April 07 - 08, 2025
Westin Copley Place, Boston MA
Whenever new technologies pop up, there is a degree of skepticism that it could be a solution looking for a problem. Artificial Intelligence and Machine Learning squeeze time, and improve both data preparation and data quality rules—in theory. While some are unsure of where these technologies fit, machine learning and AI are starting to pass the test when it comes to helping solve issues around data quality and risk reporting. How can machine learning and AI support overall data quality and drive business outcomes? Hear experts cut through the noise to share insights on:
· What are the strategic considerations behind their use? What parts of data governance can be automated?
· How do you integrate AI/ML with legacy systems?
· Can AI/ML be scaled? Case studies of successful scaling
· Applying AI to meet risk reporting requirements
· Driving analytics functions
Since its creation around 2009, cryptocurrency is rapidly becoming an alternative yet volatile method of capturing value. Both the public and companies worldwide are investing and using digital assets for a host of investment, operational, and transactional purposes. In this discussion, we aim to explore how cryptocurrency, and its concomitant technology Blockchain, will affect aspects of data governance:
• What is the current rate of acceptance of cryptocurrency in Financial Services? How has this adoption currently impacted Data Management professionals?
• Several asset management firms are creating products using cryptocurrency as their base. What role does data play in the creation and monitoring for these financial products?
• What’s the future of crypto current and blockchain and what should data management professionals do to be prepared?
FIMA wants to make sure you stay energized throughout the rest of the conference, so head over to the Data Management Café, grab a cup of coffee and snack to fuel your note taking.
In 2020, the Federal Financial Institutions Examination Council (FFIEC), a multi-agency task force, issued a statement highlighting “… examples of risk management practices for a financial institution’s safe and sound use of cloud computing services and safeguards to protect customers’ sensitive information from risks that pose potential consumer harm.” Shortly after that, in 2021, the EDM Council launched the Cloud Data Management Capabilities (CDMC) Framework, which represents Industry best practice for managing sensitive data in the Cloud. Moderated by John Bottega, President of the EDM, listen to senior Data Management professionals give us their thoughts on the challenges they face with regard to protecting data in the Cloud.
Are you aware of the blind spots that exist in your data pipelines? What causes these blind spots? What can be done to increase transparency across all your data flows? This session discusses the conditions that result in a lack of visibility, the challenges they create, and then reviews how automated data lineage and active metadata management is able to reduce these blind spots and increase the productivity and reliability of your critical data pipelines.
(Limited to 25 participants from financial institutions only)
This is your opportunity to meet peer senior executives and create new connections. During this structured meet-up you will:
· Outline business priorities
· Discuss business challenges
· Share your learning objectives for FIMA 2022
Some of the topics Iman Hoque, Chief Product Officer, will touch upon include:
• Understand, through demos, how single views across internal and external data as well as knowledge graphs can provide real world context as input to automated decision-making models
• Explore how a data utility can use a single copy of data to feed both batch-based model development as well as real time model based decisioning with full context across many different decisioning use cases
• See how leading financial institutions are building their cloud-based data utilities, leveraging existing investments such as MDM programs or data lakes, and using them to service multiple use cases from KYC and financial crime to customer intelligence, fraud and risk identification
As data organizations continue to mature, the focus is shifting to more offensive data management, but it’s not always clear how you become more offensive. Data governance has tremendous potential to support and enable the business, including analytics and revenue growth. Find out how you can push data governance to the next level, including how to:
· Further institutionalize the process of governance to enable digital ambitions
· Get stewards to become more active when stewardship is not their sole function and timing is limited
· Set up governance for unstructured data and data in the cloud
Leverage new use cases for data governance to support the business
Some of the most exciting innovations in data capabilities are coming from the FinTech community and it’s challenging to keep up with the pace of change. Across industry there is significant interest in natural language programming (NLP), artificial intelligence, cognitive computing and automation but how can you assess which capabilities will bolster your data organization to support business growth? After a challenging couple of years, we are pleased to bring back the annual FIMA FinTech Innovation Award.
We’re delighted to welcome four new emerging FinTech innovators to showcase their promising disruptive technologies. Each company will have 5 minutes to share their technology and 10 minutes of Q&A time with a panel of data management executives. Hear your peers ask deep dive questions around how each of these technologies will better support increased efficiency, scalability, value, growth and more. Our expert panel will vote on the most promising technology capability and the winner will be awarded the annual FIMA FinTech Innovation Award.