Recorded Webinar: In data we trust – How to ensure high quality data to power AI
Artificial intelligence is increasingly powering financial institutions’ processes and workflows, encompassing all parts of the enterprise from front-office to the back-office.
As organisations seek to gain a competitive edge, they are trialling the technology in variety of ways to streamline and empower multiple use cases. Some are further than others along the path to achieving their AI transformation while many are still assessing how to implement the latest technologies.
One thing they are all pursuing, however, is good quality data to drive and nourish their AI models. Without that key ingredient, organisations will not only fail to get the best out of their AI technology, they may also do harm if the outputs from their models are rendered inaccurate or erroneous due to poor data inputs.
This webinar will discuss how organisations can ensure their data is of high enough quality to effectively drive their AI models and to avoid the potential pitfalls of using poor information.
Topics discussed include:
- How data collection processes can be optimised to reduce errors and inaccuracies
- Data cleansing strategies at the start of organisations’ data pipelines
- Standardisation and mastering to vouchsafe data integrity and validity
- The need for robust governance strategies to ensure data security
Speakers:
Moderator: Mark McCord
Editor, Data Management Insight
A-Team Group
More about our speakers:
Marla Dans
Head of Data Management & Governance
Formerly Chicago Trading Company
Marla A. Dans is a seasoned Chief Data Officer in the Financial Services industry, spanning Buy-Side, Sell-Side, and FinTech, most recently as Head of Data Management & Governance for Chicago Trading Company. She established a Chief Data Office for Tradeweb, consulted for financial services and healthcare, held strategic roles at JPMorgan Asset Management, and two decades with Morgan Stanley.
Alpesh Doshi
Managing Partner
Redcliffe Capital
A founding partner of Redcliffe Capital, the firm specializes in investing in companies that help enterprises and entrepreneurs leverage innovation in technology such as digital, big data and analytics, AI and technology.
Alpesh’s career started over 25 years ago after graduating in computer science and he now works helping enterprise innovative and implement new technology and business models. He believes that technology and AI tied with business change can transform and enterprise or an industry. He invests and builds in the financial services, media, energy, sustainability and entertainment sectors.
Mike Pickart
Director, Technical Sales
Informatica
Mike Pickart is a leader in Informatica’s solution architecture practice, directing a team of solution architects supporting various enterprises including banking, capital markets, and alternative asset clients. At Informatica, he drives engagements that leverage the capabilities of Informatica’s Intelligent Data Management Cloud to solve diverse business challenges. He is a requested speaker on various data management topics, most recently delivering a session on ‘Navigating Generative AI: Foundational Strategies’ to the Philadelphia chapter of DAMA. Prior to his current role, Mike worked at Linedata, where he worked in the fintech space with alternative asset and hedge fund customers.
Sponsors
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