摘要： Think about a typical development life cycle. There are so many stages that require constant testing. It is a critical step that removes any defects that would interfere with the final product. Now, imagine how much time testers would take with manual tests. Not only would the processes be repetitive, menial, and tiresome. They will also be prone to human errors that result from fatigue or inattention.
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： Digitalization, data utilization, IT speeds to market, and airtight security will be business and IT focuses for 2022 -- along with the never-ending pursuit of talent.
摘要： Don't let useless, unnecessary data strangle your storage resources. Save time and money, while eliminating potential mistakes and confusion, by embracing data hygiene.
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： Artificial intelligence and machine learning are not “set and forget” technologies. They need quality assurance to operate, and continue to operate, as intended.
摘要： Many enterprises move their data problems to the cloud. Invest the time and money to clean up your data so that it can be more valuable to the business.
