Tata Power has started a trial of a smart energy management system with AI capabilities this month. The system will be tested on 55,000 residential and 6,000 commercial and industrial Mumbai clients during the pilot.
As part of this pilot initiative, Tata Power anticipates that its “Demand Response Program” would assist customers in minimizing electricity demand when energy-hungry air conditioners are turned on in the upcoming days.
These consumers, who are taking part in the pilot project, will receive information about the peak hour, the likely market rate, and the potential end time of the peak hour. Large office buildings, commercial complexes, and governmental organizations are also among these customers.
“The customers can defer the use of AC and switch it off during the peak hours and cool the room before the peak hour hits. By doing this, the load will come down. Also, we will be able to monitor these customers on how they optimized their use of electricity. We have proposed to provide a one-time incentive of ₹25 and ₹1 per unit saved by all those residential consumers who have participated in this pilot project,” said an official from Tata Power.
Mumbai’s power consumption is currently hovering between 2,800 and 2,900 Megawatts, and is anticipated to rise in the coming days. This method might be useful, especially with the anticipated increase in electricity use and rising temperatures.
Despite having long-term power purchase agreements, Mumbai’s power distribution companies are nonetheless forced to purchase from the open market because of the city’s growing demand.
At a recent event, Bill Gates, a co-founder of Microsoft, and UK Prime Minister Rishi Sunak answered a few questions generated by AI.
In an effort to welcome a new wave of green technology start-ups, Rishi Sunak and Bill Gates met with members of Cleantech for the UK on Wednesday at Imperial College London. They were interviewed by AI, and Downing Street posted a video of the interview on YouTube.
The two talked about innovation, technology, and artificial intelligence in the UK during their encounter. “How do you anticipate technology will effect the global economy and job market in the next 10 years,” AI’s first question to Mr. Sunak and Mr. Gates said.
Mr. Gates responded in a succinct manner. The benefactor claimed that the world needs to be more effective and gave the examples of a labour shortage, health care, and education. “Hopefully, technology like the one that generated this question can help us be more efficient,” he said.
“What is the one task you would like AI to do for you?,” the AI asked the two. Mr. Gates jokingly said that he might use the technology to make his notes a little more “smart” in response to this. Mr Sunak hilariously said, “I think if AI could do Prime Minister’s question time for me. That would be great.”
Tencent, the digital corporation behind the WeChat social media network and the largest company by market cap in China, is rethinking the approach to its metaverse offering and abandoning plans to release virtual reality hardware, thus laying off 300 employees.
The metaverse division of the Chinese computer giant is reportedly slashing costs in the face of deteriorating economic conditions and the wider challenges facing the cryptocurrency ecosystem, according to a Reuters article.
As part of its ambitious aspirations to develop virtual reality software and hardware, Tencent formed its “extended reality” XR branch in June, hiring 300 employees to make it a reality.
The company created a concept for a ring-shaped handheld game controller, but difficulties with profitability, internal forecasts indicated the XR project wouldn’t turn a profit until 2027. The significant investment needed to create a competitive product hindered its development and forced Tencent to change its strategy.
Tencent informed the 300 employees of the XR section on Thursday that there would be some personnel changes and that they had two months to find new internal or external opportunities.
In response to speculations that it was completely disbanding the XR unit, the company said that some business teams were being adjusted since its hardware development ambitions had changed.
As the advertising-based business that has long ruled the internet begins to fail, Facebook, the social network that was intended to be free “always,” and its stablemate Instagram introduced a premium subscription service on Sunday.
The launch of Meta Verified, a service that starts at $11.99 a month to authenticate one’s account, was announced by Mark Zuckerberg, the CEO of Facebook-parent Meta, on Sunday. This announcement follows a similar one made by Elon Musk about Twitter Blue. “This new feature is about increasing authenticity and security across our services,” Zuckerberg wrote in a statement posted to Facebook and Instagram.
This week, Meta Verified will debut in Australia and New Zealand before expanding to markets in the US and other nations. According to the corporation, subscribers will receive a badge indicating that their account has been verified with a government ID, additional protection against impersonation, easy access to customer service, and increased exposure.
To further boost your social media presence, you can explore popularitybazaar for Instagram services.
