Скачать или смотреть Data Science Best Practices

Join this session to learn about the ground-breaking work done to define AI / Data Science best practices that you can use. To scale AI projects to have an impact across an organization requires an updated methodology. This session will provide thought provoking ways to ensure that a proof of concept is able to scale and have the intended impact.

Speaker: Wouter Oosterbosch, Chief Data Scientist Europe, IBM, Advanced Analytics Center of Competence.
Wouter, neuroscientist by trade and a data geek at heart, Wouter is an experienced cross-industry data science consultant who has seen companies through the phases from an unplanned data landscape through to actionable results delivery. Wouter is passionate about the ongoing data revolution, advanced analytics techniques, and ways to correctly interpret and elegantly visualize and communicate all sorts of datasets.

Speaker: Beth Rudden, Data Science & Analytics Executive, IBM
Beth, Global executive leader with 20+ years of IT and data science experience at global technology company IBM. Builds teams, products, and cognitive enterprises and thrives on transforming lives through ethical data use. Produced patented solutions that led to clearer insights, better customer understanding, and faster implementation. Turned innovation and a customer-focused problem-solving approach into a $2 billion business. Current role is driving transformation for IBM’s Clients through the design and delivery of operationalized AI systems that are explainable, ethical and can be adopted by every human. Redefining the experience of the human for our shared future.