“What’s the Difference between Data Science, Data Analysis, Big Data, Data Mining and Machine Learning?”

““As data is growing fast, new terms appear. Data Science (DS), Data Analytics, Data Analysis, Big Data (BD), Data Mining (DM) and Machine Learning (ML) – all these notions form a unique system but differ from each other”.”   This system and the relations within it might be schematically presented by the onion diagram. DM…

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“Top Five Business Analytics Intelligence Trends for 2019”

““AI promises to enhance human understanding by automating decision-making. But, as organisations rely on AI and machine learning for data-driven decision-making, we’re seeing a rise in human hesitation about the trustworthiness of model-driven recommendations”.”   Top trends in business Analytics Intelligence: 1) After the hype, the rise of explainable AI: There is lack of machine…

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“Nexign Expert: Deploying Data from IoT Devices to Pursue Growth”

““Digital life and data generated by urban and industrial environment, along with proper technologies, help to improve the efficiency of knowledge extraction and speed and accuracy of decision-making. IoT holds great promise for both enterprises and end-users”.”   Loukas Tzitzis, Chief Products and Marketing Officer, Nexign, explains how enterprises can deploy data from Internet of…

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“AI, Big Data & Advanced Analytics In The Supply Chain”

“By adopting advanced analytics into the supply chain, businesses can run more efficiently, mitigate risk, and ultimately offer a better customer experience”   More and more businesses are going digital, and the result is that a large amount of data is being produced within their supply chains. Data is useless without the tools that allow…

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“Does Your Team Need a Data Curator?”

“It’ll be interesting to see what the future holds for this role, and whether or not we end up seeing the ‘The Rise of the Data Curator’”   To start an analytics project, a company needs to know: 1) if the current data sources will be enough; 2) if the needed data is available; 3)…

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