Avoid the Pitfalls Cloud migrations are most often slowed or stalled by three powerful forces, so it’s crucial for executives and project leaders to be aware of these common pitfalls.
First, many organizations overestimate their data needs, resulting in an unnecessarily cumbersome data migration challenge, says Beth Boettcher, senior vice president of Oracle’s North American Application Consulting Group. Second, employees have trouble letting go of the business processes they know—and focus on that change rather than the business outcomes the company is trying to achieve with a move to the cloud. Third, the big changes the cloud brings to IT are often seen as a threat to jobs rather than an opportunity to be more innovative. More from Boettcher on how to overcome these forces.
— Margaret Harrist, Oracle Content Strategist |
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| Oracle Cloud Platform: Up to 3,500 Free Hours |
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| | Four AI Use Cases That Don’t Require a Data Scientist
Business and tech leaders worry that their company is missing out on the coming AI revolution because they don’t have the deep tech skills to put it to use. “I tell them that getting real value from AI, and from its related discipline of machine learning, doesn’t have to be that hard,” writes Oracle Cloud Platform’s Siddhartha Agarwal. Learn about AI-driven analytics and three other important use cases that don’t require PhD-level data science. |
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| Events | Application Development Day
August–January | various locations |
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| Intro to IoT: Cloud-Connected Gizmos
August 30 | Online |
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October 22–25 | San Francisco |
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October 22–25 | San Francisco |
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