Unless you live under a rock, you’ve probably heard the chatter about artificial intelligence (AI) and its benefits and implications. This new era of tech is the biggest innovation since the birth of the personal computer in the 1970s and the smartphone in the early 2000s. Although many wonder about the possibilities of AI in the decades to come, we are still a long way off from catching a ride in a flying Uber and being able to record our dreams. For now, in 2023, we are still in the early days of AI, but with all the opportunities new technology provides to make life easier, here are a few answers to help you gain some insight into the new wave of technology that’s headed to shore.
“AI will have a more significant impact than fire or electricity.”
- Google CEO, Sundar Pichai
AI has been around since the 1950s when it was defined as a machine's ability to perform a task that would've previously required human intelligence. But it’s come a long way since then. Today when you hear the term ‘artificial intelligence’ it’s likely that chatbots and self-driving cars probably come to mind. But Artificial Intelligence is so much more than that. AI is the training of computers to mirror human intelligence by analyzing large quantities of data. AI allows machines to learn from experience by being adaptable to new information.
Artificial Intelligence detects patterns from vast collections of databases, to make intuitive predictions. These predictions allow the systems to perform tasks that normally require human intelligence. AI isn’t made up of just one algorithm. AI manipulates and develops algorithms by adjusting to new behavior patterns. This creates fine-tuned algorithms that can adjust as they absorb more data. For example, recommending shows you might like on Netflix or finishing your sentences for you in iMessage.
AI’s three main categories are separated by the level of capability and complexity they have.
The 2023 boom of AI breakthroughs is kudos for advancements in machine learning. Machine learning automates tasks by training computers to perform based on examples. Previously, AI models relied explicitly on human programming, whereas machine learning teaches the models to make predictions. The roots of machine learning emerged in the 1940s when researchers began exploring the concept of artificial neural networks. Early work on machine learning focused on developing algorithms and models that could mimic human learning processes. In the 1950s, the development of the perceptron model marked the first big milestone in machine learning. The perceptron was able to learn basic patterns and became the foundation for later breakthroughs in the field. The birth of the internet and the rapid influx of data in the late 20th century set the stage for machine learning to shine.
Deep learning has made machine learning much more powerful because it trains artificial neural networks with three or more layers to execute different tasks. These neural networks are huge webs with deep layers that analyze enormous amounts of data. This technology can recognize complex patterns because of the volume of data it has been exposed to. Deep learning is often implemented in natural language processing and speech and image recognition software. Examples of deep learning include anything from virtual assistants to face recognition to personalized shopping recommendations or ads that are influenced by your previous purchases or engagements.
The success of deep learning and machine learning both rely on artificial neural networks. Artificial neural networks are loosely based on the connection of neurons in our brains. These models mimic how the human brain’s neurons signal each other. In both scenarios, neurons work as a team, each neuron is responsible for the recognition of a unique element.
AI plays a big role in the behind-the-scenes work, making predictions by using your device’s neural network to help you take better photos, identify the song playing, and translate in real-time – and that’s just the basics. This concept is referred to as on-device AI. Considering all of the unique features Snapchat offers, all of these innovative tech developments, like lenses, speed, assessing your surroundings, and most recently even the new Chatbot, are improving mobile experiences through AI.
AI opens millions of new doors that have been locked - with only a few holding the keys - until now. The benefits of AI touch every inch of society. The industry is evolving rapidly, offering new possibilities across industries and sectors.
AI can act as a great tool, but, as you might’ve heard, there are also risks and ethical concerns associated with it. Addressing these risks and ethical concerns requires collaboration, transparency, and ongoing research and development in AI ethics. It is crucial to ensure that AI promotes and benefits society as a whole.
AI provides the most seamless way to enhance experiences, offer personalized offerings, and automate tasks. This allows you to make decisions based on data collection, data analysis, and additional trends that may impact your efforts. Concepts like machine learning help gather information so you can nurture leads, leverage customer data and anticipate your customer's next move while improving their journey.
AI can master systematic tasks and free up our time for more high-level thinking jobs. AI is a pro at quantitative analysis, optimization, and routines, but needs help to strategize or create original ideas. Humans have the drive to solve problems creatively, whereas AI produces results based on algorithms only. AI provides the content, whereas humans provide the context. The key is to use technology to empower your work and achieve higher levels of success.