To watch recorded webinar visit our Resources page at Thinknum Alternative Data
Generate Rapid Business Impact with Alternative Data
with Norman Niemer
November 19th, 2020 11:30AM - 12:30 PM EST
Join us as guest speaker Norman Niemer explains how to build alternative data solutions that deliver business impact with little resources. Norman will discuss how to apply lean startup methodology to data science, so you can rapidly prototype and iterate towards impactful solutions and insights.
This webinar is part of a series of global volatility virtual events featuring thought leaders in finance, business intelligence and data. It is brought to you by Thinknum Alternative Data in partnership with Slack's External Data Community channel and the Alternative Data Community Forum.
The Business of Business tracks and curates real-time information, ideas and insider tips for the ambitious, bold and hungry to get ahead.
Subscribe to the EXDC Slack channel here. We started this community to bring together external data enthusiasts looking to network, get industry insights, and learn about upcoming events and job opportunities.
Marta V. Lopata is the Chief Growth Officer at Thinknum Alternative Data and Kgbase - no-code knowledge graph tool. In 2019, Marta has founded External Data Conference - the world’s first annual conference bringing together leading minds in finance, business, media, government and sustainability to discuss the real-world applications for alternative data.
Marta is also a co-Founder of Thinknum's media outlet which attracted millions readers with its alternative-data focused market insights about leading public and private companies.
Marta is frequently quoted in the Business Insider, Institutional Investor, TechCrunch and other business publications; and is often a featured panelist at major market-related conferences.
Marta speaks 4 languages (Chinese, French, Polish and English) and before immigrating to the US, she led product & growth teams in digital fabrication and sustainable materials in China and France.
Norman Niemer is the Chief Data Scientist within UBS Asset Management's Quant & Data Science (QED) team, where he delivers data-driven investment insights. He is also responsible for both the business as well as technical aspects of multiple innovation projects that augment human decision makers with machine intelligence.
Outside of investment management, he builds open source libraries that accelerate data science and has led teams that built AI-based products that won several high profile hackathons. He holds a MS in Financial Engineering from Columbia University and a BS in Banking and Finance from Cass Business School (London).