Sign in

Featured Categories

Uncategorized

How Data Science Training in Pune Prepares You for AI, ML, and Big Data Roles

by

Data is the new oil. It’s valuable, but if unrefined it cannot really be used.” — Clive Humby So, rightly said. Data is the new oil for businesses. But you cannot use this oil without! Raw data is nothing but clamor. You need actionable insights to make the change. This is where data science steps in. By turning data into insights, it helps the business world drive worthwhile innovations across technologies like AI, ML, Big Data. However, innovations demand expertise and a profound understanding of the use of data into AI, ML and Big Data roles. So, how do you build that expertise? The answer is data science training in Pune. Training yourself in data science prepares you for various roles in AI, ML and Big Data, unlocking remunerative opportunities in these technologies. Let’s see how. Solid Foundational Understanding Understanding the bedrock is essential before you graduate to the advanced aspects. Pune’s data science courses typically begin by strengthening the basics, including statistics, algebra, probability, and calculus. These are part of the mathematical language that underpins every AI and ML algorithm.  Therefore, the classes help deepen your understanding of what an algorithm does. Instead, you understand why it works, making you a better problem-solver. Tailored Comprehensive Curriculum Another highlight of the data scientist course in Pune is its customized curriculum.  Thus, data science institutes in Pune offer courses that include crucial data science concepts like data visualization, data wrangling, statistics, and ML algorithms.  Those pursuing AI learn neural networks, deep learning, and Natural Language Processing (NLP). On the other hand, Big Data encompasses technologies such as Spark and Hadoop, as well as real-time data processing.  So, the syllabus covers essential subjects about ML, AI, and Big Data. Experience with Real-World Datasets Working on real-world datasets helps you gain a first-hand, practical understanding of how things work in the industry. The exposure helps you gain insights into the various types of problems you will confront in AI, ML, and Big Data roles. Additionally, you learn how to use different tools like R, Python, and SQL to solve those challenges. Essentially, while strengthening your practical experience, working on real-world datasets helps you polish your problem-solving skills. Practical Exposure to Tools and Technologies Data science classes in Pune also ensure you receive exposure to a broad array of industry-standard tools. These include Keras, Apache, TensorFlow, Spark, and Hadoop. These tools are in substantial demand across AI and Big Data roles. Therefore, training with a reputable institute with a credible data science course in Pune helps you earn a competitive edge while applying for ML, Big Data, and AI roles. Seasoned Industry Trainers Recognized data science classes in Pune usually employ experienced trainers who’ve spent years in the industry and shouldered diverse responsibilities in AI, ML, or Big Data. These experts are also professionals who’ve worked on different projects and have earned global exposure in their respective domains.  While training students in technical concepts, these trainers share their experiences and explain concepts through simple, relatable analogies. In other words, they adopt a student-centric approach that helps simplify and enhance the learning experience. Nowadays, specialized roles are in more demand than ever. Companies constantly look for experts who specialize in a domain to derive optimal value from their expertise. Data science training in Pune serves this purpose. It offers custom training programs that address the needs of specific career tracks. For instance, if you are aiming to become an Artificial Intelligence engineer, you can focus on neural networks and deep learning. On the other hand, if you want to become a data architect or data engineer, you can focus on courses that cover distributed computing, data infrastructure, and large-scale data processing. These specialized training modules or programs help you acquire in-demand skills. Such a specific training approach can help unlock new and remunerative career paths.  Industry Projects and Internships Industry experience, whether through projects or internships, is valuable to your career. These projects simulate the tasks you’d be working on as a professional in the field of AI, ML, or Big Data. They may involve working on assignments that involve predictive modeling, fraud detection, recommendation engines, etc.  However, while offering real-world industry exposure, such internships and projects also help you broaden your network. Who knows, a company with which you intern may be impressed with your work and offer you a job in its system! Brimming with Enthusiasm for a Career in AI, ML, or Big Data? Well, you should be! That’s because India alone is set to generate over 2 million jobs in AI in the next couple of years. So, this is the right time to prepare for them! And the place to begin training and preparing yourself for opportunities in AI-ML and Big Data is Ethan’s Tech. Yes. We are a one-stop point that offers data science classes in Pune.  Our courses are meticulously designed and curated to ensure aspirants learn what the industry expects. So, whether you are a fresher or a seasoned professional looking for a fruitful career transition, our data science course in Pune enables you to enter the field of AI, ML, or Big Data. Want to explore more about our data scientist course in Pune? Call us at +91 95133 92223 and connect with our experts to navigate the course details.

