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Human Resources in the Time of People Analytics
By People Analytics (or HR Analytics) is meant the use of data to advance how organizations make decisions about people, and help leaders operate based on evidence rather than intuition. Given the increasing availability and granularity of data on employees that has characterized the last decade, the interest of managers, consultants, and academics for the use of People Analytics in the management ...
A New Era of Lease Accounting
The new accounting standard IFRS 16 significantly modifies the recording of leases in financial statements, eliminating the distance between operating and finance leases, and requiring the recognition of right-of-use assets in the balance sheet, with the simultaneous recording among liabilities of the current value of the payment commitments assumed.#The shift to IFRS 16 has translated into a significant ...
Cost and Performance Competitiveness in the Construction Sector
The civil construction sector in Italy is going through a period of particular economic tension. Unlike in other European countries, over the decade from 2010-2019, the sector was unable to return to the levels prior to the 2008 recession, even touching volumes lower than those at the start of the millennium. In a mature, highly competitive sector with stagnant demand such as that of construction, ...
What’s Behind Artificial Intelligence?
According to various estimates, during the course of the next 10 years, the impact of artificial intelligence (AI) on global GDP will reach 15.7 trillion dollars. Although many of these evaluations are symptomatic of a sector subject to fads, the importance of AI has led the United States, China, and the European Union to draw up internal plans for development in this field.#Companies interested in ...
How to Create Value with the Data Economy
The true advantage of big data does not lie so much in the quantity of data recorded by a software or application, but in its ability to provide extremely detailed information on an individual. This distinctive element is the basis of the data-driven economy in which we are immersed. Big data is the fuel of the economy and scientific development, which is why it is necessary to guarantee access to ...
Data Scientists: Who They Are, What They Do, and How They Do It
An analysis of the data collected by the Kaggle platform for data science has shown that the figure of the data scientist is present uniformly in India, the rest of Asia, Europe, and North America, principally in the 25 to 34 age bracket; Python is the language largely preferred by data scientists; and the introduction into companies of models based on machine learning techniques is still very limited, ...
Skills, Ethics, and Safety in the Service of Health
More than in other sectors, artificial intelligence and machine learning in a clinical setting raise ethical and safety questions. It is thus necessary for healthcare organizations to invest in human resources so that doctors and healthcare professionals are competent in the use of software programs, as they are in prescribing drugs. Moreover, to guarantee safety and reliability, all artificial intelligence ...
HIT Radar: Application Focus - Finance
Cryptocurrency A cryptocurrency is a digital token whose creation is regulated by the blockchain technology, which also ensures the legitimacy of transactions conducted using that digital asset. Despite the humongous hype around cryptocurrencies, the real value of this technology is still unclear – due to the lack of mainstream services and real business cases. Cryptocurrencies are the first technology ...
Here Is the Pen, ChatGPT! Generative AI Put to the Test with Text
While in recent years Artificial Intelligence (AI) has proven to be capable of attracting the enthusiasm of companies, investors, and the general public, this power has accelerated even further in recent months. The symbolic date is November 30, 2022, the day when OpenAI released ChatGPT, marking the entry of the general public into what has been called the era of "Generative AI." The impact produced ...
Cybersecurity and Companies: If the Worst Virus is the Mentality
Today, one of the main weaknesses of the digital mirror is represented by cyber risks, which are defined as risks involving the loss of confidentiality, integrity, or availability of information, data, or information systems,[1] and which can generate potential negative impacts on organizations[2] (e.g., disrupting their daily operations). Every day, the number of individuals and organizations affected ...