Tech

Top 10 Artificial Intelligence Technologies Everyone Should Be Watching In 2020

“Alexa, tell me a joke”.

“Alexa, read me a poem”. 

“Alexa, what date is tomorrow?”

Every one of us would have asked any of these questions to Alexa. Breakthroughs in artificial intelligence have given us personal assistants like Siri and Alexa which is a part of our daily lives today.

Artificial Intelligence innovations have contributed not just to technological advancements but for the ease of our lives too. AI has been innovating new tools and technologies that become closer and closer to our daily routine. From sectors including entertainment, education, to healthcare and shopping, we use AI tools and technologies every day.

Artificial intelligence and machine learning are sophisticated computer technology that is utilized to understand and improve business and customer experiences. Businesses have transformed, creating new opportunities and scope. `There have been changing trends that easily outdated many technologies used before. We do not even know when AI innovations will replace the things we use today and our lifestyle.

As AI advances every year, 2020 has also witnessed some novel technologies. Right now pursuing a career in AI and the skills were a top demand in the fastest-growing jobs of recent years. Several new advancements have emerged apart from the progress in the existing AI technologies that we use today. This post will let you know about the top AI technologies. 

The Top 10 AI technologies in 2020

1. Natural Language Processing (NLP)

What is Natural Language Processing, or NLP?  Natural Language Processing is all about how computers work with human language. NLP is a subset of AI that enables computers to understand, interpret, and manipulate human language. 

Natural language processing makes it possible for computers to extract keywords, understand the intent of language, translate to another language, and generate a response. NLP has its roots in linguistics, from where it emerged to enable computers to process natural language.

The process of NLP includes from lexical Analysis (Analysing the structure of words) to Pragmatic Analysis (data is interpreted on what it meant)

So what are NLP trends that dominate 2020? 

Integrated Chatbot and Business Intelligence are NLP trends in 2020. A virtual customer assistant or a chatbot can succeed to satisfy our queries and needs. Customers have embraced intelligent assistants and different bots at a surprising rate, changing the standards for customer satisfaction.  NLP also plays an important role in the progress of business intelligence from raw business information, product information, marketing to customer services. NLP will eventually dominate human-to-machine interaction easily and monitor a company’s growth at every phase. 

2. Virtual Agents

What questions have you asked Alexa today? To play your favorite music?

While virtual digital assistants such as Alexa and Siri started as technologies to inquire about everything from weather, traffic reports, latest news to our favorite recipes, they are also becoming powerful in marketing and customer service. Alexa and Siri have already become a part of our daily life.

We know virtual agents are artificial intelligence products with a virtual character. Chatbots and home managers are other AI virtual agents that can have an intelligent conversation with their customers. Amazon, Google, Microsoft, IBM, etc. deliver virtual agents creating new trends. 

3. Biometrics

Haven’t you recorded your fingerprint on your phone? This is where biometrics technology is used.

Biometrics technology is developed to identify, analyze, and measure the human body form and structure. Biometrics is used as biological and morphological for different requirements. Our fingerprints, the shape of the hand, of the finger, vein pattern, the eye, and the shape of the face, are used for morphological analyses.

DNA, blood, saliva, or urine, on the other hand, are biological biometrics used by medical teams and police forensics. Voice recognition, signature dynamics, gestures, etc are part of biometrics developed in 2020. It will certainly be a huge milestone in the field of security. 

4. Machine learning

What is Machine learning?

Machine learning is a branch of AI that provides training tools, algorithms, applications of big data, and some other features. The machine learning system is developing day by day. ML is prominent in business applications, creating new technologies every day in different sectors. Machine Learning helps machines interpret and understand the meaning of data. However, most Machine Learning operations use an approachable, and well-known programming language, Python. If you are a machine learning beginner and looking to finally get started using Python, a Python training can help you. 

Let’s check in on ML’s increased technology in 2020. It has progressed the health sector and the business sector to a whole new level. The use of Multiple Technologies in ML has emerged in 2020. The use of multiple technological strategies to achieve better learning is current practice in ML.

ersonalized Computing Environment is developed by Machine learning and developers will have access to API kits to design and deliver more intelligent applications this year. 

