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Lightning Cast: AI – Can you be replaced by a machine?
A Gartner study predicts that 80% of Project Management tasks will be performed by Artificial Intelligence by 2030. Will you lose your job to a machine?
Lightning Casts are shorter episodes, sharing valuable information in 8 minutes or less.
Show Notes
Last year, CIO magazine ran an article with the title How AI Could Revolutionize Project Management. In the article, they describe how automation
can make projects more successful by reducing cost, analyzing risks, making project
work more efficient, and keeping project on time and on budget.
In addition, Gartner published a study earlier this year indicating that 80% of Project Management tasks may be eliminated by 2030. Instead of those tasks being done by Project Managers, Gartner suggests that Artificial Intelligence will perform that work.
This means that Project Management functions such as data
collection, tracking, reporting, forecasting, risk identification, and resource
management may be performed by machines.
Even process improvement initiatives may be better served
through machine learning and Artificial Intelligence.
The problem with machines managing the work is that it
misses the people side; human interaction.
Machines can assign the right resources, but when we see people as
resources or cogs in a machine, we don’t get the benefit of their brains . . .
their creativity . . . their whole
self. Instead, we get a pair of hands
that are told what to do.
Can Machines Elicit Requirements?
For repeatable, “keep the lights on” projects, I could
foresee machines with the ability to product requirements and even future state
diagrams and tech specs.
What about in a future where stakeholders can input what
they want, their “requirements”, and the system spits out working, high quality
code? This isn’t fantasy. There are systems today that can do this to a
small degree, so it’s certainly something we could see in the next 10-20 years.
That process could work for simple or complicated
initiatives, where cause and effect are well understood. But what about complex initiatives where the cause
and effect relationship is only visible in hindsight? Where we need to probe, sense and respond? This is the realm of new product development
and disruptive technology.
Remember that AI needs data from which to learn. But there is little or no past data for most
new product discovery work. I doubt AI
could have come up with the iPad or Netflix streaming video.
If keep the lights on and simple initiatives are eventually
automated, I say that’s good. Then we
can focus on areas that will bring the most value to our customers and to our
organizations. Let’s use our creativity
to shape the future and make our customers awesome.
AI is coming. Will you be replaced?
Thank you for listening to the program
To get more valuable content to enhance your skills and advance your career, you can subscribe on iTunes and other podcatchers.
Also, reviews on iTunes are highly appreciated! I read each review and it helps keep me motivated to continue to bring you valuable content each week.
The post Lightning Cast: AI – Can you be replaced by a machine? appeared first on Mastering Business Analysis.
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By Dave Saboe, CBAP, PMP, CSM | Certified Business Analysis Professional | Agile Coach
4.7
8282 ratings
A Gartner study predicts that 80% of Project Management tasks will be performed by Artificial Intelligence by 2030. Will you lose your job to a machine?
Lightning Casts are shorter episodes, sharing valuable information in 8 minutes or less.
Show Notes
Last year, CIO magazine ran an article with the title How AI Could Revolutionize Project Management. In the article, they describe how automation
can make projects more successful by reducing cost, analyzing risks, making project
work more efficient, and keeping project on time and on budget.
In addition, Gartner published a study earlier this year indicating that 80% of Project Management tasks may be eliminated by 2030. Instead of those tasks being done by Project Managers, Gartner suggests that Artificial Intelligence will perform that work.
This means that Project Management functions such as data
collection, tracking, reporting, forecasting, risk identification, and resource
management may be performed by machines.
Even process improvement initiatives may be better served
through machine learning and Artificial Intelligence.
The problem with machines managing the work is that it
misses the people side; human interaction.
Machines can assign the right resources, but when we see people as
resources or cogs in a machine, we don’t get the benefit of their brains . . .
their creativity . . . their whole
self. Instead, we get a pair of hands
that are told what to do.
Can Machines Elicit Requirements?
For repeatable, “keep the lights on” projects, I could
foresee machines with the ability to product requirements and even future state
diagrams and tech specs.
What about in a future where stakeholders can input what
they want, their “requirements”, and the system spits out working, high quality
code? This isn’t fantasy. There are systems today that can do this to a
small degree, so it’s certainly something we could see in the next 10-20 years.
That process could work for simple or complicated
initiatives, where cause and effect are well understood. But what about complex initiatives where the cause
and effect relationship is only visible in hindsight? Where we need to probe, sense and respond? This is the realm of new product development
and disruptive technology.
Remember that AI needs data from which to learn. But there is little or no past data for most
new product discovery work. I doubt AI
could have come up with the iPad or Netflix streaming video.
If keep the lights on and simple initiatives are eventually
automated, I say that’s good. Then we
can focus on areas that will bring the most value to our customers and to our
organizations. Let’s use our creativity
to shape the future and make our customers awesome.
AI is coming. Will you be replaced?
Thank you for listening to the program
To get more valuable content to enhance your skills and advance your career, you can subscribe on iTunes and other podcatchers.
Also, reviews on iTunes are highly appreciated! I read each review and it helps keep me motivated to continue to bring you valuable content each week.
The post Lightning Cast: AI – Can you be replaced by a machine? appeared first on Mastering Business Analysis.
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