The scope and scale of structured and unstructured data that financial firms must manage continues to grow exponentially, calling for innovative approaches that can deliver automated, accurate and timely decision making. Artificial intelligence (AI) and cognitive computing are prime contenders to ease the enterprise data management burden, but what types of solutions are available, how do they work, how can they be integrated into existing infrastructure, and to what extent can they benefit firms now and in the future?
Register for the webinar to find out about:
Moderator: Sarah Underwood, Editor,
David Newman, Strategic Planning Manager, Senior Vice President, Innovation Group, Wells Fargo Bank
Greg Malatestinic, Head of Technology, Jordan & Jordan
Tony Brownlee, Partner, Kingland
Strategic Planning Manager, Senior Vice President, Innovation Group
Wells Fargo Bank
David provides leadership and expertise for the advancement of machine intelligence based data strategies, capabilities, and technologies for Wells Fargo. David’s team develops and prototypes innovations that employ various AI technologies for business value, which includes semantic web technology, machine and deep learning, and natural language processing. David founded and leads the Wells Fargo Machine Intelligence Community of Interest.
David also chairs the Financial Industry Business Ontology (FIBO) initiative, which is a collaborative effort of global banks and vendors, under the auspices of the Enterprise Data Management Council, to semantically define a common language standard for finance using semantic technology. David is engaged in a variety of operational applications of the FIBO ontology. This includes risk management and regulatory compliance; using FIBO as a scaffolding for building enterprise ontologies, as well as using FIBO as a means to optimize and better exploit machine learning for finance.
Head of Technology
Jordan & Jordan
Greg manages the development of systems-based services at Jordan & Jordan, where he is responsible for delivering market data reporting, regulatory trade reporting and post trade compliance solutions. With a focus on regulatory compliance he has assisted clients with their SEC Market Access, 17a-4 data retention, and RegSCI system integrity/security requirements. He has also managed numerous technology infrastructure assessments in areas such as system performance, post-mortem analysis of service outages, service validation and testing policies, analysis of industry-standard order-routing protocols, and OATS/EBS regulatory reporting. He is currently driving efforts to apply machine learning capabilities to post trade surveillance, specifically in the detection of trading violations such as spoofing and layering.
Greg also co-chairs two FIX Trading Communities working groups: the FIX Algorithmic Trading Working Group where he led in the creation of FIXatdl, an extensible markup language used to define data models and interfaces of advanced order types, and the FIX High Performance Working Group Google Protocol Buffers Subgroup where they have developed a method to use Google Protocol Buffers technology to produce fast and compact encodings of FIX messages.
Tony Brownlee is a Kingland partner and board member, responsible for leading and setting the company’s Data Science and Research strategy worldwide. Mr. Brownlee has been instrumental in leading complex data and software initiatives at Kingland, as a founding member of the Kingland team that built the company’s first data platform, to his work with the Legal Entity Identifier (LEI) developing the first LEI platform in the world for DTCC. Mr. Brownlee’s leadership extends across the company as he has managed numerous operational, product development, business development, and client relationship management functions for the company. Tony worked closely with US regulators for more than four years on the Consolidated Audit Trail and is a leading expert on customer and account data and regulatory reporting issues. Mr. Brownlee is recognized as a thought leader in financial services and data topics and speaks regularly on data quality, data governance, data standards, legal entity and hierarchy data, and cognitive technologies and has served on various committees including the Securities Industry Financial Markets Association (SIFMA); the International Standards Organization (ISO); the Financial Stability Board (FSB) for the LEI; and the Enterprise Data Management Council (EDMC).