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Jetpack 1.0: Artificial Intelligence and Automation in HR - Coursemetry

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Note: 4.6/5 (106 notes) 28,948 students Welcome to experience "Jetpack 1.0″. Today, we are seeing an increasing number of applications of AI-based solutions across fields like eCommerce Marketing, Personalised Recommendations, Targeted Marketing, Finance Industry, etc. Artificial Intelligence (AI) seemed to be a distant reality for the HR function, until today. Artificial Intelligence (AI) usage for Human Resources (HR) seemed to be a narrative similar to every support function across organizations across India and the world. Welcome to experience "Jetpack 1.0: Artificial Intelligence and Automation in HR" – an incredible topic as part of the series that is created by Digital Marketing Legend "Srinidhi Ranganathan", Mastermind "Saranya Srinidhi" and Marketing Expert "Sai Manoj". "Jetpack 1.0" is going to change the old ideas of following traditional HR processes and functions.


IIT Roorkee Offers 5-Month Online Course on Data Science & Machine Learning

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The Indian Institute of Technology (IIT), Roorkee is offering a five-month online course on data science and machine learning (ML). The course is conducted by Imarticus Learning in association with iHUB DivyaSampark to enable candidates to leverage data Science and ML for effective decision-making. Prof Sudeb Dasgupta, project director of iHUB DivyaSampark said in a press release, "We bring iHUB DivyaSampark's expertise in building outstanding programs with IITs and Imarticus' technical expertise to deliver an outstanding learning experience through a holistic approach. Together, we envision creating a skilled workforce for innovation and digital growth." For more information, go through the brochure.


How new-age tech courses and careers are redefining the future of jobs

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New-age careers like cloud reliability engineer, Artificicial Intelligence (AI) architect, malware analyst, digital transformation specialists and many others have taken the job market by storm. These choices have been fuelled by tech courses like Data Science, DevOps, Cloud Computing, AI and and Machine Learning, Cybersecurity resulting in a huge demand for online certifications from ed-tech platforms who have collaborated with distinguished educational institutions. But is this change here to stay and what is its impact? The online education market is expected to touch Rs 360 billion by 2024, up from Rs 39 billion, according to a recent report by data firm'Research and Markets.' With a futuristic approach, DevOps as a system encompasses everything from organization to culture, processes, and tools and its adoption is growing rapidly.



Artificial Intelligence: A game-changer for the Indian Education System

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With the rapid advancement of technology, Artificial Intelligence (AI) has become one of the key aspects of growth and innovation across industries. It is thus imperative that the youth is made familiar with the basic concepts of AI from their childhood. In fact, it looks like the process has already started. Madhya Pradesh government had recently announced the introduction of an Artificial Intelligence course for students from class 8. Chief Minister Shivraj Singh Chouhan had said that this is going to be the first such initiative in the country. India has always advocated for universal learning, and Artificial Intelligence constitutes an integral part of that.


Artificial Intelligence: A Technology Bridging the Education Gap

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The Indian education system has started reaping the benefits of advanced technology, artificial intelligence, to improve multiple weak sectors in 2022 such as determining the rate of school dropouts, using personalized education through apps, and the estimated number of people using AI education apps, and different kinds of AI apps. Thus, it is highly beneficial to keep a count on different aspects to provide better education and the future to Indian students efficiently and effectively. According to the Analytics Insight survey, 46% of the respondents thought that AI can determine school dropout rates in India while 24.4% did not consider it a viable option. Meanwhile, only 29.3% were in a neutral state by stating that maybe AI can do this function efficiently. Out of 241 respondents, 65.9% considered that artificial intelligence can increase the effectiveness of personalized education while 31.7%


Why diversity in AI remains a challenge and how to fix it

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Each year that passes sees artificial intelligence (AI) integrating even further into major institutions. It is set to contribute $15.7tn to the global economy by 2030, which exceeds the current output of China and India combined. This game-changing technology is becoming increasingly embedded in our daily lives, from the devices on our bodies that measure our heart rates to those in our home that play our music. With AI poised to play an increasingly important role in society, further regulations are likely to be introduced worldwide. Over the past five years, more than 60 countries have developed over 700 AI policy initiatives.


Telangana: AI to aid Govt schools in formative assessments

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Hyderabad: Select Government school complexes (a cluster of high school, middle and primary schools) in the State may soon get to use some artificial intelligence based tools that will automate a few of the time and resources consuming processes like formative assessments, marking attendance, logging mid-day meals data among others. They will even be put to use to teach English and later other languages too. These artificial intelligence-based tools will be implemented in select school complexes in Moinabad as a pilot project through the Prof Raj Centre at IIIT-H, which is working to create artificial technologies and technology solutions for the grassroots. A team from the IIIT-H had initial meetings with select school complex head masters, resource persons and officials of the Education Department to understand problems at the grass-root level. "We plan to meet the concerned people once again and make specific plans for the technology interventions possible. We want to keep the technologies ready for the coming academic year. These will be short term projects of three to six months that aim to address the issues at the earliest," said Ramesh Loganathan, Co-Innvation Professor at IIIT-H.


How schools in India are integrating AI in their curriculum

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To prepare the future workforce to live and thrive in a society where this piece of technology is so fundamentally ingrained, several schools are now offering age and level appropriate training in artificial intelligence. Leading education body CBSE has taken the lead in introducing AI in the school curriculum. They have developed an integrated curriculum, and AI as an elective subject is already being implemented in classes 8-10. Other schools, particularly the ones affiliated with the International Baccalaureate (IB), have also been proactive in giving their students ample exposure to AI. Analytics India Magazine spoke to a few school principals and heads to understand the trend better. Many educational institutions, including Kendriya Vidyalayas, teaching CBSE syllabus, have already introduced AI to their students.


Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning

arXiv.org Artificial Intelligence

Network virtualization (NV) is a technology with broad application prospects. Virtual network embedding (VNE) is the core orientation of VN, which aims to provide more flexible underlying physical resource allocation for user function requests. The classical VNE problem is usually solved by heuristic method, but this method often limits the flexibility of the algorithm and ignores the time limit. In addition, the partition autonomy of physical domain and the dynamic characteristics of virtual network request (VNR) also increase the difficulty of VNE. This paper proposed a new type of VNE algorithm, which applied reinforcement learning (RL) and graph neural network (GNN) theory to the algorithm, especially the combination of graph convolutional neural network (GCNN) and RL algorithm. Based on a self-defined fitness matrix and fitness value, we set up the objective function of the algorithm implementation, realized an efficient dynamic VNE algorithm, and effectively reduced the degree of resource fragmentation. Finally, we used comparison algorithms to evaluate the proposed method. Simulation experiments verified that the dynamic VNE algorithm based on RL and GCNN has good basic VNE characteristics. By changing the resource attributes of physical network and virtual network, it can be proved that the algorithm has good flexibility.