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Why You Don't Need AI for Project Management

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Why You Don't Need AI for Project Management

A lot of applications that use deep learning, artificial intelligence, and even big data are still in their infancy. It's too soon to completely rely on them for project management when there are perfectly capable human minds to do the job.

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Should you jump on the AI bandwagon? Not necessarily.

A recent MIT/Sloan survey of senior corporate executives showed they see artificial intelligence (AI) as the single most disruptive new technology, and nearly 70 percent said they already have AI investments underway.

Looking at these results, you might feel insecure. You might worry that you're falling behind and that your business will lose its competitive edge if you don't get with the program (literally). And it's tempting to march into your CEO's office and demand approval for an AI strategy now. You might want to sleep on that, though, because in the project management domain, the timing might not be quite right.

We Don't Have It All Figured Out Just Yet

As we talked about here last year, AI has made interesting strides in the last few years, particularly with respect to deep learning. To refresh your memory, deep learning involves training computers to recognize patterns in data and then classify and categorize them as a human brain could do instantaneously. This is cool, to be sure, but in the enterprise, a lot of deep learning applications are still in their infancy. They have yet to solve specific business problems or notably increase bottom-line profitability.

One common problem is that most organizations still haven't mastered big data and basic data analytics. While they've started collecting data, in many cases that data is just sitting around. And this data can't necessarily be used for AI if it's not in the right format and cleaned appropriately. So, before being able to realize the true potential of AI, you'll need to first plan exactly how you intend to analyze the data you have and put it to use in the service of insightful business decisions.

AI Is Tougher Than It Sounds

According to Brandon Allgood at Forbes, the complexity of AI is another reason to put off an implementation.

"As the CTO of a company with a foundation in AI, trust me when I tell you that it's harder to implement than you might think," he wrote. "AI and machine learning are not commonplace today because we still lack a few essential building blocks, like a robust software infrastructure around core algorithms, or the interfaces to easily make use of those algorithms."

In an article for Fortune.com based on the recent Brainstorm Tech event, panelists discussed the use of AI in small-to-medium sized businesses.

"It probably makes no sense to dedicate limited resources to hire an AI expert, even if there were one available," they concluded. "Maybe every industry needs an AI strategy, but not every business," said George Kurtz, CEO of CrowdStrike, a cybersecurity specialist.

Norman Winarski, founder of Winarski Ventures, adds:

"AI is just beginning, so having a strategy around it is a problem because you have to define what you're talking about. You have to be incredibly careful in how you deploy an AI solution, you need to think about how people will react, and it takes a lot of resources."

What You Can Do Instead

The reason AI is so popular now is that it promises greater automation. But the truth is, you can have automation that will streamline manual work and improve your business processes without the complexity and financial investment AI requires. There are a variety of simpler solutions that bring people and processes together within a secure, integrated work space in the cloud.

For project management, in particular, such tools enable better collaboration, data sharing, and overall agility. And best of all, you can continue to do what human PMs do best: Setting the essential criteria, integrating projects and project components, and winning over and engaging stakeholders!

How do you think AI will impact project management?

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ai ,project management ,deep learning ,machine learning

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