Ethans Tech Partners with E&ICT Academy, IIT Guwahati for Advanced Certification Programs

by

Ethan’s Tech in partnership with E&ICT Academy IIT Guwahati are set to provide advanced certification programs in Pune. This partnership is a game changing landmark in Pune’s educational journey as Ethans Tech becomes the first offline training institute to be sponsored by E&ICT IIT-G’s advanced certifications in Cloud Computing, Data Science and AI, Data Analytics and Full Stack Development.  A Pioneering Collaboration  Ethans Tech’s alliance with IIT Guwahati’s E&ICT Academy represents a significant step in enhancing the standard of Technology education in Pune. They help in providing globally recognized certification programs to students and professionals paving the way for advanced careers. This move opens a new page of quality education in the region. Advanced Certification Courses Offered  The certification programs provided through this partnership cover a range of high-demand courses:  Data Science & AI: The course aims at preparing the students to apply the relevant skills in the analysis of data and the design of artificial intelligent solutions.  Data Analytics: Deals with the ways of achieving analytical goals and applying them to real-life situations for making efficient business decisions.  Cloud Computing and DevOps: Equips students for administration of infrastructures and platforms in the cloud along with the deployment of DevOps principles to software development.  Python Full Stack: Offers detailed tutorials on basic and advanced aspects of Python and the extent of its uses.  Ethans Tech: Leading The Way In Pune It is noteworthy that Ethans Tech is the only offline institute in Pune that provides the certification of E&ICT, IIT Guwahati in these emerging fields. This achievement shows that Ethans Tech always strives to offer the best education and training that will meet the required standard. Value Of E&ICT, IIT Guwahati Certification IIT Guwahati is a top technology and science institute in India, known for its high academic standards and innovative research. Its certification is highly regarded and recognized globally. Academic Excellence  E&ICT Academy, IIT Guwahati is one of the most acknowledged institutes for having strict educational criteria. It is rigorous and developmental, aimed at covering all areas of study in a subject ensuring that students not only master theoretical knowledge but also gain demanding skills. The certification programs are earned in collaboration with technical and industry specialists ensuring content is updated and relevant. Industry Relevance  Certifications in the industry are merit-based, meaning they are awarded based on the individual’s performance and mastery of the subject matter. The E&ICT IIT Guwahati certification programs ensure relevant courses to meet the demands of modern industry as the courses are prepared by professionals. This makes a course relevant in ensuring that students master skills that they can apply directly in their day-to-day practices. For instance, in the Data Science & AI, Data Analytics, Cloud, and DevOps, or the Python Full Stack fields, the material is taught based on the modern instruments, practices, and approaches used in the industry.  Enhanced Employability  An E&ICT, IIT Guwahati certification certainly helps candidates to be in a much better position in the job market. Employers understand the rigorous training and comprehensive knowledge of curriculum and mastery of these concepts. This vision implies that graduates should be well-trained personnel who can be productive and effective from the first day at work. This recognition results in better job offers, higher starting wages, and quicker promotions.  Prestigious Alumni Pool  The students after they complete their course in E&ICT, IIT Guwahati, become a part of a prestigious alumni network that is spread all over the globe in various organizational capacities. This network offers great possibilities for impersonation and career growth together with meeting professionals, peers, and mentors. Such a community can provide privileged access to certain jobs and projects – that’s a strong motivation to join one.  Continuous Learning and Development  There are multiple assessments during the course and there is a job readiness test. Only after completing all assessments and getting a minimum of 50% on the job readiness test will the student be eligible for certification. The certification programs are more than a credential. It focuses on building knowledge throughout a person’s career. The students are encouraged to undertake research, internment, and projects that enhance their knowledge in the area of specialization and experience. It can also be seen that focus on continuous learning guarantees that graduates remain close to their industries and are ready to approach new technologies and innovations as soon as they come up.  Conclusion It can be concluded that the value of an E&ICT, IIT Guwahati certification is valuable for students and employed individuals. It is a sign of success and is recognized all over the world and provides a way to all kinds of employment opportunities. The academic curriculum is supplemented by the industry-based relevant content and practical experience that graduates require in their careers. If anyone is interested in sharpening their knowledge and climbing up the ladder of their respective careers then it can be beneficial to attain certification from E&ICT, IIT Guwahati through Ethans Tech.

