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Organisational culture JCBPPI GLOBSYN M & M ONGC 1.UNIQUENESS The culture at JCBPPI is marked by unique characteristic of "Sense -Of - Urgency' that prevails seamlessly through entire JCB Group. Globsyn strongly believes in 'Taking People to the Next Level'. Globsyn is a problem solver with an unwavering passion for performance. The unique aspects of culture in the organization is philosophy of 'Rise'. Three important pillars Of Mahindra & Mahindra's culture is 1. Alternative thinking 2. Driving positive change, and 3. Accepting No limits. creativity and out of box thinking is the foundation upon which culture of ONGC prevails. 2.Changes to be made Need for a unique customer centric culture that shall be very different from JCB culture as a market leader organization as the Head Office is now. Need for an employee centric culture in order to increase the satisfaction level of the employees and the organisation has adopted this change too. No changes required to be made as they continuously work on bringing and adopting positive changes to increase the level of efficiency. Need to empower, act as a global thinker and provide opportunities for initiatives creativity and innovation. 3.Organisational set up Informal Set Ups Dominate. 90% of the work in and b/w departments is done on telephonic / direct meeting basis and mails and memos are limited to those absolutely necessary to record keeping. Informal Set Ups Dominate. More than 70 % of the work in and b/w departments is done on telephonic / direct meeting basis and mails and memos are limited to those absolutely necessary to record keeping. Mix of formal and informal set ups prevail. As per the requirement of the scenario, formal rules are followed and for routine work they show little endeavor to go on writing work and prefer oral communication. Highly formalized and organized set ups. Proper written communication is followed in order to perform the tasks of the organisation. Circulars, notice

What is Decision Tree in Artificial Intelligence .. Decision tree AI is a form of artificial intelligence (AI) that is used to classify objects or elements according to specific criteria. It is based on a set of algorithms which help to make Decisions or predictions on the basis of data sets or statistical modelling. The Decision tree AI algorithms are used to analyse data and determine the best course of action.

Dividend decision refers to the policy that the management formulates in regard to earnings for distribution as dividends to shareholders. Dividend decision determines the division of earnings between payments to shareholders and retained earnings .

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Decision tree AI is a form of artificial intelligence (AI) that is used to classify objects or elements according to specific criteria. It is based on a set of algorithms which help to make Decisions or predictions on the basis of data sets or statistical modelling. The Decision tree AI algorithms are used to analyse data and determine the best course of action.

A major part of using decision tree AI is having a clear understanding of your data. It's important to know what data points are required in order to make informed decisions and patterns. Once you have an understanding of what data is required, you can begin creating a decision tree.

Decision Tree in AI: Introduction, Types & Creation .. Decision trees in AI have many advantages as a machine learning technique and are widely used to learn models from data. However, there are certain challenges and limitations that must be taken into account when using Decision trees for AI.

What is a Decision Tree .. Decision trees are a powerful tool used in artificial intelligence (AI) to solve complex problems. Their use is based on the top-down approach of divide and conquer, which breaks down larger problems into smaller parts. This means that Decision trees can process data and interpret it in nonlinear patterns, allowing for more accurate problem solving.

A CASE STUDY on AIR FLY AIRLINES Merger issues leading to failure of Industrial relations Critical Incidents - strikes, employee separation, Retrenchment Voluntary retirement and revenue losses. Major Stakeholders - Employer, Management, Trade Unions, Employees, Labour & Government Abstract With the transformations and gradual change in business environment, the Industrial Relation system has seen a vast change over a period of time, due to which, the role of employer and employees have become more tough and challenging. Of all the human resource management problems that have occurred in the Indian Airlines Industry in recent times, the problem of Industrial Relations is the most critical. The reason behind this is the fact that Industrial Relation deals with people who are foundation of the Industry. Their action or counter reaction matters a lot for the Industrial Harmony of the economy country. Harmonious Industrial Relations are pre-requisite for economic development of a country. Success and growth of the Airlines Industry depends on cordial relationship between the employers and the employees. The Objective of this case study is to examine the "Industrial Relations in Airlines Industry in India: "A Case Study of Air Fly Airlines". Research in this field can be of practical utility to all those involved in Industrial Relations scene like management, employees and the government. Success of the Airlines Industry depends on cordial relationship between the employers and the employees. This study assesses the state of Industrial Relations in the Airlines Industry and also identifies the factors that affect it. The case study also proposes to redefine the pattern of Industrial Relations in Airlines Industry by suggesting some changes in the role of various stakeholders such as employer, management, union and government. Introduction Indian industrial enterprises are hugely affected by disinvestments, privatization, restructuring and takeovers which,

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One of the three bookmarks on my profile which the Diigo system has repeatedly changed from public to private, against my wishes. See: http://groups.diigo.com/Diigo_HQ/forum/topic/censorship-on-diigo-this-would-be-a-problem-48649

Comment: One of the three posts from my bookmark page that the Diigo system (or somebody at Diigo) keeps changing from public to private. See: http://groups.diigo.com/Diigo_HQ/forum/topic/censorship-on-diigo-this-would-be-a-problem-48649 As you can see, nothing in this post justified this sort of censorship. The post follows, verbatim: "Law that is good in principle, applied without the use of common sense or basic logic. One of the reasons why underaged teens aren't allowed to consent to model nude - without parental consent, and there are issues enough in that to justify a whole other post - is because children are believed to lack the mental capacity to fully understand the decisions that they are making. Yet now they are to prosecuted for making those very same decisions on their own, as if they were competent adults who had preyed on incompetent children, luring them into decisions their victims might later regret, leaving us with a pick and mix in which the teens are regarded as being both competent and incompetent at same time, the state they are to be viewed as being in depending on the needs of the argument under which they are to be imprisoned at each given point. Doublethink a la Orwell being used as a basis for Law, as the underaged are put in danger of sent to prison (where they are likely to be raped) using a law designed to protect them from a form of sexual exploitation."

Decision trees in AI have many advantages as a machine learning technique and are widely used to learn models from data. However, there are certain challenges and limitations that must be taken into account when using Decision trees for AI.

Decision trees are a powerful tool used in artificial intelligence (AI) to solve complex problems. Their use is based on the top-down approach of divide and conquer, which breaks down larger problems into smaller parts. This means that Decision trees can process data and interpret it in nonlinear patterns, allowing for more accurate problem solving.

MACHINE LEARNING DECISION TREE CLASSIFICATION ALGORITHM .. As artificial intelligence continues to become increasingly advanced, the implementation of DECISION tree AI is becoming more common. ​​​​​​​Data Science Registration - IBM Certificate

Decision Tree in artificial intelligence is the foundation for numerous classical machine learning algorithms like Random woodlands, Bagging, and Boosted Decision Trees. They were first introduced by Leo Breiman, a statistician at the University of California, Berkeley. His idea was to represent data as a tree where each internal knot denotes a test on an attribution ( generally a condition), each branch represents an outgrowth of the test, and each splint knot ( terminal knot) holds a class marker.

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