How can ERP professionals develop the skills and competencies needed for AI-enabled ERP?

Privacy by design has to be integrated at the earliest stage of any AI development; ERP systems are a treasure trove of personal and sensitive financial data that need protecting at the highest level.

AI enabled visual inspections have identified defects and increased quality. The models can be trained on what certain defects tends to look like and identify based on a visual scan.

As major ERP players release their product roadmaps and AI strategies, we're seeing some fascinating AI use cases emerge. These range from advanced automation to enhanced analytics, and touch on areas like sales, finance, and operations. For ERP consultants, this means it's time to evolve and ramp up our skills to stay ahead. Take SAP, for instance. For consultants ready to dive into this 'new world' of AI, there are plenty of resources available. The SAP Community Portal and SAP Learning Portal have updated learning journeys, with a variety or resources. For SAP AI projects consultants need a mix of technical skills in machine learning and data science, combined with solid business know-how and ERP experience.

The true foundation of AI and machine learning is mathematics and statistics. A fundamental understanding of the mathematical concepts that these models utilize will allow one to understand the benefits and limitations of each different type of model available as well as how to explain them to end users. However, a model is only as good as the data going into it and if garbage data is run through a model then the end result will be a garbage outcome. Proper care to clean and use a wide variety of data sources while eliminating multicollinearity and variance inflation will help increase model efficiency and accuracy.

Understand AI Fundamentals: Start by gaining a foundational understanding of artificial intelligence, machine learning, and deep learning concepts. This includes how AI algorithms work, their applications, and their potential impact on ERP systems. Stay Informed: Keep up to date with the latest trends, research, and developments in AI and ERP. Subscribe to AI and ERP-related newsletters, blogs, and attend webinars, conferences, and workshops to stay informed about industry advancements. Enroll in online courses and certification programs related to AI and machine learning. Websites like Coursera, edX, and LinkedIn Learning offer courses on AI and ERP integration.

Estive no ERP summit e pude apresentar o IA acoplado no ERP benner. Em diversos pontos do sistema foi acoplado o IA a grande estrela foi IA no planejamento estratégico gerando vários insight para melhorar o atendimento dos objetivos estratégico da empresa.

é preciso pensar fora da caixinha para poder explorar o IA dentro do ERP. Conseguimos aplicar IA em rotinas simples porém gerando valor aos nossos clientes, tornando a análise e proposta de solu??o alinhada ao negócio dos nossos clientes.

Profissionais de ERP tanto na área comercial quanto de produtos que se apresentem interessados devem focar em aprendizado contínuo em áreas como ciência de dados, machine learning, automa??o de processos e análise de dados. Participar de cursos, workshops e treinamentos específicos em IA para ERP também s?o essenciais. Além disso, colaborar com equipes multidisciplinares e buscar projetos práticos de implementa??o de IA nos ERP podem ser muito úteis para desenvolver habilidades práticas.

AI must be configurable by end users (aka business process owners). Critical part of this configuration is the capability to define validations in process decisio points, e.g. if service A is selected, enter materials needed, if quantity to be used is X Pcs, use equipment B, else equipment A. Automations are not merely focused on handling repeated steps but also decision forks.

It is early for me on my AI journey and I see many possible areas for efficiencies. Due to the immense volume of data, I have an interest in utilizing AI services for some types of security monitoring. Fraud detection is another interesting area that I see AI having potential for delivering actionable results. However, before I can fully embrace these and other kinds of AI service, I plan on learning as much about the fundamentals possible.

I see opportunities utilizing AI in the process improvement area (especially sig sigma initiatives) - AI can help optimize WMS, SCM, Manufacturing, Finance, and HR processes (Ex: employee retention area). Another major area is BI and prediction based on data patterns ( It could be a combination and machine learning, AI, and Data Science). In the day end, change management would be an important element in applying these technologies. Workday and Infor have already started working in some of the areas.