5. Robotic process automation

Robotic Process Automation, or RPA, is a technology that automates jobs. RPA automates repetitive tasks that people do. It interprets applications, processes transactions, deals with data, and replies to emails. RPA offers many job opportunities including developer, project manager, business analyst, solution architect, and consultant and these jobs pay well.

RPA trends in 2020 offer cost-effective solutions to industries that are easier to deploy. Leading solution providers are working to simplify labor expensive portions of RPA deployment including design, development, and maintenance. RPA companies are trying to build AI capabilities to moderate repetitive and simple tasks. Agriculture Robots are also improved to yield better products in the farming sector. 

6. Deep learning platforms

Deep Learning Platforms is a form of machine learning which is the most powerful, that includes artificial neural circuits. Its applications include speech recognition, image recognition, and prediction of anything that can be sensed in the digital sphere. There is a massive scope for deep learning in the future. The computer programmers have advanced in the ML field by using the technique by which the human brain works.  Big data analysis is developed by deep learning solutions creating innovations in the digital healthcare service. This is why learning a programming language is important. 

A year has witnessed many changes that deep learning platforms developed. E-prescriptions for patients are developed in the healthcare sector. Organizations have started using deep learning that will understand the semantic meaning of the text it reads, then deals with customer inquiries in the contact center, and monitor social media sentiment. 

7. Marketing Automation

How did markets grow with the help of AI? What AI technology has been used to create this dramatic change? 

The marketing sector has flourished since automation influenced them. Marketing automation uses software to analyze customer division, customer data incorporation, and campaign organization. 

2020 has marked the growth of Marketing Automation. Marketers will widely use machine learning in content creation. Different marketing strategies are automated that enhance the industry. The behavioral data of users are recorded by Machine Learning systems. Marketing and sales teams have adopted AI and benefited a lot from it. Automated customer segmentation, customer data integration, and campaign management are widely used through automation. 

8. Cyber Defense

Cybersecurity might not seem like emerging technology but has evolved to defend against slightest threats. 

The toughest security measures are implemented against hackers who are trying to illegally access data. The new technology of cyber defense is deployed to enhance security. The number of cybersecurity jobs in 2020 is growing as technology is widely accepted and used. 

Jobs range from the ethical hacker to chief security officer, offering a promising career path. Top cybersecurity companies like  Darktrace, SAP NS2, CrowdStrike, Vade Secure,  Blue Hexagon focus on using artificial intelligence and machine learning to protect their enterprises. 

Applications of cybersecurity detect threats, even unknown, and can mark it instantly.  The only way that any type of system and data can survive in this world is by implementing cyber defense.

9. Speech Recognition

Speech recognition is another important subset of AI, that acts as a bridge between human and computer interactions. The technology recognizes and converts human speech in several languages and several tones. Phones would now recognize our sounds too as they recognize our face and fingerprints.  Siri is such an example of speech recognition.

Improvements in the performance of speech technologies, such as automatic speech recognition, pronunciation error detection, and speech scoring improved English speaking skills.  The accuracy rate of speech recognition is high and in 2020, up to 50% of web searches will be made by voice. Speech recognition technology is already available in over 119 languages and will increase in the year as the usage of smartphones has increased.

10. Digital Twins

What is a digital twin?

A digital twin is a digital representation of a physical object, large items such as buildings, factories, and even cities that take real data as inputs and produce outputs. NASA has used digital twins to check full-scale mockups of early space capsules and diagnosed problems in orbit, eventually giving way to fully digital simulations.

Digital twins offer a real-time look at what’s happening with physical assets, which can predict maintenance burdens. Undoubtedly, Digital Twin is termed as the next level of digital transformation. It’s a blend of machine learning, artificial intelligence, predictive analytics, and other data-science capabilities.

Let’s sum up

If we could list out these many innovations in a year, imagine how much we can wait for in the future? We have only read about the top ten technologies that emerged in a year. Let’s wait and watch what wonder AI would bring in the coming future. Meanwhile, do not forget to give a name for your future virtual assistant.  

Tags
Show More

Related Articles

Close