Each year we produce a new Inside PMO Report. The aim is to tackle themes that are tricky or a challenge for the PMO (see previous reports here).
With the latest report, we choose a theme which is perhaps not a challenge for PMOs – mainly because it doesn’t appear on the critical to-do pile. . . . Yet!
Artificial intelligence is one of those subject areas that are easy to dismiss as a pipedream – or something that is way out there in the ‘future’.
Yet, some PMOs are already starting to experiment with the possibilities that AI – and the many different associated technologies – can bring.
If you’re unsure if artificial intelligence is something that applies to your PMO, let us rephrase it.
Artificial intelligence is all about data – and if there is one thing that the PMO works a lot with, it’s the reporting of data.
In our latest Inside PMO Report (available to download here) we start at the beginning and answer the fundamental questions:
- What problems are we trying to solve with AI?
- How do we get started with AI?
- What pitfalls do we need to be aware of?
- How does this change the PMO role?
- What AI technologies should we be interested in?
- Are these AI technologies a threat or an opportunity for the PMO?
Get started with your AI understanding and journey with PMO Flashmob’s latest webinar on the subject:
The Video Session
During the session we mentioned:
Inside PMO Report Conclusions
Conclusions from the Lunch
- Understanding data literacy and data culture are the foundational steps to becoming a more data-driven organisation.
- You have to spend as much time on building a data culture as you do with the technologies you will be using and the PMO can support the building of data literacy, one of the building blocks for a data culture in the project management organisation.
- The five drivers for the PMO and the delivery function to become more data-driven is increased productivity and predictability with data; improved consistency and certainty in the information and insights created and repeatability in the steps and processes taken.
- The first steps for getting started? Education, education, education.
- The PMO provides the role of data translator – working in the area between the technology and data specialist and the senior executives. We translate the data produced into actionable information and insights that executives can make decisions on.
- To get started with AI technologies the PMO leader has to be curious with curious people working within the PMO too.
- Behavioural science and behavioural observations are just as important as data science and project observations. The PMO must be knowledgeable and skilled in both.
- Selecting the tools you’ll use is the easy part – upskilling both technically and behaviourally will be harder.
- The PMO performs the role of data hunter – data gatherer and data farmer – we’re the custodian of data.
- Robotic Process Automation is a easier place to start than data science and analysis.
- There are both opportunities and threats to consider with AI technologies yet our PMO Managers see them as a real opportunity for PMOs.