How to Start Career in Machine Learning in 2024

by
machine learning classes in pune

Are you intrigued by the world of machine learning and artificial intelligence, but find yourself unsure of where to start your journey to become a machine learning engineer? Fear not! At Ethan’s Tech, we’ve crafted a guide to help you navigate the exciting and rewarding path to this in-demand tech career. Unlocking the Power of Machine Learning Machine learning, a captivating branch of artificial intelligence, revolves around predicting and adapting outcomes as more data is received. The demand for machine learning professionals has surged, making machine learning engineering the fifth most in-demand job of 2023 and now in 2024 But what exactly is machine learning? It’s the art of using algorithms to interpret data in a way that mimics human learning. From video surveillance to facial recognition on your smartphone, machine learning is everywhere. Businesses leverage it to understand consumer patterns, tailor marketing campaigns, and enhance user experiences on platforms like Meta and Amazon. What is the Role of a Machine Learning Engineer? At the heart of the data science team, machine learning engineers play a crucial role. They research, build, and design artificial intelligence, ensuring the continuous improvement of machine learning systems. As communicators between data scientists and system operators, machine learning engineers are essential collaborators in the development and maintenance of AI systems. Their responsibilities include implementing machine learning algorithms, conducting AI system experiments and tests, designing and developing machine learning systems, and performing statistical analyses. Thriving Job Outlook of Machine Learning in 2024 As we enter 2024, the computer science field is experiencing robust growth, with a projected 23 percent increase in information and computer science research jobs through 2032. Industry Recognition: In 2023, machine learning engineers secured a spot among the top 10 jobs, reflecting the ongoing expansion in machine learning and artificial intelligence. Continued Demand: The trend of high demand for machine learning professionals persists into 2024, showcasing sustained interest in this dynamic field. Digital Landscape Opportunities: The ever-expanding digital landscape creates exciting prospects for professionals with expertise in cutting-edge technologies. Pivotal Role: Machine learning engineers play a crucial role in the ongoing technological revolution, contributing to innovation, enhancing decision-making, and optimizing operations. Architects of the Future: Professionals in machine learning are not merely job seekers; they are architects of the future, driving transformative developments in the fusion of artificial intelligence and machine learning. Opportune Time: With demand remaining high, 2024 presents an opportune time to embark on a career in machine learning, offering a gateway to a future where innovation and expertise are pivotal for success in the ever-evolving tech landscape. Lucrative Salaries in Machine Learning As of 2024, the field of machine learning engineering not only offers a fulfilling career path but also comes with attractive financial rewards. Salaries for machine learning engineers have continued to soar, reflecting the high demand for their specialized skills and expertise. Industry Standard: On average, machine learning engineers command impressive salaries well above the national average. As of the latest data in 2024, the average annual salary for a machine learning engineer is estimated to be around ₹1.3 crore, showcasing the financial allure of this profession. Top Companies: Leading tech giants remain at the forefront of offering competitive salaries to attract top-tier machine learning talent. In 2024, companies such as Google, Facebook, Amazon, and Microsoft are known to offer salaries significantly exceeding industry averages. Google: Machine learning engineers at Google are reported to earn an average salary of ₹1.5 crore per year, with additional bonuses and benefits. Facebook: Facebook, now Meta, is also a major player in offering lucrative compensation packages, with machine learning engineers earning an average of ₹1.45 crore per year. Amazon: Amazon continues to invest heavily in machine learning, with salaries for machine learning engineers averaging around ₹1.4 crore annually. Microsoft: At Microsoft, machine learning engineers can expect competitive salaries, with an average annual compensation of ₹1.45 crore. These figures underscore not only the financial rewards of a career in machine learning but also the premium placed on talent by industry leaders. As you embark on your journey in 2024, these salary standards and opportunities in top companies make the field of machine learning engineering even more enticing. Your Path to Becoming a Machine Learning Engineer Embarking on the journey to become a machine learning engineer involves a strategic approach. Follow these three essential steps: Earn a bachelor’s degree in computer science or a related field: A strong foundation in computer programming, data science, and mathematics is crucial. Many machine learning engineering jobs require at least a bachelor’s degree, so consider starting your academic journey in computer science or a closely related field. Gain entry-level work experience: Jumpstart your career by working in the data science field. Entry-level positions such as computer engineer, data scientist, software developer, or software engineer can pave the way for a successful machine learning career. Build your machine learning expertise: While gaining experience, focus on building specialized skills. Engage in machine learning projects, earn relevant certifications, and consider courses like the machine learning specialization from Stanford University on Coursera. This program provides a comprehensive introduction to supervised and unsupervised learning, offering the knowledge you need to excel in the field. Start Your Machine Learning Journey Today by opting Machine Learning Course The realms of artificial intelligence and machine learning are expanding, and the demand for skilled professionals is higher than ever. Begin your journey today by building your knowledge of software development, learning various programming languages, and working towards your initial bachelor’s degree. At Ethan’s Tech, we offer a Machine Learning Course to help you prepare for an exciting career in the machine learning field. If you’re ready to dive into the world of machine learning, explore the machine learning specialization from Ethan’s Tech. It’s an excellent starting point to equip yourself with the skills and knowledge needed for a successful career in this dynamic and evolving field. Your future as a machine learning engineer awaits—let Ethan’s Tech guide you on your transformative journey. Tags Machine learning course … Read more

