Leading AI Trends You Should Be Aware Of

Artificial intelligence (AI) keeps us enthralled, amazed and in many other cases, intimidated. AI makes possible the creation of intelligent software and hardware capable of replicating human behavior. It makes learning and problem solving unimaginably easy. Since 1956, the year that AI was coined, AI is no longer a technology that is only associated with robotics and movie screens, this technology is taking over the world by allowing machines to perform human tasks effortlessly.

AI increase levels of precision accounting for a few errors and higher work efficiency. It analyzes deep data easily and adds to the capabilities of already developed devices. Not to mention the fact that it easily adapts to new and progressive algorithms for learning. Taking all these in, it makes sense that AI is taking over the world. The main applications of AI are seen in markets with revenue expected to be worth $7.3billion by the end of 2018. A large proportion of this revenue will come from its use in the enterprise applications market.

In startups and investments, the amount of money invested in AI is upwards of $15billion. Other areas that are expecting significant influence include Robotics, autonomous vehicles or autonomous driving, big data, language processing, and voice recognition, and virtual digital assistants.

The expected trends include:

1. Simplified machine-learning interactions using natural language processing (NLP)

NLPS is a fast-growing part of AI focusing on human language. It’s based on applications that promise to interact with humans better by understanding all the finer nuances of speech, dialects, pronunciation, and contexts. The use of NLP, if embraced, will be a great marketing tool. It lets you create great content. And on the other end of the search engines, it allows for a better search of content that best meet the needs of users. As part of your digital strategy, you could use NLP in customer service chatbots, recruitment portals, or as virtual assistants.

2. Democratization in machine learning models.

The use of machine learning technologies is gaining ground in financial applications, medical applications, AIOps, and industrial applications. In these applications, there is an increase in the use of automated machines and robots to get the work done faster, and efficiently.

3. Creation of digital marketing tools

With the AI scene to be worth at least $9.88 billion by 2022, you should expect the changes in the tech world to leach through to digital marketing. AI allows for the effective implementation of digital marketing strategies through improved customer services management and the development of better tools.

There’s also big data. The success of a digital marketing strategy depends on the availability of data, and consequently, the use of the data. AI allows collection and deep analysis of data from marketing campaigns across multiple platforms. Some of the tools read content and guide writers to improve their content. By understanding the marketing landscape deeply, it’s possible to create content that performs better.

Other trends to expect include:

4. The unification of tools used in at and the development of platforms with cohesive features

5. The development of smart cities – these are cities that can meet the demands of their growing population easily. The smart cities leverage Big Data, AI, and IoT.

The use of AI to create personalized product recommendations