Driving Revenues with Highly-Personalised, Real-Time Recommendations

Ippen Digital and TigerGraph – CxO Share Forum

12th May 2020, 6PM

Mandarin Oriental Hotel | Munich

You face an open-ended challenge: to maximise the revenue opportunity out of each interaction with every customer. Every company faces the additional challenge of matching the right product or service based on immediate browsing and search activity along with the historical data for the customer. Recommender systems are designed to address this business need – now, more than ever, businesses are looking to capture the business moments into revenue and win market share with their personalised offers.

Using a graph for recommendation analytics is the key step towards faster and more personalised recommendations. Doing this in real-time allows for more powerful contextual analysis of data, opening up vastly more information on each customer and delivering hyper-personalised recommendations for higher engagement and increased revenues.

Join us for dinner and discussion about new and better ways of transforming your business. Ippen Digital, a pioneer in driving digital revenue through more sophisticated use of content and audience data, will share their experience with graph databases.

Discussions will be led by Martin Darling, EMEA Managing Director, TigerGraph and Jan Ippen, CEO, and Markus Franz, CTO, at Ippen Digital.


Increasing revenue with hyper-personalised real-time recommendations
Increasing scale and performance of data analytics operations
Building a 360-degree view of your customer
Combining ML and graph databases for contextual analysis of data
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Mandarin Oriental Hotel

Address: Neuturmstraße 1, 80331 München, Germany

Tuesday, 12th May 2020 | 6:00PM – 10:00PM


TigerGraph is the world’s fastest graph analytics platform designed to unleash the power of interconnected data for deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph supports applications such as IoT, AI and machine learning to make sense of ever-changing big data. TigerGraph’s proven technology is used by customers including Uber, VISA, Alipay, Wish, China Mobile, State Grid Corporation of China, and Zillow. Founded by Yu Xu, Ph.D. in 2012, TigerGraph is funded by Qiming VC, Baidu, Ant Financial, AME Cloud, Morado Ventures, Zod Nazem and DCVC. TigerGraph is based in Redwood City, CA and is a U.S. corporation incorporated in Delaware.



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