Exploring the Symbiosis of Generative AI and Large Language Models: Real-world Insights

by
Generative AI and LLM

Introduction Let’s dive into the cool world where smart machines get creative and understand lots of words. This magical partnership between Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has changed how we use technology. They team up to do amazing things like talking like us, writing stuff, and solving problems. In this article, we’ll take a closer look at how Generative AI and LLMs work together, with real examples showing their super teamwork. Understanding Generative AI and Large Language Models Imagine a smart robot that can create things on its own – that’s Generative AI. Now, think of another robot that’s really good at reading and understanding tons of words – that’s the Large Language Model. When these two robots join forces, they can make human-like text. This team-up helps with language tasks like translating, making content, and even writing computer code. Real-world Case Studies and Examples OpenAI’s GPT-3 in Content Creation OpenAI’s GPT-3 is like a super-smart writer on the internet. It can write all sorts of things, like articles, blogs, and stories, almost like a computerized storyteller. People use it to save time because it’s like having a clever assistant that never gets tired. Imagine GPT-3 as a digital artist that knows a lot about words and how to put them together. It can create different types of writing on many topics, making it a helpful tool for various needs. What makes GPT-3 special is that it learned a lot from reading many things. This learning helps it understand how language works, what words mean, and even how to use grammar correctly. So, when people ask it to write something, it can do it in a way that makes sense and sounds good. People use GPT-3 when they need help with writing, like making blog posts regularly, writing essays for school, or coming up with ideas for stories. GPT-3 becomes a helpful sidekick that makes writing easier and quicker. The cool part is that GPT-3 can adjust its writing style based on what people want. It’s like having a writing assistant that listens to instructions and creates content just the way you want it. As we explore more about smart machines and how they work with humans, GPT-3 shows us what’s possible. It’s not just a tool for writing; it’s a partner that helps us be more creative and efficient. The teamwork between people and GPT-3 paints a bright picture of how machines and humans can work together to make exciting things happen in the world of writing and creativity. Chatbots and Customer Support Consider a scenario where you can have a friendly conversation with a computer, just like you would with a pal. This remarkable experience is crafted by the collaboration of Generative AI and Large Language Models (LLMs) within customer support chatbots. Major companies employ these conversational robots to promptly assist customers and ensure their concerns are acknowledged. Here’s how it works: Generative AI and LLMs team up to make these chatbots intelligent. They comprehend what people are saying and respond in a way that makes sense, resembling the way a good friend would communicate. This capability allows companies to efficiently handle a large volume of customer questions and issues without causing delays. Imagine encountering an issue with a recently purchased product, like a new phone. You type a message, and the chatbot on the company’s website engages with you. It might say, “Hello! I’m here to assist you. What seems to be the problem with your phone?” This interaction is akin to having a knowledgeable friend who can guide you towards a resolution. These conversational robots continuously learn from numerous interactions, enhancing their abilities over time. They adapt to what works well and what doesn’t, ensuring a smoother customer experience. Consequently, companies can provide assistance to more individuals simultaneously, guaranteeing that everyone receives the support they require. In essence, chatbots fueled by Generative AI and LLMs serve as friendly aides for prominent companies. They transform the interaction with a computer into a friendly conversation, delivering prompt and valuable support whenever it is needed. This synergy benefits both customers and companies – customers receive the assistance they seek, while companies efficiently address the needs of everyone. Code Generation with OpenAI Codex Codex, a close companion to GPT-3, possesses an impressive ability to grasp the intentions of a programmer. When you convey what you desire your computer program to accomplish, Codex steps in and crafts the necessary code on your behalf. This proves to be immensely beneficial for numerous individuals, streamlining the coding process significantly. It’s akin to having an intelligent assistant well-versed in the language of computers, translating your concepts into functional code. This not only simplifies the coding experience but also serves as a time-saving and efficient solution for those engaged in programming tasks. Language Translation with Google’s Transformer Imagine Google’s Transformer as a linguistic superhero, possessing an exceptional skill for seamless translation. This robotic marvel not only understands but also adeptly converts words from one language to another, with the primary aim of enriching communication and fostering mutual understanding, especially among speakers of different languages. In practical terms, if you have a piece of text in English that you wish to translate into Spanish, Google’s Transformer takes center stage, performing its transformative feat. It skillfully translates the words, making them accessible and intelligible for individuals conversant in Spanish. This simplifies the exchange of ideas, information, and stories, facilitating a deeper connection for those engaging in cross-linguistic conversations. Fundamentally, Google’s Transformer assumes the role of a linguistic advocate, dismantling language barriers and facilitating effective communication across diverse linguistic backgrounds. It operates as a linguistic virtuoso, ensuring that everyone can freely articulate their thoughts and ideas, transcending the challenges presented by language variations. Content Summarization and Information Extraction In the world of smart technology, these intelligent robots take on the task of reading lengthy articles for us. Their special skill? They sift through the content and pinpoint the most crucial information. What’s even … Read more

Tosca vs Selenium: Which One is Right for You?

