Building the Future with AI

Will Artificial Intelligence bring us closer to a Utopian society where our lives are improved by this powerful technology? Or will it cause us to become nothing more than puppets being controlled by major tech companies? In this episode, we'll present two scenarios for the future of AI: Utopian vs. Dystopian.

In this episode, we'll be discussing four industries that have been revolutionized by Artificial Intelligence (AI). Specifically, we'll be discussing the impact of Artificial Intelligence in the communication, transportation, healthcare, and technology industries.

Have you ever wondered what makes an Artificial Intelligence model bias? In this episode we'll break down what both developer and data bias and then talk about how we can reduce it to create better (and more accurate) AI models.

In this episode, we're going to be discussing how Artificial Intelligence (AI) is being using in the fight against Covid-19, and in healthcare in general. Specifically, we'll discuss how the AI can take massive amounts of data, analyze it, and create accurate predictions. You won't want to miss a minute of this fast paced episode!

In this special episode of Building the Future with AI, we answer five of the most common AI related questions:

1. What are the biggest ways that AI will influence businesses over the next 5 years?
2. In what industries is AI rapidly being used?
3. Will AI create or eliminate jobs over time?
4. Are there any fields that AI can't revolutionize within the next decade?
5. What is the greatest obstacle in developing AI systems today?

Tune in for answers to these questions and more as we launch season 2 of Building the Future with AI!

In this episode of Building the Future with AI, presented by Visionary Communications, we will discuss whether or not an AI can actually reach the same level of intelligence that humans process.

We'll review some limitations an AI may have when compared to a human, such as lacking natural reflexes. In addition, we'll look at the fundamentals an AI needs to match human intelligence: The ability to remember things (both short and long term), cognitive abilities (the ability to think and understand), the ability to be creative, and the ability to learn.

In this episode of Building the Future with AI, presented by Visionary Communications, we will discuss how various AI related technologies work together.

Specifically, we'll discuss what Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) work together to build complex neural networks. In addition, we'll discuss how Natural Language Processing (NLP) and Natural Language Understanding (NLU) work. If you're interested in Artificial Intelligence, having knowledge of these related technologies is critical!

In this episode of Building the Future with AI, presented by Visionary Communications, we will answer the question: Can Artificial Intelligence (AI) be Creative?

An AI can automate repetitive tasks, and recognize patterns in data, but can it really be creative? An AI must always respond within the parameters that it was programmed with, but an AI can create unique outputs with little to no human input. We'll discuss how an AI can help in reducing the time creative tasks require, how creativity is defined, and how it limited by parameters.

In this episode of Building the Future with AI, presented by Visionary Communications, we will discuss what artificial intelligence (AI) is.

A lot of people have heard of artificial intelligence in the past, but can you explain what is is or how it works? Artificial intelligence is a technology that is used in thousands of applications, but what is it? In this podcast episode, we'll look at what artificial intelligence is, how it works, and how some of the applications you are likely already using leverage AI.

In this episode of Building the Future with AI, presented by Visionary Communications, we will discuss what machine learning is.

We'll take a look at how machine learning (ML) can improve Artificial Intelligence (AI) technologies and help save time organizing and classifying data. After building a successful AI system, the next step is to improve it through the use of machine learning.