Technologies in Artificial Intelligence

Jaidev Chatanat
Ai
17 April 2018
#AI #MachineLearning

The market for technologies like artificial intelligence (AI) is flourishing. Many internet giants and startups are racing to acquire AI; there is a significant increase in investment and adoption by organizations. As enterprises view business intelligence, AI is transforming their way. Currently, artificial Intelligence includes a variety of technologies and tools, some time-tested, and the rest are relatively new. Here are technologies that define Artificial Intelligence.

Machine Learning:

Now a days, computers can also easily learn, and they can be extraordinarily intelligent! Machine learning (ML) is one of the branches of AI. ML's main goal is to develop intelligent machines that improve and teach themselves from data without programming or human interference which are mainly used for prediction and classification.Organizations prioritize this as they invest in this heavily to redefine their business edge. The first and only audience management tool in the world that applies real AI and machine learning to digital advertising is Adext AI. This helps to find the perfect audience for the ads

Robotic Process Automation:

Robotic processes automation uses scripts and methods that mimic and automate human tasks to support efficient business processes. Companies are currently employing RPA in business sectors where it is too expensive and inefficient to employ human workers. It’s a solution that lets you make the most of your human talent and move employees into more strategic and creative positions, so their actions can make an impact on the company's growth. Examples of robotic processes automation companies are Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, and WorkFusion


Virtual Agents:

Virtual agents are nothing but agents or computer programs capable of interacting with humans; it can differ from chatbots to other advanced systems eg. Siri, Cortana & Alexa. Virtual agents are widely being used for customer support, service and smart home managers. These agents can perform intelligent conversation, can respond to queries and work 24/7.

Decision Management:

Integrated into various corporate applications to assist and execute the automated decision, decision management helps increase profit in the business. Businesses use automated decision making to make a better and information-driven decision. Organizations use it to manage their employee, supplier and customer interaction to enhance operational decisions. The firms using software to aid in their decision-making process includes Banking, Insurance and financial sectors.

Speech Recognition:

Speech recognition is increasingly used by mobile phones, voice response systems and applications. It transcribes and transforms human speech into a format useful for computer applications. It allows the application/program which uses it to convert human language and phrases into data Sample vendors like NICE, Nuance Communications, OpenText, Verint Systems. It does the transcription and transformation of human speech into a form that can be easily understood by computers. Speech recognition can be used for voice dialling, voice search, call routing, voice search, and speech-to-text processing.

Conclusion:

Today, AI has spawned varied technologies of which some are tested and some are recent. These are the five latest technologies that are altering the very landscape of AI. AI techniques have experienced a revival following the concurrent advances in computer power, large amounts of data, and theoretical understanding. AI techniques have become in the technological industry, helping them solve many problems.

About the Author

Jaidev Chatanat is a thought leader in the space of marketing intelligence, customer service and digital transformation. He has been an advocate for applying the right digital transformative strategies and techniques for many decades for fortune 500 companies.

He is reachable for consultation on jaidev.c@signon.ai

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