Day One

AI has had a phenomenal impact on the power of intelligent document processing. Far from static OCR tools which need intensive training, today’s self-learning intelligent data processing tools are truly revolutionary. In this session we go beyond the hype and look at how AI-powered IDP can be applied in your enterprise, covering: 

• Best practice for AI-Powered IDP implementation 
• Avoiding hallucinations and maintaining accuracy 
• Governance, control and the right balance of human-in-the-loop 

Processing sick leave for their 20,000+ factory employees used to be an onerous task. Medical certificates were often handwritten and frequently in a language that the GBS employees didn’t understand, leading to mistakes, delays, and employee frustration. However, after developing their own AI-powered document processing solution, Takeda Business Solutions were able to automate this completely. In this presentation, Peter Galik, TBS Global Head of Innovation, Analytics and Automation, talks us through how. 

• Developing and implementing a multi-lingual IDP Solution 
• Understanding the right level of governance and approval to give your IDP tool 
• Change management and getting buy-in from all stakeholders 
• What’s next for IDP at Takeda Business Solutions

Petr Galik

TBS Global Head of Innovation, Analytics and Automation
Takeda

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DHL Global Forwarding have long been market leaders in automation. With over 160 RPA Robots handling the work of over 500 FTEs and a well-established 50% increase in processing efficiency, they are now turning their attention to AI. In this session, Head of DGFF Center of Excellence and Virtual Delivery Center Lead, Vini Kolathur, talks us through their application of IDP in payables and customs, and their use of AI to handle vendor queries, creating significant cost savings and improved customer experience. 

Vini Kolathur

Head of Center of Excellence and Virtual Delivery Center
DHL Global Forwarding

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Dr. Frank Schüler

Managing Director Global Service Center
DHL Global Forwarding

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Over 40,000 purchase orders are created and processed every year, just for indirect materials and services. Frustrated requesters due to the amount of required information to be filled in, overloaded teams on the purchasing departments must perform quality checks on that data and even more frustrated accounts payable teams that are on the receiving end of process and data mistakes. The Automation CoE was able to combine three technologies to automate this process almost fully and aim to increase efficiency, quality, and smoother ordering process, while having a much better employee experience. 

• Developing and implementing a GenAI-powered IDP Solution 
• Leveraging the existing RPA automations 
• Deploying an AI agents framework for orchestration and user interaction 

Vladimiro Ferreira

Head of Automation CoE
SEG Automotive

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SSON Data indicates that many organizations have between 12-18 months to get ROI for their technology implementations, if they’re not seeing a return by this time, funding can be cut, and the project even cancelled. Therefore, getting results quickly is essential. One way of accelerating implementation is via low-code or no-code IDP solutions which are often integration ready and easy for non-IT folk to use. But what are the downsides? In this session we examine the pros and cons: 

• Security, compliance and control measures for low-code IDP 
• Scalability: How scalable are low/no-code IDP solutions? 
• Costs, workflows and customizations: What is possible? 
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