The social media giant stated that following a test phase, changes may be made to the service, which will primarily target content creators aiming to increase their presence on the platforms.
The company added that verified Facebook and Instagram profiles will stay the same and that only people who are 18+ would be permitted to subscribe. Businesses are not yet able to use the service.
According to a paper titled “The People of Cybersecurity” by professional recruiting services company Michael Page India, the Covid-19 pandemic has resulted in a significant manpower shortage in the cybersecurity industry.
As per the paper, there is now a 43% talent deficit in the cybersecurity industry, with the most in-demand skills in the Asia Pacific region being those related to threat intelligence, cloud security risk management, application development security, and data privacy and security. By 2025, there will likely be over 1.5 million employment openings in the sector in India.
“As companies continue emphasizing cybersecurity and heightened employee awareness, the focus on cybersecurity has increased more than ever. However, there seems to be a huge supply-demand gap, this has led to an increase in hiring for available positions on permanent or contractual basis,” said Varsha Barooah, Director of Michael Page India.
“The demand for roles such as Security Engineers, Cybersecurity Analysts and Cybersecurity Engineers is on the rise. India is expected to have over 1.5 million unfulfilled job vacancies in cybersecurity by 2025. The second highest in the APAC Region after China,” she added.
The pandemic and rising cybercrime serve to emphasize the need for experts to fill the gap. According to the research, Asia Pacific saw a 600% increase in cybercrime. India has experienced a substantial proportion of cyberattacks worldwide. Over the past year, numerous breaches have been reported, prompting businesses in the banking, financial services, and telecommunications sectors to invest in security.
Several businesses are updating their internal capabilities to handle this danger better, hiring professionals to manage their information security needs, or contacting cybersecurity organizations as service providers because they now lack the means to do so, said the paper.
Software testing is the process of identifying bugs inside any software and fixing them. It also ensures the quality of the software and checks whether it satisfies the market need before launching. Since every company requires software testers to check their software or product, there is an increasing demand for software testers. Software testers perform different types of testing, such as manual testing, automation testing, functional testing, non-functional testing, agile testing, and more. This article walks you through some of the required automation testing courses that can be useful for starting a career in automation testing.
1. Software Testing Tutorial
The Software Testing Tutorial course by GreatLearning is a free one-hour certification course that teaches you the software testing basics and different strategic approaches to testing. This course provides insights into the different phases of the software development life cycle (SDLC) and its different modes.
This course answers questions like what testing is and why testing is essential. In the later part of the course, you will understand the different levels of testing and how to document the development process in testing.
At the end of this course, you need to take the assessment test to test your knowledge and evaluate skills to get the complete certification of this course. This course has an extensive rating of 4.45 stars, and more than 50.5 thousand students have enrolled.
The Selenium Basics course on GreatLearning allows you to test web applications on various technologies like Java, .Net, and Ruby. This open-sourced selenium course allows you to understand the selenium basics better.
Selenium testing is the best option since it is simple to test various web applications. This selenium course starts with discussing automatic and manual testing. With this course, you can understand the purpose of implementing selenium with Python and the advantages and limitations of selenium testing.
The entire duration of this course is 1 hr approximately, where you get a completion certificate. It has an extensive rating of 4.42, and more than 5.4 thousand students have enrolled in this course.
This is another basic course in automated testing on GreatLearning. It uses Selenium with tools like selenium RC, IDE, GRID, and WebDriver. It guides you with these tools and selenium testing using Python programming language through getting methods, locators, and writing tests using PyTest. You can enroll in this course if you want to build a comprehensive knowledge of various software tools.
The extensive rating of this course is 4.28, and more than 3.4 thousand students have enrolled in it. The entire duration of this course is of 1 hr approximately, and you get a certification after completing it.
The Selenium Projects with Python is another essential course on the GreatLearning website. It is an intermediate course that can teach you to implement a mini project using selenium with Python. You can also learn to automate Whatsapp Bot using selenium and Web Scrapping an e-commerce website as a part of the top selenium projects.
The entire duration of this course is 1.5 hrs and has an extensive rating of 4.41. You can complete certification after completing this course, and more than 2.9 thousand students have enrolled.