by
compare tosca and selenium

Introduction In the world of software testing, test automation has become an essential part of the software development process. It is critical to select the right tool that meets your testing requirements. Tosca and Selenium are two popular test automation tools that offer several features and functionalities for automating tests. Tosca and Selenium both have their advantages and disadvantages. In this article, we will compare Tosca and Selenium and help you understand which tool is the best for your test automation needs. Tosca VS Selenium: Key Differences Before we dive into the comparison, let’s take a quick look at Tosca and Selenium. What is Tosca? Tosca is a model-based test automation tool developed by Tricentis. It is widely used for end-to-end functional testing, API testing, and performance testing. Tosca offers a codeless approach to test automation, which makes it easy for non-technical users to create and maintain automated tests. What is Selenium? Selenium is a widely used open-source test automation tool that allows developers and testers to automate web applications. It offers a suite of tools for automating web browsers, including Selenium WebDriver, Selenium IDE, and Selenium Grid. Tosca VS Selenium: Comparison Let’s take a closer look at the key differences between Tosca and Selenium. User Interface Tosca offers a user-friendly interface that allows non-technical users to create and maintain automated tests easily. In contrast, Selenium requires some coding knowledge to create automated tests. Scripting Language Tosca uses its proprietary scripting language called Tricentis Script Language (TSL), while Selenium supports several programming languages such as Java, Python, C#, and Ruby. Object Recognition Tosca uses model-based test automation, which means it creates a model of the application under test and generates test cases from the model. In contrast, Selenium uses object-based identification, which requires testers to identify elements in the application manually. Cross-Browser Compatibility Selenium offers cross-browser compatibility, which means it supports testing across multiple web browsers such as Chrome, Firefox, and Safari. In contrast, Tosca has limited cross-browser compatibility. Integration with Other Tools Tosca integrates with several third-party tools such as JIRA, Jenkins, and Selenium. Selenium also supports integration with several tools such as Jenkins, Docker, and TestNG. Cost Tosca is a commercial tool and requires a license fee to use. In contrast, Selenium is an open-source tool and is available for free. TOSCA VS SELENIUM: Which One to Choose? If you’re in the market for a test automation tool, you’ve probably heard of Tosca and Selenium. Both are popular choices in the industry, but which one is right for you? When to Choose Tosca? If you have a complex application that requires end-to-end functional testing If you have non-technical users who need to create and maintain automated tests If you have a budget to invest in a commercial tool When to Choose Selenium? If you have a web application that requires cross-browser testing If you have developers and testers who are proficient in programming languages such as Java or Python If you have a limited budget and want to use an open-source tool Both Tosca and Selenium have their advantages and disadvantages. The choice between the two depends on several factors, including the type of application, the testing requirements, and the budget.

Advantages and Disadvantages Of Artificial Intelligence

by
Pros and Cons of Artificial Intelligence

Introduction Artificial Intelligence (AI) has rapidly become one of the most significant technological advancements of our time, revolutionizing the way we live and work. With AI technology being used in industries ranging from healthcare to finance, it’s easy to see why its popularity continues to grow. However, like any significant advancement, there are both advantages and disadvantages of artificial intelligence that need to be considered. In this article, we will explore the pros and cons of artificial intelligence to give you a comprehensive understanding of this innovative technology. Advantages of Artificial Intelligence AI technology has numerous benefits, and we’ll be covering some of the most notable advantages of artificial intelligence in this section.  Enhanced Productivity One of the most significant advantages of AI is the increased productivity it provides. By automating repetitive and time-consuming tasks, AI can help businesses and individuals free up their time to focus on more critical aspects of their work. For instance, chatbots powered by AI technology can handle customer queries, leaving customer service representatives free to address more complex issues.  Improved Efficiency Another advantage of artificial intelligence is the improved efficiency it brings to different industries. With AI algorithms that can analyze vast amounts of data in real time, businesses can make quicker, more informed decisions. For example, financial institutions can use AI to analyze market trends and make investment decisions in real time.  Cost Savings AI technology can also help businesses save money by reducing labor costs. By automating tasks that were previously performed by humans, businesses can reduce their workforce and improve their bottom line. For example, self-driving trucks could replace human drivers in the transportation industry, leading to significant cost savings.  Enhanced Accuracy AI technology is designed to be precise, and it can perform tasks with a higher level of accuracy than humans. For instance, AI algorithms can detect fraud with a higher degree of accuracy than humans, reducing the risk of financial loss for businesses.  Improved Personalization AI technology can help businesses personalize their offerings to customers by analyzing data and creating personalized recommendations. For example, Amazon’s recommendation engine uses AI algorithms to suggest products that customers are likely to be interested in based on their purchase history and browsing behavior. Disadvantages of Artificial Intelligence  Job Losses One of the biggest concerns with AI is its potential impact on employment. As AI systems become more advanced, they may be able to perform tasks that were previously done by humans. This could lead to significant job losses, particularly in industries such as manufacturing, transportation, and customer service. While AI can create new jobs, it is unclear whether they will be able to replace the jobs lost. Artificial intelligence (AI) and data science are deeply interconnected, as AI leverages data science techniques to analyze and interpret complex data sets, but it also introduces challenges such as ethical concerns and potential job displacement. Dependence on Technology As we become more reliant on AI, there is a risk that we will lose our ability to perform tasks without it. This could lead to a loss of skills and knowledge, which could have negative consequences for society as a whole. Moreover, if AI systems fail or malfunction, we may not be able to perform critical tasks or make important decisions.  Bias and Discrimination AI systems are only as good as the data they are trained on. If the data is biased, the AI system will also be biased. This can lead to discrimination and unfair treatment of certain groups of people. For example, facial recognition systems have been shown to be less accurate for people with darker skin tones. This could have serious consequences in law enforcement and other contexts. Privacy and Security AI systems collect vast amounts of data, which can include personal information. There is a risk that this data could be used for nefarious purposes, such as identity theft or surveillance. Additionally, AI systems may be vulnerable to cyberattacks, which could compromise sensitive information and cause significant harm.  Lack of Creativity While AI systems can perform tasks that require a high level of precision and accuracy, they lack creativity and the ability to think outside the box. This means that they may not be able to solve problems that require creative thinking. Moreover, AI may exacerbate the “echo chamber” effect, where individuals are only exposed to information that confirms their existing beliefs and biases. Conclusion Artificial Intelligence has revolutionized the way we live and work, and it has the potential to continue transforming our world in many positive ways. However, it is important to acknowledge the potential drawbacks of AI technology, including ethical concerns and potential job displacement. The future of AI is uncertain, but it is clear that this technology will play an increasingly important role in our lives.

