Top 15 Artificial Intelligence Technologies in 2020
Artificial Intelligence was coined in 1955 to introduce a new discipline of computer science. It is rapidly and radically changing the various areas of our daily lives as the market for AI technologies is demanding and flourishing. There is a significant race between many start-ups and internet giants to acquire them. In this article, we will discuss Top 15 Hot Artificial Intelligence technologies that one should know.
Following pointers will be covered in this article:
- Natural Language Generation
- Speech Recognition
- Machine Learning Platforms
- Virtual Agents
- Decision Management
- AI Optimized Hardware
- Deep Learning Platforms
- Robotic Process Automation
- Text Analytics and Natural Language Processing (NLP)
- Bio-metrics
- Cyber Defense
- Content Creation
- Emotion Recognition
- Image Recognition
- Marketing Automation
So, let us get started then,
Top 15 Hot Artificial Intelligence Technologies
Natural Language Generation
Even for humans to communicate efficiently and clearly can be tricky. Similarly, for machines to process information is an entirely different process than the human brain, And it can be extremely tricky and complex. Natural Language Generation is a sub-discipline of AI that converts text into data and helps the systems to communicate ideas and thoughts as clearly as possible. It is used in customer service, widely, to create reports and market summaries. Companies like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop offer Natural Language Generation. No wonder this one makes to the list of top 15 hot artificial intelligence technologies.
Speech Recognition
Speech Recognition is used to convert and transform human speech into a useful and comprehensive format for computer applications to process. The transcription and transformation of human language into useful formats is witnessed often nowadays and is growing rapidly. Companies like NICE, Nuance Communications, OpenText, and Verint Systems offer speech recognition services.
Machine Learning Platforms
Machine Learning is a sub-discipline of computer science as well as an important branch of Artificial Intelligence. Its objective is to develop new techniques enabling computers to learn and hence become more intelligent. With the help of algorithms, APIs (application programming interface), development, training tools, big data, and applications, machine learning platforms are becoming more popular. They are widely used for the purpose of categorization and prediction. Amazon, Fractal Analytics, Google, H2O AI, Microsoft, SAS, Skytree, and Ad text are some of the companies selling machine learning platforms.
Virtual Agents
A virtual agent refers to a computer agent or a program that is capable of interacting effectively with humans. Trending on charts top 15 hot artificial intelligence technologies, currently, it is used in customer service through Chatbots as well as a smart home manager. Companies that provide virtual agents are Apple, Google, Amazon, Artificial Solutions, Assist AI, Creative Virtual, IBM, IPsoft, Microsoft, and Satisfi.
Decision Management
Artificially Intelligent machines have the capability of introducing logic to AI systems in order to gear them up to be used for training, maintenance, and tuning. In order to add value to the business and profitable, decision management is already being used by organizations by incorporating it into their applications to propel and execute automated decisions. Some companies that provide this service are Informatica, Advanced Systems Concepts, Maana, Pegasystems, and UiPath.
AI Optimized Hardware
Owing to better and improved graphics as well as central processing units, devices are being structured and used to execute AI-oriented tasks specifically. A prominent example of this is the AI optimized silicon chip which can be inserted into any portable device. Therefore, companies and organizations are investing greatly in AI to accelerate the next generation of applications. This technological service is offered by companies like Alluviate, Google, Cray, Intel, IB, and Nvidia.
Deep Learning Platforms
Deep Learning Platforms is a form of machine Learning that duplicates the neural circuits of the human brain to process data and create patterns for decision making. In this unique technology, algorithms use artificial neural networks. A few of its applications are automated speech recognition, image recognition, and prediction of anything that can be sensed in the digital sphere. Deep learning platform providers are Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology, Sentient Technologies, and Leverton.
So we have it halfway in this article, let us see some more tools.
Robotic Process Automation
Robotic Process Automation refers to the functioning of corporate processes due to mimicking human tasks and automates them. In this particular sphere, it is important to bear in mind that AI is not meant to replace humans, but to support and complement their skills and talent. Companies like Pega systems, Automation Anywhere, Blue Prism, UiPath, and WorkFusion focus on this process.
Text Analytics and Natural Language Processing (NLP)
Natural Language Processing focuses on the interactions between human languages and computers. It uses text analytics to analyze the structure of sentences as well as their interpretation and intention through machine learning. This technology is widely adopted in fraud detection and for security systems. Many automated assistants and applications derive unstructured data by NLP. Basis Technology, Expert System, Coveo, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, and Synapsify are some of the service providers. No wonder these terms make it to the top 15 hot artificial intelligence technologies list.
Bio-metrics
Biometrics deals with the recognition, measurement, and analysis of the physical features of the body’s structure, form, and human behavior. It fosters organic interactions between machines and humans as it works with touch, image, speech, and body language. It is predominantly used for the purpose of market research. #VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, and Tahzoo provide this technology service.
Cyber Defense
Cyber defense is a computer defense mechanism that aims to detect, prevent, and mitigate attacks and threats to data and infrastructure of systems. Neural networks that are capable of processing sequences of inputs can be put to use along with machine learning techniques to create learning technologies in order to reveal suspicious user activity and detect cyber threats.
Content Creation
Although content is created by people working on videos, ads, blogs, and white papers; brands like Hearst, USA Today ad CBS are using AI to generate content. Wordsmith is a popular tool created by Automated Insights, which applies NLP in order to generate news stories.
Emotion Recognition
This kind of AI technology enables emotions expressed by humans to be read and interpreted using advanced image processing or audio data processing. Law enforcers often use thus technology during interrogation. Some companies that use emotion recognition are Beyond Verbal, nViso, and Affectiva.
Image Recognition
Image recognition refers to the process of identifying and detecting a feature in a video or an image. It can help the process of image searches greatly as well as to detect license plates, diagnose diseases, and study personalities. Clarifai, SenseTime, and GuGum’s provide this technology service.
Marketing Automation
Marketing and sales teams and divisions have adopted AI and benefited a lot from it in return. Methods incorporating AI through automated customer segmentation, customer data integration, and campaign management are widely used. AdextAI has grown to become a pioneer in adopting marketing automation.
So this it guys, this brings us to the end of this article. I hope you liked this article gave you something new to learn.
With this, we come to the end of this blog. If you have any queries regarding this topic, please leave a comment below and we’ll get back to you.If you wish to check out more articles on the market’s most trending technologies like Python, DevOps, Ethical Hacking, then you can refer to Edureka’s official site.
Do look out for other articles in this series which will explain the various other aspects of Data Science.
2.Math And Statistics For Data Science
9.Introduction To Machine Learning
12.How To Create A Perfect Decision Tree?
13.Top 10 Myths Regarding Data Scientists Roles
14.Top 5 Machine Learning Algorithms
15.Data Analyst vs Data Engineer vs Data Scientist
16.Types Of Artificial Intelligence
17.R vs Python
18.Artificial Intelligence vs Machine Learning vs Deep Learning
20.Data Analyst Interview Questions And Answers
21.Data Science And Machine Learning Tools For Non-Programmers
22.Top 10 Machine Learning Frameworks
23.Statistics for Machine Learning
25.Breadth-First Search Algorithm
26.Linear Discriminant Analysis in R
27.Prerequisites for Machine Learning
28.Interactive WebApps using R Shiny
29.Top 10 Books for Machine Learning
Originally published at https://www.edureka.co on September 26, 2019.
