The 2019 Procurecon Report
The latest research from Procurecon provides interesting insights into the decision making process of procurement leaders across Europe.
Hype Cycle for Procurement and Sourcing Solutions, 2018
Make better decisions by understanding the technology landscape of modern e-procurement and sourcing solutions. Read the report by Gartner: Hype Cycle for Procurement and Sourcing
Microsoft & OpusCapita: Becoming A Digital Business - How To Succeed!
on demandThe majority of business fail to achieve their digitalization ambitions and this has a major impact on the organization’s ability to support growth and performance objectives.
Machine Learning in the daily Cash Management work
on demandSee for yourself how Machine Learning can help your company reduce the risk of payment fraud with advanced anomaly detection.
E-invoicing trends and standards - with Bruno Koch
on demandIn this webinar we will have a conversation with Bruno Koch of Billentis. Join to hear the latest e-invoicing trends and be prepared for the future.
A CEO perspective on the post-invoice economy
on demandIn this webinar we will take on the perspective of a CEO on this paradigm shift that is leading us towards the post-invoice economy.
Cash Agile - the new paradigm and the future of Source-to-Pay
In this whitepaper, we outline the story of Cash Agile, the new way of thinking and staying competitive in the post-invoice economy. Gain insight into the future of source-to-pay!
The new paradigm for B2B commerce
on demandThe new paradigm is the new perspective that must be adopted by business leaders in order to remain competitive.
ProcureCon 2017 Europe Survey: Digitalization transforms procurement
Procurement in European companies is maturing rapidly. How do procurement executives see the challenges that the digital transformation imposes to organizations?
Machine Learning and Artificial Intelligence in Finance in a broad perspective
How can Machine Learning help you detect fraud attempts, forecast cash flows, or speed up purchase invoice posting? 3 real-life use cases of utilizing Machine Learning in Finance.
How to apply Machine Learning and AI in extended Purchase-to-Pay?
Detecting anomalies, categorizing spend, forecasting sales… There are many ways to take advantage of machine learning in the different parts of the extended purchase-to-pay.
How does Machine Learning look from the end user perspective?
Machine Learning algorithm can suggest correct posting dimensions for supplier invoices 95% of the time. Is it enough for the end users in AP department to trust it?