Artificial Intelligence (AI)

FUTURE OF HUMAN

Artificial intelligence (AI) and automation will impact the future of work

Automation will have a major impact on the nature of work in the coming decade.We are all familiar with the transport revolution where self-driving cars are now a question of "when" not "whether."robotics, 3D printing, and big data will change the nature of many different types of jobs in ways that we can already anticipate and in ways that we cannot even imagine today.Large numbers of jobs could be impacted by disruptive technologies.It is suggested that 47% of all jobs in the UNITED STATES could be eliminated or significantly changed  by computerization and intelligent digital technologies compared to 57% in OECD countries, 69% in INDIA, 72%  in THAILAND, 77% in CHINA, and 85% in ETHIOPIA.They also point out that is "Activities" that can be automated not "occupations." This is certainly true but it still means that many occupations will be transformed because the activities that comprise them will be eliminated or radically changed.Therefore, it is important not to argue about the potential magnitude of the impact and instead to anticipate possible challenges that technology will create for human workers and ways in which the development community can help mitigate negative outcomes.DI

Robotic process Automation...,

RPA refers to the functioning of corporate processes due to the mimicking human tasks and automate 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.

Robotic are entities that mimic human actions are called Robots.

Process is a sequence of steps that lead to meaningful activity.For example, the process of making tea or your favorite dish, etc.

 

            Automation is any process that is done by a robot without human intervention.

 

DATA has been in existence for ages NOW

 

In the era of 2.5 Quintillion bytes of data being generated every day, data plays a crucial role in decision making for business operations.But how do you think we can deal with so much data? well there are several roles in the industry today that deal with data to gather insights, and one such vital role is of a Data Analyst. A data analyst requires many tools to gather insights from data.This article on the Top Data analytics Tools will talk about the top tools that every budding data analyst to a skilled professional must learn in 2020.

Splunk

Qlikview

Talend

Apache spark

Power BI

Knime

Microsoft Excel

Python

Tableau

RapidMiner

The recent growth in computer architecture has changed the face of science and engineering.This growth is so fundamental that it is dramatically reshaping relationships among people and organizations and providing a foundation for understanding and learning of intelligent behavior in living and engineered systems. Is this growth beneficial to our society and how the medical facilities, police departments,and manufacturing plants have all been changed by this, are such questions of the general public which are due to the lack of education concerning rapidly advancing technologies.This paper attempts to present an overview of artificial Intelligence (AI). A generally accepted theory that "machine will do and think like humans more in the future" is the concept behind AI.Brief literature of different aspects by which AI is achieved like expert system, knowledge based systems (knowledge engineering),neural networks, fuzzy logic, neuro fuzzy logic and fuzzy expert system, is included in order to have a clear understanding of AI.

Artificial Intelligence Computational models of human behavior?. Programs that behave (externally) like humans One thing it could be is "Making computational models of human behavior". Since we believe that humans are intelligent, therefore models of intelligent behavior must be AI. There's a great paper by Turing who really set up this idea of AI as making models of human behavior. In this way of thinking of AI, how would you proceed as an AI scientist? One way, which would be a kind of cognitive science, is to do experiments on humans, see how they behave in certain situations and see if you could make computers behave in that same way. Imagine that you wanted to make a program that played poker. Instead of making the best possible poker-playing program, you would make one that played poker like people do.