AI and Machine Learning Trends in 2024

As we delve deeper into the age of artificial intelligence (AI) and machine learning (ML), it is crucial to stay ahead of the curve by identifying emerging trends that will shape our future. In 2024, several key advancements are set to revolutionize these technologies, paving the way for unprecedented possibilities. One of the top AI…

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How to Become a Citizen Data Scientist

The job responsibilities of a citizen data scientist include dealing with new data, using automated tools to process big data, and creating additional models to gain additional insights. Their primary job is not to make predictions directly from big data, or develop prescriptive analytics, but to build models and use tools that accomplish those goals….

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Data Analytics Platforms: Features and Benefits

Data analytics platforms offer a collection of powerful tools that enable organizations to make sense of the vast amount of data they generate and collect. These platforms offer a range of capabilities, including data integration, data cleansing, predictive modeling, and real-time reporting.  The platforms usually provide a comprehensive suite of tools and techniques for analyzing…

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2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data…

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Data Visualization Tools

From social media interactions to online purchases, online activity leaves behind a trail of valuable information. However, this abundance of data presents a unique challenge for businesses and organizations: How can they make sense of this vast sea of information and use it to their advantage? This is where data analysis and data visualization tools…

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Fundamentals of Hyperautomation

Hyperautomation describes a mixture of advanced technologies – robotics, artificial intelligence, machine learning – currently being used to make automated processes drastically more efficient and to augment humans. It encompasses a range of tools which can be automated, especially the more sophisticated aspects of automation, including analysis, discovery, design, measuring, monitoring, and reassessing. To function…

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Machine Learning Use Cases for Data Management

In 2023, machine learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of artificial intelligence (AI), offers various approaches to tackle Data Management challenges. With the ever-increasing “volume, velocity, and variety of data” being generated today, traditional methods of Data Management have become…

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Fundamentals of Real-Time Analytics

In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics…

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A Brief History of Natural Language Processing

Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three…

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