Anjuum Khanna - Why Artificial Intelligence Matters

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Why ArtiďŹ cial Intelligence Matters Anjuum Khanna

Anjuum Khanna- What is Artificial Intelligence As the name speaks it is known as “artificial intelligence” or “machine intelligence”. So Artificial intelligence (AI) is a special feature of machines, in comparison to the natural intelligence displayed by humans and other animals. In computer science, AI research is defined as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. So when a machine is involved in a function like “problem-solving” or “learning” it is also known as artificial intelligence.

As intelligence is a step above the common task so a task which is common is not intelligence.

As per me, this word is a word which is full of disputes. So intelligence requires frequent innovation. Let us understand this with a small example.

As optical character recognition is frequently excluded from “artificial intelligence”, has become a routine technology.

At one point in time, this was the part of Artificial Intelligence. Right now these technologies are defined as artificial intelligence understanding human speech, competing at the highest level in strategic game systems (such as chess), autonomous cars, intelligent routing in the content delivery network and military simulations.

Types Of Artificial intelligence (AI)

Narrow AI is what we see all around us in computers today. Intelligent systems that have been taught or learned how to carry out specific tasks without being explicitly programmed how to do so.

Artificial general intelligence is a futuristic intelligence and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets, or to reason about a wide variety of topics based on its accumulated experience. This is the sort of AI more commonly seen in movies, but this technology doesn’t exist today.

Machine Learning

In Anjuum Khanna’s definition, machine learning is a computer system which can feed large amounts of data, which is then used by the machine to learn how to carry out a specific task, such as understanding speech or captioning a photograph.

Neural networks

These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers.

These are two supplementary topics which need to understand with artificial intelligence. One more of AI research is evolutionary computation. This is basically natural selection and sees genetic algorithms undergo random mutations and combinations between generations in an attempt to evolve the optimal solution to a given problem. This approach has even been used to help design AI models, effectively using AI to help build AI.

ArtiďŹ cial Applications

ArtiďŹ cial intelligence has dramatically changed the business landscape. What started as a rule-based automation is now capable of mimicking human interaction. It is not just the human-like capabilities that make artiďŹ cial intelligence unique. An advanced AI algorithm offers far better speed and reliability at a much lower cost as compared to its human counterparts.

ArtiďŹ cial Intelligence in Healthcare

This is the most critical industry as it requires precision and accuracy. The biggest bets are on improving patient outcomes and reducing costs. Companies are applying machine learning to make better and faster diagnoses than humans. One of the best-known healthcare technologies is IBM Watson. It understands natural language and is capable of responding to questions asked of it. The system mines patient data and other available data sources to form a hypothesis, which it then presents with a conďŹ dence scoring schema.

ArtiďŹ cial Intelligence in Business

Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers. Chatbots have been incorporated into websites to provide immediate service to customers.

ArtiďŹ cial Intelligence in Education

AI can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers. It can ďŹ nd out the gaps and help in resolving them.

Artificial Intelligence in Finance

AI in personal finance applications, such as Mint or Turbo Tax, is disrupting financial institutions. Applications such as these collect personal data and provide financial advice. Other programs, such as IBM Watson, have been applied to the process of buying a home. Today, the software performs much of the trading on Wall Street.

ArtiďŹ cial Intelligence in Law

The discovery process, sifting through documents, in law is often overwhelming for humans. Automating this process is a more efďŹ cient use of time. Startups are also building question-and-answer computer assistants that can sift programmed-to-answer questions by examining the taxonomy and ontology associated with a database.

ArtiďŹ cial Intelligence in Manufacturing

This is an area that has been at the forefront of incorporating robots into the workow. Industrial robots used to perform single tasks and were separated from human workers, but as the technology advanced that changed.

About Me!!!!! I’am Anjuum Khanna. I’am an Indian Blogger, Writer and Tech Consultant. A strategic leader with a proven track record of over 19 years in spearheading profitable ventures within Fintech, eCom Startups, BPOs, Telecom & D2H, spearheaded domestic & Global Business Operations with large team sizes. Championed change mngt. & enterprise wise automation initiatives within organisations in India & Middle East. Presently working as Vice President at Mswipe Technologies. Visit Me:

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