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New business models, great opportunity: Financial services

New business models, great opportunity: Financial services More motivated than ever, organizations in all industries are ready to reduce costs that do not result in a net return on investment. It is therefore not surprising that survey respondents place computer projects (all very measurable) as a priority in the 2021 plans. Among financial services organizations, 62% are looking to increase technology investment and another 62% expect to take IT and business functions to the cloud, compared to 46% in the industrial sector. In a recent report, Nucleus Research found that cloud deployments provide four times the return on investment as local deployments do. Planning beyond the pandemic

MIT Executive Study Uncovers Top Healthcare Trends Shaping IT Resilience

MIT Executive Study Uncovers Top Healthcare Trends Shaping IT Resilience
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Build high quality data and AI organization

wiredprnews In this case, proper data management is one of the foundations of a data-driven organization. But managing data in a business can be very difficult. As these new technologies come, parental burdens and data legacy grow, unless they are integrated or protected. The fragmentation of architecture is the subject of a large data center (CDO), not only because of silos but also the various future tools and cloud tools that many organizations use. In addition to the lack of information, these topics include capturing groups of information groups – as well as learning machines and assisted analytics – running with the amount needed to deliver the results of the business you want.

High-performance data management is critical for delivering business results with cloud data and AI platforms, says MIT Technology Review Insights

Share this article Share this article CAMBRIDGE, Mass., April 15, 2021 /PRNewswire/  A new report by MIT Technology Review Insights explores how decision-makers from leading organizations excel by deploying advanced cloud-based technologies, including analytics and machine learning capabilities. The report, Building a high-performance data and AI organization, is produced in association with Databricks and is based on a survey of 351 global senior data officers as well as in-depth interviews with data and analytics leaders at organizations including Total, The Estée Lauder Companies, McDonald s, L Oréal, CVS Health, and Northwestern Mutual. The findings are as follows: Just 13% of organizations excel at delivering on their data strategy. This select group of high-achievers deliver measurable business results across the enterprise. They are succeeding thanks to their attention to the foundations of sound data management and architecture, which enable them to democratize

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