No-code AI platforms are a hot trend that can be leveraged by businesses to help them automate tasks and make data-driven decisions. But which platforms are the best? But before getting into the details, let us understand what a no-code platform is. What is a No-Code Platform? There have been multiple attempts over the decades …
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Edge AI is the future of artificial intelligence. This blog post will explore what Edge AI is and why it could be such an important part of our lives moving forward. What is Edge AI? Edge AI is a new trend in machine learning and artificial intelligence that processes data generated by a hardware device …
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The term “synthetic data” is used in computer vision to describe images that are generated by algorithms instead of being captured by a camera. These images are usually generated for training artificial intelligence (AI) models. The use of synthetic data has several advantages over real data. First, it is easier to get a large amount …
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Optical character recognition technology has a far way from recognizing just the text on computerized documents. The applications of OCR are transforming the future of data collection and processing. Whether it’s auto-extracting information from a scanned receipt or translating a foreign language using your phone’s camera, OCR technology has numerous applications that are continuously in …
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Sentiment analysis is the application of text mining tools to identify the objective behind a piece of specified information and predicting the positive or negative outcomes out of it. Sentiment analysis helps businesses primarily to analyze social sentiments and get informed about the voice of the customers regarding a brand, product, or service. Sentiment analysis …
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Text-based image retrieval (TBIR) systems use language in the form of strings or concepts to search relevant images. Computer Vision and Deep Learning algorithms analyze the content in the query image and return results based on the best-matched content. With the rapid advancement in Computer Vision and Natural Language Processing(NLP), understanding the semantics of text …
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Day by day the number of machine learning models is increasing at a pace. With this increasing rate, it is hard for beginners to choose an effective model to perform Natural Language Understanding (NLU) and Natural Language Generation (NLG) mechanisms. Researchers across the globe are working around the clock to achieve more progress in artificial …
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Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials …
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The increasing demand to channelize customers’ emotions along with their positive and negative reactions for optimizing operations and increasing revenues. Analyzing these reactions and extracting intelligence from them will help brands gauge the ROI of their PR and marketing efforts. And this era of the internet is making it far much easier to collect opinions …
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Machine Learning (ML) is one of the most disruptive trends of all time. With an increasing number of organizations indulging it today, Machine Learning (ML) technology is becoming one of the most powerful applications. While businesses are adopting transformation, it subsequently is speeding up the growth of ML and other supporting tools of ML. As …
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