Robotic Process Automation-Churning Out Opportunities & Futuristic Trends in 2022

by
Robotic-Process-Automation-Churning-Out-Opportunities-Futuristic-Trends-in-2022

The procedure involving automation of business operations with robotic assistance for minimizing human endeavors and intervention is called Robotic Process Automation (RPA). It’s a software robotics, employing automation technicalities for imitating back-office responsibilities, otherwise done by humans, which includes data extraction, forms filling, files transfer, juxtaposing APIs and User Interface (UI) interactions for integrating and executing repetitive tasks amongst organizations and productiveness applications. RPA’s forte lies in providing quick and easy front-end integrations. We, at Ethans Tech, equipped with RPA Course in Pune including online Robotic Automation Courses, help aspirants to ‘realize’ and ‘live’ their dreams!  Robotic Process Automation (RPA) RPA Course in Pune and online Robotic Process Automation courses, comprises of: Low-code skills for constructing automation scripts. Integration with organization applications. Orchestration & management including configuration, tracking & security. Robotic Process Automation, imparted on online Robotic Process Automation Courses as well as offline  Benefits: Less coding Rapid cost-saving Higher customer satisfaction Improved employee morale Better accuracy & compliance Existing system remaining as it is Industries leveraging RPA technology for streamlining their functionalities: Banking & Financial services Insurance Retail Healthcare In light of RPA usages and benefits, it’s incumbent to look at promising and booming futuristic trends (2022) and scopes that Robotic Automation Process (RPA) unleashes: Intelligent Automation (IA)-RPA and artificial intelligence are combined in Intelligent Automation (IA) for empowerment of end-to-end processes and acceleration of digital endeavors, broadening horizons of business process automation. Cognitive bots are indispensable members of hybrid workforce as they constantly learn from data and make decisions.  Safety-Security is key priority when RPA is implemented in internal and external operations. Owing to greater optimization via RPA, businesses will get access to strong relevant data sets that can be utilized for getting valuable insights. Be it ensuring confidentiality in sectors like healthcare or protecting consumer data from hackers, security architecture must meet highest industry requirements. Acceptance of Change-RPA is becoming an indispensable aspect for extracting the best out of employees and streamlining procedures in an evolving range of business domains. Likewise, the number of trained and knowledgeable RPA providers trained in online Robotic Automation Courses and RPA Course in Pune, are on rise. This practice will continue to prosper as more organizations implement industry best practices. RPA CoE’s Elevation-More business firms will use automation best practices and develop RPA centers for excellence due to RPA’s high-maintenance cost and support (CoEs). RPA CoEs are increasingly becoming common, yet to assist for standardizing and governing RPA, reducing bot glitches, maintenance, and lost business value when bots are made redundant. Smart Processes get Automated-RPA taught in RPA Course in Pune, automates structured data by adhering to set of rules. With technological advancement, RPA system preparing SPA bots will include component or function of machine learning, potentially benefitting from capabilities of other emerging technologies like artificial intelligence (AI) and big data.  Systems Intelligence-By 2022, RPA taught in online Robotic Process Automation courses, will be more integrated with Artificial Intelligence (AI) and Machine Learning (ML) approaches. Distinction between bots and digital workers like software will grow more prominent, with RPA bots focusing on tasks based on procedures and rules that have been logged. AI will assist in the performance of increasingly challenging tasks, helping to connect automation islands, allowing for more seamless process automation and departmental integration, averting bottlenecks.  RPA will Fuel Innovation-Competition will be erased by some of previous RPA users and organizations with powerful automation programs. According to an estimate, 5% of Fortune 500 companies will employ this level of automation for powering extreme innovation.  SME to Adopt RPA at Faster Rate-Small and medium businesses (SMEs) will continue to use RPA solutions at faster rate to streamline their processes. Survey conducted by Deloitte shows 73% of respondents (CEOs) states that companies will employ intelligent automation. Semantic Automation-Robots learn by observing and imitating actions without precise instructions. Bots understand procedures, collect data, move elements needed for workflow completion employing semantic automation. Developers and business users will just have to request robots completing tasks. It’s on tracks to transform RPA solutions, making engineers more productive and businesses more scalable. Final Thoughts on RPA Trends- 2022 can be a game changer for RPA, charting out new terrains, gaining more grounds, and will continue to solidify its effervescent presence and dominance as must-have enterprise technology. RPA has potential to propel business to pinnacle of success, enabling you to give more tailored and improved client experience. In nutshell, RPA taught at RPA Course in Pune, is apt for recent times & posterity for: Ease of bot setup Low-code capabilities Machine learning capabilities Exception handling & human review Integration with enterprise application Cloud bots Scalability Ethans Tech RPA Course in Pune, specializes in UiPath, a Robot Process Automation Platform tool centralized on advanced RPA Developer Global Certification supplied by UiPath, tremendously making a mark in the industry. RPA Course in Pune at Ethans Tech make students prepared for making foray into industry by working on multiple case studies, equipping them with applicable concepts. Students get hands-on experience, recognizing real-time problems in multiple faces of implementation, from Requirement Analysis until Deployment. Ethans Tech conducts Parallel discussion on Interview questions and Resume Construction enabling students to be go-getters. We envision dreams to be metamorphosed into reality!  

