AI was born in a workshop at Dartmouth College in 1956, where the term “Artificial Intelligence” was coined by John McCarthy, who is one of the key founders and leaders of A.I research. The motive behind A.I introduced a new discipline of computer science by proving logical theorems, solving word problems in algebra, and speaking English. By the mid- 1960s, the A.I research and development was on a high and also funded by the U.S army. Since then, the market of A.I technologies is in demand and flourishing.

A.I has rapidly and entirely changed the numerous areas of our daily lives as there is a remarkable race between many established private and government organizations, start-ups, and internet giants to keep their hand above.
In this blog, we will discuss the Top 15 Artificial Intelligence technologies that are trending in 2021.

Following are the A.I technologies in which businesses should invest, we will discuss them further one by one:

• Machine Learning
• Natural Language Generation
• Speech Recognition
• Deep Learning Platforms
• Virtual Agents
• Decision Management
• Content Creation
• A.I Optimised Hardware
• Text Analytics and Natural Language Processing (NLP)
• Robotic Process Automation
• Bio-metrics
• Marketing Automation
• Cyber Defence
• Image Recognition
• Emotion Recognition

Machine Learning

Machine Learning is one of the main components of A.I and the ability of computers to analyze data that automates analytical model building. Its objective is to innovate and develop new techniques enabling computers to learn and hence become more intelligent. With the help of algorithms, training tools, APIs (application programming interface) development, huge data, and robust applications, machine learning platforms are becoming more and more popular day by day. They are extensively used for the purpose of distribution and prediction of data in huge organizations like, Amazon, Google Fractal Analytics, SAS, H2O AI, Microsoft, Skytree, and Ad text which work with machine learning platforms.

Natural Language Generation

Even for humans, communicating clearly and efficiently can be tricky because of a large number of languages across the world. Similarly, for machines, processing and analyzing information and converting it into a readable format is a difficult task.
In its essence, it automatically generates narratives that summarise, describe, or explain input structured data in a human-like manner with the speed of thousands of pages per second.

It is used in customer service businesses widely to create market summaries and reports. Companies like Automated Insights, Attivio, Cambridge Semantics, Narrative Science, Yseop, Digital Reasoning, Lucidworks, and SAS, are some organizations that offer this technology.

Speech Recognition

Speech Recognition, also known as automatic speech recognition (ASR), is used to convert and transform human speech into a valuable and comprehensive format for computer applications to process. IBM has had a leading role within speech recognition since its inception, by releasing “Shoebox” in 1962. The transformation and transcription of human language into helpful formats is witnessed often nowadays and is proliferating.

Deep Learning Platforms

Deep Learning Platforms is one kind of machine Learning that duplicates the neural circuits of the human brain to process data and create different patterns for decision making. In this unique and advanced technology, algorithms developed using artificial neural networks. A few of its requisitions are image recognition, automated speech recognition, and predicting or projecting anything that can be sensed in the digital world. Some of the prominent Deep learning platform providers are Ersatz Labs, Deep Instinct, IBM Watson, Leverton, Peltarion, INTEL Nervana, Sentient Technologies, Fluid AI, MathWorks, and Saffron Technology.

Virtual Agents

A virtual agent is a computer program or agent capable of interacting effectively with humans. It is one of the most popular and broadly used artificial intelligence technologies across organizations. Currently, it is used in customer service through Chatbots, virtual representatives, or smart home managers. It helps companies to increase the work efficiency, surge business leads and lower the cost. Virtual agent technology also provides enormous valuable data to the organization by which a company can predict customer buying patterns. Companies that provide virtual agents are Amazon, Apple, Google, IBM, Microsoft Assist AI, Artificial Solutions, Creative Virtual, Satisfi, and IPsoft.

Decision making Management

Artificially Intelligent machines are capable enough of introducing logic to A.I systems in order to speed up them to be used for tuning, training, and maintenance. In order to develop profitable decision management and add value to the business, decision management is already being utilized by organizations by incorporating it into their operations and applications to thrust and execute an automated decision-making mechanism.

