According to the latest statistics, the revenues for the artificial intelligence (AI) market globally, including software, hardware, and services, are expected to grow 19.6 percent (year-on-year) in 2022 to reach $432.8 billion.

The International Data Corporation (IDC) confirms that the market could well be on its way to breaking the $500 billion mark by 2023. In this article, we will try and take a look at the benefits and applications of Artificial Intelligence AI technology and the Artificial Intelligence Future.

What Makes AI Technology So Useful?

The capacity of automation in AI

AI has the ability to automate repetitive learning and discovery through data. This means that AI can move beyond the automation of manual tasks to focus on automating high-volume, computerized tasks. Unlike a human worker, AI does not need breaks and can perform optimally without the slightest impact on performance, year in and year out. Although humans will always be required to perform higher-order and more creative tasks, Artificial Intelligence Benefits remove a lot of the burden of repetitive, routine tasks from human workers.

AI’s capacity for intelligence

AI can enable a greater degree of intelligence in existing products and services. Do integration of AI into popular technology solutions enable them to capture data better, process them efficiently and unlock deeper insights that enable ‘smarter’ or data-driven decision-making. The integration of AI into various facets of technology such as automation, conversational platforms, bots and smart machines can unlock a large number of use cases when combined with a massive amount of data these technologies collect. The use cases can range from smart home and office upgrades to more responsive and agile security intelligence and better investment analysis.

Enhanced adaptability through progressive learning algorithms

Progressive learning algorithms in AI enable the data to guide the programming. This enables the data to reveal hidden patterns and irregularities so the algorithm can learn from the data. This level of adaptability can be deployed in a number of use cases, including an algorithm learning to play chess adaptively depending on the calibre of the opponent and recommendation engines that learn progressively from user behaviour and interaction with content. The algorithm adapts to the new data as we put in more data. To learn more about this topic, please contact Managed IT services Lafayette.

AI analyzes data better.

Neural networks used in AI have the ability to analyze data better as they have many hidden layers. This is especially handy in applications of big data, where massive amounts of data are used to train deep learning models. These can be easily deployed in use cases such as creating a fraud detection system with multiple hidden layers thanks to the increased capacity of computer processing and big data.

Pinpoint accuracy

Most AI algorithms or learning methodologies make use of adaptable learning models through the use of deep neural networks. Voice assistants such as Siri, Alexa, and Google learn progressively depending on user interaction and deep learning. This is why their accuracy improves over time as the user provides more and more voice inputs and directions. Similar applications of Artificial Intelligence Technology can be found in healthcare and logistics, where deep learning enables critical features such as early diagnosis of ailments like cancer and object recognition.

AI helps you get the most value from your data.

With the capability of self-learning in algorithms, data can be your company’s biggest asset. You can start with some questions, but you do not even need to program your algorithm to find answers to specific questions because it is capable of learning from the data. And the answers it generally finds are much more insightful and probably answer questions that you would have never thought to ask in the first place. In this way, AI can truly help your business eke out a competitive advantage that your peers will find hard to contend with. The company with the best data and the right algorithm will always win in a competitive marketplace where data is the driver of competitive distinction.

Applications of AI Technology


AI has far-reaching implications in the field of healthcare. Already, we are witnessing the development of applications to deliver personalized medicine, algorithms that can learn from patient habits and remind them to take their medicines or take a test when it comes due. AI also has extensive applications in rehabilitative physiotherapy because it can suggest the right exercises to perform in specific scenarios.


AI technology has wide applications in retail ranging from supply chain management to inventory management, enhancing customer experience in both walk-ins and online purchases, helping design an interface that leverages both the stores' physical assets and digital capabilities to offer a synergistic experience of maximum customer convenience, personalize recommendations and delight.


AI needs to be integrated into shop floors so that manufacturing companies can take advantage of predictive load and demand forecasting, optimum resource usage, predictive maintenance, and smarter, more data-decision making about logistics, scheduling and procurement.


AI solutions are already being widely deployed in the banking sector to detect fraudulent transactions, assess credit scores with much-improved accuracy, and automate an enormous amount of tasks that hitherto require manual data input and data management. Irrespective of your industry, IT consulting New Orleans can help you understand how Artificial Intelligence will change the future.

About Bridget:
Bridget Juelich is a sales & marketing manager at CommTech based in Metairie, Louisiana. CommTech has offered best-in-class. IT support New Orleans & Gulf State businesses for three decades. Bridget holds Bachelor’s Degree in Mass Communication/Public Relations from Loyola University New Orleans. Connect via LinkedIn.