Just the terms artificial intelligence (AI) and machine learning can cause some confusion as many relate these with robotics. Based upon common knowledge, this is a rational thought, but in actuality, AI and machine learning technologies are being incorporated into numerous software applications and personal assistant tools such as Siri and Alexa. It is important to note that AI and machine learning have some slight differences. Let’s take a look at how Deltek is using these technologies to improve the experience for Deltek Vantagepoint users.
Getting Smart with Artificial Intelligence
Simply stated, AI is the principle that machines can make smart decisions and complete tasks using logical intelligence. In theory, this means that machines using AI exhibit cognitive functions like those performed in human minds. AI works by using algorithms, and in many cases, multiple complex algorithms stacked on top of each other. Typically, these algorithms can learn from data enhancing the ability to make smarter decisions.
The late Larry Tesler, a computer scientist who worked for many major corporations, tried to define AI. His theorem stated that “AI is whatever hasn’t been done yet” meaning that intelligence is ever changing. However, once something becomes common, it transitions to machine learning. Tesler’s theorem is often referred to when discussing the difference between AI and machine learning.
Be Efficient with Machine Learning
So, based on Tesler’s theorem, machine learning is a subcategory of AI and focuses more on the idea that machines are able to learn and adapt through experience. Like AI, machine learning uses algorithms to perform tasks without being programmed to, but it achieves goals by learning and figuring things out over time. In machine learning, the commonly accepted approaches are divided into three categories:
- Reinforcement learning – a computer program navigates a dynamic environment to achieve a goal. For instance, the computer-controlled players on your team when playing a video game.
- Supervised learning – the program is given inputs and desired outputs and then it creates the connections. An example of this is creating models to predict the weather.
- Unsupervised learning – As the name suggests, the program is given no pre-existing labels and left to figure out patterns in the data on its own. This technique is often used in marketing to identify clusters of potential customers.
Do More with Deltek Vantagepoint
Now that the difference between AI and machine learning has been clarified, it should help users better understand these types of computer sciences as used in Vantagepoint. Currently, Deltek is adding AI capabilities to Vantagepoint that will be available in later versions. According to Deltek, AI will be able to analyze data across the project lifecycle. As a result, the AI tool will provide unbiased insights into the health of projects addressing any needed changes to ensure project success.
Deltek has also announced plans for machine learning technology. One effort is to simplify the expense submittal process. Deltek has announced that Vantagepoint’s Time and Expense will have an Intelligent Character Recognition (ICR) capability. The ICR technology will give users the ability to take a picture of a receipt needed to expense and Vantagepoint will be able to recognize characters no matter the font or if it’s handwritten or typed. The machine learning will recognize groups of data like food cost, taxes and tips, and then it will total those numbers.
It’s Time to Embrace AI and Machine Learning
Identifying and clarifying the difference between AI and machine learning is important since you’ll likely be hearing these terms used interchangeably from now on and far into the future. Even more, you’re likely only to benefit as a Deltek Vantagepoint user if Deltek continues to invest and take real advantage of these technologies. If you use apps on your phone like Lyft and Uber on a daily basis, you actually already do benefit from these technologies!