Selenium vs RPA- What is the difference?

by
Selenium Vs RPA

Introduction:  Technology, in recent days, has reached peaks and the increase of automation has added more wings to this transformation. From automating a simple unit test to automating the entire business process, technology has augmented its manner to the digital era. This Selenium vs RPA blog, like this blog, will provide you with a lucid concept of how those automation tools differ from one another. So, on this Selenium vs RPA blog, you will be evaluating the 2 automation giants. Let’s take a look at what we can be discussed on this Selenium vs RPA blog:  What is selenium?:  Selenium is a free (open-source) automated testing framework used to validate web applications throughout exclusive browsers and platforms. You can use multiple programming languages like Java, C#, Python, etc to create Selenium Test Scripts. Testing was done the usage of the Selenium testing tool is generally known as Selenium Testing. Features of Selenium: Selenium helps cross-browser testing which makes the implementation of the test-cases easy throughout numerous browsers multiple times. Test cases can be written in several programming languages which include Java, Python, C#, Ruby, etc. Among these, Java is the most typically used language to write test scripts. Selenium is incredibly flexible with regard to functional and regression testing. Functional testing allows testing of the software against the business requirement and ensures there are no defects. Regression testing enables re-executing the tests towards the changed application to check whether the modified code runs accordingly. A set of Selenium commands that run tests are known as Selenese, and the test script refers back to the series of those commands. Tests can’t be performed on mobile or desktop applications; it is entirely prone to web application testing. What is RPA? RPA is an application of technology, governed by business logic and structured inputs, aimed toward automating business processes. Using RPA tools, an organization can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems.  Features of RPA :  RPA became coined with the imaginative and prescient of empowering enterprise customers to create software program bots (robots) that would engage with machines similar to humans. It advanced from the 3 key predecessors: Screen scraping, workflow automation, and artificial intelligence. RPA bots are effective to imitate numerous human actions which include logging into applications, copying and pasting statistics, passing files and folders, filling in forms, scraping browsers, and extracting structured & semi-structured data from documents. It is exceedingly dependent on Screen scraping & Workflow automation that manages workflows the use of drag & drop functions in a visible way, that’s totally independent of coding knowledge. RPA is essentially a mixture of Artificial Intelligence and automation. RPA is platform-independent. Difference between RPA and Selenium: Based on  RPA  Selenium  Types of Automation  Robotic Process automation supports Flexible Automation Selenium helps programmable automation Cost  If we need to build a project in RPA we need to purchase its tools. So RPA is costly to examine to selenium Selenium is absolutely open-source so it’s free. Dependency  RPA is platform-independent. It may be run on mobile, desktop, web-applications Selenium is used to test the most effective web applications. o It can’t be run on a laptop or mobile application. Component used RPA makes use of ROBOTS to finish any task Selenium used WEB-DRIVERS to automate any task Level of Automation RPA plays all clerical strategies like data entry, Banking calculation RPA plays all clerical strategies like data entry, Banking calculation Will Automation  Business Process Web applications Coding-knowledge Minimum coding knowledge is required Fundamental knowledge is required use- case  Run at the backend of a process Can test the current webpage Conclusion:  In this Selenium vs. RPA blog, this article has mentioned the main differences and similarities between the 2 booming automation software in the industry. Both Selenium and RPA have their personal pros and cons in terms of Automation. So, one needs to be particular about the necessities and the way properly those tools are aligned with the same. Ethans Tech provides you both the course and both the courses have distinct features for each course.

Everything About RPA, You Should Know.!

by
Everything About RPA, You Should Know.!