The Selenium Automation Testing for Beginners course by Saurabh Dhingra on Udemy can teach you the basics of automation tools and their setup. You can also learn to identify web elements using locators and identifiers in Selenium Web Driver.
This course is suitable for any manual testing professional, fresh graduates looking to start their IT career, and professionals who want to start their career in automation testing.
It is recommended to have some basic knowledge of manual testing before starting this course. The entire duration of this course is 1 hr and 59 minutes, consisting of 4 sections and 13 lectures. This is a free course with an extensive rating of 4.1, and more than 17259 students have enrolled.
6. Getting Started with Automation Testing Using Selenium
This course on Udemy by Ganesh Sahai teaches you the flow of software testing, the role of automation testing, selenium IDE, selenium Grid, and selenium WebDriver. With this course, you can follow a way to become the selenium Test Automation Expert.
This course helps software testing engineers to get an introductory perspective on using selenium as an automation testing tool. The entire duration of this course is 1 hr and 10 minutes, which consists of 3 sections and 14 lectures. The chapters in this course contain test effort estimation, what, why, and how to test automation, introduction to selenium IDE, selenium WeDriver, and selenium Grid, and hands-on assignments. This course has an extensive rating of 3.8, and more than 41348 students have enrolled.
The Selenium WebDriver with Java for Beginners course by Dmitry Shyshkin on Udemy is the best course that teaches Selenium WebDriver with Java and TestNG. This course allows you to set up the automation framework through Selenium WebDriver.
In this course, you can use the TestNG features for better test structure and easy Selenium framework maintenance. This course teaches you to execute Selenium tests on different browsers. You can also learn to recognize different Selenium test failures and exceptions and how to fix them.
The entire duration of this course is 6 hrs and 39 minutes, consisting of 7 sections and 43 lectures. You do need to have some basic JAVA knowledge before starting this course. This course is suitable for anyone who wants to learn automation testing with Selenium WebDriver.
The Selenium Certification Training Course on Edureka helps you to master automation testing and become a certified Automation Tester. It covers various Selenium concepts such as Grid, IDE, WebDriver, handling IFrames, Model Dialog box, and Alerts.
With this course, you can use supported plugins like TestNG framework, Gherkin, Cucumber, and Robot Class to control your automation environment. You can also get hands-on experience with widely used automation frameworks like Data-Driven Frameworks, Hybrid Frameworks, Keyword-Driven Frameworks, and more.
This automation testing training is developed by top industry experts and enables you to work on real-life examples. This course teaches you core Java, web automation, browser handling, data operations, website testing, and Selenium WebDriver.
This Selenium certification Training by Career Karma allows you to master the complete Selenium suite. It is designed to train developers and manual testers to automate web applications with a robust framework.
This course also enables you to master important concepts such as Selenium IDE, TestNG, Selenium Grid, and Selenium WebDriver. With this course, you can use real-life examples to use the Selenium WebDriver effectively.
While going through this course, you can also get exposure to some other concepts such as core java concepts, the scope of test automation, test cases using Selenium IDE, and the automation framework.
This course suits test managers, test leads, test engineers, test analysts, quality assurance engineers, and software engineers. You need to have some basic Java knowledge before starting this course.
This automation testing course enables you to advance your career as a Test Engineer. With this course, you can learn the top skills demanded in the industry, like GIT, Selenium, Jenkins, and JMeter, to apply engineering to build quality products and software development processes.
This training program is developed to provide you with complete knowledge of software testing technologies like TestNG, Selenium WebDriver, Maven, Selenium Grid, AutoIT, Appium, and Docker to help you build a robust testing framework.
With this training program, you can learn core computer science concepts from leading industry experts through content structured to ensure industrial relevance. You can also build an end-to-end application and test it with exciting features. After completing this training successfully, you can earn an industry-recognized certification.
While going through this course, you can explore concepts such as Agile, Java, TDD with TestNG, AWS, JDBC, and API testing with Postman. This training course offers you hands-on training in software development, testing, and quality assurance technology skills that consist of phase-end and capstone projects based on real business scenarios.
Machine learning is the most widely used technology that enables machines to become more intelligent. One of the best ways to learn more about machine learning is through working on real-life projects. This article guides you with a list of machine learning projects for beginners, intermediates, and experts with source code to acquire in-depth knowledge and explore real-time datasets.
