Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

A roadmap for open data science and AI for business: Panel discussion with State Street

Bethann Noble (Cloudera), Daniel Huss (State Street), Abhishek Kodi (State Street)
5:25pm–6:05pm Wednesday, 09/12/2018
Data science and machine learning
Location: 1A 12/14 Level: Non-technical
Average rating: ****.
(4.00, 1 rating)

Who is this presentation for?

  • Analytics and data science leaders

Prerequisite knowledge

  • A basic understanding of commercial and open source data science tools and enterprise software provisioning and deployment

What you'll learn

  • Learn best practices for developing a culture of open data science


While investment in infrastructure for AI continues to grow, attaining meaningful business results with applied machine learning and AI requires a practical roadmap that involves team structures and process design in addition to new technology adoption.

Bethann Noble, Abhishek Kodi, and Daniel Huss share their experience and best practices for designing and executing on a roadmap for open data science and AI for business. Bethann, Abhishek, and Daniel discuss State Street’s migration from legacy platforms to open source data science software such as Python, R, and Apache Spark and outline new org structures and practices for rapidly delivering new AI products to market, including State Street’s Verus, a machine learning-based insight service for investors.

Topics include:

  • Understanding and aligning data science software to practitioner user needs
  • Options for code migration and rebuilding
  • Eliminating data silos
  • Delivering new data products aligned to business needs and opportunities
  • Building a scalable data science and machine learning innovation engine for business
Photo of Bethann Noble

Bethann Noble


Bethann Noble is a director of product marketing at Cloudera, responsible for driving marketing and strategy initiatives in support of Cloudera machine learning solutions. Previously, Bethann held roles in developer and product marketing, technical sales, and software engineering at IBM, with several years’ experience in high-performance computing and big data and analytics technologies. She holds a bachelor’s degree in mathematics from the University of Texas at Austin.

Photo of Daniel Huss

Daniel Huss

State Street

Daniel Huss is head of product management for Verus at State Street. Previously, he laid the foundation for the very product he’s building now with Boston Consulting Group’s Digital Ventures. In another life, he would have been a physicist. He tries to fake it by applying as much scientific method as he can to product development and entrepreneurship, valuing uncertainty and ambiguity and having a default setting of “build, measure, learn.”

Photo of Abhishek Kodi

Abhishek Kodi

State Street

Abhishek Kodi is a data engineer on the Verus team at State Street, where he strives to create novel solutions for deterministic and nondeterministic problems that balance business asks against learning frameworks. His focus area is supervised and unsupervised analytical solutions that merge natural language processing, supply chain, and financial data. His integral approach to understanding business needs, playing a part in designing ML-driven solutions, and implementing them for production systems enables sustainable pathways from ML tools to meaningful business solutions.