The early 2020s are a challenging time for computing. A series of concerning trends have come together in this “blink of the computer’s eye” moment to create a perfect storm of opportunity and peril. These trends are already starting to unfold, with some manifesting themselves already, while others will most likely manifest themselves in the 2020s.
You already know which ones you are, and we’ll begin with those not-so-surprising predictions: Artificial Intelligence (AI) is going to hit its stride by the early 2020s, becoming a much more prevalent part of our daily lives. This article covers five ways AI is already changing business in the early 2020s.
AI is already changing business
Artificial intelligence has been a part of business for some time now. It has been used to help businesses make more informed business decisions, and it has been used to train algorithms to improve their performance. But in the past couple of years, AI has begun to be used more to support business processes, rather than replacing them.
Machine learning, which can be used to train AI algorithms to perform tasks, is still in its infancy. Although companies are making progress, there is still a long way to go before we see AI in action in our daily lives. We won’t see it until the early 2020s at the earliest, if then.
AI will be a more prevalent part of our daily lives
In the last decade or so, the use of AI in business and government has grown at an exponential rate. Although it started out with a bang, and then a steady roar, it has grown remarkably ever since. It is now firmly entrenched in our daily lives. The transformation has begun, and it is likely to continue for the next few years.
By the early 2020s, AI is expected to be a much more common part of our daily lives. AI is becoming more common in both business and government. It has become so common that it has become an accepted and expected part of our daily lives. It is now embedded in existing business processes, rather than replacing them.
Businesses are using AI to analyze data to make more informed business decisions, and government agencies are using AI to help with tasks such as identifying threats and planning for the future. AI has also been adopted in industries where it didn’t used to be. Whether it’s sports betting that uses data to predict outcomes, or stock analysis that makes investing in certain companies a sure-fire way to success, AI is finding new uses every day.
Data-driven business analytics will become commonplace
Business analytics has long been associated with data-driven decision-making. But until recently, most companies didn’t have the data to make informed business decisions. That is, until now. Businesses are now learning how to collect and analyze data with AI to get a more complete picture of their customers. Businesses are now real-time mapping their data to understand customer needs and expectations. By the early 2020s, data-driven business decision-making is expected to become common place.
Businesses are now using AI to help with tasks such as analyzing data to make more informed business decisions, and mapping their data to understand customer needs and expectations. By the early 2020s, data-driven business decision-making is expected to become common place. Data-driven decision-making isn’t just a trend in business. It is a cultural change. As organizations collect more data, and make use of AI to analyze it, they will begin to realize the full value of this knowledge.
Decision-making that used to take hours or even days will now take minutes or hours. Before, we would wait for our sales representative to finish their analysis before we would receive a reply. With AI, we will receive a reply straight away. Now, we’ll only have to wait until the next day for our next analysis, or we can check our data to see what was discovered the previous day. Decision-making will become more efficient.
AI will make it easier for developers to build software
The field of AI has seen rapid technological progression in the last decade. In that time, we’ve seen significant advancements in both hardware and software. AI now runs on hardware that is hundreds of times more powerful than that which it ran on a couple of years ago. Supercomputers are expensive to build and run. AI requires a lot of computing power, but supercomputers don’t have the memory and storage capacity needed to store the data AI needs to perform its tasks.
AI-enabled personal devices are going to become common
As the data-driven business world enters the early 2020s, it is also entering an age of “The Apple Watch”, “The Google Home”, and “The Microsoft Cortana”. All three are capable of performing AI functions. The Apple Watch, which was released in 2015, is the first of these devices to receive full AI functionality. It can be used to control smart home devices, such as lights and heating systems. The Google Home, which was released in late 2017, can do everything that the Apple Watch can, as well as provide voice assistance. And the Microsoft Cortana, which is also coming, can do everything that the Google Home can, as well as provide reminders and updates.
By the early 2020s, artificial intelligence will have found a place in our daily lives. It will be a much more prevalent part of our daily lives than it is today, and it is likely to become more common. Data-driven business analytics will become commonplace, and decision-making will be faster and more accurate than it is today. Data will help us make better decisions, faster, and with more information than we have ever had at our disposal before.