Artificial Intelligence Trends in 2020

  

Artificial intelligence Trends is the leading industry media channel focused on the business and technology of AI.

Here are Artificial intelligence trends in 2020:-

- Deep learning:

 Deep learning is an Artificial Intelligence form, which develops algorithms called artificial neural networks working by modeling the human brain function and structure.

Numerous areas of Artificial intelligence technology like computer vision, autonomous vehicles, and automatic text generation and so on are the fields where deep learning use is at its peak.

- AI Customer Support and Assistance:

Each business should strive . Satisfying existing customers helps businesses market new products and services. AI enables firms to improve their customer service by offering better response time and interaction. Artificial system assistance includes sales tasks and customer services. It will be more streamlined.

Many businesses use chatbots  to offer an enjoyable customer experience to market products and make payments. They are efficient in offering exemplary customer service. Many chatbots use data from huge databases. But, they might not comprehend particular phrases. Chatbots will match human conversation. For instance, AI-driven chatbots can recall some parts of a conversation with a client and make a personalized conversation using them.

 - Facial Recognition:

Despite having a great deal of negative press recently, facial recognition technology is regarded as the Artificial Intelligence future due to its immense popularity. It promises an immense growth in 2020, and further.

Facial recognition, an artificial intelligence application form, helps identify a person with their digital image or patterns of their facial features.

The year 2020 will witness a growth in the use of facial recognition technology with more reliability and enhanced accuracy.

Let’s take two examples: the use of Facebook’s Deepface program to simply tag users’ family and friends in their photos, and the use of facial recognition in the famous IPhoneX as a digital password.

These days, we are moving towards making all personalized, whether shopping or advertising and so on. As a result, this technology must be used for biometric identification to a large extent.

Moreover, it will not face any obstacle on its way owing to the non-invasive identification and simple deployment.

Some other uses like payment processing by means of security checks and for law enforcement (for early detection prevention of crime) will be at the peak.

Facial recognition technologies can also make its own value in the healthcare field too for following through clinical trials and medical diagnostic procedures.

Openwater, an imaging technology forerunner capable of reading images from our brains, is likely to have a bright future.

 

- Data Access Enabling Ubiquity:

Data is making Artificial Intelligence more versatile. Data access enabling ubiquity is one of the recent Artificial Intelligence innovations this year. Reliable and accurate information helps businesses shift to AI-powered automated decision making. It has cut operational cost, streamlined processes, and improved the research capabilities of many organizations.

 For example, developers of the autonomous car software can access a lot of driving data without driving the vehicles. Soon, we will witness a drastic increase in the application of Artificial Intelligence in real-world simulations. As AI becomes more sophisticated, it will cause cost-effective and widespread availability of crucial data.

- Privacy and policy:

The introduction of GDPR became the talk of the town in 2018. And, 2020 seems to experience further privacy and policy conversations. It’s important for privacy protection and sincere access to data privacy.

Mostly, people don’t know about the way in which their digital information is being used. Such information is lost in the fineprint many times and other times not even informed about its use.

The finest example is Facebook’s latest issue related to privacy policies. Privacy and policy will have much bigger importance in 2020.

The matter of consent of use of a system, particularly around AI apps would be huge providing that the laws that surround AI are still new and require further understanding.

All countries across the world would keep working on strategies and initiatives for the guidance of artificial intelligence (AI) regulation development.

Criteria that are necessary to make sure that transparency, safety, and awareness of the complex technologies of AI would be developed too.

- AI-enabled chips:

Artificial intelligence heavily banks on specialized processors completing the CPU. Even the highly-advanced CPU may not improve the speed of training an AI model.

When inferencing, the model requires extra hardware to do complex mathematical computations to make tasks faster like facial recognition and object detection.

In the year 2020, chip manufacturers like NVIDIA, Intel, ARM, AMD, and Qualcomm will ship specialized chips capable of making the execution of AI-enabled applications much faster.

Such chips will be optimized for particular utilization and scenarios concerning computer vision, speech recognition, and natural language processing.

Future apps from the automobile and healthcare industries will bank on these chips to provide intelligence to end-users.

In 2020, hyperscale infrastructure organizations like Microsoft, Amazon, Facebook, and Google will invest more in custom chips that are based on field programmable gate arrays (FPGA) and application specific integrated circuits (ASIC).

To run modern workloads based on AI and high performance computing (HPC), these chips will be optimized. Some of these chips will also help advanced databases to enhance query processing and predictive analytics.

- Predictive Analytics:

Artificial Intelligence, NLP, and machine learning to process data have a positive effect on augmented analytics. More companies will start using predictive analytics . It is essential in customer service, recruitment, price optimization, retail sales, and supply chain improvement. Predictive analytics will help businesses use real data to prepare for outcomes and behaviors thus being more proactive.

- Cloud:

According to an expert report, the largest public cloud providers will have a rise in 2020, on the other hand, enterprise spending will increase.

The six well-known hyperscale cloud leaders Amazon Web Service (AWS), Alibaba, Google, IBM, Microsoft Azure, and Oracle will become larger in 2020, as per the report prediction, as service catalogues and global regions expand.

At the same time, the world cloud computing market which includes cloud platforms, Saas, and business services will cross $200 billion in the year, expanding above 20%, as per the report estimation.

- Real - Time Marketing Activities:

Instant data on current marketing decisions is part of real-time marketing. It relies on relevant trends and customer feedback to prepare strategies. The number of real-time marketing activities is expected to soar in 2020, and Artificial Intelligence will drive most of them. Besides, more companies will apply AI to manage real-time user interactions and satisfy clients.