A modern enterprise IT platform often needs to be all things to all people: to accommodate both new and legacy workloads and be managed by both internal and external experts. To achieve this breadth of capabilities, many businesses have augmented their existing platforms with cloud capabilities
Artificial intelligence and machine learning (ML) have become very popular recently due to their ability to both optimize processes and provide the deep insights that push enterprises and industries forward. In fact, 68 percent of respondents in a recent 451 Research Report, Accelerating AI with
Big data doesn’t need to be a daunting challenge for small or midsized business (SMBs). Accessing, storing and exploring big data can be done by businesses of any size. An influx of data from sensors, streaming audio and video log files, web, and social media are increasing the volume, velocity,
Discover nine fields of study for corresponding data analysis professionals that contribute significantly to analytics projects, their key value propositions and challenges and high-level suggestions for categorizing and organizing the rapidly growing analytics resource pool.