The productivity and project management markets are thriving and are evolving in exciting new ways. I want to know the future of artificial intelligence in project management, so I connect with the founders, productivity experts and futurists working in this field every day to predict the next 5 and 10 years. Their answers are very instructive.
Use AI for decision support, not for decision making.
The inventor of the matter, David Allen, believes: “The system has been improved by providing relevant data to optimize the experience in each case, at the right time, in the right place. Productivity System Should be seen as a support system for the decision-making process.”
Therefore, we will enhance our ability to make decisions in all situations, rather than using AI to eliminate and automate decisions. I think this is the next possible step in artificial intelligence. Most people don’t trust computers to make decisions, but they look for information to help them make decisions.
I will make a decision for you. It doesn’t work. I can support your decision, but we still make the decision.”
It is not a robot. . .
When most people think of AI, whether it’s Jetson Rosie or Ford’s assembly line robots, they think that the robot is doing manual work to get the job done for me. My view is that this view is too strict. Of course, the robot will be smart, but all other robots are the same. The team behind the online video series “in short” has released a great tutorial video about the video.
Currently, applications that can identify your motivation level and provide you with tasks that match that level are not a problem. There are already some robots that can answer simple service questions and learn from them, and are working hard to achieve some success and some major failures.
Smartsheet CEO Mark Mader believes that it is pointless to think of AI as a mobile robot. “More closely, automation will increase. Machine learning can predict what workers will do and make it easier. How? The information needed to complete the task is automatically collected, filled out and shared with the right people.”
Show a combination of the two.
Especially in project management, machines can use real-time data to predict changes and make changes accordingly. The key is the combination of robotics and machine learning. Consider an assembly line system that pushes the barbecue equipment out.
The system predicts that demand will increase due to the upcoming holiday and that the production robot can be automatically informed of the increase in production. I don’t know if there are artificiadecisions between them, but as you get used to machine decisions, you have more control over the process.
This is my decision.
Artificial intelligence is not human but superhuman. As I pointed out, I released a machine learning robot, but the results were terrible. Machines are still not good at understanding context and irony, so when we let them learn, they usually miss points.
But so far, using machine support decisions seems to be the only way. As a form of decision support, productivity expert Carl Pullein said: “Machine learning and artificial intelligence arrange meetings and tasks for you and do what you do. It will move toward creating productivity tools that you know.” Context, where are you, what you need to do. ”
that support machine learning like Grammarly are already on the market, but as these decision supporters become more visible, they are moving into more complex areas. Think of it as a Facebook timeline algorithm or a spam filter. However, it is a “to do” list.
As with education, access is the key to machine learning.
In order to understand our current location, consider a system that is always running and learning. The computer browser communicates with Google, Facebook and many companies.
It saves clicks, purchases and other operations. Due to the latest trends in the Internet of Things, these things have become part of everyday life, not computers and mobile phones. Accessing data. A smart refrigerator can tell the local supermarket how much water to drink per week. If everyone in the area has a smart refrigerator, then the same supermarket.