the Royal Bank of Canada, multinational automobile manufacturers such as Groupe Renault and Groupe PSA, and industry disruptors such as Jio use Solace’s advanced event broker technologies to modernize legacy applications, deploy modern microservices, and build an event mesh to support their hybrid cloud, multi-cloud and IoT architectures.

Track 1: Accelerating pharma drug discovery with ML

12:00 PM - 6:00 PM ET
12:00 pm

Registration & Check-in

Boxed lunches will be provided
_________________________________________________________

12:30 pm
Welcome & Introduction
AWS Leadership Keynote
_________________________________________________________

1:00 pm
End-to-End Research Innovation
Lightning Talk
_________________________________________________________

1:15 pm
Hype or Hope - Drivers & Considerations for AI/ML in Research
Panel Discussion
_________________________________________________________

1:45 pm
Coffee Break
_________________________________________________________

2:00 pm
Cloud Economics - Unlocking Costs & Operational Efficiencies Across the Value Chain
AWS-led Talk
_________________________________________________________

2:15 pm
Maximizing Productivity & Scale with High-Performance Computing & Cryo-EM in the Cloud
Lightning Talk
_________________________________________________________

2:30 pm
Applications of Protein Structure Prediction in Drug Design
Lightning Talk
_________________________________________________________

2:45 pm
ML Innovations for Pharma Drug Discovery - What's Next?
AWS-led Talk
_________________________________________________________

3:00 pm
Coffee Break
_________________________________________________________

3:15 pm
Knowledge Graphs - Integrating Information for Semantic Learning
Lightning Talk
_________________________________________________________

3:30 pm
ML-driven Therapy Development & Customization
Lightning Talk
_________________________________________________________

3:45 pm
Bringing It All Together - Getting Ready for Where We’re Headed
Closing
_________________________________________________________

4:00 pm
Networking Reception
_________________________________________________________

Day 2: Wednesday, October 5

9:00 AM - 12:00 PM PT   |  12:00 PM - 3:00 PM ET

Learn how to optimize workforce productivity and performance, personalize customer experiences, and build a scalable contact center on Amazon Connect.

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Speakers

  • Cory Albert

    Cory Albert

    Global Head of Real-Time Data and Technology, Bloomberg
    Cory manages Bloomberg's Real-Time data business, which includes the B-PIPE consolidated market data feed, the Bloomberg Desktop API, Bloomberg Server API, and Event Driven Feeds for Bloomberg News and Analytics. Cory has held numerous positions at Bloomberg over the last two decades, including Global Head of Cloud Strategy for Enterprise Data, Head of Strategic Partnerships for Enterprise Solutions, Head of Product Development for Real Time Technology, and roles in technical product development and software engineering. Prior to joining Bloomberg, Cory worked for the Securities Industry Automation Corporation as a senior consultant in the NYSE Product Planning and Management division.


  • Nathan Attrell

    Nathan Attrell

    Head of Financial Services EMEA, Snowflake
    Nathan leads the Snowflake Financial Services business in EMEA, working with established customers as they transition their data strategy and related priority workflows to the cloud. Prior to joining Snowflake, Nathan worked at Refinitiv for 18 years, where he focused on defining Refinitiv's cloud data distribution strategy and managed data services in the cloud. Prior to that Nathan led Refinitiv's enterprise commercial strategy and hedge funds business, and drove the business and execution strategy for big data initiatives supporting quant research, trading and regulation, and multi-cloud distribution. Before joining Refinitiv, Nathan formerly worked as an equity derivatives broker in London and Paris.


  • Mat Hobbis

    Mat Hobbis

    Chief Architect FSI, Solace
    Mat joined Solace in 2005 and currently hold the post of Chief Architect (FSI). He has extensive expertise within the messaging space and has worked to successful planning and deployment of ‘Event Driven Architecture’ and global enterprise wide application messaging for many of Solace’s largest clients. Mat works closely with all of the major FSI accounts and partners globally providing guidance on messaging and application architecture.

  • William L’Heveder

    William L’Heveder


    Chief Growth Officer, BMLL
    William joined BMLL from the Boston Consulting Group where he spent 5 years advising clients in the capital markets & technology space across a number of strategic topics in the sales & trading, data and technology space as well as mapping the evolution of the regulatory landscape. He also undertook numerous due diligences and private equity transactions in the trading technology space. Whilst at BCG he published 4 publications on the state of the industry and won awards for his RWA inflation models which were quoted in the national press. Prior to BCG, William spent 4 years on the buy-side trading equities & interest rate futures as well as in operational roles. He holds a degree in Economics from Durham University.

  • Junta Nakai

    Junta Nakai


    Global VP, Financial Services, Databricks
    Junta Nakai is the Head of Financial Services, Sustainability and Cyber Security Go-To-Market and a Global Vice President at Databricks. In his capacity, he is responsible for driving the world wide adoption of the Databricks Lakehouse platform across Capital Markets, Banking/Payments, Insurance and Data Providers as well as the advancement of ESG and Cyber Security use-cases across all verticals. Prior to joining Databricks, Junta spent 14 years at Goldman Sachs, where he served in various leadership roles in the Equities Division. He is a contributing Business and Technology writer for Business Insider/Harvard Business Review/Forbes/etc. and is widely credited for coining the concept of Return on Data Asset (RODA) in an article written for CFO Magazine in 2022. He is a frequent keynote speaker at conferences ranging from Web Summit to Money2020.

  • Will Winzor-Saile

    Will Winzor-Saile

    Partner, Execution Architecture and Analytics, Redburn Atlantic
    Will joined Redburn in 2015 and has been responsible for building out their global trading infrastructure and analytics products. Prior to joining Redburn, he worked as an Electronic Execution Specialist at Fidessa, developing their low-touch trading tools and algorithmic products in Europe. Will has nearly fifteen years’ experience in the industry, specialising in analytics, advanced trading tools and liquidity capture.

  • Bill Ruvo

    Bill Ruvo

    Business Development, Capital Markets, Equinix
    As part of the Equinix Americas Business Development team, Bill is responsible for overseeing, cultivating and expanding the industry’s leading Capital Markets/Electronic Trading ecosystems. In this role, Bill maintains strategic relationships with leading exchanges and trading venues, market makers, HFTs, prop shops, broker/dealers and buyside firms, as well as industry-leading service providers, to enable and optimize their cross-asset class electronic trading activities.

  • Abhishek Singh

    Abhishek Singh

    Head of Wealth Management Practice – North America & UK, Capgemini
    Connect with me on LinkedIn

  • Chirag Thakral

    Chirag Thakral

    World Wealth Report Lead, Capgemini
    Connect with me on LinkedIn

  • Connie Workman

    Connie Workman

    Head of Sales - CXE, AWS
    Connect with me on LinkedIn

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Epics Games

Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

  1. Where is AWS Innovate hosted?
  2. What is the price of attending AWS Innovate?
  3. Who should attend AWS Innovate?
  4. How do I get the certificate of attendance?
Q: Where is this event?

A: This event is an online event, hosted by AWS on the INXPO platform.

Q: Who should attend this event?

A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.

Q: How much does this event cost?

A: There is no cost to attend this event.

Q: What are the prerequisites before attending the event?

A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.