Waters Wrap: Why Banks Should Start Experimenting with Quantum Today (And ESG’s Next Wave)

If banks want to future-proof against quantum computing disruption, Anthony says they need to start experimenting now. But there’s another reason to start down this path: as Goldman Sach’s William Zeng explains, there’s a lot of funding that’s available right now to jumpstart these projects.

Before we get going, just in case you didn’t see them during the last two weeks, here are our year-end round-ups of a few topics that you might find of interest: machine learning, natural language processing, app interoperability, Asia innovation, and lessons learned from the coronavirus.

We hope that these stories serve as useful one-stop-shops that provide a wide variety of actual, real-world initiatives and projects currently underway in the capital markets. Enough of that—let’s get to it.

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Back to basics: Taxonomies, lineage still stifle data efforts

Voice of the CDO: While data professionals are increasingly showing their value when it comes to analytics and AI adoption, their main job is still—crucially—getting a strong data foundation in place. That starts with taxonomies and lineage.

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