While IT has evolved significantly in the past decade as hardware and software innovations accelerate and customers seek solutions that increase efficiencies and lower costs, one aspect has remained the same: backup. And as the dependence on data grows for business insights and analytics, backup will only become more important in IT.
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Data Summit 2019 in Boston drew industry experts with deep knowledge spanning all areas of enterprise IT, including AI and machine learning, analytics, cloud, data warehousing, and software licensing who presented 3 days of thought-provoking sessions, keynotes, panel discussions, and hands-on workshops. Here are some key takeaways from the Data Summit 2019.
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Defense Strategies Institute is proud to announce the 6th annual Cyber Operations for National Defense Symposium occurring on September 19-20, 2019 at the Mary M. Gates Learning Center in Alexandria, VA. This year's summit is designed to bring together senior leaders in cyber security, government agencies and solution providers to focus on the theme "Achieving and Maintaining US Superiority in Cyberspace".
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AI, machine learning, and predictive analytics are used synonymously by even the most data-intensive organizations, but there are subtle, yet important, differences between them. Machine learning is a type of AI that enables machines to process data and learn on their own, without constant human supervision. Predictive analytics uses collected data to predict future outcomes based on historical data.
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