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Blog on Data Science, AI, Machine Learning & IoT,
Artificial Intelligence (AI), machine learning, and data intelligence technologies are promising the future of workplace transformation through empowering efficiency, prioritizing…
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Data-driven AI is promising the future of retail by fulfilling the dream of retailers to become more customer-centric. As the…
Read moreModern analytics and BI systems are the business tools and systems used by most business units for effective operations. Increasing…
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Hospital bed management systems became a pivotal practice after the National Health Service’s statement rule on patient’s emergency trolly waiting…
Read moreIs smart traffic management a real concern? Most of the traffic management systems available today are not automated and prone…
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Text analytics, also known as text mining, defines the process of semi-automatically collecting, aggregating, segregating, and analyzing large volumes of…
Read moreIt is considered all over the world that 44% of the population between the mid 30’s to 60’s tend…
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The manifestation of big data in the era of intelligent tourism is promoting actionable insights to boost the travel industry.…
Read moreApplications of Reinforcement Learning has achieved impressive results over a diverse set of dynamic challenges faced by different industries. Its…
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The digital explosion has transformed the way marketing channels operate, analyze, target, and position their products. Marketers who had a…
Read moreThe digital transformation provided new thoughts on mall analytics by addressing the reason why people still visit malls. After significant…
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Deploying the IoT in telecom industry changing the dynamics in communication between humans and devices. To offer better user interface…
Read moreThe digital disruption in multimedia and extensive use of images and videos in the world wide web gave attention to…
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With the digital disruption, the Media and Entertainment (M&E) industry collected and stored unrecognized hidden patterns of data lakes. To…
Read moreWith the progress in industry architecture and complexity in the adaption of IoT system networks, the centralization of IoT networks…
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Smart Agriculture strengthening the future of AI in the farming industry, according to Zion market research. The world population is…
Read moreTechnology disruption has changed the social, economic, and environmental aspects of every industry, but real estate had a slow growth…
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Industry 4.0 aims at harnessing industrial data to drive better improvements and efficiencies to add across the value chain. The…
Read moreNLP in pharma is at the tip of the iceberg. with evolving application of it, the pharma industries leveraging the…
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Machine learning has a clear advantage over the legacy model practices, as from various applications, fraud detection, fraud prevention, and…
Read moreDeep Learning applications has made headway in solving automatic recognition of patterns in data, which surpassed human beings. In the…
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The main objective of any supply chain remains to be the management of inventory, from procurement to supply the right…
Read moreThe term AI (Artificial Intelligence) was first coined by John Mc Carthy in 1956 at a conference in the US.…
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Big Data Analytics influences smart transportation by enabling the move of the internet of Electric Vehicles (EVs) to optimized EV…
Read moreThe retail sector is seeing a continual and phenomenal transformation over the last few years, all thanks to the NLP…
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The concept of Data Analytics in Sports was caught by the wider public eye in the Hollywood movie called “Moneyball”…
Read moreMachine learning is the best way for companies to derive new knowledge from historical data. The technology enables digital systems…
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Data Science has become one of the most powerful technologies in the retail sector by providing fact-based and data-driven insights.…
Read moreThe Health industry relies massively on new technologies to increase and optimize its capabilities. Healthcare is a multi-trillion-dollar global industry,…
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The term Big Data refers to the large volumes of internal and external data that can be collected, stored, and…
Read moreAccording to IDC’s Data Age 2025 Research, in 2025, the world is expected to be creating 175 zetabytes (175 trillion…
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With more data flowing in from various sectors of businesses and industries, it becomes imperative to adopt new age technologies,…
Read moreEnterprise Chatbots or Virtual Assistants are computer programs that mimic human conversations with real people by using Artificial Intelligence(AI) and…
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Creating an engaging customer experience is vital for any business. Businesses are collecting and using data to improve the customer experience. Retaining…
Read moreThe Oil & Gas industry heavily relies on new technologies to increase and optimize its capabilities and help it discover…
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The insurance industry is growing with an enormous amount of data that is being gathered from various sources like smartphones,…
Read moreIoT is facilitating machine-to-machine connectivity and opening up new possibilities in businesses and personal lives. One of the early adopters…
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As per a survey on Digital Signage by SalonSense Media, “Over 60 per cent of purchase decisions are made at…
Read moreThe Banking Industry has evolved with the digital revolution, due to which there has been tremendous growth in the dynamics…
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Data Science technology provides great opportunities to the Airlines Industry. The aeroplanes flying high in the skies are generating a…
Read moreApplications of AI in Enterprises Faced with digital disruption in their industry and a radical shift in consumer behaviour, enterprises…
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Data Science and its technologies like Big Data, Machine Learning, and AI etc., have changed the way data are managed,…
Read moreBuilding a mobile app is easy. But building successful mobile app startups is not. There are hundreds of mobile app…
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Enterprise Software Development has gone through a metamorphosis in the last few years. From being complex, clunky and low on…
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