摘要： Many company representatives commit to moving massive amounts of data to a new location and anticipate numerous advantages. For example, a small business could become more competitive after transferring some content to the cloud. Managing data on-site is a labor-intensive exercise that often becomes prohibitively challenging.
摘要： The area of Artificial Intelligence and Data Science is massive. To understand between Artificial Intelligence and Data Science, often there is a lot of confusion. In this article, we’ve summarized the relationship between these technologies. But first, let’s take a look at what both of them stand for.
摘要： Looking to pursue a career as a data scientist? This is a field that many people are interested in because the job prospects are so good, with data playing such a pivotal role in modern-day business. Data scientists can benefit from great job security, lucrative pay, career development opportunities, and rewarding and interesting work. While there are many perks to a career as a data scientist, you should also know that it is not an easy job and will be competitive. With this in mind, keep reading for a few pieces of advice that should come in useful for anyone looking to pursue a career as a data scientist.
摘要： Marketers are increasingly coming to realize the importance of artificial intelligence (AI) for analyzing data and constructing more targeted campaigns. As AI becomes more advanced, it will almost certainly come to dominate the marketing industry in the years and decades to come.
摘要： Since its conception in October 2010 by James Dixon, data lake has undergone a myriad of developments and is now used globally by a lot of firms. To understand how a data lake works or what it can be used for, we must first understand what it means.