Artificial Intelligence trends in 2020

Nowadays, Artificial intelligence is one of the fastest moving and less predictable industries. As we know Artificial intelligence is Expanding and growing Every day. It literally took over every sector and it spreading over every possible industry right now. In the coming days, it will be the biggest boost industry in the global economy and the demand for the job in artificial intelligence will rise.

Artificial intelligence is becoming widely utilized to understand, enhance business and customer satisfaction. Today, It is defined as the implementation of some aspect of human abilities such as capable of thinking, learning, object or speech recognization, like we do.

Here, I am sharing some predictions on key Artificial Intelligence trends that will happen in 2020. 

Improve the Accuracy and Efficiency of Neural Network 

Architectures of the neural networks will continue to grow in size and depth. It will produce more accurate results and become better at mimicking the performance of humans on the tasks that involve data analysis. At the same time, It will also develop methods for improving the efficiency of neural networks. 

The methods of neural generations such as deep fake will also continue to improve and create more realistic manipulations of text, photos, videos, audios and other multimedia that are unidentifiable to humans. As AI enters more and more fields, there will be new issues and concerns will arise. The reliability and bias behind these AI approaches will be more scrutinized and become more widely deployed in society. 

AI in Healthcare

In 2020, Artificial intelligence plays a greater role in Healthcare. This technology will make healthcare more accurate and less costly. The ability of AI is to acquire and analyze data in real-time from various hospital information flows- electronic health records, staffing level information, Equipment utilization, emergency department admission, automated reporting, and interpreting data in meaningful ways.

AI in Manufacturing

Manufacturing industries will embrace AI to modernize the product line. Quality control is one of the biggest challenges in the manufacturing industry. AI will perform manufacturing, quality control, shorten design time, reduce waste of material, increase reuse of production and many more. With AI adoption, they can make quick, data-driven decisions, optimize manufacturing processes, reduce operating cost and improve the way they serve their customer. 

AI in Media

Artificial Intelligence aims to change the media and entertainment industry- impacting everything from content creation to the consumer experience. It will affect all type of media value chain will help content creators to be more innovative and help a content consumer to find the content that suits their requirement and needs.AI methods are also used in the development of stories, production & Scriptwriting.

AI in Cybersecurity

Hacking phishing and cyber attack are becoming more resistant and continuously increasing at a faster rate. AI is used cyber threat detection to identify the threat and deter online criminal activities. It enhances the cybersecurity solution that companies used to fight cybercrime and help to keep organizations and customers safe.

AI will become less data-hungry

Based on Deep learning, AI algorithms could only work with real-time data, which was complicated by the need for feeding it with the right kind of data and volume of data. It can be challenging and time-consuming. Data synthesis methodologies are helping AI tech leverage old videos and other media to create new scenarios and customize experiences.

AI and chatbots

In the coming years, real-time and individual interaction will drive marketing. AI professionals play an important role in making that happen. conversational AI of like Alexa of Amazon, Google assistant, and others are occupying the space. Similarly, banks use AI chatbots for customer services instead of a human interface. Now chatbots available in both text mode and voice mode.

AI and Governance

The governance and ethical issue related to AI technology will grow in the coming year. Successful adoption and scalability of AI will depend on those complexities being resolved. It involves in creating policies around biased data that contribute to technical discrimination.

Also Read: Artificial intelligence and why it matters?

Edge computing

Without Internet of Things (IoT), many destined artificial intelligence innovations would not be possible. Both combinations can be loosely called Edge Computing. The Data thus collected would be leveraged by AI specialists to customize decision-making models and programs. For Dominos 30 minutes delivery promise becomes possible with IoT & AI- a combination of geolocation and data to forecast time frames and automate notifications. 

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