Introduction:  The process of automating business operations with the assistance of robots to reduce human intervention is stated to be Robotic Process Automation(RPA). If I need to elaborate on each of those phrases one by one, then Robotic entities that mimic human movements are known as Robots. A process is a chain of steps that result in significant activity. For example, the process of creating tea or your preferred dish, etc. Automation is any method that is executed through a robotic without human intervention. So, while we summarize these types of phrases together, then mimicking human actions to carry out a chain of steps, leading to significant activity, without any human intervention is likewise referred to as Robotic Process Automation. What is RPA all about? : Robotic process automation (RPA), additionally referred to as software robotics, makes use of automation technology to imitate back-office responsibilities of human workers, which includes extracting data, filling in forms, transferring files, et cetera. It combines APIs and user interface (UI) interactions to integrate and carry out repetitive tasks among organization and productiveness applications. By deploying scripts that emulate human processes, RPA tools complete autonomous execution of numerous activities and transactions throughout unrelated software systems. How does RPA work? : RPA software tools have to consist of the subsequent core skills: Low-code skills to construct automation scripts Integration with organization applications Orchestration and management which includes configuration, tracking, and security. Automation technology, like RPA, also can get entry to data via legacy systems, integrating properly with different programs via front-end integrations. This lets the automation platform act in addition to a human worker, performing routine tasks, consisting of logging in and copying and pasting from one system to another. While back-end connections to databases and organization web services additionally help in automation, RPA’s real cost is in its quick and easy front-end integrations. Benefits of RPA:  There are various benefits of RPA, which includes-    Less coding: RPA does not always require a developer to configure; drag-and-drop functions in user interfaces make it less complicated to onboard non-technical staff.   Rapid cost-saving: Since RPA reduces the workload of teams, the workforce may be reallocated towards different priority work that does require human input, mainly to increase productivity and ROI.   Higher customer satisfaction: Since bots and chatbots can work across the clock, they could reduce wait times for customers, leading to higher charges of client satisfaction.   Improved employee morale: By lifting repetitive, high-quantity workload off your team, RPA permits people to recognize more considerate and strategic decision-making. This shift in work has a high-quality effect on employee happiness.   Better accuracy and compliance: Since you could program RPA robots to comply with particular workflows and rules, you could reduce human error, especially around work that requires accuracy and compliance, like regulatory standards. RPA also can offer an audit trail, making it easy to monitor development and solve problems more quickly.   The existing system remains in place: Robotic process automation software does not cause any disruption to underlying structures due to the fact bots work at the presentation layer of present applications. So, you could enforce bots in conditions wherein you don’t have an application programming interface (API) or the sources to expand deep integrations. Challenges of RPA:  While RPA software can assist an organization to grow, there are a few obstacles, including organizational culture, technical problems, and scaling.   Organizational culture: While RPA will reduce the want for certain job roles, it’s going to additionally drive growth in new roles to address more complicated tasks, permitting employees to pay attention to higher-level methods and innovative problem-solving. Organizations will need to promote a culture of learning and innovation as responsibilities inside job roles shift. The adaptability of staff may be essential for successful results in automation and digital transformation projects. By teaching your workforce and making an investment in training programs, you could put together teams for ongoing shifts in priorities.   Difficulty in scaling: While RPA can carry out more than one simultaneous operation, it is difficult to scale in an organization because of regulatory updates or inner changes. According to a Forrester report, 52% of clients declare they struggle with scaling their RPA program. An organization ought to have 100 or more active operating robots to qualify as a complicated program, however, few RPA projects progress past the primary 10 bots. Uses of RPA:  There are numerous industries that leverage RPA technology to streamline their business operations. RPA implementations may be discovered throughout the subsequent industries:   Banking and financial services: In the Forrester record on “The RPA Services Market Will Grow To Reach $12 Billion By 2023”, 36% of all use cases have been in the finance and accounting space. More than 1 in 3 bots nowadays are in the financial industry, which is of little surprise given banking’s early adoption of automation. Today, many primary banks use RPA automation solutions to automate responsibilities, which include client research, account opening, inquiry processing, and anti-money laundering. A bank deploys thousands of bots to automate manual high-quantity data entry. These techniques entail a plethora of tedious, rule-based tasks that automation streamlines.   Insurance: Insurance is complete of repetitive strategies properly suitable for automation. For example, you may practice RPA to claims processing operations, regulatory compliance, policy management, and underwriting tasks.   Retail: The rise of eCommerce has made RPA a necessary factor of the modern retail industry that has progressed back-office operations and the client experience. Popular applications consist of client relationship management, warehouse and order management, client feedback processing, and fraud detection.   Healthcare: Accuracy and compliance are paramount in the health care industry. Some of the world’s biggest hospitals use robotic process automation software programs to optimize data management, prescription management, insurance claim processing, and fee cycles, amongst different processes. Why is RPA the fastest-growing enterprise software in the world? : When you integrate RPA’s quantifiable fee with its ease of implementation relative to different organization technology, it’s easy to … Read more