Martin Treder, Managing Director of Data Management FedEx, The Netherlandsartelligence
Team Artelligence: How do you think the AI will change the means of business operations in 5 years duration?
Martin Treder: a) RPA (Robotic Process Automation) will become a commodity, with more and more “intelligent” processes becoming automatable. Countries with high labour cost will lead this development.
b) More and more centuries-old algorithms will become usable for AI. Theoretical maths can be used to gain immediate value, as memory constraints disappear, more data is available and can be processed in more flexible ways.
Team Artelligence: According to you which sectors will gain prominence with its application and implementation of AI and why?
Martin Treder: Mid-term, I see most significant AI successes where strong solution providers serve multiple sectors with their functional solutions. This is a matter of economies of scale. Examples: I expect successful out-of-the-box AI solutions on top of SaaS like SalesForce in Sales or Workday in HR.
Team Artelligence: What do you think are the crucial challenges in implementation of automation and AI across organizations?
Martin Treder: a) Getting the right data, in good quality. If the underlying data is wrong or ambiguous, AI results are misleading. This requires close collaboration with business functions. AI in an ivory tower will not create valuable results.
b) Smaller companies may not have the means to attract AI experts. They will depend on 3rd party AI solutions and algorithms which they will often not understand from the inside.
Team Artelligence: How is the role of Government involved in the development to AI in terms of policies?
Martin Treder: Government will increasingly restrict the usage of personal data. Companies will have to focus more on using anonymised data for AI.
How do you think the participants will benefit by attending the Artelligence 2019 event?
Martin Treder: a) Learning use cases and experience from other companies
b) Becoming aware of opportunities and risks around AI