Content Creation

Although content is made by people working on ads, blogs, videos, posts, white papers, sales pages, etc. Content creation through A.I tools provide better customer perception and helps in automating repetitive tasks, which aid human writers focus on more demanding and challenging aspects of their jobs and build relationships with customers through personalized content. Brands like Pencil, Hearst, USA Today ad, Zalando, CBS, NEON creates A.I generated content. Articoolo, Wordsmith, Quillbot, Grammarly are some popular tools that are available in the market to create content.

Hardware Optimized by A.I

Due to better and improved graphics as well as central processing units and architecture, devices are being structured and used to execute AI-oriented tasks precisely. The best example is the AI-optimized silicon chip which can be inserted into any portable device. Therefore, companies and organizations are investing significantly in A.I to accelerate the next generation of applications and software. This technical service is provided by companies like Google, Alluviate, Intel, Cray, IB, and Nvidia.

Natural Language Processing (NLP) and Text Analytics

Natural Language Processing is specifically a branch of A.I which is concerned with providing computers an ability to understand spoken and text words in much the same way the human being can. We can call it a medium technology which helps in communicating between humans and computers.

It works as text analytics to analyze the structure of sentences and interpret the intention of thought words with the help of machine learning. This technology is extensively adopted in security systems and fraud detection. Many automated assistants and applications derive unstructured data by Basis Technology, NLP, Coveo, Expert System, Lexalytics, Indico, Knime, Linguamatics, Sinequa, Mindbreeze, Stratifyd, and Synapsify are some of the service providers of the technology.

Robotic Process Automation (RPA)

Robotic Process Automation refers to a software technology that makes it simple to build-deploy-manage software robots that emulate human actions interacting with digital systems and software. At this particular point in time, it is essential to keep in mind that A.I is not created or designed to replace humans, but to support, to reduces their efforts, and complement their skills and talent is the main motive behind it. Companies like Automation Anywhere, Pega systems, UiPath, Blue Prism, and WorkFusion, focus on this process.

Bio-metrics

A.I is also transforming the arena of security and authentication, Bio-metrics is one such example of it. Bio-metrics encompasses a range of modalities for customer’s physical features of the body’s structure authentication like touch, voice, facial recognition, body language, behavioral, etc. – that make this important consideration simpler, faster, and more secure than ever. It is predominantly used for market research and analysis. Organizations like FaceFirst, #VR, Affectiva, SynqeraAgnitio Tahzoo, and Sensory are some of the leading service providers of this technology.

Marketing Automation

Nowadays, Marketing and sales teams use A.I to empower marketing’s ability to translate data into decisions, meaningful interactions, and to positively impact business outcomes. This leads to saving lots of time, money, and energy for the organization and benefiting a lot from it in return. Methods incorporating A.I through automated customer data integration, customer segmentation, and campaign management are extensively used.

Cyber Defence

By using sophisticated algorithms, AI systems are being trained to detect, prevent and mitigate threats and attacks to the data and infrastructure of cyber systems. In addition, A.I and machine learning enable companies to reduce incident response times and comply with security best practices.

Now the big question is how it works? And the answer is, Neural networks that are proficient in processing sequences of inputs can be put to use along with machine learning techniques to create learning technologies in order to detect suspicious user activity and cyber threats. Darktrace, Vectra, Fortinet, Symantec, Check Point, FireEye are some of the top cybersecurity companies for Ai implementation.

Image Recognition

Image recognition refers to the process of detecting and identifying a feature in a video or an image. It can help image searches incredibly and diagnose diseases, study personalities, detect license plates and many more. Clarifai, GuGum’s, and SenseTime provide this technology service.

Emotion Recognition

This kind of AI technology enables reading and interpreting emotions expressed by humans by using advanced audio data processing and image data processing. Law enforcers often use this technology in the course of interrogation and cross-questioning. Some companies that use emotion recognition are nViso, Beyond Verbal, and Affectiva.