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 Technological advancement seems to have reached its peak with the widespread use of artificial intelligence. Right from our daily life chores to the global economy, everything is experiencing a transformation with the use of generative AI tools. However, artificial intelligence is not one true technology; rather, it is a broad sector with multiple subfields or types of AI technologies. Two of these technologies, often used in collaboration, are generative AI and predictive AI. To harness the full potential of AI technology in an organization, understanding these AI technologies is crucial. In this blog, we shall break down the generative AI vs predictive AI differences, use cases, and benefits for a deeper understanding.   What are Generative AI and Predictive AI?   Generative AI and Predictive AI both fall under the broader AI technology umbrella. However, their functionalities vary significantly from each other.   Generative AI   Generative AI is a...

Human Resources (HR) operations have always been known to use extensive documentation, repetitive tasks, and complex talent management. However, the surging application of generative AI is rapidly transforming this field. It does so by automating regular tasks, personalizing employee experience, and enhancing the decision-making process. In this blog, we will discover the scope and impact of adopting GenAI in HR operations .  We shall also discuss the strategic implementation and best practices required to extract maximum benefits from AI adoption.   Current Scenario of Generative AI    The application of generative AI in HR operations is increasing with each passing day. As per the market research projections, the generative AI market in HR operations will reach an approximate USD 1.93 billion by 2033. This suggests a compound annual growth rate of 15.4% from 2024 to 2033.  The numbers are evidence of how GenAI is rapidly making a strong presence in modern...

 Artificial intelligence is not just one technology; rather, it is an umbrella of advanced simulated intelligence technologies. These technologies are capable of performing tasks that previously needed human intelligence. AI is a set of techniques working through tools, platforms, and agents. All these technologies are a subfield of artificial intelligence and thus can be called AI-powered. In this blog, let us understand 2 important technologies under the AI umbrella: AI agents vs Agentic AI and how they differ from each other.   AI Agents vs Agentic AI: Why to Know the Difference   With more and more business owners updating their work with AI technology, it is important to understand what AI brings to the table. When most of the market is shifting towards AI-powered businesses, everyone must implement AI and remain competent. Before considering AI adoption in your businesses, you must be well-versed in AI-related terminologies and technologies. This guide will hel...

Generative artificial intelligence is among the most groundbreaking advancements in modern technology. Unlike standard AI, which mostly analyzes data or makes predictions, generative AI creates new, original stuff, including language, art, music, code, and even synthetic data. Its rise is transforming the way individuals, companies, and industries operate and ushering in a new era of innovation and automation. What Is Special About Generative AI? Generative artificial intelligence is based on machine learning models like transformers, generative adversarial networks (GANs), and variational autoencoders (VAEs). These models allow it to identify patterns in large datasets and use that knowledge to provide relevant and practical results. Beyond automating analytics and decision-making, generative AI goes beyond traditional AI. By mimicking human creativity and cognitive processes, it provides a basis for next-generation automation by producing content that appears genuine and appropr...

Data analytics is the process of extracting insights from observing and analyzing a collected dataset. Traditionally, several tools played their part in one or the other processes of data analysis. Apart from the tools, there are formulas that need to be applied to data and get understandable results from it. However, AI  in data analytics has changed the way it works. AI increases speed and accuracy, is capable of handling large data smoothly, and can utilize intelligence to provide helpful insights. Let us understand briefly about data analysis and the role of artificial intelligence in data analytics .     How Does Data Analysis Work?   Data analysis is the process of analyzing data to extract information from it. When we use AI in data analytics, it is mainly utilized in the following 3 processes:   Data Ingestion and Preparation   Before beginning to analyze data, it needs to be collected, cleaned, and sorted. This process is called preparation....