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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

Research by Adobe shows that less than 1 in 10 businesses globally (9%) have a ‘highly integrated, cloud-based technology stack.’ For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. IoT Artificial Intelligence.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. 4 Data and analytics leaders, CDOs, and executives will increasingly work together to develop creative ways for data assets to generate new revenue streams.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.