Machine learning projects for beginners
1. House Price Prediction
In this project, you can learn to predict the prices of houses by using the dataset with the XGBoost and the Linear regression algorithm. The dataset contains information about the house’s location, the house’s price, the house, square feet of the house, and more.
One of the most famous music apps, Spotify, always shows music that you may like. This app works by using machine learning algorithms. In this project, you will initially predict the possibility of the user listening to a song on a loop within a time frame.
When you talk about the recommendation system, there are mainly two types of recommendation systems, i.e., Content-based filter recommendation systems and Collaborative filter recommendation systems. Content-based filter systems give you a recommendation based on the similarity of the two songs’ contents or attributes. The collaborative-based filter predicts possible references using a matrix with ratings on different songs.
In this project, you can generate a content-based music recommendation system that uses a dataset of names, artists, and lyrics of 57650 songs in English obtained from Kaggle. This project also creates a collaborative filtering music recommendation system using the Million Song Dataset, which has a freely available collection of audio features and metadata for a million contemporary popular songs.
With this project, you can build a machine-learning model that will help to analyze how much loan the user can take. Different machine learning models like logistic regression, decision trees, random forest, and XGBoost are implemented in this project. The dataset used in this project consists of user information such as marital status, education, number of dependents, employment, and more.
The Iris flower dataset is the most widely used dataset for classification. It consists of three different flowers, such as Setosa, Virginia, and Versicolor, and each flower contains features like Sepal width, Sepal length, Petal length, and Petal width.
In this project, you can learn to train the Support vector machine and supervised machine learning models with the iris flower dataset. While implementing this project, you can explore more about machine learning, data visualization, model creation, data analysis, and more.
The wine quality prediction project is to build a machine-learning model to detect the quality of wines by using different chemical properties in the wine dataset. The wine dataset consists of 4898 observations with one dependent and eleven independent variables.
In this project, each wine in the dataset is given a quality score between 0 to 10. As a result, the output of this project is calculated as good when the score of wine is seven or greater than seven. The output is treated as bad-quality wine when the score is below seven. The wine dataset includes attributes like fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulfates, and alcohol. With this project, you learn to apply different classification methods to check the quality of wine and identify which attributes contribute more to detecting the quality of wines.
In this project, you learn to conduct a Market Basket analysis to predict consumer purchasing behaviors. The output of this project is split into three sections. The first section is to source, explore, and format a complex dataset suitable for modeling with recommendation algorithms. In the second part, you can apply various machine-learning algorithms for product recommendation and select the best-performing model with the help of the ‘recommenderlab’ package.
You can implement the selected model in a Shiny Web Application in the final stage. The online retail dataset consists of transactions occurring between 1st Dec 2010 and 9th Dec 2011 for a UK-based and registered online retail company. As per the principles of Market Basket Analysis, if a consumer purchases a group of items, that consumer is likely to purchase similar items as well. This complete idea is implemented in the Market Basket Analysis project.
In this project, the text summarization is performed while conserving its meaning. In this project, extractive text summarization employs a scoring function for recognizing and picking essential pieces of text from documents and compiling them into an edited version of the original text.
Abstractive text summarization uses high-level natural language processing techniques to build a new, shorter version that conveys the same information. For the implementation of this project, and you need to know about essential Python libraries like Numpy, Pandas, and NLTK.
Black Friday is celebrated on Friday following Thanksgiving Day in the United States on the 4th Thursday of November. The day after Thanksgiving is regarded as the start of the United States Christmas shopping season. Many stores offer highly promoted sales on Black Friday and open very early, like at midnight. The major challenge for stores or e-commerce businesses is to select the product price such that they gain maximum profit at the end of sales. This project determines the product price with the help of historical retail store sales data.
The dataset in this project is taken from the online analytics hackathon hosted by Analytics Vidhya. It consists of attributes such as marital status, gender, product categories, purchase amount, and city demographics. The dataset contains 12 columns and 537577 records.
Different supervised machine learning models like Linear Regression, Decision Tree, Random Forest, and XGBoost algorithms are implemented in this project. RMSE is used in this project as a way to measure the errors in the machine learning models.
