With over 20 years of solution and enterprise architecture experience in organisations such as Xerox, Computer Sciences Corporation, Fujitsu and Hewlett-Packard, Giacomo’s area of expertise is in the intersection between business, service and technical strategy. Giacomo holds a degree in information science from the University of Pisa and a doctorate degree in system engineering from University College London.

Jakob Riis Bentsen is reshaping the BI organisation at Maersk to meet future demand and requirements. The key to the transformation he drives is the courage to challenge the norm and being outcome oriented and innovative while role modeling a strong product mindset.

Norbert Eschle is an enterprise architect and technologist with advisory, strategy and implementation experience gained in industry, consulting and technical sales roles. He has international experience working primarily in the finance and technology markets. In his role as enterprise data architect, Norbert is responsible for the enterprise data technology strategy supporting Direct Line Group’s CTO and CDO.

Ole Busk Poulsen is data officer at Nordea with responsibility for implementing data gover­nance in group functions like risk, finance, crime prevention and IT. He is also a member of Nordea’s data management committee, where the data governance strategy is anchored. Before joining Nordea, he worked with data governance at BEC and Danske Bank. He has a background in the data warehouse and business intelligence domain and has been working in IT as well as on the business side.

Ahmed Serag is a senior research scientist at Philips. He has over 13 years’ experience in turning complex data into knowledge for top-tier firms and academic institutions in the USA, Europe and the UK, using cutting-edge research focussed on AI, machine learning and deep learning. Ahmed earned a PhD in computer science from Imperial College Lon­don, a master’s in biomedical engineering from the University of Lübeck and a bachelor’s in biomedical engineering from Cairo University.

Andy Bitterer is SAP chief evangelist EMEA for BI and analytics, providing thought leader­ship and raising the global profile of SAP Analytics and SAP Leonardo. Previously, Andy worked at SAS as senior director for the BI product line, managing the product manage­ment, product marketing and competitive intelligence teams. Prior to that, Andy was an in­dustry analyst covering business intelligence, data management and location intelligence, as BARC/CXP research fellow, and as research VP at Gartner, where he authored Magic Quadrants, Hype Cycles, and Predicts, chaired the European BI Summit and spoke at many conferences worldwide. Andy joined Gartner with the acquisition of META Group, where he started in September 2001. Before that, he was managing director and CTO at Antfactory, a strategic investment and venture capital firm, and spent 15 years at IBM in various man­agement, consulting and technical roles in Germany, Canada and the United States. Andy has authored numerous books on application development, data management and object technology, he holds a master’s degree in computer science from the Technical University Darmstadt and he’s also an accomplished pianist and award-winning photographer.

Dr. Andrey Sharapov is a senior data scientist and machine learning engineer at Schwarz IT. He is currently working on various projects related to machine learning and data prod­uct development, including analytical planning tools that help with business issues such as stocking and purchasing. Previously, he spent two years at Xaxis and he also led data science initiatives and developed tools for customer analytics at TeamViewer.

Martin Treder is a seasoned data executive with 25 years’ experience in international cor­porations. During the past decade, Martin has established and led the data management organisations of DHL Express, TNT Express and FedEx Express International. His focus has always been on full coverage of a company’s “data supply chain”, including data gover­nance, data quality and MDM. Having studied to be a mathematician (main subjects: oper­ations research and applied statistics), he has been generating value from data ever since.

Goran Amcoff is a BI process specialist at Nordea, helping develop a new generation of accounting systems and archive tools. His current focus is sourcing and migrating accounting flows from legacy mainframe environment into Hadoop-powered COTS archi­tecture, partly utilising big data components. Before joining Nordea to work as an IT ar­chitect, Goran spent 15 years in IT working as a developer and technical specialist. While primarily working with financial systems, he started his career in computer graphics.

Dr. Satyajit Wattamwar has a PhD in the interdisciplinary field of data science, modeling, control system and chemical engineering. During his PhD, he developed many new algo­rithms that support data-based smart and real-time decision making that allow optimisa­tion of manufacturing processes. He secured a few entrepreneurial grants from the Dutch government for the commercialisation of his research finding as well. After his PhD, Satyajit played a key role in driving the success of data science software and consultancy of General Electric Digital in the early days of analytics for manufacturing. He provided consultancy, trained many non-data scientists to jump on the data science bandwagon and developed dozens of analytics solutions for many Fortune 500 companies with strong manufacturing bases in Europe and the US. In his current data science leadership role at Unilever, Satyajit is driving data science enabled digital transformation of R&D operation of Unilever, sup­porting the needs of its various business units and cross capability functions like process engineering, formulations, packaging, etc.

Jean-Marc David is an expert leader on artificial intelligence for the Renault Group. His main roles are to support all company functions in their use of AI & big data technologies, including the definition of the research and innovation plans, to help identify and build the required internal competencies and to help define strategic partnerships. Jean-Marc is also a member of the cross-functional Alliance team that supports the Renault-Nissan- Mitsubishi VC (a corporate venture capital fund launched in 2018 that plans to invest up to $1 billion to support open innovation over five years). In his previous position at Renault Research, Jean-Marc was in charge of research activities on autonomous vehicles, connected cars and services, and new mobility services. He has also been a Renault rep­resentative on the executive board of the Systematic competitiveness cluster on digital revolution, and president of the Systematic coordination committee on big data & AI during the last two years.

Filip Vitek is a seasoned analytics and data science expert with 15-plus years’ experience from a plethora of different industries (banking, telco, insurance, healthcare, transport, etc.). Since 2017, he has led the data science stream for TeamViewer, one of the German unicorns, where his team analyses behaviour of two billion (!!) users from 252 countries. That’s likely the largest German-based network. Filip is fascinated by exploring and mod­elling human behaviour and feels data science is not just work but a hobby as well. In his blog, www.themightydata.com, Filip tries to evangelise new approaches to data science as well as consult with data analysts on how to make their lives better. He graduated with a double major from Comenius University in Bratislava, and his master’s thesis was dedicated to business decision-making via neural networks.

Simon Stieper is dedicated to the cause of driving business value from data and is respon­sible for the BI products portfolio at Maersk. He is a key player in the digital transformation of the company and in establishing a modern product-based delivery model.