Artifical Intelligence
Artificial Intelligence ,most commonly known as Machine Intelligence is what we use in our daily life without even knowing it. We love to talk to Siri(Apple) and we go gaga when Siri responds us. But have you ever noticed what is the fundamental behind this. They use artificial intelligence in contrast to natural intelligence which is displayed by humans and animals. In contrast to natural intelligence ,machines respond to cognitive functions that humans associate.Whatever you say they perceive it and decode the data.
Artificer intelligence is developing at a faster pace ,Amazon Echo ad which we see on television sets is also an example of artificial intelligence.
Applications of Artificial Intelligence:-
Online and Telecommunication Service:
Artificial intelligence is implemented in automated online assistants that can be seen as avatars on web pages.[42] It can avail for enterprises to reduce their operation and training cost.[42] A major underlying technology to such systems is natural language processing.[42] Pypestream uses automated customer service for its mobile application designed to streamline communication with customers.[43]
Currently, major companies are investing in AI to handle difficult customer in the future. Google’s most recent development analyzes language and converts speech into text. The platform can identify angry customers through their language and respond appropriately.There is yet more to explore but it has already penetrated the market.
News Publishing and Writing: Echobox is a software company that helps publishers increase traffic by ‘intelligently’ posting articles on social media platforms such as Facebook and Twitter. By analyzing large amounts of data, it learns how specific audiences respond to different articles at different times of the day. It then chooses the best stories to post and the best times to post them. It uses both historical and real-time data to understand to what has worked well in the past as well as what is currently trending on the web.
Human Resources and Recruiting:
There are three ways AI is being used by human resources and recruiting professionals. AI is used to screen resumes and rank candidates according to their level of qualification. Ai is also used to predict candidate success in given roles through job matching platforms. And now, AI is rolling out recruiting chat bots that can automate repetitive communication tasks.
Typically, resume screening involves a recruiter or other HR professional scanning through a database of resumes. Now startups like Pomato, are creating machine learning algorithms to automate resume screening processes. Pomato’s resume screening AI focuses on automating validating technical applicants for technical staffing firms. Pomato’ s AI performs over 200,000 computations on each resume in seconds then designs a custom technical interview based on the mined skills.
Market Analysis and Data Mining: Several large financial institutions have invested in AI engines to assist with their investment practices. BlackRock’s AI engine, Aladdin, is used both within the company and to clients to help with investment decisions. Its wide range of functionalities includes the use of natural language processing to read text such as news, broker reports, and social media feeds. It then gauges the sentiment on the companies mentioned and assigns a score. Banks such as UBS and Deutsche Bank use an AI engine called Sqreem (Sequential Quantum Reduction and Extraction Model) which can mine data to develop consumer profiles and match them with the wealth management products they’d most likely want.
HealthCare: It has an immense role to play in health sector. As it helps in better drug discovery. It maintains data and history for patients .With the symptoms they can immediately evaluate further consequences. They can scan the reports and parameters. The process will be much faster.Thus it helps in better Disease identification and diagnosis of ailments. It helps in predictive analysis.The use of machine learning in preliminary (early-stage) drug discovery has the potential for various uses, from initial screening of drug compounds to predicted success rate based on biological factors. This includes R&D discovery technologies like next-generation sequencing.
The world is progressing so widely and hence their application in day to day activities are turning boon for us.
