Chances are you aren’t an AI pro. Luckily, you don’t have to be – you’ve got in your back pocket.

We’re here to help answer your burning questions about artificial intelligence. AI is constantly changing. It’s difficult to keep up, especially with so much information (and mis-information!) to sift through.

What is artificial intelligence?

In short, artificial intelligence is intelligence that is created with machines. Simple right? To take this a step further, AI also learns from any data it has access to in order to improve its data scope and generate better predictions. That sounds very Bicentennial Man, but I promise you it’s not; at least not for us (and if you haven’t seen that movie, I highly suggest you do, grossly underrated).

You’ve probably interacted with various types of AI without realizing it. Chats on many of your favorite websites are often conducted by machine-learning “bots” that follow a list of prescribed commands. This is meant to find a solution or an answer for a customer in way that feels “human” without needing a human available 24/7 (this is a type of AI that parses words, which is a different type of AI than what we offer). There are also a variety of ways AI can be implemented to make our lives easier (such as sorting grocery delivery orders or fine tuning paid marketing efforts).

Speaking of which, how can we improve the efficiency of large industry-based companies? Through Enterprise AI®.

What is Enterprise AI®?

Enterprise AI is a machine learning and data science system integrated into the heart of an organization. It increases efficiency, cuts costs, increases revenue, optimizes supply chain management, does data analysis, predicts ways to reduce waste… the list of AI possibilities goes on. Our AIaaS (AI as a Service) applications use machine learning plus complex data sources (both internal and external) to constantly improve.

What is AI used for?

AI is used for a variety of things: response to customer inquiries, planning, organization of data, assessing spending trends in an organization, increasing efficiencies, reducing costs, eliminating excessive asset downtime, improving fleet health, adding predictive elements to your supply chain and your manufacturing process, predicting demand, and so much more.

Why do we need AI?

Times, they are a changin’” We need AI because our global population is growing and expanding; we need to not only accommodate and predict a growing demand for resources but also eliminate waste and create the kind of radical efficiency that keeps the planet habitable and businesses sustainable for the long haul.

What are the benefits of artificial intelligence?

AI can predict, learn, and adapt continually. In fact, the more data it has access to the more insights it can provide for us to live, make, move, and sell more efficiently and with less waste (wasted time, wasted money, wasted resources). It’s important to know that AI would not be possible without the innovative minds behind building the programs (like our teams of amazing data scientists, engineers, and product folks). AI takes a great deal of trial, error, knowledge, curiosity, and patience.

What is machine learning?

Machine learning is essentially studying algorithms and statistical models scientifically. Machine learning looks beyond confining rules and explicit instructions to allow machines to perform tasks using models and inference instead. That looks like a word salad, right? Machine learning basically means that the more data collected in a system, the more predictions and value-based input can be produced.

So, what does all of this mean to you?

Perhaps you’re in a leadership role at your company, someone who wants to learn more about AI or Enterprise AI®, or a prospective candidate. Whatever the case may be, we are dedicated to our not-so-secret-plan to save the planet by creating a world without waste. We’ll keep providing information to answer many of these questions within our field on the blog, also. Unless, of course, you’re looking for the answer to life, the universe, and everything… (that answer is 42). This post barely scrapes the surface of what AI can do for you and your business, but those secrets we can’t just give away.

Do you have a mind for data? Join our fantastic team!

Tune in later this month for a post about AI and Machine Learning Frameworks – we’ll link it here once it’s live!

Image credit Joshua Sortino on Unsplash

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