Insights from our Intelligent Automation roundtable v.2
DataSeries < > UiPath|VRT06052
In May, DataSeries, an OpenOcean led initiative hosted their second Virtual Roundtable together with UiPath about the “Rise of Intelligent Automation”. The session was moderated by Guy Kirkwood, Chief Evangelist UiPath.
See the summary of highlights from our first Intelligent Automation roundtable here.
INSIGHTS GATHERED:
- 10 years ago many organizations would have said that there isn’t enough tech available for solving certain problems. We have arrived at a paradigm shift where there is too much tech available, but with a serious lack of market education. Apart from creating automation tools, there is a big need in educating organizations and guiding them on how to implement the right solution
- Organizations should be thinking ahead in terms of “automation-implementation” in order to understand where to start and to define the right sources that are needed
Automation will be driven by “angry young people,” who expect computers and software to make their lives easier, not more complex. Booking events, calls, sending emails, managing contacts, tasks, processes, and more should be easily automatable; young people expect companies to be set up for this — and they will have to be, to hire the best
Joona has given an example on how he sees this in his son who is used to certain tasks being automated in Fortnite (videogame) and expects him to believe that this is a defacto in reality too
- Introducing process mining is easy, introducing process automation is easy, but changing people’s behaviors so that they work well with these technologies is by far the hardest part of digital transformation
- The biggest challenge is always ‘change-management’: How do employees become more enthusiastic about working with bots, even though they want their automated outcomes, they typically aren’t willing to put in the effort to learn how to use them
- Democratization may be a core development here that allows the workforce to use automation tools to a) become more productive and b) resolve new problems
- Automation and hyper-automation will change the nature of human resource management; all of the layoffs we see with covid are “gut instinct” layoffs, and not at all data-driven. If most enterprises had automation solutions in place across their business today, they could downsize and cost-save in a much more efficient and accurate way. Today, this is strictly limited to advanced, forward-thinking technical companies (and even many of these companies are so far behind in their IT infrastructure to be able to implement these technologies and get any value from them.
- That’s why today basic RPA is the only successful automation technology out in the market. Companies need to get much better about how they manage their data and implement automation tools in the IT stack if they want to be able to maximize the value of automation
- Participants were excited about low-code, but ultimately skeptical that the uptake would be there without giving it enough flexibility and keeping it (almost entirely) no code
- Ericsson has got a high demand for low-code but is not capable of fulfilling the demand...
- There are only a few companies out there that are able to work in a highly complex environment and manage “reality”
- How do we create transparency in what is really happening to ensure we make the right decisions. Fact-based decision making on the full scope rather than just one source, which currently seems to be the most common current approach.
