Source – https://www.financialexpress.com/ Blueshift raises $30 million in Series C funding round to scale its SmartHub customer data platform Marketing and customer experience (CX) are increasingly intertwined in today’s connected world, and marketers are being tasked with understanding customers through the lens of CX data to craft personalised experiences. However, traditional marketing platforms focus only Read More

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Source – https://www.itp.net/ AI may determine whether a company makes it to a human evaluation at all, according to Gartner’s latest study More than 75% of venture capital (VC) and early-stage investor executive reviews will be informed using artificial intelligence (AI) and data analytics by 2025, according a recent industry study. According to Gartner, by 2025, the AI- Read More

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Source – https://www.techrepublic.com/ Turns out, “calling it from the gut,” may become a strategy of the past as data increasingly drives decision-making. But how will these data-driven approaches change investment teams? In the age of digital transformation, artificial intelligence and data science are allowing companies to offer new products and services. Rather than relying on human-based intuition Read More

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Source – https://www.healtheuropa.eu/ Researchers say that machine learning could help guide healthcare workers’ treatment decisions for lung cancer patients after developing a model that is 71% more accurate at predicting survival expectancy of patients. A team of Penn State Great Valley researchers conducted a study in which they developed a deep learning model that is more than Read More

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Source – https://healthitanalytics.com/ A deep learning algorithm could help providers predict survival expectancy in patients with lung cancer, which could help guide treatment decisions. A deep learning tool was able to accurately predict survival expectancy in patients with lung cancer, potentially leading to more informed care decisions by providers, according to a study published in the International Journal Read More

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Source: venturebeat.com It’s often assumed that as the complexity of an AI system increases, it becomes invariably less interpretable. But researchers have begun to challenge that notion with libraries like Facebook’s Captum, which explains decisions made by neural networks with the deep learning framework PyTorch, as well as IBM’s AI Explainability 360 toolkit and Microsoft’s InterpretML. In a bid Read More

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Artificial Intelligence