Intelligent Automation Week is upon us, and this year, due to the effects of the global pandemic, the event is fully digital. It’s a compelling opportunity for practitioners, providers, analysts, students, and others to see and share the latest and greatest in what’s happening in the world of automation.
This year, Auditoria is pleased to be one of the sponsors of the event. As one of the pioneers in Hyperautomation for ERP and Finance, we are actively innovating in Machine Learning, Natural Language Processing, and Deep Neural Networks to deliver the industry’s most comprehensive cognitive automation platform – one that automates tasks, analytics, and interactive responses in a simple SaaS service. Given our focus on AI/ML/NLP, I’m pleased to host a panel discussion during which we will discuss considerations, best practices, and lessons learned in “Leveraging Machine Learning to Transform Data into Actionable Insights”.
Joining me in this panel are two industry leaders, Susheel Nesargi, Head of Intelligent Automation from Fidelity FIS Global, and Stefan Rank, Director of Global Innovation from DHL. Both Susheel and Stefan have a long and cherished history in Automation. I’m excited to have them share some of their key learnings in this session.
We have several interesting topics to discuss. We’ll talk about using Machine Learning to drive Intelligent Automation. Specifically, we will delve into the key learnings and analytical outcomes the panelists have seen from their efforts. We’ll talk about using Machine Learning to drive algorithmic analytical forecasting—including cash flow forecasting, remittance or payment forecasting, and forecasting payment defaults.
It’s going to be a solid week, and this panel is just one of several sessions lined up during the week. Best of all, the event is digital, and registration is entirely free. Click here to join me and hear from Auditoria’s key industry executives about how they’re achieving their Intelligent Automation objectives, and what new frontiers they’re looking to conquer next.