Skilled employee retention is a key factor in business achievement since the job market is in constant change nowadays. Predicting when employees may resign now can be as true as it seems by using artificial intelligence technology.
A dedicated tool for AI support was developed by Japanese researchers to help businesses with worker retention through personalized solutions. It is a tool that analyses several data facts, like login records, individual information on age as well as gender, and previous staff turnover in the company.
Created by the associate professor of Tokyo City University, Naruhiko Shiratori, and the on-site start-up team, this AI tool does more than just do mathematics. It generates a customized retention model for each company, and then it determines the probability of new hires departing their jobs.
The true value of this AI-powered tool is that it suggests ways to fix the problem before it becomes a major issue. Rather than blind managers with raw quantities, it generates understandable that managers can use. For example, the company can take a preventive approach and offer the at-risk employee tailored support that meets his/her exact needs and may be the reason why they will not leave the company.
Building on the foundation of AI for predicting University student dropouts, the researchers keep making corrections to the tool. They will continue to improve it to be able to not only the selection of workers but also the recommendation of suitable positions for new workers concerning their characteristics, personal history, and performance in job interviews.
The problem of employee turnover in Japan is high, where big firms usually hire lots of graduates in one go. The information generated by the government indicates that about 10 percent of new employees leave their current jobs within one year whereas around 30% depart from their jobs within three years.
Companies can mitigate, reduce risks, and at the same time build a more stable and productive workforce by tapping into the power of AI. With technology getting more sophisticated day by day, it remains a powerhouse of ideas to introduce some of the new ideas in workplace retention methods.
Are Deepfake Videos Posing a Threat to Political Integrity, as Highlighted by Ranveer Singh
There’s a huge headline that ripped Bollywood actor Ranveer Singh, and he brings up the problems associated with deepfake technology after a deepfake video of him criticizing a political party launched online. Such an incident occurred after deep fake videos with Aamir Khan were broadcast, increasing the discussion about whether the artificial intelligence is being misused to spread fake news, especially concerning in the Lok Sabha elections.
The miscreated video with Ranveer Singh criticizing BJP government and PM Modi in it was also shared. Despite this, it was later to be unveiled that the video was made through human copying of the actor using AI voice cloning. This movie which lasted less than five minutes spread across social media with incredible speed to add fodder to the pool of false information.
Not only Ranveer Singh’s picture but the footage as well which made the video fake was picked up from Ranveer’s recent visit to Varanasi for a fashion show. The visit of the Indian Prime Minister also happened to highlight the social and cultural richness of the city as the Prime Minister heaped praises on the city and congratulated the efforts made in public infrastructure. Meanwhile, the human words were placed in another frame to act it out as the false video.
Ranveer Singh, though not directly on the subject matter, still used social media to raise the issue, implying that the fake videos deepfake prompts. The CEO brings it to the forefront that deepfake technology is becoming a pioneer in the dissemination of misleading news as well as the establishment of false information in particular at the time of elections.
It shakes my senses as a wake-up call that involves prudence, a deeper understanding, and wise decision-making should be applied when using the internet. Advancing deepfake technology is increasingly turning media into false and misleading. The only solution is to be mindful and trust the things that are found online.
With technology evolving, and technology platforms further and further, one of the most crucial steps to detect and combat deepfake spread is machine learning and techniques implementations for individuals. By raising awareness and fostering digital literacy, we can collectively mitigate the risks posed by this emerging threat to our digital landscape.
DeepMind to Supercharge AI Development? Google Merges Research Teams
Google has recently decided to make a challenging reorganization of its AI research and development departments into one team under the branding of DeepMind. This major step seeks to ease the development processes and further advance the AI technologies of Google.
Sundar Pichai, the CEO of Google, insists that this consolidation helps DeepMind to build key models that are the source of various needs in Google fields. As a result, other Google units will find the only shortcut on their way to accessing those models. Google’s ability to synthesize both expertise and resources enables the company to become a frontrunner in the delivery of state-of-the-art AI applications to users, partners, and customers.
Pichai mentioned that now, Google Research will concentrate on the discoveries dealing with computing systems, machine learning algorithms, and applied physics. Achieving such discoveries is the foundation of future technological breakthroughs and progressions.
Also, not only integrating AI but deepening AI research, Google is moving its Responsible AI teams from Research to DeepMind. The purpose behind this step is to build a design feature where the development and implementation of AI are in tandem with responsible AI practices, such as precision, transparency, and trustworthiness of AI.
Nevertheless, DeepMind does not mean to comprise the entirety of the research team. As part of the company’s effort to develop next-generation mobile and hardware products, the teams working on computational imaging and on-device intelligence will be brought together with the newly formed Platforms and Devices Group which has combined Google’s Android and hardware divisions under the leadership of Rick Osterloh.
From over, the overall objectives of Google‘s reorganization reflect its intention to push diverse AI technology developments while at the same time keeping an eye on responsible innovations. The focus of Google on the centralization of AI research and development by achieving collaboration across teams is among the key factors that enable it to stay ahead of the curve in AI-driven innovation and provide relevant and remarkable solutions to its customers and users.
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