Dataiku Ebook

Turn Data From Cost Center to Revenue Stream

Leverage AI in Banking

Most banks today are at the beginning of their AI journey, and they fundamentally have a lot of the pieces in place already but moving forward isn't easy. This ebook lays out the path to AI efficiency and dominance for financial services organizations.

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Jason Moolenaar, Pierre Ménard, and Hursh Rughani

About the Authors

Jason has more than 20 years of experience in financial services and technology. After beginning his career as an equity sales trader with Deutsche Bank, Jason continued on as a Junior Portfolio Manager for a boutique asset management firm. He subsequently spent the majority of a nearly nine-year career at Bloomberg in the electronic trading group. He currently leads financial services sales across Eastern United States and Canada at Dataiku.

Pierre has 14 years of experience in technology, mainly dealing with financial services customers. He started his career at a French IT consulting firm in its dedicated Banking & Insurance unit. Today, Pierre leads the financial services team in France at Dataiku. He has been at Dataiku for more than five years, which means he worked with its very first customers and has been able to see the expansion and deployment of more advanced use cases over time.

Hursh spent most of his time working with investment management companies starting his career off in consulting focusing on financial services. At M&G Investments (Prudential), he worked closely with the company’s Analytics Centre of Excellence as well as projects within risk, finance (AUM and FUM analysis), and operations. Today, he leads financial services sales in the United Kingdom and Ireland at Dataiku.

Jason Moolenaar, Pierre Ménard, and Hursh Rughani
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Provide Fundamental Value With AI

This Ebook Breaks Down:

  • What it means to leverage AI in banking
  • Use cases for AI in banking
  • Top challenges to AI adoption + how to address them
  • Top initiatives banks can begin now to get started with AI