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AI and AI tools - how to make your business more efficient

Updated: May 6

The development of artificial intelligence is continuously growing and simultaneously revolutionizing industries. With the quick advancements in AI tools, come different opinions on the subject. Some people believe AI is scary and confusing while others think it's interesting and helpful. Even though the topic is a conflict of opinion, we all can agree that AI tools are inevitable and a considerable part of our future! 

I'll take a look at different types and models of AI, explore the importance of applying it to your digital marketing, and assist in navigating through the AI tools available. 👇

AI

AI through history

During the past couple of years, artificial intelligence (AI) has been a topic on everyone's mind. AI can briefly be described as machines programmed to think and problem-solve like humans. It includes technologies like machine learning and speech recognition, allowing machines to understand language, recognize patterns, and make decisions. Although the AI boom did not start until 2022, artificial intelligence technology has actually been in existence for quite some time. One example of early AI is Deep Blue, the first computer chess-playing system to defeat a reigning world champion in 1997. Another example is the world's first full-scale "intelligent" humanoid robot which was completed by Japanese engineers at Waseda University as early as 1972. Another more recent example is when Apple introduced the concept of conversational AI to a wide audience by launching the virtual assistant Siri in 2011.


The main types and models of AI technology

When talking about AI today, we often mention two main types: Generative AI (GenAI) and Artificial General Intelligence (AGI). GenAI refers to artificial intelligence systems that are specialized in a narrow domain or task, such as image recognition or natural language processing. GenAI is more limited in its capabilities while AGI is a more advanced form of AI. AGI can learn, adapt, and apply knowledge across a wide range of tasks similar to human intelligence. AGI has the potential to independently make decisions and solve problems in a way that mimics human intelligence. In other words, GenAI represents the practical approach to AI while AGI portrays the goal of AI research. One famous example of GenAI is OpenAI’s GPT-3, however, there isn't a widely recognized or commercially available example of an AGI tool yet. The definition of AGI is a conflict of opinion. Depending on who you ask, some say we already have AGIs, some say we'll never get them, and others believe they are weeks to decades away.


AI technology is often categorized into two models, Large Language Models (LLM) and Large Action Models (LAM). LLMs are AI specialized to understand and generate human language, while LAMs are designed to understand, predict, and generate actions based on a given input. Accordingly, LLM is used for text generation, translation, and sentiment analysis, while LAM is used for game strategies, autonomous vehicles, and robotics.


No wonder many experience the field of AI confusing!


The rise of AI in digital marketing

With the continuous development of AI tools, a new era has begun in the digital marketing sector. AI tools are used in several areas of Digital marketing. From analyzing numbers and predicting customer behavior to creating new pictures and generating text. By using these tools, companies will increase their effectiveness and in addition, save both time and money. With the rapid advancements of AI in digital marketing comes a big potential for companies to develop their marketing strategy. At the same time, applying the usage of AI tools is necessary to stay relevant and keep up with your competitors.


Navigating the jungle of AI tools

With the quick advancements in AI tools comes a huge selection of different tools from different companies. Finding the best AI tools with the best fit can therefore be a jungle. Simultaneously, many individuals and businesses lack the time or energy to explore and test various tools.


With this in mind, I decided to execute my own research and testing to find the most relevant tools for us at Pimm and at the same time share our findings with you. Sharing is caring! In the upcoming posts, I will present and review tools used for text-, graphic design, and data processing as well as AI efficiency. My goal with this concept is to save you time and increase your efficiency, both by eliminating the need for personal research and by applying these tools to your business.


 

Stay tuned for the next post when we take a look at our first topic: AI tools used for text processing!

Can't wait to talk AI?




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