Artificial Intelligence and the PMO

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

The Deck

AI:PMO - Threat or Opportunity?

Additional Resources

During the session we mentioned:

Cyril BOT

Apprenticeships

Inside PMO Report

Inside PMO Report Conclusions

Conclusions from the Lunch

  1. Understanding data literacy and data culture are the foundational steps to becoming a more data-driven organisation.
  2. 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.
  3. 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.
  4. The first steps for getting started? Education, education, education.
  5. 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.
  6. To get started with AI technologies the PMO leader has to be curious with curious people working within the PMO too.
  7. Behavioural science and behavioural observations are just as important as data science and project observations. The PMO must be knowledgeable and skilled in both.
  8. Selecting the tools you’ll use is the easy part – upskilling both technically and behaviourally will be harder.
  9. The PMO performs the role of data hunter – data gatherer and data farmer – we’re the custodian of data.
  10. Robotic Process Automation is a easier place to start than data science and analysis.
  11. There are both opportunities and threats to consider with AI technologies yet our PMO Managers see them as a real opportunity for PMOs.

 

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About Lindsay Scott

Lindsay is the founder of PMO Flashmob and a Director at PMO Learning - the sister company to PMO Flashmob and the best training company for PMO people in the world! She's also the creator of London's first dedicated PMO Conference; Director of Arras People and PMO enthusiast. Loves dogs and gin.

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