"Machine learning is a method of training artificial intelligence (AI) systems to perform tasks by exposing them to data and allowing them to learn from it. It involves training a model on a dataset and then using the trained model to make predictions or decisions based on new inputs. Machine learning can be supervised, in which the model is trained with labeled data and the desired output is provided, or unsupervised, in which the model is not given any labeled data and must find patterns and relationships in the data on its own.

OpenAI’s ChatGPT has taken the world by storm. Paul and Mike discuss it, as well as Runway, Lensa, CharacterAI, CICERO, and more on this week’s podcast.

Successful business and industry leaders have always known that innovation is a key to success. The world of business has always been shifting and transforming, and entrepreneurs who get stuck in routine and tradition are often left in the dust when they cannot adapt to the new challenges and changing consumer demands. The introduction of artificial intelligence technologies into the world of business and industry, along with the growing importance of e-commerce to our economy, means that the rate of innovation will only continue to increase. Below, we look at three ways in which artificial intelligence technologies, solutions, and software will dramatically change how business is done. As more and more commerce shifts from brick and mortar businesses to online platforms, artificial intelligence solutions will pave the way for companies who are flexible enough to take advantage of these new marketing and business opportunities.

In the world of analytics and computational data, two core concepts divide the medium -- structured and unstructured data. Structured data is quickly and easily organized and searchable using basic algorithms and tools. Unstructured data, on the other hand, is more akin to human language. It doesn't cram neatly into relational databases, nor is it necessarily compatible with algorithmic tools and search functions. In fact, those searches can either be simple, difficult or downright impossible to conduct.

New kinds of robots are helping companies across a wide range of industries support workers, assist shoppers, engage customers, and perform many other tasks. Industry has used robots for decades. They were once confined to safety cages in manufacturing facilities, programmed to perform one task perfectly over and over again. Their purpose was to make high volumes of goods more quickly and cheaply. But advances in technologies are springing robots from their cages, liberating them to work in new roles, in new industries, and with new benefits.

As entrepreneurs, it's our job to evolve and adapt to a changing market. Artificial Intelligence (AI) and machine learning initiatives are creating new opportunities for innovators to offload labor-intensive research and analysis to the cloud. And, to be clear, "the cloud" is just a fancy term for someone else's computer. But, it's exciting to see these networks of computers crunch data and automate the things that used to eat up our time and server space. In today's market, the cloud represents a $130 billion industry.

There's no doubt that AI has usurped big data as the enterprise technology industry's favorite new buzzword. While progress was slow during the first few decades, AI advancement has rapidly accelerated during the last decade. Some people say AI will augment humans and maybe even make us immortal; other pessimistic individuals say AI will lead to conflict and may even automate our society out of jobs. Despite the differences in opinion, the fact is, only a few people can identify what AI really is. Today, we are surrounded by minute forms of AI, like the voice assistants that we all hold in our smart phones, without us knowing or perceiving the efficiency of the service.

Okay, marketers and technology enthusiasts have been talking about the coming of the Internet of Things (IoT) for years. But with products like Google Home and Amazon Echo emerging and gaining popularity, it's reasonable to suspect that 2017 is the year that IoT finally starts taking off. Even though original estimates held that we'd see 50 billion "connected" devices by 2020, revised estimates are still targeting nearly 30 billion, representing an industry worth hundreds of billions of dollars in the near future. So here's the question--is your business ready for the IoT? Even if you don't deal directly with technology, IoT devices are going to have a massive impact on how you do business.

There's no doubt that AI has usurped big data as the enterprise technology industry's favorite new buzzword. While progress was slow during the first few decades, AI advancement has rapidly accelerated during the last decade. Some people say AI will augment humans and maybe even make us immortal; other pessimistic individuals say AI will lead to conflict and may even automate our society out of jobs. Despite the differences in opinion, the fact is, only a few people can identify what AI really is. Today, we are surrounded by minute forms of AI, like the voice assistants that we all hold in our smart phones, without us knowing or perceiving the efficiency of the service.

There's no doubt that AI has usurped big data as the enterprise technology industry's favorite new buzzword. While progress was slow during the first few decades, AI advancement has rapidly accelerated during the last decade. Some people say AI will augment humans and maybe even make us immortal; other pessimistic individuals say AI will lead to conflict and may even automate our society out of jobs. Despite the differences in opinion, the fact is, only a few people can identify what AI really is. Today, we are surrounded by minute forms of AI, like the voice assistants that we all hold in our smart phones, without us knowing or perceiving the efficiency of the service.