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I believe you have already checked out our blog on Digital Twin technology. Now here’s the next part – In the context of Industry 4.0, Digital Twin Technology has emerged as a pivotal innovation for businesses. It serves as a predictive tool, providing valuable insights into future operations and outcomes. As the name suggests, these

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Just like GenAI, Predictive AI is also another subset of Artificial Intelligence (AI). It uses various statistical strategies and machine learning algorithms to identify patterns and trends in the data. Correspondingly, it predicts future outcomes based on the wide range of available data insights. This is very different from what GenAI does.   [Meanwhile, to understand

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As you know – “Machine Learning” (ML) is a part of Artificial Intelligence (AI). It primarily focuses on the development of advanced computer algorithms. In a nutshell, these algorithms allow computers to study user behavior & provide tailored content through its experience & usage.  This is exactly why it is crucial to understand the impact

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As we all know, Artificial Intelligence (AI) has two distinctive functional branches: Generative AI and Predictive AI. Both of these segments have applications that cater to various industry needs. Starting from healthcare to fintech, logistics & edutech, the evolution and implementation of AI in various industries have been massive. This is because, the impact of

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The advent of advanced technologies, particularly artificial intelligence (AI), has revolutionized the way organizations operate. Businesses that can be considered early adopters of AI technology were able to access innovative solutions to streamline their processes, enhance their decision-making, and deliver superior customer experiences. In this sense, AI has emerged as a game-changer for enterprises seeking

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“It will be unthinkable not to have artificial intelligence integrated into a product. Because everyone will expect it.” Sam Altman, CEO & Co-founder ( OpenAI ) So, 2024 started in quite an exciting way, especially if we talk about the significant achievements in Artificial intelligence (AI). We saw how various AI models like Open AI’s

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We are already aware of how the Internet Of Things (IoT) is actively transforming various business operations. It is also projected that the global IoT market will reach $1.6 trillion by 2025! This surge clearly demonstrates how massively this technology is gaining acceptance across industries. And to add to it, Enterprise IoT has started gaining

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Ahh, the same story every day: New AI tools are getting released, and businesses are rapidly integrating them into their operations. However, we got to know via our research team that most businesses are facing certain challenges, or as they called it – AI challenges, to implement AI in their ventures.  So maybe implementing AI

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In the early days of the internet, having a website was a sign of a serious business. It was a digital storefront, open to the world, signaling that the company was riding the wave of the future. Those were the cornerstones of a company’s online presence, providing information like its mission, product offerings, and contact

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Alright, so we all are aware of the impact that AI has been making, right? Now, imagine combining it with SaaS concepts. Though you may already know: Software as a Service (SaaS) is a cloud-based software delivery model where applications are hosted and accessed over the internet. Users subscribe to SaaS applications on a pay-as-you-go

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