In 2018, there was heightened awareness of artificial intelligence and machine learning and, in 2019, the emphasis is expected to increase on cognitive computing technologies that can analyze data in ways previously unimaginable and act independently or with limited human intervention. Here, executives of leading IT companies offer 9 predictions for what's ahead in 2019.
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Increasingly, DBAs are seeing artificial intelligence (AI), and machine learning applied to database management and optimization, taking self-healing and self-tuning to the next level. These solutions, from both database and third-party vendors, allow DBAs to spend less time searching for bottlenecks, and more time doing more productive and creative work in support of strategic business goals.
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The year just ending has been an interesting one for data managers. Artificial intelligence (AI) and machine learning took center stage, which also meant an increasingly glaring spotlight on data sourcing, management, and viability. The continued rise of the Internet of Things (IoT) also meant no letting up on demands for data environments to deliver requirements fast and furiously. The year ahead will bring more of the same—as well as a continuation of the transformation of information management.
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This year, DBTA's list of trend-setting products in data and information management includes newer approaches leveraging artificial intelligence, machine learning, and automation as well as products in more established categories such as relational and NoSQL database management, MultiValue, performance management, analytics, and data governance.
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