Data Quality and AI, 5 Enterprise Tech Trends, Change for IT in 2018, and more. | 5 Reasons Data Scientists Should Adopt DevOps Practices | Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address. Continue Reading | | | Unlock the Value: From Data Quality to Artificial Intelligence Data quality, data privacy, and advanced technologies such as AI, machine learning, neural networks, and more, are of top concern to data analytics pros and IT managers, says Karen Lopez, Data & Analytics Track Chair for Interop ITX 2018. Read More 5 Tech Trends for the Enterprise in 2018 The Accenture Vision 2018 report has identified five trends for CIOs and other executives for the year ahead, including citizen AI, extended reality, and data veracity. Read More For IT in 2018, Think Change and Change Again Even with the ongoing new developments in core technologies, IT organizations are facing dramatic changes in how they work in 2018 as they embrace new business concepts and strategies. Read More Cisco Report: A Story of Cloud Endings and Beginnings While some aspects of the cloud, such as migrations, are rapidly coming to a close, new avenues are beginning to open. Read More |
| | | Top IT Trends for 2018 As we enter a new year of technology planning, find out about the hot technologies organizations are using to advance their businesses and where the experts say IT is heading. Read More |
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