Upcoming Webinar: Strategies, tools and techniques to extract value from unstructured data
Date: 12 September 2024
Time: 10:00am ET / 3:00pm London / 4:00pm CET
Duration: 50 minutes
Unstructured data is voluminous, unwieldy and difficult to store and manage. For capital markets participants, it is also key to generating business insight, making better-informed decisions and delivering both internal and external value. Solving this dichotomy can be a challenge, but there are solutions designed to help financial institutions digest, manage and make best use of the data.
This webinar will review the challenges presented by unstructured data, discuss its potential, and provide practical guidance on strategies, tools and techniques that can be used to extract value from the data. It will also consider underlying technologies such as natural language processing (NLP), artificial intelligence (AI) and generative AI (GenAI). In conclusion, the webinar will discuss the benefits of successful approaches to unstructured data.
Register for the webinar to find out more about:
- The extent to which financial firms are using unstructured data
- Challenges of sourcing, managing and analysing the data
- Strategic approaches to extracting value from unstructured data
- Practical advice on helpful tools, techniques and technologies
- Benefits of getting it right, penalties of getting it wrong
Speakers:
More about our speakers:
Ashly Joseph
Data Management Lead
JP Morgan
Ashly Joseph is the Solutions and Data Enablement Lead for the Corporate Technology at JP Morgan Chase. She is an innovative leader driving data-driven transformation. In the current role, she is spearheading the development and implementation of data strategies to enhance business performance. She is an expert in designing and implementing solutions to optimize business performance by empowering teams to leverage data insights for strategic decision-making.
Brian Greenberg
Business Engagement Lead for Enterprise Data Management
BNY
Brian Greenberg is the Business Engagement Lead for the Enterprise Data Management group at BNY. In this role, he works with the Data Leadership across the firm’s various Lines of Business and Corporate Functions to deploy the Enterprise Data Strategy in those areas, making use of the Enterprise Data Governance tools, processes and policies/procedures to source accurate, complete, timely and consistent authoritative data for all internal and external reporting needs.
Vahe Andonians
Founder, CPO and CTO
Cognaize
Vahe Andonians is a banker, data scientist, entrepreneur, and senior lecturer at the Frankfurt School of Finance & Management. Over the past 20 years, Vahe has been at the forefront of AI and deep learning, founding several AI start-ups, including an AI-based analytics company specializing in the fixed income market.
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