Data scientists suggest learning different machine learning projects to diversify your knowledge. Therefore, this project will help you with different unsupervised machine learning algorithms by using the sales dataset of a grocery supermarket store.
BigMart sales dataset contains sales data for 2013 for 1559 products across ten different outlets in different cities. This project aims to build a regression model to predict sales of 1559 products for the following year in each of the ten different BigMart outlets. The BigMart sales dataset also contains specific attributes for each product and store. The machine learning model helps BigMart understand the properties of products and stores that play an essential role in increasing their sales.
Sales forecasting is one of the most common use cases of machine learning to identify factors that affect product sales and estimate future sales volume. This project uses the Walmart dataset of sales data for 98 products across 45 outlets. The dataset contains sales per store and department weekly.
This project aims to forecast sales for every department in each outlet to help them make good data-data-driven channel optimization and inventory planning. While working with the Walmart dataset, one challenge is that it consists of markdown events affecting sales. With this machine learning project, you can build the predictive model using the Walmart dataset to estimate the number of sales they will make in the future.
Neal Mohan, an Indian-American business expert, will take over as YouTube’s next CEO (chief executive officer) from Susan Wojcicki, who formerly worked for Alphabet.
With this promotion, Mohan will join an elite group of Indian-born global tech leaders that includes Sundar Pichai, the CEO of Google and Alphabet, Satya Nadella of Microsoft, Shantanu Narayen of Adobe, and Arvind Krishna of IBM.
As chief product officer, the new YouTube CEO had previously worked for Wojcicki. Prior to this, he represented the company on a number of talk shows, including the well-liked Lew Later (unbox therapy), where he discussed his upbringing and YouTube’s future objectives.
Mohan has an MBA from the Stanford Graduate School of Business in addition to a bachelor’s degree in electrical engineering from Stanford University.
Neal Mohan, an Indian-American CEO, started his career at Accenture, where he worked for around 1.5 years, according to a detailed examination of his LinkedIn profile. He then worked for DoubleClick, which led to his 2007 admission into Google. In time, he was promoted to SVP of Display and Video Ads.
Siemens, the largest industrial producer in Europe, declared that it is one of the first businesses to issue a digital bond in Germany in compliance with the nation’s Electronic Securities Act, which went into effect in June 2021.
According to crypto media reports, the €60 million ($64 million) bond has a one-year maturity and is built on the public Polygon blockchain. When announcing the agreement on Tuesday, Siemens highlighted a few benefits of using a blockchain platform as opposed to more conventional techniques.
For instance, it eliminates the need for central clearance and paper-based global certificates. Furthermore, the bond can be offered directly to investors without the assistance of a bank.
Peter Rathgeb, corporate treasurer at Siemens AG, said, we can conduct transactions substantially faster and more efficiently than when issuing bonds in the past by moving away from paper and towards public blockchains for issuing securities.
According to Siemens, companies can issue blockchain-based digital bonds under Germany’s Electronic Securities Act. Additionally, the Act claimed that without using recognised central securities depositories, it had marketed the securities directly to investors.
In keeping with their shared goal of equipping the workforce of the future with skills for the future, Shell and Microsoft recently launched a partnership to teach students in vocational education institutions digital capabilities.
The project’s goal is to equip 5,000 underprivileged adolescents from 24 government institutions with digital productivity and employability skills and to get them ready for careers in the energy and manufacturing industries.
The nature of work is evolving, and productivity is being redefined across all industries, thanks to emerging technologies. A solid understanding of digital skills is necessary for job tasks across industries that, in the past, did not normally call for them.
Students in trades other than information technology will be able to improve their job-related abilities thanks to the addition of a digital curriculum to the training provided in Industrial Training Institutes (ITIs) and polytechnics.
The program’s first phase will concentrate on raising awareness about digital employment opportunities across Karnataka, Tamil Nadu, Gujarat, Haryana, Delhi, and Maharashtra to enable livelihood opportunities for students in polytechnic fields, and ITI such as electrician, electrical engineering, and more.
Additionally, the effort will help these institutions improve their digital learning labs and increase faculty members’ capacity to maintain the program’s results. Each state will have the program implemented by SRF Foundation, which will also offer 240 hours of training that includes modules on data analytics and workplace sustainability.
