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As we know, Artificial Intelligence (AI) has become quite prevalent across many sectors and quality management is not an exception. Likewise, AI in Quality Assurance (QA) practices offers businesses agile approaches to identify flaws and enhance their product/service quality.  Now what is AI in Quality Assurance? Well, AI applications in QA comprises algorithms that enhance

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Presently, the role of Artificial Intelligence (AI) in securing a competitive edge in the business world is undeniable. This is particularly noticeable in North America, which dominated the global AI market in the past year. Afterall, their AI innovations contributed to about 43% of their total revenue and this contribution is projected to triple by

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Globally, businesses have lost around $8 Trillion in 2023 alone due to the rising cybercrimes. So, it is no surprise that businesses are in dire need of advanced AI cybersecurity solutions. Due to ongoing attacks like polymorphic malware or scripting, cybercriminals are easily bypassing traditional cyber-security measures. Likewise, traditional cybersecurity systems were designed to defend

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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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“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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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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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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