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While the intelligence underlying artificial intelligence (AI) may be machine-generated, its impact on business operations is profoundly transformative. Eventually, AI is the most promising and sought-after technology in the current business landscape. As it is catalyzing significant advancements across industries by enhancing the speed, quality, and efficiency of existing products and services. Likewise, enterprise AI

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We all know how the logistics and supply chain industry operates at a rapid pace. However, the evolving expectations of customers continuously reshape business requirements, making it difficult to keep pace. Accordingly, businesses must deal with intricate networks of suppliers, transportation, warehouse systems, and last-mile deliveries while meeting customer expectations. So, in order to tackle

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Since the early 2000s, the Environmental, Social, and Governance (ESG) – framework has become a vital tool for assessing a business’s sustainability and societal impact. As awareness  of climate change and ethical business practice rises, ESG emerges as a vital framework shaping corporate strategies. With more investors prioritizing ESG factors, businesses are increasingly adopting innovative

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Undoubtedly, the power and potential of Artificial Intelligence (AI) are nothing short of transformative, leaving no room for understatement. From personalized recommendations to automated customer services, it is transforming how businesses operate across industries. Nowadays, businesses are progressively depending on AI applications to enhance their services. Consequently, AI applications are bringing transformative changes and setting

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In the contemporary data driven world, Customer Relationship Management (CRM) has become a cornerstone of modern business strategy. At its core, CRM systems are designed to help businesses manage interactions with current and potential customers.  However, traditional CRM systems often fall short in meeting modern expectations for personalization and responsiveness. But, this is where AI

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13th August 2024

What is Responsible AI?

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The conversation around what is responsible AI has gained significant momentum across industries, yet a universally accepted definition remains puzzling. Often, responsible AI is seen merely as a way to avoid risks, but its scope is much broader. Moreover, it not only involves mitigating risks and managing complexities, but also using AI to transform lives

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The concept of digital twin technology has rapidly evolved from a futuristic notion to a practical reality, reshaping industries globally. As a result, the demand for digital twin applications is rising astoundingly in the Industry 4.0 landscape. Moreover, Fortune Business Insights -23 report even predicts that the digital twin technology market will cross $136 billion

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Traditional classroom models, dominating educational landscapes for generations, are undergoing a massive transformation in the context of Education 4.0. Accordingly, this upcoming educational framework prioritizes personalization, adaptability, and the strategic utilization of technology to enhance learning experiences. Likewise, AI in education is emerging as a transformative force within this evolving educational ecosystem.  Besides, the global market

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Using AI analytics for business has made data discovery more automated than ever before. Consequently, this has made AI capable of doing the work of data analysts without any human-like limitations. Accordingly, AI analytics has advanced rapidly in recent times, fuelled by advancements in  machine learning and natural language processing (NLP). Besides, by leveraging AI

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It goes without saying that Artificial Intelligence (AI) is significantly transforming industries, by enhancing business operations and introducing fruitful opportunities. Now, in the midst of this progress, the real estate industry is gaining a leading momentum in the AI race. Likewise, AI in real estate is reshaping the methodology of property transactions and revolutionizing how

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