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Some of the techniques are 1) Adaptive learning (analyze your performance on mock-standardized tests to figure out where your weak points are and then customize the lessons accordingly), 2) Learning analytics (Create interactive textbooks that can track students’ progress & Teachers can be able to assign certain problems as homework and then find out where individual students struggled.

Check on Taking technology to hinterlands: Transforming education for more details.

At a very basic level, ETL is a process in which data from disparate sources is extracted from a source database, transformed (or processed), and then loaded onto a target store or data warehouse.

Over the years, the way ETL works, and the business functions it serves have gone through fundamental changes to reach the current stage of its evolution – a highly effective technique to process and integrate real-time data stored across multiple entities.

Traditional ETL systems were developed in the early 1970s, when large organizations needed to integrate data generated by their different departments like sales, inventory, and marketing, and use this data to gain insights into their business and operations.

Another challenge was that data could only be moved in batches, which meant that large volumes of data could be moved only when network traffic was low.

It is now possible to query and process voluminous data in real-time from multiple sources that need to be tracked.

Modern ETL also supports most cloud-based operations which fetch and process data – today’s ETL solutions are flexible enough to handle multiple data sources along with both structured and unstructured data.

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Artificial Intelligence (AI), once a notion confined to Sci-Fi novels, movies and research papers are now making a tremendous impact on society.Artificial Intelligence is a broad and general term that refers to any type of computer software that engages in human-like activities including learning planning and problem-solving.

There are several artificial intelligence applications in consumer and business environments today, ranging from Apple’s Siri to Google’s DeepMind.Artificial intelligence in the business world, allows businesses to work smartly and efficiently, doing more with a lot less.

Companies nowadays are searching for strong, innovative approaches that will enhance and streamline processes as innovation and culture continue to advance.The current state of Artificial Intelligence:Artificial Intelligence (AI) is no longer an avant-garde concept today — it is a scientific approach to be planned for, by companies.

Several early adopters are going on, switching to types of AI that are usually done by humans to execute or improve tasks.

For example, robotic process automation is replacing repetitive tasks such as data entry; natural language processing is being used to generate meaning from human speech; and machine learning is now processing, analyzing, and acting on vast amounts of data.In a Deloitte survey of 1,500 senior executives in the U.S., 76 percent said AI would change their company over the next three years, and 92 percent said the software was “important” or “extremely important” to their internal business processes.

As a result, we are expected to see a much-needed industry evolution: quicker economies, learner activities, healthier companies, rising income, informed customers, and competitive businesses.AI does not only change the way companies work, but it also radically change the traditional thinking and sense of teamwork, competitiveness, and creativity.

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