• Dânia Meira

#datalift use cases in production for financial services

Let's break the proof-of-concept cycle and productionize data analytics and machine learning.

With #datalift, we show you how business and government can scale the data economy now.




In this post, we highlight use cases in production presented by AI Guild members who are experts in deploying ML for financial services.





Automated decision-making for supplier management. Invoice classification


Presented by Dr. Nicholas Hoff, Founder, New Approach Technologies

Moderated by Evan Simpson, Machine Learning Engineer


Dr. Nicholas Hoff is the founder of New Approach Technologies. He has been in the field since 2011. Nick holds an MSc in Aerospace, Aeronautical, and Astronautical Engineering from MIT, and a Ph.D. in AI from Harvard University. Dr. Nicholas Hoff has been accredited by the AI Guild as qualified to perform at the highest standards for technical competence, ethical behavior, business impact, and benefits to society. He has been recognized by his peers as a global practitioner with 10+ years of experience and validated expertise in Data Science and Deep Learning.


Can you automatically and accurately decide whether to pay an invoice? How to automate decision-making at the 99.5% confidence level. Dr. Nicholas shows the invoice classification problem he solved for his consulting client Société Générale. We survey some of the machine learning techniques that he considered using: why they worked, and when they didn't work. Finally, he discusses the solution that went into production and elaborates on some of the more interesting points about productionizing machine learning.


Watch the recorded live session here:


Read the full use case in the #datalift ebook in Kindle.

Putting Data Analytics in Production for 50 Million Customers. An Insight into Sparkassen-Data Analytics


Presented by Dr. Nevena Palic, Data Scientist at S Rating und Risikosysteme GmbH

Moderated by Promit Ray, Data Engineer


Dr. Nevena Palic is a Data Scientist in the Data Analytics department at S Rating und Risikosysteme, a central service provider for the Sparkassen-Finanzgruppe in Germany. She has been in the field since 2018. Before that, she completed a PhD in Mathematics.


S Rating und Risikosysteme GmbH develops Data Analytics solutions to support financial institutions in Sparkassen Finanzgruppe in customer advisory all over Germany. Sparkassen-DataAnalytics is a set of various solutions based on machine learning and data analysis that help the financial institutions in understanding their customers, addressing them specifically and advising them in an optimal way.


In this talk presented live at #datalift No 2, Dr. Nevena gave an insight into the work of the Data Analytics department at SR and we will have a closer look into one B2B product affinity score. Read more at this link.



Automated credit risk assessment. How Klarna scales online shopping transactions


Presented by Vaibhav Singh, Senior Data Science Manager, Klarna

Moderated by Corrie Bartelheimer, Senior Data Scientist


Vaibhav Singh is the Senior Data Science Manager at Klarna, Europe's most highly valued fintech startup processing >1m transactions daily. Vaibhav has been in the field since 2015 and was a software engineer prior. He holds an MSc in Communications System Engineering from the University of Portsmouth, UK.


For a leading online payment solutions provider, automated decision-making needs to be fast and accurate. Klarna uses Machine Learning models to provide a one-click solution at the point of sale that effectively takes the risk away from both the seller and the buyer. Risk management is an important part but not the only thing anymore in Klarna. The company is now moving into social shopping in which shopping personalization, for example, AI-based personal stylist, will play an important role.


Watch the recorded live session here:



Read the full use case in the #datalift ebook in Kindle.

Make #datalift Season 2 happen!


Across more than ten industries, from leading corporates to leading startups, and on to new firms, we have heard from those having use cases in production. With a loyal audience of practitioners, of which more than half have roles as Seniors, Leads, Directors, and CxO, the #datalift event series from No 1 to 5 has become the key forum for exchange on what works and what is best practice.



#datalift is the online meeting space where the audience most interested in closing the gap to deployment gathers.


The AI Guild would like to have your company as a partner in growing the ecosystem of deployment: we offer year-round visibility for your content, presence in live events, qualified leads, and analytics. You achieve recognition with professionals across Europe for your solution, team, and data strategy by supporting the drive for more deployment.


The partnership is for the whole season or for as many events as your company likes. Partnership starts from €1000 per event, and the range is to €63000 for the premium season ticket.


If you are interested, click here and book a conversation

with Dânia Meira, head of #datalift

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