The pandemic of the past 2 years has proven to be a significant disruptor, bringing to light the many flaws in cybercrime preparedness across several industries. However, opportunity exists for government and business leaders to repair the cracks and prepare for the future. Underpinning good automation with best practices will ensure that organizations are set up for success against future attacks.
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The internet and IoT benefit from AI, and AI is quickly shaping the world around us and becoming increasingly important within business operations. In fact, research by Deloitte shows that 73% of IT and line-of-business executives view AI as an indispensable part of their current business. It's clear to see that there is great potential for AI in virtually all areas of our lives. However, AI systems can only ever be as powerful as the information they are built on. Huge quantities of very specific data is needed to effectively train systems in the right way. Here, we'll explore the key points behind the data required and how it is being sourced.
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Database management system (DBMS) configuration tuning is an essential aspect of any data-intensive application effort. But it is historically difficult because DBMSs have hundreds of configuration "knobs" that control everything in the system, such as the amount of memory to use for caches and how often the DBMS writes data to storage.
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There are some words that you have never heard of and when you hear them for the first time—bam! From that instant, you hear them every day and read them everywhere. "Metaverse" is such a word. Today, the metaverse, long seen as a futuristic dream, is quickly becoming a reality. What it will become remains to be seen.
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