There are a variety of AI tools available that can help streamline and optimize workplace processes. In this article, we will explore five AI tools that can be used in the workplace.
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Machine learning is making cyber security professionals more productive and less expensive, while increasing productivity. However, the essential data has to be there to support it…
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Have you ever wondered why your code just doesn’t look as clean as some of your more senior coworkers? More than likely the biggest difference is refactoring!
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Due to increasing threats from malicious software (malware) in both number and complexity, researchers have developed approaches to automatic detection and classification of malware…
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As women gain more and more visibility in CEO, Presidential, and Technical Director positions within the IT industry, it seems unnecessary to demythify its common association with men and men only…
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Kotlin Flow is a new JetBrains Stream Processing library built on top of Kotlin Coroutines. Its main goal is to provide a standard for asynchronous streaming…
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As a data scientist, the data I work with comes in two forms: structured and unstructured. Structured data is straightforward: columns represent features, rows represent observations.
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Like many professionals, a lot of my time, though not as much as it sometimes feels like, is spent in various calls, meetings, and lunches with clients and potential clients.
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An important part of my job as the principal data scientist of a consultancy is interviewing and hiring data science talent to meet the needs of our ever-growing client base.
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Mobile technology has revolutionized the way businesses interact with customers. With the widespread use of smartphones, mobile apps have become an essential part of any brand-consumer relationship and often, the business’ core and success.